Mohammad Shahidehpour | Illinois Institute of Technology (original) (raw)

Papers by Mohammad Shahidehpour

The principal objective of the asset management in a power distribution utility enterprise (DUE) ... more The principal objective of the asset management in a power distribution utility enterprise (DUE) is to guide the acquisition, use and disposal of distribution system assets to provide the level of service required by customers in the cost-effective manner, encompassing the strategic planning, maintenance and utilization and operation of a physical resource throughout its life. This study categorizes the asset management strategies of a (DUE) based on short-term, mid-term and long-term timescales and shows that their coordination plays a critical role in making strategic decisions. Short-term asset management is related with operational issues. Secure and reliable operation of the network, system monitoring and control, fault restoration are among the issues discussed in the paper. The issues regarding the maintenance of assets including the optimal maintenance strategy and optimal outage plan are presented under the title of mid-term asset management. Finally, strategic planning is discussed, where distributed generation (DG) is evaluated in the context of long-term system planning strategy. The utilization of information technologies (IT) plays a central role in the asset management of a DUE in all timescales

IEEE Electrification Magazine, 2013

IET Generation, Transmission & Distribution, 2013

IEEE Transactions on Sustainable Energy, 2000

This paper proposes a constrained ordinal optimization (COO) based method for solving the scenari... more This paper proposes a constrained ordinal optimization (COO) based method for solving the scenario-based stochastic security constrained unit commitment problem. The basic idea is to sample a large number of candidate unit commitment (UC) solutions by a crude model and then use an accurate model on a small selected subset to find good enough UC solutions over all scenarios. To facilitate the proposed method, a feasibility model is utilized that applies analytical conditions for identifying the feasibility of UCs. A blind picking approach based on the feasibility model is incorporated in the COO-based method for seeking good enough solutions. Numerical tests are performed on a modified IEEE 118-bus system with a high penetration of wind energy, in which hourly forecast errors of wind speed and loads and random outages of system components are considered. The simulation results show the validity and the effectiveness of the proposed method. Comparative evaluations of the proposed COO-based method with mixed-integer linear programming solvers are considered in this paper.

IEEE Transactions on Power Systems, 2004

Abstract—This paper presents an approach for maximizing a GENCO's profit in a constr... more Abstract—This paper presents an approach for maximizing a GENCO's profit in a constrained power market. The proposed ap-proach considers the Interior Point Method (IPM) and Benders decomposition for solving the security-constrained optimal gener-ation scheduling ...

The Electricity Journal, 2012

International Journal of Electrical Power & Energy Systems, 2012

Transmission switching (TS) would play a vital role in the security and economics of electric pow... more Transmission switching (TS) would play a vital role in the security and economics of electric power systems. The application of TS to the AC model of security-constrained unit commitment (SCUC) for the dayahead scheduling is presented in this paper. The proposed AC model of SCUC with TS would include real and reactive power flow constraints which increase the controllability of base case and contingency solutions with voltage constraints. A general FACTS model is introduced for the reactive power management in SCUC which is based on the power injection model (PIM). A modified Newton-Raphson power flow model is introduced in the proposed SCUC with TS in which line flows are considered as variables. The proposed AC network model is compared with the DC network model for enhancing the power network controllability and minimizing the operation cost. The case studies exhibit the effectiveness of the TS application to SCUC with AC network constraints.

2008 IEEE International Conference on Electro/Information Technology, 2008

Long-term load forecasting has a vital role in generation, transmission and distribution network ... more Long-term load forecasting has a vital role in generation, transmission and distribution network planning. Traditional studies for long-term load forecasting were based on regression method, which could not provide a true representation of power system behavior in a volatile electricity market. The purpose of this paper is to introduce two approaches based regression method and artificial neural network (ANN) for

IEEE PES General Meeting, 2010

This paper proposes a new methodology for evaluating the probabilistic reliability of grid constr... more This paper proposes a new methodology for evaluating the probabilistic reliability of grid constrained composite power system including the WTG. The proposed model can consider capacity limitation and forced outage rate of transmission line. The importance of renewable energy sources has been growing at a high rate as a result of being environment friendly. In particular, wind energy is one

2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, 2010

2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, 2010

ABSTRACT This paper proposes a new methodology for evaluating the probabilistic reliability of a ... more ABSTRACT This paper proposes a new methodology for evaluating the probabilistic reliability of a grid constrained composite power system including wind turbine generators(WTG). The proposed model can consider capacity limitations and transmission line forced outage rates. The importance of renewable energy sources has been growing at a high rate as a result of being environment friendly. In particular, wind energy is one of the most successfully utilized such source to produce electrical energy. The random nature of wind speed can be incorporated in the evaluation by representing the WTG by multi state models. A simple case study shows in detail how it is used to perform a reliability evaluation study in proposed model.

IEEE Transactions on Smart Grid, 2011

In this paper, the hourly demand response (DR) is incorporated into security-constrained unit com... more In this paper, the hourly demand response (DR) is incorporated into security-constrained unit commitment (SCUC) for economic and security purposes. SCUC considers fixed and responsive loads. Unlike fixed hourly loads, responsive loads are modeled with their intertemporal characteristics. The responsive loads linked to hourly market prices can be curtailed or shifted to other operating hours. The study results show that

IEEE Transactions on Power Systems, 2000

This paper presents a novel methodology for the spatial power network planning problem based on t... more This paper presents a novel methodology for the spatial power network planning problem based on the raster map in geographic information systems (GIS). Considering candidate lines and cell linkages, the proposed spatial power network planning model integrates the optimal electric line routing and the power network evaluation, with the objective of the minimum line investment cost. The network connectivity with candidate line routes and the hourly network evaluation for peak power loads are considered to ensure the feasibility of the line path and the security of power systems. The derived mixed-integer nonlinear programming (MINLP) formulation is transformed into a mixed-integer linear programming (MILP) problem by integer algebra techniques. Furthermore, in order to improve the computational efficiency, a tighter MILP formulation with the proposed enhanced line routing constraints is proposed. Numerical case studies illustrate the effectiveness of the proposed approach for the spatial power network planning problem.

IEEE Transactions on Power Systems, 2000

ABSTRACT This paper presents a comprehensive expansion planning algorithm of generation and trans... more ABSTRACT This paper presents a comprehensive expansion planning algorithm of generation and transmission components in multi-area power systems. The objective is to minimize the total system cost in the planning horizon, comprising investment and operation costs and salvage values subject to long-term system reliability and short-term operation constraints. The multi-area expansion planning problem is decomposed into a planning problem and annual reliability subproblems. The planning decisions calculated in the planning problem would also satisfy the short-term operation constraints. A detailed model of thermal and hydro units is considered using the mixed-integer programming (MIP) formulation. In addition, a multi-state representation for the expansion planning of renewable energy units is explored. The proposed approach considers customers' demand response as an option for reducing the short-term operation costs. The planning problem solution is applied to the annual reliability subproblems which examine system reliability indices as a post-processor. If the reliability limit is not satisfied, additional reliability constraints will be introduced which are based on the sensitivity of system reliability index to investment decisions. The new reliability constraints are added to the next iterations of the planning problem to govern the revised plan for the optimal expansion. Numerical simulations indicate the effectiveness of the proposed approach for solving the operation-constrained multi-area expansion planning problem of practical power systems.

IEEE Transactions on Instrumentation and Measurement, 2000

The dynamic state estimation (DSE) applied to power systems with synchrophasor measurements would... more The dynamic state estimation (DSE) applied to power systems with synchrophasor measurements would estimate the system's true state based on measurements and predictions. In this application, as phasor measurement units (PMUs) are not deployed at all power system buses, state predictions would enhance the redundancy of DSE input data. The significance of predicted and measured data in DSE is affected by their confidence levels, which are inversely proportional to the corresponding variances. In practice, power system states may undergo drastic changes during hourly load fluctuations, component outages, or network switchings. In such conditions, the inclusion of predicted values could degrade the power system state estimation. This paper presents a mixed-integer programming formulation of DSE that is capable of simultaneously discarding predicted values whenever sudden changes in the system state are detected. This feature enhances the DSE computation and will not require iterative executions. The proposed model accommodates systemwide synchronized measurements of PMUs, which could be of interest to smart grid applications in energy management systems. The voltage phasors at buses without PMUs are calculated via voltage and current measurements of adjacent buses, which are referred to as indirect measurements. The guide to the expression of uncertainty in measurement is used for computing the confidence level of indirect measurements based on uncertainties associated with PMU measurements as well as with transmission line parameters. Simulation studies are conducted on an illustrative three-bus example and the IEEE 57-bus power system, and the performance of the proposed model is thoroughly discussed.

IEEE Transactions on Power Delivery, 2000

ABSTRACT The integration of high-voltage direct-current (dc) transmission lines in conventional a... more ABSTRACT The integration of high-voltage direct-current (dc) transmission lines in conventional alternating-current (ac) systems would affect the indirect measurement of phasor measurement unit (PMU) devices since the concept of phasors would not correspond to dc transmission circuits. The optimal PMU placement problem in ac/dc systems subjected to the system observability is presented in this paper by applying a mixed-integer programming model. In practice, the cost of each PMU is variable as a function of PMU measurement channels. This attribute is incorporated in the proposed model as well. In addition, the number of PMU measurement channels is deemed to be technically limited; thus, the common assumption concerning allocation of one PMU device to a single node is relaxed. The objective in the proposed optimization model is to minimize the total installation cost of PMUs when considering the observability of ac/dc transmission systems in the base case and contingency conditions. Numerical analyses are conducted for the IEEE standard test systems and a large-scale system, and the results are discussed.

IEEE Transactions on Power Systems, 2000

IEEE Transactions on Power Systems, 2000

This paper proposes a series of new metrics for the reliability and economic assessment of microg... more This paper proposes a series of new metrics for the reliability and economic assessment of microgrids in distribution system. These metrics include reliability parameters for a microgrid in the islanded mode, indices indicating distributed generation (DG) and load characteristics in the microgrid, microgrid economic indices, and customer based microgrid reliability indices. A two-step Monte Carlo simulation (MCS) method is proposed to assess the reliability and economics of a microgrid with intermittent DGs as well as the reliability of distribution system with microgrids. An application in IEEE-RBTS shows the effectiveness of the reliability and economic assessment technique with the proposed metrics, which can provide scientific and comparative information for the design and operation of microgrids.

IET Generation, Transmission & Distribution, 2013

ABSTRACT This study proposes a stochastic optimisation model for the day-ahead scheduling in powe... more ABSTRACT This study proposes a stochastic optimisation model for the day-ahead scheduling in power systems, which incorporates the hourly demand response (DR) for managing the variability of renewable energy sources (RES). DR considers physical and operating constraints of the hourly demand for economic and reliability responses. The proposed stochastic day-ahead scheduling algorithm considers random outages of system components and forecast errors for hourly loads and RES. The Monte Carlo simulation is applied to create stochastic security-constrained unit commitment (SCUC) scenarios for the day-ahead scheduling. A general-purpose mixed-integer linear problem software is employed to solve the stochastic SCUC problem. The numerical results demonstrate the benefits of applying DR to the proposed day-ahead scheduling with variable RES.

IEEE Transactions on Power Systems, 2000

... short-term scheduling of integrated gas network and hydrothermal power system was solved in [... more ... short-term scheduling of integrated gas network and hydrothermal power system was solved in [26] by applying Lagrangian relaxation and dynamic programming. This paper proposes an integrated model for studying the interdependency of electricity infrastructure and natural ...

The principal objective of the asset management in a power distribution utility enterprise (DUE) ... more The principal objective of the asset management in a power distribution utility enterprise (DUE) is to guide the acquisition, use and disposal of distribution system assets to provide the level of service required by customers in the cost-effective manner, encompassing the strategic planning, maintenance and utilization and operation of a physical resource throughout its life. This study categorizes the asset management strategies of a (DUE) based on short-term, mid-term and long-term timescales and shows that their coordination plays a critical role in making strategic decisions. Short-term asset management is related with operational issues. Secure and reliable operation of the network, system monitoring and control, fault restoration are among the issues discussed in the paper. The issues regarding the maintenance of assets including the optimal maintenance strategy and optimal outage plan are presented under the title of mid-term asset management. Finally, strategic planning is discussed, where distributed generation (DG) is evaluated in the context of long-term system planning strategy. The utilization of information technologies (IT) plays a central role in the asset management of a DUE in all timescales

IEEE Electrification Magazine, 2013

IET Generation, Transmission & Distribution, 2013

IEEE Transactions on Sustainable Energy, 2000

This paper proposes a constrained ordinal optimization (COO) based method for solving the scenari... more This paper proposes a constrained ordinal optimization (COO) based method for solving the scenario-based stochastic security constrained unit commitment problem. The basic idea is to sample a large number of candidate unit commitment (UC) solutions by a crude model and then use an accurate model on a small selected subset to find good enough UC solutions over all scenarios. To facilitate the proposed method, a feasibility model is utilized that applies analytical conditions for identifying the feasibility of UCs. A blind picking approach based on the feasibility model is incorporated in the COO-based method for seeking good enough solutions. Numerical tests are performed on a modified IEEE 118-bus system with a high penetration of wind energy, in which hourly forecast errors of wind speed and loads and random outages of system components are considered. The simulation results show the validity and the effectiveness of the proposed method. Comparative evaluations of the proposed COO-based method with mixed-integer linear programming solvers are considered in this paper.

IEEE Transactions on Power Systems, 2004

Abstract—This paper presents an approach for maximizing a GENCO's profit in a constr... more Abstract—This paper presents an approach for maximizing a GENCO's profit in a constrained power market. The proposed ap-proach considers the Interior Point Method (IPM) and Benders decomposition for solving the security-constrained optimal gener-ation scheduling ...

The Electricity Journal, 2012

International Journal of Electrical Power & Energy Systems, 2012

Transmission switching (TS) would play a vital role in the security and economics of electric pow... more Transmission switching (TS) would play a vital role in the security and economics of electric power systems. The application of TS to the AC model of security-constrained unit commitment (SCUC) for the dayahead scheduling is presented in this paper. The proposed AC model of SCUC with TS would include real and reactive power flow constraints which increase the controllability of base case and contingency solutions with voltage constraints. A general FACTS model is introduced for the reactive power management in SCUC which is based on the power injection model (PIM). A modified Newton-Raphson power flow model is introduced in the proposed SCUC with TS in which line flows are considered as variables. The proposed AC network model is compared with the DC network model for enhancing the power network controllability and minimizing the operation cost. The case studies exhibit the effectiveness of the TS application to SCUC with AC network constraints.

2008 IEEE International Conference on Electro/Information Technology, 2008

Long-term load forecasting has a vital role in generation, transmission and distribution network ... more Long-term load forecasting has a vital role in generation, transmission and distribution network planning. Traditional studies for long-term load forecasting were based on regression method, which could not provide a true representation of power system behavior in a volatile electricity market. The purpose of this paper is to introduce two approaches based regression method and artificial neural network (ANN) for

IEEE PES General Meeting, 2010

This paper proposes a new methodology for evaluating the probabilistic reliability of grid constr... more This paper proposes a new methodology for evaluating the probabilistic reliability of grid constrained composite power system including the WTG. The proposed model can consider capacity limitation and forced outage rate of transmission line. The importance of renewable energy sources has been growing at a high rate as a result of being environment friendly. In particular, wind energy is one

2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, 2010

2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, 2010

ABSTRACT This paper proposes a new methodology for evaluating the probabilistic reliability of a ... more ABSTRACT This paper proposes a new methodology for evaluating the probabilistic reliability of a grid constrained composite power system including wind turbine generators(WTG). The proposed model can consider capacity limitations and transmission line forced outage rates. The importance of renewable energy sources has been growing at a high rate as a result of being environment friendly. In particular, wind energy is one of the most successfully utilized such source to produce electrical energy. The random nature of wind speed can be incorporated in the evaluation by representing the WTG by multi state models. A simple case study shows in detail how it is used to perform a reliability evaluation study in proposed model.

IEEE Transactions on Smart Grid, 2011

In this paper, the hourly demand response (DR) is incorporated into security-constrained unit com... more In this paper, the hourly demand response (DR) is incorporated into security-constrained unit commitment (SCUC) for economic and security purposes. SCUC considers fixed and responsive loads. Unlike fixed hourly loads, responsive loads are modeled with their intertemporal characteristics. The responsive loads linked to hourly market prices can be curtailed or shifted to other operating hours. The study results show that

IEEE Transactions on Power Systems, 2000

This paper presents a novel methodology for the spatial power network planning problem based on t... more This paper presents a novel methodology for the spatial power network planning problem based on the raster map in geographic information systems (GIS). Considering candidate lines and cell linkages, the proposed spatial power network planning model integrates the optimal electric line routing and the power network evaluation, with the objective of the minimum line investment cost. The network connectivity with candidate line routes and the hourly network evaluation for peak power loads are considered to ensure the feasibility of the line path and the security of power systems. The derived mixed-integer nonlinear programming (MINLP) formulation is transformed into a mixed-integer linear programming (MILP) problem by integer algebra techniques. Furthermore, in order to improve the computational efficiency, a tighter MILP formulation with the proposed enhanced line routing constraints is proposed. Numerical case studies illustrate the effectiveness of the proposed approach for the spatial power network planning problem.

IEEE Transactions on Power Systems, 2000

ABSTRACT This paper presents a comprehensive expansion planning algorithm of generation and trans... more ABSTRACT This paper presents a comprehensive expansion planning algorithm of generation and transmission components in multi-area power systems. The objective is to minimize the total system cost in the planning horizon, comprising investment and operation costs and salvage values subject to long-term system reliability and short-term operation constraints. The multi-area expansion planning problem is decomposed into a planning problem and annual reliability subproblems. The planning decisions calculated in the planning problem would also satisfy the short-term operation constraints. A detailed model of thermal and hydro units is considered using the mixed-integer programming (MIP) formulation. In addition, a multi-state representation for the expansion planning of renewable energy units is explored. The proposed approach considers customers' demand response as an option for reducing the short-term operation costs. The planning problem solution is applied to the annual reliability subproblems which examine system reliability indices as a post-processor. If the reliability limit is not satisfied, additional reliability constraints will be introduced which are based on the sensitivity of system reliability index to investment decisions. The new reliability constraints are added to the next iterations of the planning problem to govern the revised plan for the optimal expansion. Numerical simulations indicate the effectiveness of the proposed approach for solving the operation-constrained multi-area expansion planning problem of practical power systems.

IEEE Transactions on Instrumentation and Measurement, 2000

The dynamic state estimation (DSE) applied to power systems with synchrophasor measurements would... more The dynamic state estimation (DSE) applied to power systems with synchrophasor measurements would estimate the system's true state based on measurements and predictions. In this application, as phasor measurement units (PMUs) are not deployed at all power system buses, state predictions would enhance the redundancy of DSE input data. The significance of predicted and measured data in DSE is affected by their confidence levels, which are inversely proportional to the corresponding variances. In practice, power system states may undergo drastic changes during hourly load fluctuations, component outages, or network switchings. In such conditions, the inclusion of predicted values could degrade the power system state estimation. This paper presents a mixed-integer programming formulation of DSE that is capable of simultaneously discarding predicted values whenever sudden changes in the system state are detected. This feature enhances the DSE computation and will not require iterative executions. The proposed model accommodates systemwide synchronized measurements of PMUs, which could be of interest to smart grid applications in energy management systems. The voltage phasors at buses without PMUs are calculated via voltage and current measurements of adjacent buses, which are referred to as indirect measurements. The guide to the expression of uncertainty in measurement is used for computing the confidence level of indirect measurements based on uncertainties associated with PMU measurements as well as with transmission line parameters. Simulation studies are conducted on an illustrative three-bus example and the IEEE 57-bus power system, and the performance of the proposed model is thoroughly discussed.

IEEE Transactions on Power Delivery, 2000

ABSTRACT The integration of high-voltage direct-current (dc) transmission lines in conventional a... more ABSTRACT The integration of high-voltage direct-current (dc) transmission lines in conventional alternating-current (ac) systems would affect the indirect measurement of phasor measurement unit (PMU) devices since the concept of phasors would not correspond to dc transmission circuits. The optimal PMU placement problem in ac/dc systems subjected to the system observability is presented in this paper by applying a mixed-integer programming model. In practice, the cost of each PMU is variable as a function of PMU measurement channels. This attribute is incorporated in the proposed model as well. In addition, the number of PMU measurement channels is deemed to be technically limited; thus, the common assumption concerning allocation of one PMU device to a single node is relaxed. The objective in the proposed optimization model is to minimize the total installation cost of PMUs when considering the observability of ac/dc transmission systems in the base case and contingency conditions. Numerical analyses are conducted for the IEEE standard test systems and a large-scale system, and the results are discussed.

IEEE Transactions on Power Systems, 2000

IEEE Transactions on Power Systems, 2000

This paper proposes a series of new metrics for the reliability and economic assessment of microg... more This paper proposes a series of new metrics for the reliability and economic assessment of microgrids in distribution system. These metrics include reliability parameters for a microgrid in the islanded mode, indices indicating distributed generation (DG) and load characteristics in the microgrid, microgrid economic indices, and customer based microgrid reliability indices. A two-step Monte Carlo simulation (MCS) method is proposed to assess the reliability and economics of a microgrid with intermittent DGs as well as the reliability of distribution system with microgrids. An application in IEEE-RBTS shows the effectiveness of the reliability and economic assessment technique with the proposed metrics, which can provide scientific and comparative information for the design and operation of microgrids.

IET Generation, Transmission & Distribution, 2013

ABSTRACT This study proposes a stochastic optimisation model for the day-ahead scheduling in powe... more ABSTRACT This study proposes a stochastic optimisation model for the day-ahead scheduling in power systems, which incorporates the hourly demand response (DR) for managing the variability of renewable energy sources (RES). DR considers physical and operating constraints of the hourly demand for economic and reliability responses. The proposed stochastic day-ahead scheduling algorithm considers random outages of system components and forecast errors for hourly loads and RES. The Monte Carlo simulation is applied to create stochastic security-constrained unit commitment (SCUC) scenarios for the day-ahead scheduling. A general-purpose mixed-integer linear problem software is employed to solve the stochastic SCUC problem. The numerical results demonstrate the benefits of applying DR to the proposed day-ahead scheduling with variable RES.

IEEE Transactions on Power Systems, 2000

... short-term scheduling of integrated gas network and hydrothermal power system was solved in [... more ... short-term scheduling of integrated gas network and hydrothermal power system was solved in [26] by applying Lagrangian relaxation and dynamic programming. This paper proposes an integrated model for studying the interdependency of electricity infrastructure and natural ...