mohsen kia | UCD Ireland (original) (raw)

Papers by mohsen kia

International Journal of Renewable Energy Research, Mar 19, 2013

This paper proposes a short-term stochastic SCUC model that simultaneously schedules generating u... more This paper proposes a short-term stochastic SCUC model that simultaneously schedules generating units' energy and spinning reserve in presence of wind energy. It should be noted that system uncertainties, wind farm output uncertainties and power generators and lines outages are also considered in optimization process. The proposed stochastic SCUC model is formulated as a two-stage stochastic mixed-integer programming model. Performance of the proposed formulation is proved through test systems and the results are also presented.

International Journal of Electrical Power & Energy Systems

Member, IEEE Abstract--Unit Commitment is the optimization process for minimizing the total cost ... more Member, IEEE Abstract--Unit Commitment is the optimization process for minimizing the total cost of real power generation meeting the generating units and the system constraints. With the restructuring in power systems, the matter of great concern is the fuel cost and consequently electricity price increase in some hours of the day. Accordingly, the optimum performance of Demand Side Management (DSM) has been gaining great attention recently. In this paper, the effect of the optimum performance of Emergency Demand Response Program (EDRP) on the cost of the unit commitment problem considering the line flow constrains is scrutinized. Due to the fact that the simultaneous adoption of the unit commitment and demand response program is a complex non-linear problem with numerous discrete and continuous variables, it is logical to use the linear programming technique to effectively deal with these parameters. Having the GAMS software and CPLEX method exploited, the proposed method proved i...

Electrical Engineering in Japan, 2013

A “smart house” is a highly energy‐optimized house equipped with photovoltaic (PV) systems, elect... more A “smart house” is a highly energy‐optimized house equipped with photovoltaic (PV) systems, electric battery systems, fuel cell (FC) cogeneration systems, electric vehicles (EVs), and so on. Smart houses are attracting much attention recently because of their enhanced ability to save energy by making full use of renewable energy and by achieving power grid stability despite an increased power draw for installed PV systems. Yet running a smart house's power system, with its multiple power sources and power storages, is no simple task. In this paper, we consider the problem of power scheduling for a smart house with a PV system, an FC cogeneration system, and an EV. We formulate the problem as a mixed‐integer programming problem, and then extend it to a stochastic programming problem involving recourse costs to cope with uncertain electricity demand, heat demand, and PV power generation. Using our method, we seek to achieve the optimal power schedule running at the minimum expected operation cost. We present some results of numerical experiments with data on real‐life demands and PV power generation to show the effectiveness of our method. © 2013 Wiley Periodicals, Inc. Electr Eng Jpn, 186(4): 48–58, 2014; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/eej.22336

Energy, 2018

This paper presents a new framework for optimizing the operation of Industrial MicroGrids (IMG). ... more This paper presents a new framework for optimizing the operation of Industrial MicroGrids (IMG). The proposed framework consists of three levels. At the first level, a Profit Based Security Constrained Unit Commitment (PB-SCUC) is solved in order to minimize the total expected cost of IMG via maximizing the IMG revenue by transacting in the day-ahead power market and optimizing the scheduling of the units. In this paper, the tendency of IMG for participating in the day-ahead power market is modelled as a quadric function. At the second level, a Security Constrained Unit Commitment is solved at the upper grid for minimizing the upper grid operation and guaranteeing its security. At this level, the accepted IMG bids in the day-ahead power market would be determined. Finally, at the third level, the IMG operator must settle its units on the basis of its accepted bids. Therefore, a rescheduling problem is solved in the third level. Notably, Renewable Energy Sources (RESs), Combined Heat and Power (CHP) units, thermal and electrical storage systems are considered in the IMG. As the RESs and dayahead market price have stochastic behaviours, their uncertainty is taken into account by implementing stochastic programming. Further, different cases for grid-connected and island modes of IMG are discussed, and the advantages of utilizing RES and storage systems are given. The simulation results are provided based on the IEEE 18-bus test system for IMG and IEEE 30bus test system for the upper grid.

2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2020

This paper proposes a fast-accurate method to locate the sun through dual-axis sun tracker rapidl... more This paper proposes a fast-accurate method to locate the sun through dual-axis sun tracker rapidly and accurately. The tracking time is reduced to decrease the power consumption and improve the dynamic performance. The controlling procedure is closed-loop combination of Multi-Layer Perceptron (MLP) neural network and Perturbation & Observation (P&O). If the sun deviates from solar panels significantly, the sun tracker will operate quickly, but inaccurately by using the neural network. But if the sun gets away slightly, the sun tracker will operate accurately, but slowly by using P&O. So, by combining these two given cases will cause to track the sun fast and accurately. The error back propagation training algorithm is firstly used to train the neural network and in the next step the Modified Particular Swarm Optimization (MPSO) method used to optimize the neural network. The results indicate that the tracking time of proposed method is 42%-49% less than other which is used for comparison. So, the sun tracker has better dynamic performance, lower power consumption and increased efficiency.

2018 North American Power Symposium (NAPS), 2018

2019 IEEE Milan PowerTech, 2019

An increasing implementation of renewable sources and electric vehicles can be of help in reducin... more An increasing implementation of renewable sources and electric vehicles can be of help in reducing the total operational cost of a power system, affecting power system technical operation. To this end, a multi-objective optimisation method using Normalised Normal Constraint (NNC) is applied in this paper by which two competitive objectives are considered: Minimisation of Active Distribution System (ADS) operational cost and minimisation of ADS power losses. Meanwhile, the uncertain behaviour of wind, photovoltaic units, and arrival and departure time of electric vehicles are considered. The proposed model is a multi-objective problem which comprises two stochastic stages and is simulated under GAMS environment on a modified IEEE 18-bus test system. The results clearly represent the trade-off between economic and technical benefits of the considered ADS. Furthermore, the effect of electric vehicles charging and discharging tariffs on the operational cost of the system are shown.

Energy Engineering Management, 2019

چ ک ی هد : یشوماخ متسیس تینما یارب دیدهت یلصا لماوع زا هراومه اه تسه تردق یاه دن . جورخ یپ یاه یل... more چ ک ی هد : یشوماخ متسیس تینما یارب دیدهت یلصا لماوع زا هراومه اه تسه تردق یاه دن . جورخ یپ یاه یلصا زا یپرد یشوماخ لماوع نیرت اه یم هتخانش دنوش . مهم زا لاقتنا طوطخ ۀکبش تازیهجت نیرت نآ جورخ هک دنتسه تردق اه یم هب رجنم دناوت جورخ یپ یاه یپرد یدعب وـش د . رد هلاقم نیا ، میمصت تخرد زا هدافتسا اب شور زا هک یریگ تسا یعونصم شوه یاه ، یاسانش هب ی نارحب طوطخ نیلانآ ی ا هب رجنم هک هکبش ی داـج جورخ یپ یاه یپرد یم یم هتخادرپ ،دنوش دوش . شزومآ میمصت تخرد هدید ۀطقن ره رد تسا رداق راک ، وبن ای ندوب هدننکش د نیـمخت ار هکبش ن هرهب و دنزب رادرب دهاوخ تسناوت هرهب طیارش نآ قبط رب دهد رییغت ار یرادرب . صخاش یفرعم اب لوا ماگ رد روظنم نیدب ساسا رب و بسانم یاه یشوماخ یاه داجیا شیارآ یمامت رد هدش شیارآ نینچمه و فلتخم دیلوت و راب یاه فلتخم یاه یدورو ،هکبش یـیورخ و اـه یارـب مزز یاـه خرد ت یم دیلوت میمصت نوش د . هب جیاتن زا ،دعب ماگ رد تسد میمـصت تـخرد شزوـمآ زا هدافتسا اب لوا ماگ رد هدمآ روـولا ،یرـیگ ی مت یارـب ی ییاسانش نارحب طوطخ نیلانآ ی گدننکش و ی ارب هکبش ی ا ی یم داهنشیپ یشوماخ داج دوش . ۀکبش رد یدا...

Iranian Journal of Energy, 2012

متسيس رپ زا يكي كيياتلووتف ياه فرصم يدربراـك و نيرت يژرـنا زا هدافتـسا دراوـم نيرـت يم بوسحم ديشر... more متسيس رپ زا يكي كيياتلووتف ياه فرصم يدربراـك و نيرت يژرـنا زا هدافتـسا دراوـم نيرـت يم بوسحم ديشروخ دندرگ . متسيس هنوگنيا ياهدربراك زا يكي تساهنآ يگناخ دربراك اه . هجوت اب لاس رد كاپ يژرنا نيا يايازم هب ريخا ياه ، متسـيس ثادحا تشـپ رـب كـيياتلووتف ياـه و ماـب لابقتسا زا فلتخم ياهروشك رد لزانم يناوريش تسا هدش رادروخرب يبوخ . يـفرط زا ، شرتسـگ تـسا هدـش اـه دـلوم لـيبق نيا ثادحا يارب يفاك ياضف شهاك ثعاب يرهش يگدنز . نـيا رد طيارش ، شيـپ زا شيـب دودـحم يياضـف رد ينوكسم ياهدحاو يارب مزلا يژرنا لاصحتسا موزل يم ساسحا ددرگ . هلاقم نيا رد ، لنپ هنيهب نامديچ و داعبا يحارط نمض ه يديـشروخ يا ) لماـش لنپ ضرع و لوط ،فيدر دادعت هلصاف ،اه لنپ نيب هنيهب بيش و اه لنپ قـفا هـب تبسن اه ( يارـب نـيا نيمأـت يارـب مزلا تحاسم نيرتمك ،صخشم ِزاين دروم يژرنا نازيم اب ينوكسم دحاو كي ب يژرنا ه تسا هدمآ تسد . لنپ لباقتم هياس رثا قم نيا رد زين رگيدكي يور رب اه هتفرگ رظن رد هلا تـسا هدـش . كـينكت ،هلأسـم نـيا دوـيق و فدـه عباـت يـطخريغ تـيهام هـب هـجوت اـب ياـه هنيهب يم دنمشوه يزاس دنـشاب هلئسـم نيا هب وگخساپ ييل...

Iranian Journal of Energy, 2013

International Journal of Electrical Power & Energy Systems, 2020

This paper proposes a comprehensive framework for generation and transmission planning of renewab... more This paper proposes a comprehensive framework for generation and transmission planning of renewable dominated power systems, which is formulated as a stochastic multiobjective problem. In this regard, a Normalized Normal Constraint (NNC) solution approach is proposed to solve the introduced stochastic multiobjective generation and transmission planning (GTP) problem. The NNC is utilized in this paper as a relation between different objective functions with different dimensions to find the optimal weighting factors of these objectives. The NNC is applied for solving the GTP problem with objective functions including the investment and operation costs along with the transmission losses, while considering the cost of unserved energy, as well as the uncertainty of load and Renewable Energy Resources (RERs). A fuzzy-based decision making framework is utilized to select the best solution among the optimal non-dominated solution points. A scenario-based approach is used to model the uncertainties. The Garver 6-bus and IEEE 118-bus test systems are utilized to perform the numerical analysis. The simulation results validate the performance and importance of the proposed model, as well as the effectiveness of the NNC to find the evenly distributed Pareto solutions of the multiobjective problems.

IET Generation, Transmission & Distribution, 2020

This study proposes an integrated framework for coordinated optimisation of the interdependent mi... more This study proposes an integrated framework for coordinated optimisation of the interdependent microgrid (MG) and electric vehicle (EV) fleet entities using the normalised normal constraint approach. By considering the active/reactive power management option of the bidirectional charger enabled EVs in the proposed model, the authors investigate the effectiveness of EV's integration in the presence of the techno-economical objective functions. This work concentrates on the trade-off analysis of two conflicting objectives, including the economic objective of the MG's operation cost minimisation and the technical objective of the MG's voltage deviation. Besides, they consider several uncertainty sources, e.g. wind, EV and solar panel (PV) power provision, as well as market price fluctuations in the proposed model affecting the aforementioned techno-economic trade-off solution. The proposed model is a stochastic multi-objective mixed-integer non-linear programming problem where the authors apply the designed integrated framework on a modified IEEE 18-bus test case in GAMS software. Through numerical results, they demonstrate MG optimal operation changes due to different MGO priorities and study the positive effects of EVs integrated energy management on the bi-objective operation.

Electric Power Systems Research, 2020

Cascading failure is the main mechanism for progressing large blackouts in power systems. Followi... more Cascading failure is the main mechanism for progressing large blackouts in power systems. Following an initial event, it is challenging to predict whether there is a potential for starting cascading failure. In fact, the potential of an event for starting a cascading failure depends on many factors such as network structure, system operating point and nature of the event. In this paper, based on the application of decision tree, a new approach is proposed for identifying harmful line outages with the potential of starting and propagating cascading failures. For this purpose, associated with each trajectory of the cascading failure, a blackout index is defined that determines the potential of the initial event for triggering cascading failures towards power system blackout. In order to estimate the blackout indices associated with a line outage, a three stages harmful estimator decision tree (HEDT) is proposed. The proposed HEDT works based on the online operating data provided by a wide area monitoring system (WAMS). The New England 39-bus test system is utilized to show the worthiness of the proposed algorithm.

Electric Power Systems Research, 2019

Because of power electronic advancements, nowadays Plug-in Electric Vehicles (PEVs) are capable t... more Because of power electronic advancements, nowadays Plug-in Electric Vehicles (PEVs) are capable to charge/ discharge(absorb/inject) active(reactive) power. The storage capacity and the capability of bidirectional flowing active and reactive powers, lead PEVs to be contemplated as a viable option for energy arbitrage. By high penetration of PEVs, decentralized energy management of them, especially at peak hours causes serious problems to the network operation and service quality. Therefore, it is important PEVs to be controlled as integrated with microgrid (MG). Besides, PEVs uncertain behavior along with the prevalent uncertainties inherent to renewable resources and various pricing mechanism in electricity industry leaves the MG operators (MGOs) a challenging decision making. So, it is vital to be applied an efficient strategy in order to deal with this challenges. This paper proposes a centralized framework to co-optimize robust/stochastic optimization of MG with the PEVs energy arbitrage in both active and reactive powers exchange. The problem is a mix-integer non-linear programming (MINLP) problem, which is solved by GAMS software. The results of suggested model are investigated on IEEE 18-bus and IEEE 33-bus test systems.

SIMULATION, 2019

Regarding the significant potential of solar energy in Iran, implementation of optimally designed... more Regarding the significant potential of solar energy in Iran, implementation of optimally designed photovoltaic (PV) systems can be effective. Hence, this study proposes two objective functions: first, the maximum possible output energy for a given area and, second, the minimum area receiving a given yearly energy from PV fixed collectors in a solar field, both of which are calculated. In addition, the shading and masking effects are considered in the calculations. A modified particle swarm optimization (MPSO) algorithm is used to solve the optimization problem. The case study of this article is a shopping center in Isfahan-Iran (latitude 32.5°N) with the minimum yearly energy demand of 171 MWh and the 5000 m2 roof area. To evaluate the yearly energy, the calculated hourly radiation approach is applied to the case study. The results show that the maximum possible generated energy is 881 MWh/year for the given area. In addition, to provide the minimum demand, 720 m2 area of roof is ne...

International Transactions on Electrical Energy Systems, 2018

In this paper, the central principles of reliability-centered maintenance (RCM) and corresponding... more In this paper, the central principles of reliability-centered maintenance (RCM) and corresponding mathematical concepts for its implementation in microgrids are discussed. A systematic framework is suggested that exploits the fundamen