Performance Study of the System with optimal location of SVC device using AHP method under different operating conditions (original) (raw)
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Differential Evolutionary Algorithm for Allocation of SVC in a Power System
iotpe.com
This paper investigates the ability of different strategies of Differential Evolutionary (DE) Algorithm in dealing with optimal placement of Static VAR Compensator (SVC) in a power system. The primary function of an SVC is to improve transmission system voltage, thereby enhancing the maximum power transfer limit. To enhance voltage stability, the planning problem is formulated as a multi-objective optimization problem for maximizing fuzzy performance indices. Two different scenarios are used when DE is applied. The performances of DE with two different scenarios and different strategies are compared in terms of their success rate. To validate the results, Real Genetic Algorithm (RGA) is applied and compared with DE.
Optimum placement of SVC in electrical power distribution systems using Genetic Algorithm
2014
Placement of static voltage compensators and bus compensators in order to enhance the voltage is a common and fundamental issue in the power field. Nowadays, electrical systems are one of the most advanced man-made systems in terms of size, technology and price. Therefore, economical usage and optimization are very important. Developing facilities and increasing network load lead to fragile systems such that there have been some obstacles in the field of power stability due to voltage instability worldwide. One fundamental component of static voltage compensators is bus capacitor which plays an important role in static voltage instability. System loss and voltage profile are very important in optimal resource design. Therefore, placement of the mentioned parts plays an important role in enhancing the voltage stability. In this article, genetic algorithm is used to enhance voltage. Stimulation results have shown that genetic algorithm is very useful.
Optimal placement of SVC in electrical power dis- tribution systems using Genetic Algorithm
2014
Placement of static voltage compensators and bus compensators in order to enhance the voltage is a common and fundamental issue in the power field. Nowadays, electrical systems are one of the most advanced man-made systems in terms of size, technology and price. There- fore, economical usage and optimization are very important. Developing facilities and increasing network load lead to fragile systems such that there have been some obstacles in the field of power stability due to voltage instability worldwide. One fundamental component of static voltage compensators is bus capacitor which plays an important role in static voltage instability. System loss and voltage profile are very important in optim- al resource design. Therefore, placement of the mentioned parts plays an important role in enhancing the voltage stability. In this article, genetic al- gorithm is used to enhance voltage. Stimulation results have shown that genetic algorithm is very useful.
Optimal Location of SVC Using Benefit Factors to Improve the Voltage Profile in Power Systems
2015
Flexible AC transmission system (FACTS) devices in power systems play a vital role in power system performance, such as improving system stability, increasing system loading capability and reducing losses. To maximize their benefits, these devices must be located optimally. In this paper, optimal location of SVC is obtained by use of voltage and loss benefit factors. These are evaluated and weighted by analytical hierarchy process (AHP). System performance in terms of voltage, real power losses and cost of generation is investigated with SVC incorporation. Time taken to recover capital cost of SVC is also evaluated at the end. The proposed method is tested on the WSCC 9-bus test system, and results obtained show an improved voltage profile.
Optimal SVC placement in electric power systems using a genetic algorithms based method
2009
The problem of improving the voltage profile and reducing power losses in electrical networks is a task that must be solved in an optimal manner. At present time, this optimality can be achieved by efficient usage of existing facilities alongside with installing FACTS devices. The static VAr compensator (SVC) was chosen for study as its maturity and acceptable costs make it more usable in practical applications than other FACTS devices This paper proposes a genetic algorithm that tries to identify the optimal location and size of an SVC. A multi-criteria function is developed, comprising of both operational objectives and investment costs. The computer program is run on a 13 nodes test system, assessing improvements in voltage profile and reducing power losses. The purpose of this study is to validate the solution method in order for it to be adapted for systems of higher dimensionality.
International Journal of Applied Power Engineering (IJAPE), 2024
In many power systems, voltage instability can increase the risk of voltage collapse and, as a result, turn the power system toward a blackout. Therefore, increasing the voltage collapse point is required. A transmission line outage is an emergency condition in power systems that can lead to voltage instability and voltage collapse. Thus, it is expected to employ shunt-connected flexible AC transmission systems (FACTS) such as the static var compensator (SVC) to increase the voltage collapse point when lines outage. This paper presents the genetic algorithm (GA) application to optimal placement and sizing of an SVC for increasing voltage collapse points following lines outage. The continuation power flow (CPF) technique has been used to determine the maximum loading point (MLP) corresponding to the point of voltage collapse. Also, to reduce the number of scenarios when line outages occur, a list in ascending order is established based on the line outage priority (LOP). The IEEE 14-bus test system is chosen to carry out simulations, and an SVC will be installed in the system based on the GA results. Simulation results confirm the effectiveness of an SVC for improving voltage stability as well as increasing voltage profile.
PLACEMENT OF ACTIVE POWER LINE CONDITIONER IN DISTRIBUTION SYSTEM USING DIFFERENTIAL EVOLUTION
Active Power Line Conditioners (APLCs) are considered the most efficient device for mitigation of power system harmonics. In this paper, a problem of allocation and sizing of multiple active power-line conditioners (APLCs) in distorted power distribution systems is handled with novel formulation. The utilized objective function comprises two main factors such as reduction of total harmonic distortion and the total cost of APLCs. The formulated problem is solved by four different optimization techniques GA, PSO, Hybrid GA-PSO and DE. To evaluate the competence of the proposed formulation, the IEEE 18-bus and 69 bus distorted distribution test systems are employed and investigated with various number of APLCs placement. These cases are based on the discrete and limited size for APLCs, requiring the optimization method to solve the constrained and discrete nonlinear problems. Therefore, all the evolutionary algorithms used utilize an integer optimizer. Simulation results confirmed the capability and effectiveness of the proposed formulation and DE algorithm works well in the allocation and sizing of multiple APLCs in a test power system compared with other heuristic algorithms.
Effect of SVC installation on loss and voltage in power system congestion management
Indonesian Journal of Electrical Engineering and Computer Science, 2019
In this paper, a new hybrid optimization technique is proposed namely Adaptive Embedded Clonal Evolutionary Programming (AECEP). This idea comes from the combination part of the clone in an Artificial Immune System (AIS) and then combined with Evolutionary Programming (EP). This technique was implemented to determine the optimal sizing of Flexible AC Transmission Systems (FACTS) devices. This study focused on the ability of Static Var Compensator (SVC) is used for the optimal operation of the power system as well as in reducing congestion in power system. In order to determine the location of SVC, the previous study has been done using pre-developed voltage stability index, Fast Voltage Stability Index (FVSI). Congested lines or buses will be identified based on the highest FVSI value for the purpose of SVC placement. The optimizations were conducted for the SVC sizing under single contingency, where SVC was modeled in steady state analysis. The objective function of this study is t...
Voltage stability is an important issue in the planning and operation of deregulated power systems. The voltage stability problems is a most challenging one for the system operators in deregulated power systems because of the intense use of transmission line capabilities and poor regulation in market environment. This article addresses the congestion management problem avoiding offline transmission capacity limits related to voltage stability by considering Voltage Security Constrained Optimal Power Flow (VSCOPF) problem in deregulated environment. This article presents the application of Multi Objective Differential Evolution (MODE) algorithm to solve the VSCOPF problem in new competitive power systems. The maximum of L-index of the load buses is taken as the indicator of voltage stability and is incorporated in the Optimal Power Flow (OPF) problem. The proposed method in hybrid power market which also gives solutions to voltage stability problems by considering the generation rescheduling cost and load shedding cost which relieves the congestion problem in deregulated environment. The buses for load shedding are selected based on the minimum eigen value of Jacobian with respect to the load shed. In the proposed approach, real power settings of generators in base case and contingency cases, generator bus voltage magnitudes, real and reactive power demands of selected load buses using sensitivity analysis are taken as the control variables and are represented as the combination of floating point numbers and integers. DE/randSF/1/bin strategy scheme of differential evolution with self-tuned parameter which employs binomial crossover and difference vector based mutation is used for the VSCOPF problem. A fuzzy based mechanism is employed to get the best compromise solution from the pareto front to aid the decision maker. The proposed VSCOPF planning model is implemented on IEEE 30-bus system, IEEE 57 bus practical system and IEEE 118 bus system. The pareto optimal front obtained from MODE is compared with reference pareto front and the best compromise solution for all the cases are obtained from fuzzy decision making strategy. The performance measures of proposed MODE in two test systems are calculated using suitable performance metrices. The simulation results show that the proposed approach provides considerable improvement in the congestion management by generation rescheduling and load shedding while enhancing the voltage stability in deregulated power system.
Energies
In this research, an alternative methodology is proposed for the location of Static VAR Compensators (SVC) in power systems, considering the reconfiguration of reactive power flows through the optimal switching of the transmission stage, which resembles the contingency restriction N-1 usually considered in transmission expansion planning. Based on this methodology, the contingency index was determined, which made it possible to determine which is the contingency that generates the greatest voltage degradation in the system. For the quantification of reactive flows, optimal AC power flows were used, which minimize the operating costs of the power system subject to transmission line switching restrictions, line charge-ability, voltages and node angles. To determine the node in which the compensation should be placed, the contingency index criterion was used, verifying the voltage profile in the nodes. The proposed methodology was tested in the IEEE test systems of 9, 14 nodes and larg...