Comparison of GSA and PSO-Based Optimization Techniques for the Optimal Placement of Series and Shunt FACTS Devices in a Power System

2017 ◽  
pp. 375-385
Author(s):  
Rajat Kumar Singh ◽  
Vikash Kumar Gupta
Keyword(s):  
Power System ◽  
Optimization Techniques ◽  
Optimal Placement ◽  
Facts Devices

scholarly journals Optimal Placement and Sizing of an Energy Storage System Using a Power Sensitivity Analysis in a Practical Stand-Alone Microgrid

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1598
Author(s):  
Dongmin Kim ◽  
Kipo Yoon ◽  
Soo Hyoung Lee ◽  
Jung-Wook Park
Keyword(s):  
Sensitivity Analysis ◽  
Energy Storage ◽  
Power System ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Optimization Techniques ◽  
Optimal Placement ◽  
Stable Operation ◽  
Analytical Approaches

The energy storage system (ESS) is developing into a very important element for the stable operation of power systems. An ESS is characterized by rapid control, free charging, and discharging. Because of these characteristics, it can efficiently respond to sudden events that affect the power system and can help to resolve congested lines caused by the excessive output of distributed generators (DGs) using renewable energy sources (RESs). In order to efficiently and economically install new ESSs in the power system, the following two factors must be considered: the optimal installation placements and the optimal sizes of ESSs. Many studies have explored the optimal installation placement and the sizing of ESSs by using analytical approaches, mathematical optimization techniques, and artificial intelligence. This paper presents an algorithm to determine the optimal installation placement and sizing of ESSs for a virtual multi-slack (VMS) operation based on a power sensitivity analysis in a stand-alone microgrid. Through the proposed algorithm, the optimal installation placement can be determined by a simple calculation based on a power sensitivity matrix, and the optimal sizing of the ESS for the determined placement can be obtained at the same time. The algorithm is verified through several case studies in a stand-alone microgrid based on practical power system data. The results of the proposed algorithm show that installing ESSs in the optimal placement could improve the voltage stability of the microgrid. The sizing of the newly installed ESS was also properly determined.

Congestion management in deregulated power system using hybrid cat-firefly algorithm with TCSC and SVC FACTS devices

2016 ◽  
Vol 35 (5) ◽  
pp. 1524-1537 ◽  
Author(s):  
Naraina Avudayappan ◽  
S.N. Deepa
Keyword(s):  
Power System ◽  
Congestion Management ◽  
Power Line ◽  
Transmission System ◽  
Optimal Placement ◽  
Content Type ◽  
Flexible Ac Transmission ◽  
Flexible Ac Transmission System ◽  
Facts Devices ◽  
Ac Transmission

Purpose The loading and power variations in the power system, especially for the peak hours have abundant concussion on the loading patterns of the open access transmission system. During such unconditional state of loading the transmission line parameters and the line voltages show a substandard profile, which depicts exaction of congestion management of the power line in such events. The purpose of this paper is to present an uncomplicated and economical model for congestion management using flexible AC transmission system (FACTS) devices. Design/methodology/approach The approach desires a two-step procedure, first by optimal placement of thyristor controlled series capacitor (TCSC) and static VAR compensator (SVC) as FACTS devices in the network; second tuning the control parameters to their optimized values. The optimal location and tuning of TCSC and SVC represents a hectic optimization problem, due to its multi-objective and constrained nature. Hence, a reassuring heuristic optimization algorithm inspired by behavior of cat and firefly is employed to find the optimal placement and tuning of TCSC and SVC. Findings The effectiveness of the proposed model is tested through simulation on standard IEEE 14-bus system. The proposed approach proves to be better than the earlier existing approaches in the literature. Research limitations/implications With the completed simulation and results, it is proved that the proposed scheme has reduced the congestion in line, thereby increasing the voltage stability along with improved loading capability for the congested lines. Practical implications The usefulness of the proposed scheme is justified with the computed results, giving convenience for implementation to any practical transmission network. Originality/value This paper fulfills an identified need to study exaction of congestion management of the power line.

scholarly journals OPTIMAL POWER FLOW WITH TCSC DEVICE USING CUCKOO OPTIMIZATION ALGORITHM

2018 ◽  
Vol 54 (3A) ◽  
pp. 52
Author(s):  
Duong Thanh Long
Keyword(s):  
Power System ◽  
Optimization Algorithm ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Power Transmission ◽  
Optimization Techniques ◽  
Operating Conditions ◽  
Cuckoo Optimization Algorithm ◽  
Facts Devices ◽  
Optimal Power

Optimal Power Flow (OPF) problem is an optimization tool through which secure and economic operating conditions of power system is obtained. In recent years, Flexible AC Transmission System (FACTS) devices, have led to the development of controllers that provide controllability and flexibility for power transmission. Series FACTS devices such as Thyristor controlled series compensators (TCSC), with its ability to directly control the power flow can be very effective to power system security. Thus, integration TCSC in the OPF is one of important current problems and is a suitable method for better utilization of the existing system. This paper is applied Cuckoo Optimization Algorithm (COA) for the solution of the OPF problem of power system equipped with TCSC. The proposed approach has been examined and tested on the IEEE 30-bus system. The results presented in this paper demonstrate the potential of COA algorithm and show its effectiveness for solving the OPF problem with TCSC devices over the other evolutionary optimization techniques.

scholarly journals Optimal placement of facts devices to reduce power system losses using evolutionary algorithm

2021 ◽  
Vol 21 (3) ◽  
pp. 1271
Author(s):  
Mahmood Khalid Zarkani ◽  
Ahmed Sahib Tukkee ◽  
Mohammed Jasim Alali
Keyword(s):  
Power System ◽  
Evolutionary Algorithm ◽  
Power Flow ◽  
Reactive Power ◽  
Research Work ◽  
Test System ◽  
Optimal Placement ◽  
Unified Power Flow Controller ◽  
Voltage Profile ◽  
Facts Devices

<p>The rapid and enormous growths of the power electronics industries have made the flexible AC transmission system (FACTS) devices efficient and viable for utility application to increase power system operation controllability as well as flexibility. This research work presents the application of an evolutionary algorithm namely differential evolution (DE) approach to optimize the location and size of three main types of FACTS devices in order to minimize the power system losses as well as improving the network voltage profile. The utilized system has been reactively loaded beginning from the base to 150% and the system performance is analyzed with and without FACTS devices in order to confirm its importance within the power system. Thyristor controlled series capacitor (TCSC), unified power flow controller (UPFC) and static var compensator (SVC) are used in this research work to monitor the active and reactive power of the carried out system. The adopted algorithm has been examined on IEEE 30-bus test system. The obtained research findings are given with appropriate discussion and considered as quite encouraging that will be valuable in electrical grid restructuring.</p>

Optimal Placement of Distributed Generation in Power System for Power System Loss Reduction Using ETAP

2019 ◽  
Vol 16 ◽  
pp. 7-19 ◽  
Author(s):  
Suliman Khan ◽  
Salim Ur Rehman ◽  
Anees Ur Rehman ◽  
Hashmat Khan
Keyword(s):  
Power System ◽  
Distributed Generation ◽  
Renewable Energy Sources ◽  
Load Flow ◽  
Electric Power System ◽  
Optimization Techniques ◽  
Optimal Placement ◽  
Loss Reduction ◽  
Power Losses ◽  
Power Loss Reduction

Because of increasing interest in renewable energy sources in recent times, the studies concerning integration of Distributed Generation (DG) to power grid have been increased rapidly. Apart from other benefits, loss reduction and voltage profile improvement are its salient features. Non-optimal locations of DG units may lead to increase power losses. Optimal location of DGs in power systems is vital to maximize overall system efficiency. In this approach, optimization techniques have been applied to determine the optimal allocation and impact of DG on electric power system in terms of power loss reduction are analyzed. The Newton Raphson load flow analysis has been carried out on 10 bus system using ETAP software which shows that active power losses were reduced from 3302.2 KW to 400.7 KW after the installation of 5MW.

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