Gravitational search assisted algorithm for TCSC placement for congestion control in deregulated power system

作     者：Sharma, Akanksha Jain, Sanjay K. 

作者机构：Thapar Inst Engn & Technol Patiala Punjab India 

出 版 物：《ELECTRIC POWER SYSTEMS RESEARCH》 (电力系统研究)

年 卷 期：2019年第174卷

页      面：105874-000页

核心收录：

学科分类：0808[工学-电气工程] 080802[工学-电力系统及其自动化] 08[工学] 

基　　金：Department of Science and Technology (DST) under Innovation in Science Pursuit for Inspired Research (INSPIRE) Fellowship 

主　　题：Available transfer capability Congestion management Optimal power flow Gravitational search algorithm Locational marginal price 

摘      要：The congestion is a vital concern for the independent system operator in the deregulated energy market because it entails additional cost and poses a threat to power system security. To relieve congestion, this paper presents optimal power flow (OPF) and available transfer capability (ATC) based methods for allocating thyristor controlled series compensator (TCSC) using the congestion rent contribution approach based on location marginal price. The dc power transfer distribution factors are utilized to compute ATC in bilateral transactions environment. The gravitational search assisted algorithm is employed to manage congestion in a pool electricity market. Its performance is compared with OPF based on other heuristics. The congestion management is investigated for normal and contingency due to line outage and abrupt load variation. The efficacy of both the methods is investigated on IEEE 30-bus and IEEE 57-bus test systems.