Congestion management in deregulated power systems using generator rescheduling with particle swarm optimization

Abstract

The sizable progress of power demand has directed to viable electricity arcade in which the vertically integrated utilities are unbundled as Genco, Transco, and Disco. The structure of deregulated market is not same in all countries. But in most of the countries, the power production and retail sales are competitive, while transmission is still regulated. The most responsible entity in an exposed access power market is Self-governing System Operator (SO) whose liabilities include structure security, control delivery, transaction pricing, service quality and elevation of financial proficiency and equity. One of the most important disputes associated with modernized power market is congestion of Power ransmission lines. The usage of these lines through the power producers and the consumers closer or outside the assigned limits makes the line congested. Usually higher load demands lead to congestion of transmission network. To alleviate congestion an Ideal Power Flow method with generator rescheduling is embraced in this paper. Also, Particle Swarm Optimization (PSO) algorithm is adopted to resolve the ideal power flow and the outcomes are compared with Linear Programming Optimal Power Flow (LPOPF). Congestion is replicated using Power World Simulator and the suggested method is tried on IEEE 30 bus system.