Optimal generation rescheduling based transmission congestion management with distributed facts

Abstract

quotBackground: Restructuring of the power industry has led to intensive use of the transmission system. This scenario results in a violation of line limits. The electric power that can be transmitted in the middle of buses through a transmission grid is bounded by the technical and economic limitations. Power flow cannot be permitted to build a level, where an irregular event may cause the network to collapse. Congestion is a situation, where the demand for transmission capacity exceeds the transmission grid capabilities, which might lead to a violation of network security limits. In open access, all the market players try to get the maximum benefit of cheaper sources and greater profit margin, which is one of the reasons for congestion in certain parts of the transmission network. This Congestion in the transmission system is not acceptable as it increases the energy price and threatens system reliability and security. It is required to have optimal generation scheduling with techno-economic constraints of the transmission network using appropriate devices. The Distributed Flexible AC Transmission (D-FACTS) technology can be utilized for power flow control. These D-FACTS devices are relatively smaller, flexible, and less expensive compared to traditional FACTS devices and therefore can be widely used. Congestion management problem cannot be solved with a unique approach but requires a combination of approaches to be integrated. newlineAim: In modern power system, there should be an appropriate solution to manage the power flow within a transmission network for effective utilization of the network without overloading the lines. In this work, the key aim is to propose a solution(s), which intends to solve the critical issue(s) of transmission congestion in the deregulated electricity market. An algorithm for optimal power flow, using particle swarm optimization (PSO), is presented and analyzed to relieve the congestion of the transmission lines. While rescheduling the power flows, it is suggested to manage the network para