Optimal congestion management in an electricity market using Modified Invasive Weed Optimization

This paper presents optimal congestion management in an electricity market using Modified Invasive Weed Optimization (MIWO). The IWO is a bio-inspired numerical technique which is inspired from weed colonization and motivated by a common phenomenon in agriculture that is colonization of invasive weeds. Transmission pricing and congestion management are the key elements of a competitive electricity market based on direct access. They also focus of much of the debate concerning alternative approaches to the market design and the implementation of a common carrier electricity system. This paper focuses on the tradeoffs between simplicity and economic efficiency in meeting the objectives of a transmission pricing and congestion management scheme. The effectiveness of the proposed technique is applied on 30 and 118 bus IEEE standard power system in comparison with CPSO, PSO-TVAC and PSO-TVIW. The numerical results demonstrate that the proposed technique is better and superior than other compared methods.