Profit maximization with integration of wind farm in contingency constraint deregulated power market using Moth Flame Optimization algorithm

摘要

Contingency is one of the most important issues in deregulated electricity market. Generator rescheduling or integration of FACTS devices are the most common techniques for mitigating the contingencies in modern power system. Recently major concern is given for renewable energy generation system. In this paper, renewable energy like wind farm (WF) generation is used for maximizing the profit as well as mitigating the contingency by minimizing the fuel cost and system losses. Line outage contingency index (LOCI) is used for finding the most critical line in the system. Contingency Constraint Optimal Power Flow (CCOPF) with the help of Moth Flame Optimization (MFO) algorithm is used to solve the problem. The proposed method has been tested on modified IEEE 30 bus system to analysis the effect wind farm in system. The obtained result shows that wind farm generation is very useful for minimizing the value of LOCI and maximizing the profit in deregulated electricity market.