Optimal Rescheduling of Real and Reactive Power for Congestion Management under Competitive Environment

R.Ramachandran, M.Arun

black hole algorithm, deregulated power system, generator power rescheduling, real and reactive power sensitivity, Bilateral / Multilateral transactions.

In the competitive power market, congestion in the transmission line has grown as a serious problem which threats the power system security and reliability. Congested condition leads to the increased congestion cost and it is not wise to allow the situation to persist. In this work, real and reactive power rescheduling based congestion management is proposed to relieve the transmission congestion. For optimal rescheduling of the real and reactive power, the recently introduced nature black hole algorithm (BHA) is implemented. The objective of the present work is to minimize the total transmission congestion cost while adjusting the generation pattern to relieve congestion. The work uses the generator sensitivity indices for identifying the more influencing generators. The validation of the suggested method has been studied on modified IEEE 57 bus test system with two congestion cases of bilateral and multilateral transactions and the obtained numerical results are compared with other metaheuristic algorithms like particle swarm optimization (PSO) and big bang big crunch (BB-BC) algorithm.

10.22161/ijaers/310.26