Optimal Wheeling Transaction Based on Maximum Allowable Load of the Buyer Bus Using HPSO with Cauchy Mutation

摘要

This paper describes a novel method to estimate maximum allowable load at the buyer buses for the estimated value of Independent Power Producer (IPP) without violating thermal limit for the best possible wheeling transaction in competitive electricity market. The above problems are formulated as a non-linear optimization problem. The proposed methodology consists of employing a developed optimal power flow based on estimating maximum load in each bus. A New Hybrid Particle Swarm Optimization (HPSO) with cauchy mutation on the best particle has been proposed to solve this problem. In the context of electricity market, transmission pricing is an important tool to achieve an efficient operation of the system. Therefore, Optimal-wheeling price for the feasible transaction is also determined to enhance efficient operation of the system. This new concept is illustrated on IEEE 30-bus system and Indian 69 bus utility systems.