期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：3
期号：2
页码：271-276
出版社：International Journal of Soft Computing & Engineering
摘要：In the competitive electricity market, Generation companies and large consumers are participating in bidding methodologies for their own benefits. In oligopoly market structure, GENCOs tries to maximize their profit and minimize the risk factor. So it is very essential and important for the GENCOs to formulate optimal bidding strategies with risk terminology before entering into the electricity market to achieve a maximum profit , since the market clearing price (MRP) are variable in nature. In this paper an optimal bidding strategy associated with risk management is devised as a multi objective stochastic optimization problem and solved by Quantum inspired PSO. The impact of risk on the GENCOs is analyzed by introducing the factor λ. The proposed Quantum inspired PSO effectively maximize the GENCOs profit and benefit of large consumers. A numerical example with six suppliers and two large consumers is considered to illustrate the essential features of the proposed method and test results are tabulated. The simulation result shows that these approaches effectively maximize the Profit and Benefit of Power suppliers and Large Consumers, converge much faster and more reliable when compared with existing methods.
