Minimizing Generation Cost and Neutralizing Market Power of GENCOs by Optimally locating Transformer Tap Ratio in Power Market

R. Panda
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Abstract

The paper presents a strategy to access market power of generation companies (GENCOs) by cross entropy (CE) under different transformer tap ratio (TTR) in a competitive power market. Cross entropy is determined using locational marginal price (LMP) as a variable parameter. The objective of the paper is to determine an optimal location for TTR to minimize the overall generation cost of the system in a competitive power market. The relative entropy is also determined to determine the extra bits of probability distribution differs from the target probability distribution. The proposed methodology is a non-linear programming (NLP) which is solved by Matpower Interior Programming Solver (MIPS). In order to show the effectiveness, possible 36 scenarios are obtained for 6 GENCOs for accessing market power. IEEE 30 bus system is used to show the effectiveness of the proposed methodology.
电力市场中变压器分接比的优化配置与发电成本的最小化与发电企业市场力的中和
本文提出了在竞争激烈的电力市场中,在不同变压器分接比下,利用交叉熵获取发电企业市场支配力的策略。交叉熵以区位边际价格(LMP)为变量确定。本文的目标是在竞争激烈的电力市场中确定TTR的最佳位置,以使系统的总发电成本最小化。还确定了相对熵,以确定概率分布中与目标概率分布不同的额外位。所提出的方法是一种非线性规划(NLP),由Matpower内部规划求解器(MIPS)求解。为了证明该方法的有效性,给出了6家genco获取市场支配力的36种可能情景。采用IEEE 30总线系统验证了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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