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A Bidding Methodology by Nash Equilibrium for Finite Generators Participating in Imperfect Electricity Markets

机译:纳什均衡竞价方法用于有限发电商参与不完善电力市场

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This paper presents an application of finite n-person non-cooperative game theory for analyzing bidding strategies of generators in a deregulated energy marketplace with Pool Bilateral contracts so as to maximize their net profits. A new methodology to build bidding methodology for generators participating in oligopoly electricity market has been proposed in this paper. It is assumed that each generator bids a supply function. This methodology finds out the coefficients in the supply function of generators in order to maximize benefits in an environment of competing rival bidders. A natural choice for developing strategies is Nash Equilibrium (NE) model incorporating mixed strategies, for solving the bidding problem of electrical market. Associated optimal profits are evaluated for a combination of set of pure strategies of bidding of generators, and payoff matrix has been constructed. The optimal payoff is calculated by using Nash Equilibrium. An attempt has also been made to minimize the gap between the optimal payoff and the payoff obtained by a possible mixed strategies combination. The algorithm is coded in MATLAB. A numerical example is used to illustrate the essential features of the approach and the results are proved to be the optimal values.
机译:本文介绍了有限n人非合作博弈理论在分析具有放松管制的双边市场中具有联营合同的发电商的投标策略中的应用,以最大程度地提高其净利润。本文提出了一种新的方法来建立参与寡头垄断电力市场的发电商的投标方法。假定每个生成器投标一个供给函数。这种方法找出了发电机供应函数中的系数,以便在竞争性竞标者的环境中最大化收益。制定策略的自然选择是结合混合策略的纳什均衡(NE)模型,用于解决电力市场的竞标问题。针对发电机出价的一组纯策略组合对相关的最优利润进行评估,并构建了收益矩阵。最佳收益是通过使用纳什均衡来计算的。还尝试最小化最佳收益与通过可能的混合策略组合获得的收益之间的差距。该算法在MATLAB中编码。数值例子说明了该方法的基本特征,结果被证明是最佳值。

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