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中文摘要：
从博弈论中信号传递角度出发，分析了几种主要的电力市场竞价机制后认为，信息干扰程度是判断电力市场竞价机制优劣的重要因素之一。基于上述思想，提出一种购电商准随机匹配竞价机制。然后采用Swarm仿真平台构建了基于多主体的准随机匹配竞价机制仿真模型。在仿真模型中，采用部分最优学习策略，允许发电商和购电商进行价格和产量调整。最后给出了一个仿真实例，为了便于比较分析，分别对高低匹配竞价机制和购电商准随机匹配竞价机制进行了仿真实验。仿真结果表明，在实施购电商准随机匹配竞价机制的电力市场中，发电商实施市场力的范围下降；博弈均衡后市场成交价下降，总成交量上升，发电商与购电商的利润差额减小。
英文摘要：
The paper analyses several main kinds of bidding mechanism for electricity market from the signal gambling in game theory aspects, considering that the most important factor to judge the superiority and inferiority of bidding mechanism for electricity market is the degree of information disturbance. On the basis of the mentioned idea, this paper proposes one kind of bidding mechanism for electricity market using randomized matching. Then we used the Swarm simulation platform to construct a simulation model of randomized matching bidding mechanism based on the multi-agent. In the simulation model, we use the most superior study strategy partly, permitting the electricity generation seller and purchaser to adjust their price and output. Finally we give a simulation example, for the convenient of comparative analysis, carrying on the simulation experiment to the high-low matching bidding mechanism and the electricity generation＇ s randomized matching bidding mechanism separately. Through the simulation confirmation, in the electricity market of implementing the electricity generation＇ s randomized matching bidding mechanism, the scope of the market power in electricity generation reduced. When the game theory comes to equilibrium, the deal price falls; the total trading quantity rises, and the profit gap between electricity generation seller and purchaser reduces.
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