Design of the incentive mechanism in electricity auction market based on the signaling game theory

Design of the incentive mechanism in electricity auction market based on the signaling game theory
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基于信号博弈论的电力拍卖市场激励机制设计

DOI:
10.1016/j.energy.2009.12.036
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发表时间:
2010-04
期刊:
影响因子:
9
通讯作者:
--
中科院分区:
工程技术1区
文献类型:
--
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设计合理的竞价机制,降低发电商的市场力,是当前深化电力市场改革的重要途径之一。基于信号博弈理论,分析了电力拍卖市场中的主要竞价机制,认为信息扰动程度是评价竞价机制优劣的重要因素。在上述研究的基础上,提出了一种激励性的发电商半随机匹配竞价机制。为了验证新的竞价机制,本文利用Swarm平台开发了一个基于多Agent的仿真模型。在仿真模型中,发电商和购电商采用部分上级学习策略调整各自的电价和电量。然后,本文研究了GSM竞价机制的仿真实验,并将其与高低匹配(HLM)竞价机制的仿真进行了比较。根据仿真结果,将GSM竞价机制与HLM均衡状态进行比较,可以得出几个结论:清算价格降低,总交易量增加,发电商利润降低,购电者整体收益增加。索引词信号博弈;半随机匹配;高低匹配。
At present, designing a proper bidding mechanism to decrease the generators' market power is considered to be one of the key approaches to deepen the reform of the electricity market. Based on the signaling game theory, the paper analyzes the main electricity bidding mechanisms in the electricity auction markets and considers the degree of information disturbance as an important factor for evaluating bidding mechanisms. Under the above studies, an incentive electricity bidding mechanism defined as the Generator Semi-randomized Matching (GSM) mechanism is proposed. In order to verify the new bidding mechanism, this paper uses the Swarm platform to develop a simulation model based on the multi-agents. In the simulation model, the generators and purchasers use the partly superior study strategy to adjust their price and their electricity quantity. Then, the paper examines a simulation experiment of the GSM bidding mechanism and compares it to a simulation of the High-Low Matching (HLM) bidding mechanism. According to the simulation results, several conclusions can be drawn when comparing the proposed GSM bidding mechanism to the equilibrium state of HLM: the clearing price decreases, the total transaction volume increases, the profits of electricity generators decreases, and the overall benefits of purchasers increases. Index Terms—signaling game; semi-randomized matching; high-low match.
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