论文标题
耦合电力市场的迭代机制
An Iterative Mechanism for Coupling Electricity Markets
论文作者
论文摘要
相互连接但本地控制的电力市场的协调操作通常称为“耦合”。在本文中,我们提出了一种新的机制设计,以有效地耦合独立的电力市场。该机制在每个单独的市场都定居(例如小时数)之后运行,并基于报告的内部市场优化(清算)的供求功能,要求每个市场运营商遍及与其他市场的传输线路,要求迭代地报价能源贸易条款(代表参与其市场的代理商)。该机制是可扩展的,因为在每个迭代中对每个市场运营商的信息需求受到限制。我们表明,鉴于每个单个市场清算的供应功能,该机制的结果趋于市场之间的最佳流量。我们表明,拟议的市场耦合设计不会改变每个内部市场中激励措施的结构,即,在实施耦合后,任何内部市场平衡都将保持如此(大约)。这是通过激励转移(每次迭代更新)来实现的,该转移以其边际贡献(即节省成本)向所有其他参与市场偿还。我们确定每个市场运营商的统一参与费的足够条件,以确保机制不会造成赤字。所提出的分散机制在三个区域IEEE可靠性测试系统上实现,其中仿真结果展示了所提出的模型的效率。
The coordinated operation of interconnected but locally controlled electricity markets is generally referred to as a "coupling". In this paper we propose a new mechanism design for efficient coupling of independent electricity markets. The mechanism operates after each individual market has settled (e.g. hour-ahead) and based upon the reported supply and demand functions for internal market optimization (clearing), each market operator is asked to iteratively quote the terms of energy trade (on behalf of the agents participating in its market) across the transmission lines connecting to other markets. The mechanism is scalable as the informational demands placed on each market operator at each iteration are limited. We show that the mechanism's outcome converges to the optimal flows between markets given the reported supply and demand functions from each individual market clearing. We show the proposed market coupling design does not alter the structure of incentives in each internal market, i.e., any internal market equilibrium will remain so (approximately) after coupling is implemented. This is achieved via incentive transfers (updated at each iteration) that remunerate each market with its marginal contribution (i.e. cost savings) to all other participating markets. We identify a sufficient condition on a uniform participation fee for each market operator ensuring the mechanism incurs no deficit. The proposed decentralized mechanism is implemented on the three-area IEEE Reliability Test System where the simulation results showcase the efficiency of proposed model.