论文标题
电力市场多区域日期清算过程的分布式优化方法
A Distributed Optimization Approach to the Multi-Regional Day-Ahead Clearing Process in Electricity Markets
论文作者
论文摘要
基于多种解决过程中的位置边际定价的电力市场实施允许批发竞争，定价机制激励了发电，传输和需求响应资源的最佳分配。尽管在美国在区域层面已经实现了效率和可靠性提高，但缺乏足够的区域间协调机制的较大收益有限。随着行业向更高的可再生资源渗透而过渡，电力市场跨境协调的缺点变得更加明显，这些资源往往集中在该国某些地区，通常远离负载口袋。除了允许市场参与者对其资产居住的市场地区以外的经济信号做出响应之外，协调的市场解决方案还将允许扩展市场机制，例如金融传输权利和产能合同，以涵盖跨境的交易；因此，降低了新一代资源投资的价格不确定性。本文提出了单位承诺问题的分布式解决方案，该解决方案允许对互连电力市场的市场清算过程进行完全协调。
The implementation of electricity markets based on locational marginal pricing in a multi-settlement process has allowed wholesale competition, with pricing mechanisms that incentivize the optimal allocation of generation, transmission, and demand-response resources. While efficiency and reliability gains have been achieved in the US at a regional level, the lack of adequate inter-regional coordination mechanisms has limited broader gains. The shortcomings of cross-border coordination of electricity markets become more apparent as the industry transitions towards higher penetration of renewable resources, which tend to be concentrated in certain regions of the country, usually distant from load pockets. In addition to allowing market participants to respond to economic signals beyond the market region where their assets reside, a coordinated market solution would allow the extension of market mechanisms such as financial transmission rights and capacity contracts to cover transactions across borders; thereby, reducing price uncertainty around the investment in new generation resources. This paper presents a distributed solution to the unit commitment problem that allows for full coordination of the market clearing process across interconnected electricity markets.
