Developing the electricity market at the distribution level can facilitate the energy transactions in distribution networks with a high penetration level of distributed energy resources (DERs) and microgrids (MGs). However, the lack of comprehensive information about the marginal production cost of competitors leads to uncertainties in the optimal bidding strategy of participants. The electricity demand within the network and the price in the wholesale electricity market are two other sources of the uncertainties. In this paper, a day-ahead-market-based framework for managing the energy transactions among MGs and other participants in distribution networks is introduced. A game-theory-based method is presented to model the competition and determine the optimal bidding strategy of participants in the market. Robust optimization technique is employed to capture the uncertainties in the marginal cost of competitors. Additionally, the uncertainties in demand are modeled using a scenario-based stochastic approach. The results obtained from case studies reveal the merit of considering competition modeling and uncertainties.

中文翻译：

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着重于竞争模型和不确定性的配网电力市场战略招标

在配电级发展电力市场可以促进配电网中的能源交易，其中分布式能源（DER）和微电网（MG）的渗透率很高。但是，由于缺乏有关竞争者边际生产成本的全面信息，导致参与者的最优竞标策略存在不确定性。网络内部的电力需求和电力批发市场的价格是不确定性的另外两个来源。在本文中，介绍了一种基于日间市场的框架，用于管理大型企业与配电网络中其他参与者之间的能源交易。提出了一种基于博弈论的方法来对竞争进行建模并确定市场参与者的最优竞标策略。采用稳健的优化技术来捕获竞争对手边际成本的不确定性。此外，需求的不确定性是使用基于场景的随机方法建模的。从案例研究中获得的结果揭示了考虑竞争模型和不确定性的优点。