基于分布式弹性协商博弈的气象预测微网能源合作
A Distributed and Resilient Bargaining Game for Weather-Predictive Microgrid Energy Cooperation
摘要：
研究了微电网中合作能量管理的讨价还价博弈问题。这个游戏采用了一个完全分布式和现实的合作电力调度算法（CoDES），以及分布式纳什谈判解决方案（NBS）为基础的方法分配的整体电力法案产生的CoDES。一种新的基于天气的随机可再生能源发电（RG）预测方法被纳入电力调度。我们演示了所提出的游戏，使用4个用户的并网微电网模型与不同的用户需求，存储和RG配置文件，并检查天气预测的影响，提前一天的电力调度和成本/利润分配。最后，用户的矛盾心理合作和/或不诚实的讨价还价的结果的影响进行了调查，它表明，所提出的游戏是有弹性的恶意用户的企图，以避免支付他们的公平份额的整体法案。
英文摘要：
A bargaining game is investigated for cooperative energy management in microgrids. This game incorporates a fully distributed and realistic cooperative power scheduling algorithm (CoDES) as well as a distributed Nash Bargaining Solution (NBS)-based method of allocating the overall power bill resulting from CoDES. A novel weather-based stochastic renewable generation (RG) prediction method is incorporated in the power scheduling. We demonstrate the proposed game using a 4-user grid-connected microgrid model with diverse user demands, storage, and RG profiles and examine the effect of weather prediction on day-ahead power scheduling and cost/profit allocation. Finally, the impact of users' ambivalence about cooperation and /or dishonesty on the bargaining outcome is investigated, and it is shown that the proposed game is resilient to malicious users' attempts to avoid payment of their fair share of the overall bill.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
