Abstract With the rapid growth of centralized utilization of large-scale renewable energy, to improve the stability of power grid and reduce operating costs, microgrid and renewable distributed generation (DG) has become the key direction of China. For a microgrid integrated with wind turbines, photovoltaic (PV) and micro-gas-turbine, the installed capacities need to be configured rationally to achieve economical and reliable power supply. In this paper, a structure of a microgrid based on multi-agent system (MAS) is established, and a game-theory-based optimization model is presented for the capacity configuration of these agents. The economic interests between the agents and their actions are analyzed by the game model. Besides, the interactions between microgrid and power grid, and the uncertainty of wind power and solar power are taken into account. The Nash Equilibrium of the game is worked out by particle swarm optimization, as the reference for the configuration of the agents. In the end, a wind/solar/gas microgrid model is used for the numerical tests to analyze and compare the effectiveness of the game optimization. The results show that under cooperative game, the investors’ profits of wind turbines, PV and micro-gas-turbine increase by 6%, 19%, 88% compared with the non-cooperative game, while the total configured capacities decrease by 10%.

中文翻译：

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基于多智能体系统的微电网容量配置博弈理论分析

摘要 随着大规模可再生能源集中利用的快速增长，为提高电网稳定性、降低运行成本，微电网和可再生分布式发电（DG）已成为我国的重点发展方向。对于集风力发电机、光伏（PV）和微型燃气轮机为一体的微电网，需要合理配置装机容量，以实现经济可靠的供电。在本文中，建立了基于多代理系统（MAS）的微电网结构，并针对这些代理的容量配置提出了基于博弈论的优化模型。通过博弈模型分析代理人与其行为之间的经济利益。此外，微电网与电网的相互作用，并且考虑了风电和太阳能的不确定性。博弈的纳什均衡是通过粒子群优化得到的，作为代理配置的参考。最后，利用风/太阳能/燃气微电网模型进行数值试验，分析比较博弈优化的有效性。结果表明，在合作博弈下，风电机组、光伏、微型燃气轮机的投资者收益较非合作博弈分别增长6%、19%、88%，而总配置容量下降10% . 风/太阳能/燃气微电网模型用于数值测试，以分析和比较游戏优化的有效性。结果表明，在合作博弈下，风电机组、光伏、微型燃气轮机的投资者利润较非合作博弈分别增长6%、19%、88%，而总配置容量下降10% . 风/太阳能/燃气微电网模型用于数值测试，以分析和比较游戏优化的有效性。结果表明，在合作博弈下，风电机组、光伏、微型燃气轮机的投资者利润较非合作博弈分别增长6%、19%、88%，而总配置容量下降10% .