随着新能源占比不断提高,多能交互微网群凭借其促进微网间能源互济、提升新能源利用率的能力,将成为智能电网的重要发展方向。为解决多能交互微网群在与用户进行能源交易过程中,对能源交易价格具有操纵性,多能交互微网群与用户间无法建立公平的能源交易机制的问题,建立政府、多能交互微网群、用户三方博弈模型,保证多能交互微网群与用户间能源交易行为的公平公正。由于传统的单层优化方法难以揭示多主体之间的交互行为,建立基于政府、多能交互微网群、用户三方博弈的多能交互微网群系统双层优化模型。模型上层为政府、多能交互微网群、用户三方博弈,三方博弈目标为政府社会福利最大化、多能交互微网群效益最优、用户满意度最高;模型下层为多能交互微网群系统优化调度,多能交互微网群系统协调各类能源转化最优分配,运行成本最低。最后,通过算例仿真验证该模型的有效性。
Abstract
Along with the increasing proportion of new energy, the multi-energy interactive microgrid cluster has become an important development direction of smart grid with its ability to promote energy inter-grid and enhance the utilization of new energy. In order to solve the problem that the price of energy trading is manipulated in the process of energy trading between MNEs and users, and a fair energy trading mechanism cannot be established between MNEs and users, this paper establishes a three-party game model among the government, MNEs and users to ensure the fair and just energy trading behavior between MNEs and users. Since the traditional single-layer optimization method is difficult to reveal the interaction behavior among multiple subjects, this paper establishes a two-layer optimization model of multi-energy interactive microgrid cluster system based on a three-party game among government, multi-energy interactive microgrid cluster and users. The upper layer of the model is a three-party game among the government, the multienergy interactive microgrid cluster and the users. The objectives of the three-party game are to maximize the social welfare of the government, optimize the benefits of the multi-energy interactive microgrid cluster and maximize the satisfaction of the users. The lower layer of the model is the optimal scheduling of the multi-energy interactive microgrid cluster system, which coordinates the optimal allocation of various energy conversions and the lowest operating cost. Finally, the effectiveness of the model is verified by arithmetic simulation.
关键词
微网群 /
博弈理论 /
优化运行 /
双层优化
Key words
microgrid cluster /
game theory /
optimizing operation /
bi-level optimization
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