计及不确定性的基于主从博弈的社区微网运营商电价优化方法

ELECTRICITY PRICE OPTIMIZATION METHOD FOR COMMUNITY MICROGRID OPERATORS BASED ON LEADER-FOLLOWER GAME CONSIDERING UNCERTAINTY

提出一种基于主从博弈的社区微网运营商电价优化方法,并通过场景削减对光伏不确定性进行描述。首先分别针对微网运营商和用户建立优化运行模型。然后分析运营商与用户之间的博弈关系,建立以运营商为领导者的主从博弈模型,并采用基于场景削减法的最优电价两阶段求解方法求解考虑不确定性的最优电价。最后,经算例分析验证,所提电价优化方法可将运营商的收益提高14.2%,还可将用户的电热成本降低0.92%;同时表明适量的储能可促进光伏的就地消纳并提高运营商收益;另外,该方法所求最优电价在不同随机场景下的运营商收益均值提高37.6元,而不同场景下的波动方差降低16.9%,即该电价在不同光伏出力场景下的普适性更好。

electricity price optimization method for community microgrid operators based on leader-follower game is proposed inthis paper,At the same time,the photovoltaic uncertainty through scene reduction is described.Firstly,establish optimization operation models for microgrid operators and users respectively.Secondly,analyze the game relationship between operators and users,establish a leader-follower game model led by operators,and use a two-stage solution method based on scene reduction to solve the optimal electricity price considering uncertainty.Finally,through case analysis and verification,the proposed electricity price optimization method can increase the revenue of operators by 14.2%,while reducing the electricity and heating cost of users by 0.92%;It also indicates that an appropriate amount of energy storage can promote the on-site consumption of photovoltaic energy and increase the revenue of operators;In addition,the average revenue for operators in different random scenarios when the optimal electricity price obtained by this method increases by 37.6 yuan,while the fluctuation variance in different scenarios decreases by 16.9%,which means that the electricity price has better universality in different photovoltaic output scenarios.