考虑碳交易的多虚拟电厂联盟博弈优化方法

Coalition Game Optimization Method for Multiple Virtual Power Plants Considering Carbon Trading

为提高分布式资源的综合运行效益,提出考虑碳交易的多虚拟电厂联盟博弈优化方法。首先,根据虚拟电厂的实际碳排放量与对碳价的期望,以碳排放价格的用户不满意度最小为目标,提出阶梯式碳价的区间优化方法;其次,综合考虑虚拟电厂之间的功率流动和碳交易,构建多虚拟电厂的联盟博弈优化模型。最后,针对模型的复杂性,使用基于合并-分裂规则的博弈算法进行求解,以兼顾联盟与个体的利益。通过算例分析验证了所提方法的有效性。

To improve the comprehensive operation revenue of distributed resources,a coalition game optimization method for multiple virtual power plants(VPPs)considering carbon trading is proposed.First,according to the actual carbon emissions from VPPs and their expectations of carbon prices,an interval optimization method of ladder-type carbon price is proposed to minimize the customer dissatisfaction with carbon emission prices.Second,considering the power flow and carbon trading among VPPs,a coalition game optimization model for multiple VPPs is developed.Finally,aimed at the complexity of this model,it is solved using a game algorithm based on the merge-split rule in order to take into account the interests of both the coalition and individuals.The effectiveness of the proposed method is verified by a case study.