考虑源荷不确定性及配电网接纳裕度的弹性调度策略

为解决渐进式加剧的小扰动事件对配电网调度的影响,提出一种考虑源荷不确定性及配电网接纳裕度的弹性调度策略,并建立两阶段优化模型求解。首先通过拉丁超立方抽样和后向场景削减技术生成以风光为源、以电动汽车为荷的功率预测典型场景,将不确定性问题转化为典型场景分析问题；在此基础上,第一阶段引入接纳裕度,以配电网对电动汽车接纳能力最大为目标构建电价型需求侧响应模型,对用户负荷削峰填谷；第二阶段引入需求侧响应结果,建立以系统运行成本最低为目标的经济调度模型,提出改进人工蜂群算法进行求解。测试结果表明本文所提策略能增强配电网在渐进式加剧不确定性事件下的适应力,实现配电网弹性高效运行。

Elastic Scheduling Strategy Considering Uncertainty of Source Load and Acceptance Margin of Distribution Network

In order to solve the impact of gradual aggravation of small disturbance events on distribution network scheduling, an elastic scheduling strategy considering the uncertainty of source load and the acceptance margin of distribution network is proposed, and a two-stage optimization model is established to solve the problem. Firstly, Latin hypercube sampling and backward scenario reduction techniques are used to generate typical scenarios with wind and solar as the source and electric vehicles as the load, and the uncertainty problem is transformed into a typical scenario analysis problem; On this basis, in the first stage, acceptance margin is introduced to maximize the acceptance capacity of distribution network to electric vehicles, and a demand side response model based on electricity price is constructed to realize peak load cutting and valley filling; In the second stage, the demand side response results are introduced to establish the economic scheduling model with the lowest system operation cost as the goal, and the improved artificial bee colony algorithm is proposed to solve the problem. The test results show that the proposed strategy can enhance the adaptability of the distribution network under the gradually increasing uncertainty events, and realize the elastic and efficient operation of the distribution network.