一种考虑峰荷-电量分摊机制和风电关键场景的输-配电网协同调度策略  

A Collaborative Scheduling Strategy for Transmission-distribution Systems Considering Peak Load-electricity Quantity Allocation Mechanism and Key Wind Power Scenarios

作　　者：涂青宇 苗世洪[1] 杨志豪 姚福星 林毓军 TU Qingyu;MIAO Shihong;YANG Zhihao;YAO Fuxing;LIN Yujun(State Key Laboratory of Advanced Electromagnetic Engineering and Technology(School of Electrical and Electronic Engineering,Huazhong University of Science and Technology),Wuhan 430074,Hubei Province,China)

机构地区：[1]强电磁工程与新技术国家重点实验室(华中科技大学电气与电子工程学院),湖北省武汉市430074

出　　处：《中国电机工程学报》2024年第2期597-609,I0013,共14页Proceedings of the CSEE

基　　金：国家电网公司科技项目(5419-202199551A-0-5-ZN)。

摘　　要：风电功率的不确定性问题严重制约其消纳,因此,激发输-配电网积极性并提出合理的风电协同消纳方法具有重要意义。在建立改进峰荷-电量责任模型的基础上,提出一种基于场景法的输-配电网多目标协同调度模型。首先,将传统输-配电网峰荷责任模型、电量责任模型相结合,同时计入风电消纳、需求响应的影响并引入输配电成本分摊机制,建立改进输-配电网峰荷-电量责任模型。其次,针对输-配电网集中式和分布式风电出力的不确定性问题,基于风电功率日前基础预测场景和奇、偶时刻的极限爬坡场景构建关键风电场景集,并在此基础上提出输-配电网柔性资源协同调度策略。然后,将输-配电网改进峰荷-电量责任模型和柔性资源协同调度策略相结合,建立输-配多目标协同优化模型。最后,基于典型T6D2系统进行案例仿真,采用目标级联分析法对所提模型进行求解。结果表明,所提模型有利于支撑并促进输-配电网提升风电消纳水平,而峰荷-电量责任的边际效应有助于输-配电网有序制定对应责任权重,从而实现经济效益、风电消纳和社会效益的合理均衡。The uncertainty of wind power seriously restricts its consumption.It is of great significance to stimulate the enthusiasm of transmission-distribution systems and propose a reasonable collaborative consumption method.In this paper,an improved peak load-electricity quantity responsibility model of transmission-distribution systems is proposed.And a multi-objective collaborative optimization model is then established based on the scenario optimization method.First,by combining the traditional peak load responsibility model and electricity quantity responsibility model,taking into account the influence of wind power consumption and demand response,and introducing the cost-sharing mechanism of transmission and distribution costs,the improved peak load-electricity quantity model is established.Second,aiming at the uncertainty of wind power,the typical wind power scenario set is established based on the day-ahead forecast scenario and the extreme ramp-up/ramp-down scenarios of wind power.On this basis,the collaborative scheduling strategy of flexible resources in transmission-distribution systems is proposed.After that,by combining the above two models,the multi-objective collaborative optimization model of transmission-distribution systems is established.Finally,the case study is carried out based on a typical T6D2 system,and the proposed model is solved by the analytical target cascading method.The results show that the model in this paper is conducive to promoting and supporting the improvement of wind power consumption rate of transmission-distribution systems.And the marginal effect of peak load-electricity quantity responsibility helps the transmission-distribution systems to formulate the corresponding responsibility weight in an orderly manner,so as to achieve a reasonable balance of economic benefits,wind power consumption,and social benefits.

关 键 词：峰荷-电量责任 输-配电网 多目标优化 风电消纳 场景法 

分 类 号：TM[电气工程]