基于数据驱动的交直流配电网分布鲁棒优化调度  

Distributed Robust Optimal Dispatching of AC/DC Distribution Network Based on Data Driven Mode

作　　者：孙旭[1] 邱晓燕[1] 张志荣[1] 任昊 张明珂 SUN Xu;QIU Xiaoyan;ZHANG Zhirong;REN Hao;ZHANG Mingke(College of Electrical Engineering,Sichuan University,Chengdu 610065,Sichuan Province,China)

机构地区：[1]四川大学电气工程学院,四川省成都市610065

出　　处：《电网技术》2021年第12期4768-4777,共10页Power System Technology

基　　金：四川省科技厅重点研发项目(2017FZ0103,21ZDYF3753)。

摘　　要：清洁能源替代一方面有助于实现碳中和目标,另一方面风光等分布式电源(distributed generation,DG)的高比例接入又给配电网运行带来了新挑战。基于交直流网架配电提高了消纳率,但以往对VSC建模一般比较理想,且传统优化方法在处理DG和负荷不确定性方面具有很大的局限性。基于此,建立了基于数据驱动的交直流配电网分布鲁棒优化调度模型。首先,该模型以配网主体盈利最大为目标函数,考虑DG接入、电容器组投切、储能充放电调节、电价型需求响应、VSC运行以及网络重构等多种约束,以实现优化调度;其次,通过二阶锥松弛和McCormick线性化方法,将原始混合整数非线性模型(mixed integer nonlinear programming,MINLP)转化为混合整数二阶锥凸优化模型(mixed integer second-order cone programming,MISOCP);然后,结合风光和负荷的典型历史数据以及决策变量的调节特性,构建数据驱动的两阶段分布鲁棒优化调度模型,并综合1-范数和∞-范数同时约束不确定性概率分布置信集合;最后采用列与约束生成(the column and constraint generation,CCG)算法进行求解,基于修改的IEEE33节点算例验证了所提模型的有效性。The replacement of clean energy helps achieve the goal of carbon-neutrality,but,on the other hand,the high proportion access of distributed generations(DG)such as wind and solar has also brought new challenges to the stable operation of the distribution network.The power distribution based on the AC/DC grid improves the absorption rate,while the VSC modeling is generally considered ideal,and the traditional optimization method has great limitations in dealing with DG and load uncertainty.Therefore,this paper establishes a distributed robust optimal dispatching of the AC/DC distribution network based on the data driven mode.First of all,taking the maximum profit of the distribution network as the objective function,this model considers the multiple constraints such as the DG operation constraints,the capacitive reactor switching,the energy storage charging and discharging adjustment,the electricity price demand response,the VSC operation,and the network reconfiguration to achieve optimal scheduling.Then,by using the second-order cone relaxation and the McCormick linearization methods,the original mixed integer nonlinear model is transformed into a mixed integer second-order cone-convex optimization model.Moreover,combined with the typical historical data of wind,solar and load,and the adjustment characteristics of the decision variables,a data-driven two-stage distributed robust model is constructed.The 1-norm and-norm are combined while constraining the uncertainty probability distribution confidence set.Finally,the column and constraint generation(CCG)algorithm is used to solve the problem.The validity of the proposed model is verified based on the modified IEEE33 node calculation example.

关 键 词：分布式电源 交直流配电网 分布鲁棒 需求响应 不确定性 网络重构 

分 类 号：TM721[电气工程—电力系统及自动化]