考虑电动汽车出行规律的虚拟电厂鲁棒优化调度  

Robust Optimal Scheduling of Virtual Power Plants Considering Travel Rules of Electric Vehicles

作　　者：李轶 朱亚萍 王昕[3] LI Yi;ZHU Yaping;WANG Xin(Logistics Engineering College,Shanghai Maritime University,Shanghai 201306;Shaoxing Shangyu District Power Supply,State Grid Zhejiang Electric Power Co.,Ltd.,Shangyu 312300;Center of Electrical and Electronic Technology,Shanghai Jiao Tong University,Shanghai 200240)

机构地区：[1]上海海事大学物流工程学院,上海201306 [2]国网浙江省电力有限公司绍兴市上虞区供电公司,上虞312300 [3]上海交通大学电工与电子技术中心,上海200240

出　　处：《电气工程学报》2024年第2期307-315,共9页Journal of Electrical Engineering

摘　　要：风电的不确定性和电动汽车出行的随机性会影响虚拟电厂的安全和经济运行。根据风速的概率分布利用区间运算生成风电出力的不确定集合,基于电动汽车出行规律提出了蒙特卡洛抽样流程,模拟电动汽车的出行状态。建立放电补贴和充电补偿的引导措施调度电动汽车进行有序充放电,计及各单元运行和电动汽车出行规律的约束,构建以虚拟电厂运行成本最低为目标函数的鲁棒优化模型。考虑不同场景下的最劣情况进行对等模型转换,调用Gurobi求解模型。算例结果分析证明,调度策略可以显著提高虚拟电厂运行的经济性和安全性,模型发挥电动汽车缓冲作用,对抑制风电出力的波动具有可靠性。The uncertainty of wind power and the randomness of electric vehicle travel will affect the safe and economic operation of the power grid.The probability distribution of wind speed is considered to generate the uncertainty interval of wind power output,and Monte Carlo sampling is used to simulate the travel status of electric vehicles.Scheduling electric vehicles for orderly charging and discharging through discharge subsidies and charging compensation measures,taking into account the constraints of the operation of each unit and the travel law of electric vehicles.A robust optimization model with the objective function of minimizing the operating cost of a virtual power plant is constructed.The worst case in different scenarios is considered to perform equivalent model conversion,and Gurobi is called to solve the model.By analyzing the results of the calculation example,it is proved that the optimized strategy obtained by the solution can significantly improve the economy and safety of the virtual power plant operation,the model is reliable for restraining the fluctuation of wind power output.

关 键 词：虚拟电厂 风力发电 电动汽车 蒙特卡洛 鲁棒优化 

分 类 号：TM73[电气工程—电力系统及自动化]