基于随机优化的虚拟电厂热电联合经济优化调度  

COMBINED HEAT AND POWER ECONOMIC OPTIMAL DISPATCHING IN VIRTUAL POWER PLANT BASED ON STOCHASTIC OPTIMIZATION

作　　者：李嘉森 王进[1] 杨蒙 赵书豪 张孝跃 Li Jiasen;Wang Jin;Yang Meng;Zhao Shuhao;Zhang Xiaoyue(College of Information and Electrical Engineering,Changsha University of Science and Technology,Changsha 410114,China;Henan Electric Power Company of State Grid,Zhengzhou 450000,China)

机构地区：[1]长沙理工大学电气与信息工程学院,长沙410114 [2]国网河南省电力公司超高压公司,郑州450000

出　　处：《太阳能学报》2023年第9期57-65,共9页Acta Energiae Solaris Sinica

基　　金：湖南省教育厅重点资助项目(19A011)。

摘　　要：针对三北地区现有能源结构调节能力不足而导致的弃风问题,将风电场、光热电站、火电机组和热电联产机组聚合为虚拟电厂。采用随机优化处理风光不确定性问题,通过拉丁超立方抽样生成大量随机风光场景,并在充分考虑风光相关性和分布随机特性的基础上,利用Kantorovich距离削减与K-均值聚类算法对随机场景进行降维优化,获得风电、太阳直接辐照度典型预测场景。结合光热电站的灵活性与供能惯性,构建含光热虚拟电厂热电联合优化调度模型,并建立系统总运行成本最小的目标函数。最后在算例部分验证所提随机优化方法在计算效率、预测精度和处理风光随机问题的优越性;对不同运行模式下的目标函数进行求解,验证所提出的优化调度策略能够在满足系统运行经济性的同时实现风电的最大消纳。Aiming at the problem of wind curtailment caused by the energy structure lacked the adjustment ability in the three north area,this paper aggregated wind farm,concentrating solar power plant(CSPP),thermal power units and combined heat and power(CHP)plant into virtual power plant(VPP).Using stochastic optimization to deal with the uncertainty of wind-solar,Latin hypercube sampling(LHS)was used to generated a large number of random scenes,and based on considering the random characteristics and correlation of wind-solar distribution fully,Kantorovich distance reduction and K-means clustering algorithm were used to optimized and reduced the dimension of random scenes,for obtaining typical prediction wind-solar scenes.Combined with the flexibility and energy supply inertia of CSPP,the optimal dispatching model of the VPP contained photothermal was constructed,and the objective function of minimizing the total operation cost of the system was established.Finally,an example was given to verify the superiority of the proposed stochastic optimization method in computational efficiency and prediction accuracy;The objective functions under different operation scenarios were solved to verify that the optimal dispatching model could improve the wind power consumption capacity while reducing the system operation cost effectively.

关 键 词：虚拟电厂 不确定性 随机优化 场景生成 优化调度 

分 类 号：TM73[电气工程—电力系统及自动化]