考虑不确定性的风光燃蓄多目标随机调度优化模型  

A Multi-objectives Stochastic Scheduling Optimization Model for Wind-photovoltaic Pumped Storage Power Station and Convention Gas Turbine Considering Uncertainty

作　　者：赵东来 牛东晓[1] 杨尚东 梁才[3] ZHAO Donglai;NIU Dongxiao;YANG Shangdong;LIANG Cai(School of Economics and Management,North China Electric Power University,Beijing 102206,China;State Grid(Suzhou)City&Energy Research Institute,Suzhou 215000,China;State Grid Energy Research Institute,Beijing 102209,China)

机构地区：[1]华北电力大学经济管理学院,北京102206 [2]国网(苏州)城市能源研究院,江苏苏州215000 [3]国网能源研究院,北京102209

出　　处：《湖南大学学报（自然科学版）》2018年第4期138-147,共10页Journal of Hunan University:Natural Sciences

基　　金：国家重点研发计划项目(2016YFB0901104);国家自然科学基金资助项目(51307051);中央高校基本科研业务费专项资金资助项目(2014ZP03;2015ZD01)~~

摘　　要：为支撑以风光为代表的高比例可再生能源发电并网,集成风电场(Wind Power Plant,WPP)、光伏发电站(Photovoltaic power station,PV)、燃气轮机(Convention Gas Turbine,CGT)和抽水蓄能电站(Pumped Storage Power Station,PHSP)为多电源系统(Multi-power Hybrid System,MPHS),建立了基于鲁棒随机优化理论的风光燃储随机调度优化模型.首先,介绍了多电源系统的基本构成,建立了多电源出力模型;然后,以系统运行经济效益最大化和输出功率波动最小化作为优化目标,确立多电源系统调度运行多目标模型.同时,为克服不确定性给系统带来的影响,提出了基于预测功率的风光不确定性刻画方法,转换含不确定性变量的约束条件为可反映决策者风险态度的约束条件,建立MPHS随机调度优化模型;最后,选取装机容量为9.6 MW风电场,6.5 MW光伏发电机组和3台CGT机组以及和1座上水库等效容量为10 MW·h构造仿真系统.算例结果表明:1)MPHS系统能充分利用不同能源发电互补特性,实现系统整体运行结果最优;2)PHSP能优化调整自身运行行为,为风光并网提供更大的容量空间;3)鲁棒系数的引入能能为不同风险偏好型决策者提供调度决策工具,在追逐经济效益最大户的同时最小化运行风险水平.To support the high proportion grid interconnection of renewable energy power generation such as wind power and photovoltaic,this paper integrates the wind power plant(WPP),photovoltaic power station(PV),convention gas turbine(CGT)and pumped storage power station(PHSP)as the multi-power Hybrid System(MPHS),and establishes a WPP-PV-CGT-PHSP stochastic scheduling optimization model based on robust stochastic optimization theory.First,this paper introduces the basic structure of MPHS and establishes a multi-power output model.Then,based on the optimization goal of system operation economic benefit maximization and output power fluctuation minimization,the MPHS scheduling operation multi-objective model is established.Simultaneously,to overcome the uncertainty impact on the system,this paper presents an uncertainty characterization method of wind power and photovoltaic based on predictive power,transforms the constraints containing uncertainty variables into the constraints reflecting the decision makers’risk attitude,and then forms MPHS stochastic scheduling optimization model.Finally,WPP with 9.6 MW installed capacity,PV with 6.5 WM installed capacity,3 CGT and 1 upper reservoir with 10 MW·h equivalent capacity are taken as the simulation system.The simulation results show as follow:1)MPHS can make full use of the power generation complementary characteristics of different energy,and achieve optimal overall system operation results.2)PHSP can optimize and adjust the operational behavior to provide greater capacity for wind power and photovoltaic grid connection.3)The introduction of robust coefficients can provide scheduling decision-making tool for different risk-preference decision makers,minimize the operational risk during chasing the maximum economic benefits.

关 键 词：风电 燃气轮机 多目标 不确定性 

分 类 号：TM734[电气工程—电力系统及自动化]