考虑大量EV接入的电-气-热多能耦合系统协同优化调度  

Coordinated Optimal Dispatch of Electricity-Gas-Heat Multi-energy System Considering High Penetration of Electric Vehicles

作　　者：潘振宁[1,2] 王克英 瞿凯平[1,2] 余涛 王德志[1,2] 张孝顺[1,2] 

机构地区：[1]华南理工大学电力学院,广东省广州市510640 [2]广东省绿色能源技术重点实验室,华南理工大学,广东省广州市510640

出　　处：《电力系统自动化》2018年第4期104-112,共9页Automation of Electric Power Systems

基　　金：国家自然科学基金资助项目(51777078)

摘　　要：随着能源互联网的发展,在未来多能源网络将深度耦合的大背景下,传统的电网调度模式已不能够满足对多能源系统协同优化的要求,电动汽车的大量推广也给制定更合理的调度策略,支撑多能源系统运行带来了新的挑战和机遇。基于上述背景,文中考虑电网潮流、天然气网潮流、能源中心供能和电动汽车出行及充电需求等约束,利用模糊理论处理电动汽车总体需求及风电出力的不确定性,以全系统供能成本和污染物排放最小为目标,建立了计及大量电动汽车接入下的多能源系统协同调度模型,并采用内点法进行求解。最后,以典型的11节点多能源系统为算例,分析了电动汽车不同充放电模式和不同能源中心结构下的调度策略及效益,并比较了不同接入车数与不同置信水平下的调度结果,验证了电动汽车参与多能源系统的协同调度能够提升系统运行的经济性。The traditional dispatch mode of the power system cannot meet the requirement of multi-energy system dispatch in the background of development of Energy Internet and deep coupling among multi-energy networks.The high penetration of electric vehicles（EVs）is both opportunity and challenge for the multi-energy system to make flexible dispatch strategy.Based on the background,this paper develops a coordinated optimal dispatch model for electricity-gas-heat multi-energy system considering high penetration of EVs.The fuzzy optimization theory is adopted to deal with the total charge demand of EVs and the uncertainty of the wind power output.The model is proposed to minimize the total energy supply cost and the pollutant emission when the constraints of power flow,natural gas system,energy demand of energy hub and EV charge demand can be satisfied.The interior point method is chosen to solve the model.Finally,the typical 11-node multi-energy system is taken as an example,and the dispatch strategies and benefits under different EV charge/discharge modes and energy center structures are analyzed.The dispatch results under different EV numbers and confidence levels are compared,which shows that the proposed coordinated dispatch can improve the economic efficiency of the power system.

关 键 词：多能源系统 能源中心 电动汽车 协同调度 

分 类 号：TK01[动力工程及工程热物理] TM73[电气工程—电力系统及自动化]