摘要
气电互联虚拟电厂能够推动分布式能源的高效利用,考虑诸多不确定因素的有效调度策略是保证其运行品质的关键。本文在构建含电动汽车的气电互联虚拟电厂风电、光伏、燃气轮机、电转气设备、电动汽车各单元模型的基础上,采用区间优化理论描述了该虚拟电厂中风电、光伏出力及电负荷、气负荷的不确定性;以运行经济效益、用户舒适度、二氧化碳排放作为优化目标,考虑功率平衡、设备工作特性等约束条件,构建了气电互联虚拟电厂的区间多目标优化调度方案,并设计了改进非支配排序遗传算法对气电互联虚拟电厂多目标调度方案进行求解。选取某地区气电互联虚拟电厂冬季供暖场景进行算例分析,结果表明,集群电动汽车的充电行为增大调度周期内的电负荷,各个优化目标方案中燃气轮机出力普遍得到提升,热电互联效应下空调温度高于设定值22℃;考虑调度不确定因素,各目标下优化结果区间宽度各不相同,验证了区间优化调度方案更具真实性且在保证热舒适性方面更具有鲁棒性。
The gas-electricity interconnected virtual power plant can promote the efficient use of distributed energy.An effective dispatch strategy that takes into account many uncertain factors is the key to ensuring its operational quality.On the base of the construction of a gaselectric interconnected virtual power plant including electric vehicles,wind power,photovoltaics,gas turbines,electric-to-gas equipment and electric vehicles,describing the uncertainty of wind power,photovoltaic power output,electrical load,and gas load in the virtual power plant by use of the interval optimization theory;Taking operating economic benefits,user comfort and carbon dioxide emissions as the optimization targets,and considering constraints such as power balance and equipment operating characteristics,an interval optimal scheduling plan for the gas-electricity interconnected virtual power plant is constructed,and designing an improved non-dominated sorting genetic algorithm to solve the scheduling scheme of gas-electric interconnection virtual power plant.An analysis of a case study is selected for the winter heating scenario of a gas-electricity interconnected virtual power plant in a certain area.The results show that the charging behavior of cluster electric vehicles increases the electric load during the dispatch period,and the output of gas turbines in each optimization target scheme is generally higher.The temperature is higher than the set value of 22;Considering the uncertain factors of scheduling,the interval width of the optimization results under each objective is different,which verifies that the interval optimization scheduling scheme is more authentic and more robust in terms of ensuring thermal comfort.
作者
韩帅
孙乐平
卢健斌
郭小璇
HAN Shuai;SUN Leping;LU Jianbin;GUO Xiaoxuan(Electric Power Research Institute of Guangxi Power Grid Co.,Ltd,Nanning 530023,Guangxi,China)
出处
《储能科学与技术》
CAS
CSCD
北大核心
2022年第5期1428-1436,共9页
Energy Storage Science and Technology
基金
广西电网有限责任公司电力科学研究院科技项目(ZBKJXM20180569)。
关键词
虚拟电厂
电转气
区间优化
多目标优化调度
非支配排序遗传算法
virtual power plant
electricity-to-gas
interval optimization
multi-objective optimization scheduling
non-dominated sorting genetic algorithm
