摘要
构建了一种由风电-光伏-抽水蓄能-蓄电池组成的联合运行系统,并提出以成本最低、全生命周期碳排放量最小为优化目标的系统容量优化配置方法。基于所研究地区的真实数据,采用带精英策略的快速非支配排序遗传算法(NSGA-Ⅱ)和逼近理想解排序法(TOPSIS)求解得到系统的最优容量配置方案。结果表明:所研究的联合运行系统在供电可靠性得到保证的同时,能以较低的成本和较小的碳排放量实现对风光电的高效消纳,系统具有更好的经济性和环保性,从而验证了所提出模型和方法的有效性。
A joint operation system consisting of wind power,photovoltaic power,pumped storage,and battery was constructed,and a capacity allocation optimization method with the lowest cost and the lowest lifecycle carbon emission as optimization objectives was proposed.Based on the real data of the reference region,the optimal capacity allocation scheme of the proposed system was obtained with the fast non-dominated sorting genetic algorithm with elite strategy(NSGA-Ⅱ)and technique for order preference by similarity to ideal solution(TOPSIS).Results show that the studied joint operation system can not only ensure the power supply reliability,but also achieve the effective accommodation of wind and solar power with low costs and carbon emissions.The system has good economic and environmental protection performance,and the effectiveness of the proposed model and method is validated.
作者
刘忠
张乐
寇攀高
邹淑云
LIU Zhong;ZHANG Le;KOU Pangao;ZOU Shuyun(School of Energy and Power Engineering,Changsha University of Science and Technology,Changsha 410114,China;Electric Power Research Institute,State Grid Hunan Electric Power Company Limited,Changsha 410007,China)
出处
《动力工程学报》
CAS
CSCD
北大核心
2023年第9期1151-1159,共9页
Journal of Chinese Society of Power Engineering
基金
国家自然科学基金资助项目(52079011)。
关键词
可再生能源
抽水蓄能
蓄电池
多目标优化
碳排放量
容量配置
renewable energy
pumped storage
battery
multi-objective optimization
carbon emission
capacity allocation
