摘要
为响应高比例可再生能源的风光储联合发电系统储能侧灵活配置与调度,提出一种基于鲁棒理论的两阶段综合优化模型。第1阶段利用鲁棒优化理论构建可再生能源出力的不确定集,在分时电价的基础下以储能侧全生命周期成本、系统内总发电成本、联络线功率波动及成本最小为目标配置储能功率、容量及联络线功率;第2阶段以联络线功率偏移量及系统内发电成本最小为目标规划储能侧各时段充放电功率及常规机组出力。用群体智能算法——飞蛾扑火算法的改进对模型进行求解,利用IEEE 9节点系统验证模型合理性与算法有效性。
In response to the flexible allocation and scheduling of energy storage side of wind-solar-storage combined power generation system with high proportion of renewable energy,a two-stage comprehensive optimization model based on robust theory is proposed.The first stage uses robust optimization theory to construct uncertain sets of renewable energy output.On the basis of time-sharing tariff,energy storage power,capacity and tie-line power are allocated with the objectives of life cycle cost of energy storage side,total generation cost in the system,fluctuation of tie-line power and minimum cost.In the second stage,charging and discharging power and conventional unit output are planned for each period of storage side,aiming at the minimum power offset of tie-line and generation cost in the system.A new swarm intelligence algorithm—Moth-Flame Optimization,is used to solve the model.The rationality of the model and the effectiveness of the algorithm are validated by using the IEEE 9-node system.
作者
李笑竹
王维庆
王海云
樊小朝
武家辉
王开科
Li Xiaozhu;Wang Weiqing;Wang Haiyun;Fan Xiaochao;Wu Jiahui;Wang Kaike(Engineering Research Center of Ministry of Education for Renewable Energy Generation and Grid Connection Technology,Xinjiang University,Urumqi 830047,China;State Xinjiang Electric Power Company Electric Power Science Research Institute,Urumqi 830011,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2020年第8期67-78,共12页
Acta Energiae Solaris Sinica
基金
国家自然科学基金(51667020,51666017)
新疆维吾尔自治区天山雪松计划(2017XS02)
新疆维吾尔自治区高校科研计划自然科学项目(XJEDU2017I002)
新疆自治区重点研发计划(2016B0201)
新疆自治区实验室开放课题(2018D04005)。
关键词
鲁棒性
发电系统规划
储能配置
最优决策
飞蛾扑火算法
风光储
robustness
electric power system planning
energy storage allocation
optimal decision
moth-flame optimization
wind-solar-storage
