摘要
风电较强的随机波动性导致系统的灵活性需求剧增,应用储能辅助调峰能够有效解决大规模风电并网带来的系统调峰问题。提出兼顾经济性和灵活性的储能辅助调峰优化配置方法,建立双层优化配置模型。上层储能规划模型考虑调峰需求的不确定性,从经济性最优的角度求解储能的配置方案;下层运行优化模型考虑机组的随机停运、最大/最小出力限制以及不同出力状态下的向上/向下爬坡率等调峰能力的不确定性,以总调峰能力不足期望最小为目标,计及储能的运行策略,利用基于有效容量分布的时序随机生产模拟方法,计算调峰灵活性评估指标,并将灵活性不足损失成本返回上层优化模型。最后,通过上下层模型的不断优化迭代得到兼顾经济性和灵活性最优的储能配置方案。IEEE RTS-24节点系统和IEEE118节点系统的仿真计算表明,所提的模型和方法能够有效量化风储规模及系统不确定性对调峰灵活性的影响,为系统的灵活性供需平衡提供理论支撑。
Wind power has strong randomness, which increases the demand of the system flexibility. Using energy storage for auxiliary peak-shaving can solve the problems brought by large-scale wind power grid-connection. Considering the economy and flexibility, we propose an optimal allocation method and establish a double optimization model of energy storage auxiliary peak-shaving: The upper layer model figures out the configuration scheme of the energy storage from the economic optimization considering the uncertainty of peak-shaving demand;the underlying model aims to minimize the expected peak-shaving ability shortage considering the forced outage, the maximum/minimum outputs of units and the up/downward ramp rates in different generation output ranges. We use probabilistic production simulation based on the available capacity distribution to assess the flexibility indexes considering the operation strategy of energy storage, and return the loss of flexibility to the upper optimization model. Finally, we obtain the optimal allocation of energy storage considering both the economy and flexibility through continuous optimization and iteration. Results of the IEEE RTS-24 bus system and the IEEE 118 bus system show that the model and method can effectively quantify the influence of unit sizes and the uncertainty on the system flexibility. It also provides theoretical support for flexibility balance.
作者
孙伟卿
宋赫
秦艳辉
李恒
SUN Weiqing;SONG He;QIN Yanhui;LI Heng(Department of Electrical Engineering,University of Shanghai for Science and Technology,Yangpu District,Shanghai 200093,China;State Grid Xinjiang Electric Power Research Institute,Urumqi 830002,Xinjiang Uygur Autonomous Region,China;State Grid Yinchuan Power Supply Company,Yinchuan 750004,Ningxia Hui Autonomous Region,China)
出处
《电网技术》
EI
CSCD
北大核心
2020年第12期4486-4494,共9页
Power System Technology
基金
国家自然科学基金项目(51777126)
新疆维吾尔自治区自然科学基金项目(2020D01A05)。
关键词
灵活性
双层优化模型
随机生产模拟
储能优化配置
风电消纳
flexibility
double optimization model
probabilistic production simulation
optimal allocation of energy storage systems
wind power accommodation
