考虑电力系统灵活性供需平衡的混合储能联合规划

Joint planning of hybrid energy storage considering the flexibility of supply and demand balance in power system

风电、光伏等可再生能源出力具有强波动性和随机性,增加了电力系统的灵活性需求。文章提出了兼顾经济性和灵活性的电力系统混合储能联合规划方法。首先,针对源荷两端灵活性需求,从电力电量平衡角度对系统灵活性进行了评估;其次,以火电机组灵活性改造、全钒液流电池、抽水蓄能3类灵活性资源为规划对象,构建火电机组灵活性改造和混合储能协调的双层规划模型;利用上、下层模型对方案不断进行迭代优化,得到兼顾经济性和灵活性的最优混合储能配置方案;再次,采用基于反向学习的改进型白鲸算法对规划模型进行优化,并通过仿真验证了模型的正确性;最后,以蒙东某地区历史数据进行算例分析,验证所提方法的有效性。

The output of wind,solar and other renewable energy sources is highly variable and stochastic,which poses a great challenge for the flexibility of the system.Therefore,a hybrid energy storage joint planning method for power systems that balances economy and flexibility is proposed.First,the flexibility requirements of the source and load sides are assessed from the perspective of power balance;then,a two-layer planning model that coordinates the flexibility retrofit of thermal power units and the hybrid energy storage is established,with three types of flexibility resources as the planning objects,namely,thermal power unit flexibility retrofit,Vanadium Redox flow Battery,and pumped storage.Using the upper and lower layer models,the scheme is iteratively optimized to obtain the optimal hybrid energy storage configuration scheme that balances economy and flexibility;secondly,an improved whale algorithm based on inverse learning is adopted to optimize the planning model,and the validity of the model is verified by simulation.Finally,a case study is carried out using historical data from a certain region in Inner Mongolia Eastern to validate the effectiveness of the proposed method.