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作 者:刘道兵[1] 李珏岑 齐越 郭营营 鲍妙生 Liu Daobing;Li Juecen;Qi Yue;Guo Yingying;Bao Miaosheng(School of Electrical&New Energy,China Three Gorges University,Yichang 443000,China)
出 处:《太阳能学报》2025年第2期664-675,共12页Acta Energiae Solaris Sinica
基 金:三峡大学科技项目多源参与电网调峰机理研究(HZ2023072)。
摘 要:中国碳交易及辅助服务市场的逐步开放丰富了新能源电站储能的收益模式,提出一种考虑碳效益和运行策略的风电场储能优化配置方法。首先,构建储能综合效益计算模型,考虑储能增发电量效益、调频效益、碳效益和全寿命成本;其次,为协调储能同时参与风电平抑和辅助调频,建立储能运行-配置双层模型。上层模型以储能出力最小和充放能力最大为目标,采用模型算法控制求解平抑作用域,兼顾可充放电能力确定调频作用域。基于作用域制定考虑荷电状态(SOC)的多场景协调运行策略。下层储能优化配置模型以综合效益最大为目标,上层求解结果和运行策略为约束,采用哈里斯鹰算法求解。最后,通过算例验证了所提风电场储能优化配置方法有效性。The gradual opening of China’s carbon emissions trading and auxiliary services market has enriched the revenue model of energy storage in new energy power stations.A wind farm energy storage optimization allocation method considering carbon benefit and operation strategy is proposed in this paper.Firstly,a comprehensive benefit calculation model for energy storage is constructed,which takes into account the energy storage incremental capacity benefit,frequency regulation benefit,carbon benefit and whole life cost.Secondly,in order to coordinate energy storage to participate in wind power smoothing and auxiliary frequency regulation at the same time,a two-layer model of energy storage operation-configuration is established.The upper layer model aims to minimize the energy storage output and maximize the charging and discharging capacity,and adopts the model algorithm to control and solve the smoothing scope,and takes into account the charging and discharging capacity to determine the frequency regulation scope.A multi-scenario coordinated operation strategy considering SOC is developed based on the role scopes.The lower layer model is solved by the Harris Hawk algorithm with the objective of maximizing the integrated benefits,and the upper layer solution results and operation strategies as constraints.Finally,the article verifies the effectiveness of the proposed method for optimizing the allocation of energy storage in wind farms by means of an arithmetic example.
分 类 号:TM614[电气工程—电力系统及自动化]
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