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碳排放约束下可再生能源接入电网储能多阶段规划模型
引用本文:陈盛燃. 碳排放约束下可再生能源接入电网储能多阶段规划模型[J]. 中州煤炭, 2022, 0(9): 240-245. DOI: 10.19389/j.cnki.1003-0506.2022.09.040
作者姓名:陈盛燃
作者单位:东莞供电局,广东 东莞523000
摘    要:可再生能源接入电网后,由于电力系统功率分配性能较差,导致储能规划后的运行成本过高。设计了碳排放约束下可再生能源接入电网储能多阶段规划模型,分析了储能单元的功率以及荷电状态,确定储能系统充放电性能;计算了不同阶段的可再生能源功率的高低频,进行可再生能源储能系统功率分配;结合碳排放约束内容以及资本回收系数计算公式,确定储能多阶段规划目标函数,完成储能规划过程。经多轮算例分析可知,新型电网储能多阶段规划模型的使用效果较好,可有效控制储能单元运行成本,提升电力系统经济性。

关 键 词:优化配置  供电可靠性  容量配置  储能  规划运行  可靠性效益评估

 Multi-stage energy storage planning model for renewable energy access to power grid under carbon emission constraints
Chen Shengran.  Multi-stage energy storage planning model for renewable energy access to power grid under carbon emission constraints[J]. Zhongzhou Coal, 2022, 0(9): 240-245. DOI: 10.19389/j.cnki.1003-0506.2022.09.040
Authors:Chen Shengran
Affiliation:Guangdong Power Grid Corporation,Dongguan523000,Chin
Abstract:After the renewable energy is connected to the grid,the power distribution performance of the power system is poor,resulting in excessively high operating costs after energy storage planning.Therefore,a multi-stage planning model for renewable energy access to grid energy storage under carbon emission constraints was designed.First,the author analyzed the power of the energy storage unit and the expansion of the state of charge to determine the charging and discharging performance of the energy storage system.Secondly,calculated the high and low frequency of the renewable energy power at different stages,and carried out the power allocation of the renewable energy storage system.Finally,combined the carbon emission constraints and the calculation formula of the capital recovery coefficient to determine the objective function of the energy storage multi-stage planning to complete the energy storage planning process.The analysis of multiple rounds of calculation examples showed that,the use of the new grid energy storage multi-stage planning model is better,which can effectively control the operating cost of energy storage units and improve the economics of the power system.
Keywords:  optimal allocation   power supply reliability   capacity configuration   energy storage   planning and operation   reliability benefit evaluation
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