田德, 陈忠雷. 风光储微电网系统复合储能的网格式优化[J]. 农业工程学报, 2019, 35(21): 196-201. DOI: 10.11975/j.issn.1002-6819.2019.21.023
    引用本文: 田德, 陈忠雷. 风光储微电网系统复合储能的网格式优化[J]. 农业工程学报, 2019, 35(21): 196-201. DOI: 10.11975/j.issn.1002-6819.2019.21.023
    Tian De, Chen Zhonglei. Subregional optimization of wind-solar microgrid composite energy storage system[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2019, 35(21): 196-201. DOI: 10.11975/j.issn.1002-6819.2019.21.023
    Citation: Tian De, Chen Zhonglei. Subregional optimization of wind-solar microgrid composite energy storage system[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2019, 35(21): 196-201. DOI: 10.11975/j.issn.1002-6819.2019.21.023

    风光储微电网系统复合储能的网格式优化

    Subregional optimization of wind-solar microgrid composite energy storage system

    • 摘要: 为了提高微电网对可再生能源发电的消纳能力,降低微电网中可再生能源发电对外部电网的不良影响,该文研究了风光储微电网复合储能系统的网格化分布及容量匹配方法,提出了风光储微电网自适应网格化分层控制策略。建立基于风电、光伏、网格化复合储能系统、分布式负载的微电网模型,围绕研究内容进行仿真分析,采用改进粒子群算法(partical swarm optimization,PSO)进行求解,结果表明该文提出的风光储微电网复合储能系统网格式优化方法和微网自适应网格化分层控制策略,可将微电网内可再生能源发电全部消纳,不对外进行功率输出,同时对外最大功率需求为895.8 kW,仅为传输功率上限的6.40%,并且对外电网功率需求出现在00:00~5:00和18:00~21:00时间段,该2个时间段均为电网低负荷的时间,对外电网的影响不大,不会给外电网带来沉重的压力。由此可见,提出的储能系统网格优化方法可有效地平抑微电网系统中源侧和用户行为的波动性,提升了电网对可再生能源的消纳能力,减少可再生能源对外电网的影响。

       

      Abstract: Abstract:Microgrid is a new type of power grid which combines micro power supply, multiple loads and energy storage system. Renewable energy generation is the main form of micro power supply, and it has the characteristics of intermittent and instability, which greatly affects the stability and security of micro grid operation. In order to improve the stability and security of micro grid operation, improve the absorption capacity of micro grid for renewable energy generation, and reduce the adverse impact of renewable energy generation in micro grid on micro grid and external grid, the role of energy storage system is particularly important. In order to optimize the traditional micro grid hybrid energy storage system, the grid distribution and capacity matching method of the hybrid energy storage system were studied, and the adaptive grid hierarchical control strategy was proposed. Taking an industrial park in the north of Hebei Province as an example, there were dozens of industrial enterprises in the park. The park adopted the mode of comprehensive energy system to achieve the maximum self-sufficiency of the park's energy consumption. With the same characteristics, each enterprise has a large area of available roof, which can use photovoltaic power generation to supply the park's energy; the park surrounding mountains can be built with distributed wind power or wind farms. The micro grid system includes external grid, regional grid, wind power, photovoltaic power generation, hybrid energy storage system and industrial load. Based on the basic conditions of the industrial park, the micro grid model including wind power, photovoltaic, grid composite energy storage system and distributed load was established. The micro grid was divided into four grids according to the simulation analysis of the research content, and the configuration of the composite energy storage system was solved by the improved particle swarm optimization (PSO). Before the optimization of composite energy storage, the external power outputs of the four grids were 1 280, 399, 1 284 and 957 kW; The external power demands were 1 480, 1 459, 1 396 and 1 247 kW, respectively. The results showed that the proposed grid format optimization method and adaptive grid hierarchical control strategy could eliminate all the renewable energy generation in the micro grid without external power output, at the same time, reduce the dependence of the external grid to the maximum, and achieve large-scale power self-sufficiency. The external power demands of the four grids were 79, 661, 81 and 253.8 kW, respectively, the total maximum external power demand was 895.8 kW, only 6.40% of the upper limit of transmission power. The power demand of the external power grid occurs in the two time periods of 00:00-05:00 and 18:00-21:00, both of which were the time of low load of the power grid, which had little impact on the external power grid and would not bring heavy pressure to the external power grid. It can be seen that the grid optimization method proposed in this paper can effectively suppress the fluctuation of source side and user behavior in micro grid system, improve the consumption capacity of renewable energy to the grid, and reduce the dependence and influence of renewable energy on the external grid.

       

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