引用本文: | 李浩博,邹海荣,朱建红.考虑风电计划跟踪的储能调度模糊控制系统研究[J].电力系统保护与控制,2021,49(1):125-132.[点击复制] |
LI Haobo,ZOU Hairong,ZHU Jianhong.Research on a fuzzy control system of energy storage dispatch considering wind power plan tracking[J].Power System Protection and Control,2021,49(1):125-132[点击复制] |
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摘要: |
风储联合发电可在一定程度上确保风电功率并网计划的可靠实现,其关键技术离不开有效的储能能量管理与控制。提出了一种储能双层模糊控制策略。首先,利用改进的遗传算法优化自适应神经模糊推理系统,以获得未来风电功率。然后,结合实际储能荷电状态与风电功率并网计划动态跟踪调节需求,经双层模糊控制规则反复修正储能系统吞吐功率,确保储能系统的安全工作与功率计划跟踪目标的多任务执行。最后,利用现有仿真平台,采用风电场实际运行数据,通过将仿真结果与传统模糊控制进行对比,验证了所提策略的优越性。仿真结果表明,双层模糊控制策略能够在降低储能荷电状态越限次数的同时,进一步提高风电机组并网发电能力。 |
关键词: 风电场 功率计划 储能控制 分层模糊算法 跟踪 |
DOI:DOI: 10.19783/j.cnki.pspc.200251 |
投稿时间:2020-03-11修订日期:2020-05-22 |
基金项目:国家自然科学基金面上项目资助(61673226);南通市科技局项目资助(JC2018116) |
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Research on a fuzzy control system of energy storage dispatch considering wind power plan tracking |
LI Haobo,ZOU Hairong,ZHU Jianhong |
(1. School of Electrical Engineering, Shanghai Dianji University, Shanghai 201306, China;
2. School of Electrical Engineering, Nantong University, Nantong 226007, China) |
Abstract: |
Wind storage combined power generation can ensure the reliable realization of the wind power grid connection plan to a certain extent, but its key technology cannot be separated from effective energy storage energy management and control. A double-layer fuzzy control strategy for energy storage is proposed in this paper. First, an improved genetic algorithm is used to optimize the adaptive neural fuzzy inference system to obtain future wind power. Then, combined with the actual energy storage charge state and the wind power grid-connected plan dynamic tracking adjustment requirements, the huff and puff power of the energy storage system is repeatedly modified by double-layer fuzzy control rules to ensure the safe working of the energy storage system and the multi-task execution of the power plan tracking target. Finally, the existing simulation platform and the actual operation data of the wind farm are used. The advantages of the proposed strategy are verified by comparing the simulation results with traditional fuzzy control. The simulation results show that the double-layer fuzzy control strategy can further improve the grid-connected power generation capacity of wind turbines while reducing the number of times the energy storage charge state exceeds the limit.
This work is supported by National Natural Science Foundation of China (No. 61673226) and Project of Nantong Science and Technology Bureau (No. JC2018116). |
Key words: wind farm power planning control of energy storage hierarchical fuzzy algorithm tracking |