| 引用本文: | 李军徽,岳鹏程,李翠萍,葛长兴,张嘉辉.提高风能利用水平的风电场群储能系统控制策略[J].电力自动化设备,2021,41(10): |
| LI Junhui,YUE Pengcheng,LI Cuiping,GE Changxing,ZHANG Jiahui.Control strategy of energy storage system in wind farm group to improve wind energy utilization level[J].Electric Power Automation Equipment,2021,41(10): |
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| 摘要: |
| 由于风电具有间歇性、波动性等特性，同时风电装机比重显著增长，电网接纳风电的能力受到各种因素制约。为了提高风能利用水平，从风电场群角度出发提出一种储能系统的充放电策略以消纳风电。首先，基于风速实时数据和4 h风速预测曲线以及负荷预测曲线，采用超前控制确定储能系统在一天内各时刻的充放电状态；然后，考虑储能系统的实时荷电状态和风电上网分时电价，以储能系统效益最大为目标，基于模糊控制确定储能系统的充放电功率，避免储能系统过充过放；最后，综合考虑储能系统消纳风电产生的电量效益、环境效益、调峰效益以及储能系统自身的设备投资成本和维护成本，以储能系统年净收益率和弃风消纳率为指标对所提策略进行评估。以东北某省的风电场群实际数据为例进行仿真分析，验证了所提策略的有效性。 |
| 关键词: 风电场群 储能系统 超前控制 模糊控制 实时荷电状态 风能利用水平 |
| DOI：10.16081/j.epae.202110021 |
| 分类号:TM614;TM73 |
| 基金项目:中央引导地方科技发展资金吉林省重点实验室基础研究专项(202002005JC) |
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| Control strategy of energy storage system in wind farm group to improve wind energy utilization level |
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LI Junhui1, YUE Pengcheng1, LI Cuiping1, GE Changxing2, ZHANG Jiahui3
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1.Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education(Northeast Electric Power University),Jilin 132012, China;2.Changchun Power Supply Company of State Grid Jilin Electric Power Co.,Ltd.,Changchun 130021, China;3.State Grid Zhejiang Pinghu City Electric Power Supply Company, Pinghu 314200, China
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| Abstract: |
| Due to the intermittent and volatility characteristics of wind power and the significant increase in the proportion of wind power installed capacity, the power grid’s ability to accept wind power is restricted by various factors. In order to improve the wind energy utilization level, a charging and discharging strategy of energy storage system is proposed from the perspective of wind farm group to absorb wind power. Firstly, based on the real-time wind speed data, 4-hour wind speed prediction curve and load prediction curve, advanced control is adopted to determine the charging and discharging state of energy storage system at each time in a day. Then, considering the real-time state of charge of energy storage system and the time-of-use electricity price of grid-connected wind power, the charging and discharging power of energy storage system is determined based on fuzzy control to maximize the benefit of energy storage system, so as to avoid over-charging and over-discharging of the energy storage system. Finally, comprehensively considering the electricity benefit, environmental benefit and peak-shaving benefit generated by the energy storage system from absorbing wind power, as well as the equipment investment cost and maintenance cost of energy storage system itself, the proposed strategy is evaluated by taking the annual net return rate of energy storage system and abandon wind absorption rate as the evaluation indexes. The actual data of a wind farm group in a northeastern province is simulated and analyzed to verify the effectiveness of the proposed strategy. |
| Key words: wind farm group energy storage system advanced control fuzzy control real-time state of charge wind energy utilization level |
