可再生能源2023，Vol.41Issue(12)：1634-1641,8.
考虑峰谷分时电价的风储联合发电系统跟踪风电计划出力控制策略
Tracking wind power planned output control strategy of wind storage combined power generation system considering peak-valley time-of-use electricity prices
摘要
Abstract
The Battery Energy Storage System(BESS)demonstrates efficacy in enhancing the precision of wind farm response scheduling.This paper introduces a strategy that employs model predictive control(MPC)and a two-layer fuzzy control approach to augment BESS's capacity to adhere to planned wind power output,thereby boosting its profitability.Initially,an objective function is devised using the MPC method,aimed at minimising discrepancies between grid-connected power and planned power,and between the residual capacity of the energy storage system and its ideal value.Subsequently,the real-time state of charge(SOC)of BESS is amalgamated with the dynamic tracking requirement of wind power's planned value.The first layer of fuzzy control rules is introduced to adjust the weighting coefficients in the objective function in real time,ensuring optimal tracking effect.Concurrently,to increase BESS's profitability,the second layer of fuzzy control rules is implemented to adjust the BESS's charging and discharging power by correlating the SOC with peak-to-valley time-sharing tariffs.The proposed control strategy is authenticated through an experimental platform of the wind storage co-generation system.Simulation outcomes indicate that the proposed strategy,in comparison to traditional MPC methods,yields favourable peak-valley arbitrage gains while enhancing the wind-storage system's adherence to planned output and preventing BESS overrun.关键词
风储联合发电/跟踪计划出力/模型预测控制/双层模糊控制/峰谷分时电价Key words
combined wind storage power generation/tracking planned output/model predictive control/two-layer fuzzy control/peak-valley time of use price分类
能源科技引用本文复制引用
彭丽,罗隆福,阳同光,杨京渝,陈长青..考虑峰谷分时电价的风储联合发电系统跟踪风电计划出力控制策略[J].可再生能源,2023,41(12):1634-1641,8.基金项目
湖南省科技重大专项(2020GK1013) （2020GK1013）
湖南省自然科学基金项目(2023JJ50344) （2023JJ50344）
湖南省社会科学成果评审委员会项目(XSP2023JJC012). （XSP2023JJC012）
