Two-layer cascaded fuzzy control strategy of battery energy storage system for wind power smoothing and var/voltage control of wind farms

IF 8.9 2区 工程技术 Q1 ENERGY & FUELS
Hao Yang , Zhenhan Song , Zhenglong Sun , Xiaohan Shi , Jian Chen , Wenfei Yi
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Abstract

To address the issues of wind farm power fluctuations and voltage limit violations at the point of common coupling (PCC), this paper proposes a two-layer cascaded fuzzy control strategy of battery energy storage systems (BESS) for active power smoothing and var/voltage regulation of wind farms by dispatching the active and reactive power of BESS optimally. The cascaded control structure consists of power smoothing layer and voltage regulation layer. At the power smoothing layer, an improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) is employed to decompose and reconstruct wind power, determining the initial active power command for BESS. Considering the current state of charge (SOC) of the BESS, a fuzzy control method is designed and applied to further modify the BESS power command, preventing insufficient response capability caused by excessive charging or discharging. At the voltage regulation layer, taking into account the total active power of the wind-storage system and voltage violations at the PCC, a fuzzy control method is developed and used to regulate the BESS reactive power, effectively managing voltage violations at the PCC of wind farms. To comprehensively consider wind farm control requirements and BESS dispatch capability, optimization models for control parameters are proposed and solved to tune the membership function parameters of the two fuzzy control model. Simulation results demonstrate the proposed control strategy can meet the requirements for wind power smoothing and PCC voltage regulation, and effectively reduce BESS active power regulation and improve BESS SOC state. Additionally, it can effectively reduce the BESS reactive power output and enhance BESS var/voltage control capability.
用于风电平滑和风电场无功/电压控制的蓄电池储能系统双层级联模糊控制策略
针对风电场功率波动和共耦合点电压限值超标的问题,提出了一种双层级联模糊控制策略,通过对电池储能系统的有功和无功进行最优调度,实现风电场有功平滑和无功/电压调节。级联控制结构由功率平滑层和电压调节层组成。在功率平滑层,采用改进的带自适应噪声的全系综经验模态分解(ICEEMDAN)对风电进行分解重构,确定BESS的初始有功功率指令。针对电池储能系统的荷电状态,设计并应用模糊控制方法对电池储能系统的功率指令进行进一步修改,防止电池储能系统因过度充放电而导致响应能力不足。在电压调节层,考虑到风电系统的总有功功率和PCC电压违例情况,提出了模糊控制方法对BESS无功功率进行调节,有效地管理了风电场的PCC电压违例情况。为综合考虑风电场控制需求和BESS调度能力,提出并求解了控制参数优化模型,对两种模糊控制模型的隶属函数参数进行了整定。仿真结果表明,所提出的控制策略能够满足风电平滑和PCC电压调节的要求,有效降低了BESS有功功率调节,改善了BESS SOC状态。有效降低BESS无功输出,增强BESS无功/电压控制能力。
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来源期刊
Journal of energy storage
Journal of energy storage Energy-Renewable Energy, Sustainability and the Environment
CiteScore
11.80
自引率
24.50%
发文量
2262
审稿时长
69 days
期刊介绍: Journal of energy storage focusses on all aspects of energy storage, in particular systems integration, electric grid integration, modelling and analysis, novel energy storage technologies, sizing and management strategies, business models for operation of storage systems and energy storage developments worldwide.
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