The coordinated control strategy of hybrid energy storage systems for power leveling in photovoltaic power stations

LUO Hairong; CAI Xiaoke; BAI Xingtao; ZHANG Qingping; ZHANG Wei

doi:10.3969/j.issn.1672-3643.2024.04.001

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The coordinated control strategy of hybrid energy storage systems for power leveling in photovoltaic power stations

更新时间：2026-06-27

- The coordinated control strategy of hybrid energy storage systems for power leveling in photovoltaic power stations
- Ningxia Electric Power Issue 4, (2024)
- 作者机构：
  
  1. 国网宁夏电力有限公司电力科学研究院,宁夏,银川,750011
  2. 国能宁夏灵武发电有限公司,宁夏,银川,751400
  3. 华北电力大学先进飞轮储能技术研究中心,北京,102206
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1672-3643.2024.04.001
  CLC：
- Online First：19 September 2024，
  
  Published：2024
- 稿件说明：
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LUO Hairong, CAI Xiaoke, BAI Xingtao, et al. The coordinated control strategy of hybrid energy storage systems for power leveling in photovoltaic power stations[J]. Ningxia Electric Power, 2024, (4).
DOI：

LUO Hairong, CAI Xiaoke, BAI Xingtao, et al. The coordinated control strategy of hybrid energy storage systems for power leveling in photovoltaic power stations[J]. Ningxia Electric Power, 2024, (4). DOI： 10.3969/j.issn.1672-3643.2024.04.001.

摘要

随着对可再生能源的需求日益增长，我国兴建了众多光伏电站，但光伏发电存在间歇性和波动性，需对其输出功率进行平抑，因此，提出一种混合储能系统协调控制策略。首先，建立飞轮以及锂电池模型，采用变分模态分解方法分解光伏电站输出功率，取得不同储能单元充放电指令，基于不同储能的响应时间，得到不同储能系统容量配置；其次，结合锂离子电池历史运行数据，构建锂离子电池寿命模型，以延长锂离子电池寿命为目标，采用粒子群滤波算法，提出一种混合储能系统协调控制策略；最后，通过某额定装机容量15 MW的光伏电站历史运行数据，仿真验证了本文所提混合储能系统控制策略的有效性。

Abstract

With the growing demand for renewable energy

China has built a multitude of photovoltaic(PV)power stations.However

due to the intermittency and volatility inherent in PV power generation

it is necessary to level its output power.This study begins by establishing models for both a flywheel and a lithium battery.Then

the output power of the PV station is decomposed using the variational mode decomposition(VMD)method to obtain charging and discharging commands for different energy storage units.Considering the response times of diverse energy storage systems

the study determines the capacity configurations for each system.Additionally

incorporating historical operational data from lithium-ion batteries

a longevity model for these batteries is devised to prolong their lifespan.A coordinated control strategy for the hybrid energy storage system is introduced using a particle swarm filtering algorithm.Finally

the efficacy of the proposed control strategy for hybrid energy storage systems is validated through simulation results based on historical operational data from a 15 MW-rated PV station.

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