| 任曼曼,梁肖,施壮,陈天宇.风电场群共享储能联合参与一次调频的容量分配方法[J].电力需求侧管理,2026,28(1):126-130 |
| 风电场群共享储能联合参与一次调频的容量分配方法 |
| Capacity allocation method for wind farm cluster shared energy storage and joint participation in primary frequency regulation |
| 投稿时间：2025-08-25 修订日期：2025-09-29 |
| DOI：10.3969/j.issn.1009-1831.2026.01.018 |
| 中文关键词: 共享储能 风电场群 频率调节 长短期记忆神经网络 粒子群算法 |
| 英文关键词: shared energy storage wind farm clusters frequency regulation long short-term memory neural network particle swarm optimization |
| 基金项目:国网安徽省电力有限公司科技项目(521200230003) |
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| 中文摘要: |
| 针对共享储能为风电场群提供调频辅助服务时的容量分配问题,提出一种融合发电预测与优化调度的储能容量动态分配方法。首先借助长短期记忆神经网络(long short-term memory,LSTM)对风电场实时发电功率进行高精度预测,继而构建以共享储能与风电场群整体收益最大化为目标的容量优化模型。模型中引入风电场群共享储能的荷电状态(state of charge,SOC)动态平衡约束,并采用粒子群算法(particle swarm optimization,PSO)对容量分配方案进行全局优化,实现共享储能资源在风电场间的按需动态调配。典型算例验证表明,该方法在提升储能系统利用效率、维持共享储能荷电状态稳定性方面优势显著。与传统均分策略相比,所提策略可显著增强风电场群在调频服务中的响应能力与经济效益。 |
| 英文摘要: |
| To address the capacity allocation issue in frequency modulation auxiliary services provided by shared energy storage for wind farm clusters, a dynamic energy storage capacity allocation method integrating power generation prediction and optimal scheduling is proposed. First, a long short-term memory neural network (LSTM) is used to achieve high-precision prediction of the real-time power generation of wind farm, and then constructs a capacity optimization model with the goal of maximizing the overall revenue of shared energy storage and wind farm clusters. A dynamic balance constraint on the state of charge (SOC) of shared energy storage in wind farm clusters is introduced into the model, and a particle swarm optimization (PSO) algorithm is adopted to globally optimize the capacity allocation scheme, realizing the on-demand dynamic allocation of shared energy storage resources among wind farm clusters. Typical case studies verify that the method has significant advantages in improving the utilization efficiency of energy storage systems and maintaining the stability of the SOC of shared energy storage. Compared with the traditional equal distribution strategy, the proposed strategy can significantly enhance the response capability and economic benefits of wind farm cluster in frequency modulation services. |
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