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| 多微电网系统中混合共享储能的容量配置和优化调度策略 |
| Capacity Allocation and Optimal Scheduling Strategy for Hybrid Shared Energy Storage in Multi-Microgrid Systems |
| 投稿时间：2025-07-30 修订日期：2025-10-17 |
| DOI： |
| 中文关键词: 共享储能 主从博弈 微电网群协同优化 点对点交易 多市场耦合 |
| 英文关键词: shared energy storage master-slave game collaborative optimization of microgrid groups P2P multi market coupling |
| 基金项目:国家重点研发计划（2022YFE0206800） |
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| 摘要点击次数: 14 |
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| 中文摘要: |
| 多微电网系统中可再生能源渗透率提高导致运行波动性与经济性挑战突出，单一类型独立储能难以兼顾功率与能量双重需求。为此，本文提出混合共享储能架构，并建立基于主从-纳什混合博弈理论的双层协同优化模型，融合点对点电能交易与共享储能代理交易机制。上层以储能容量配置成本最小为目标，下层以多微电网运行成本最优为目标，并采用结合Gurobi与改进差分进化算法的双层混合迭代方法求解。仿真表明，所提策略显著提升系统经济性与可再生能源消纳能力，有效协调多点对点交易与共享储能调度，为多市场环境下微电网群协同优化提供新途径。 |
| 英文摘要: |
| In multi-microgrid systems, the increasing penetration of renewable energy has led to significant operational volatility and economic challenges. Standalone single-type energy storage struggles to meet both power and energy demands simultaneously. To address this, a hybrid shared energy storage architecture is proposed, along with a bi-level collaborative optimization model based on Master-Slave-Nash hybrid game theory, integrating peer-to-peer electricity trading and shared energy storage agent mechanisms. The upper level aims to minimize energy storage capacity configuration costs, while the lower level optimizes multi-microgrid operational costs. A dual-layer hybrid iterative solution method combining Gurobi with an improved differential evolution algorithm is employed. Simulations demonstrate that the proposed strategy significantly enhances system economics and renewable energy integration capacity, effectively coordinates multi-peer-to-peer transactions and shared storage scheduling, and offers a new pathway for collaborative optimization of microgrid clusters in multi-market environments. |
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