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基于聚合优化的直流微电网二次控制

Aggregation Optimization-Based Secondary Control for DC Microgrids

作者 Qi-Fan Yuan · Yan-Wu Wang · Xiao-Kang Liu · Yunwei Li
期刊 IEEE Transactions on Sustainable Energy
出版日期 2025年7月
卷/期 第 17 卷 第 1 期
技术分类 控制与算法
技术标签 微电网 下垂控制 模型预测控制MPC 储能变流器PCS
相关度评分 ★★★★ 4.0 / 5.0
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中文摘要

本文提出一种面向直流微电网的聚合优化框架,构建含电压误差、电流分配误差、发电成本与线路损耗的加权目标函数,并设计基于双辅助变量的分布式二次控制器,可在固定时间内实现全局最优,兼顾电压调节、均流、经济运行。仿真与实验验证了其有效性。

English Abstract

To achieve control objectives of voltage regulation and current sharing and realize economic operation such as minimizing generation costs and line losses, in this paper, an aggregate optimization framework is established for DC microgrids and an objective function is constructed consisting of voltage error, current sharing error, generation cost and line loss, with flexible weights assigned to each items. A distributed secondary controller involving two auxiliary variables is proposed. The two auxiliary variables are designed to track two global signals within a fixed settling time by interacting with neighbors and evolving in a distributed manner. Theoretical analysis is provided to show that the optimal decision variables can be achieved and the global objective function can be minimized. At the optimal point, the controller not only guarantees voltage regulation and current sharing, but also ensures minimum generation costs and line losses. Numerical simulations and experimental tests are conducted to verify the effectiveness of the proposed controller and its advantage in global optimization.
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SunView 深度解读

该研究提出的分布式聚合优化二次控制算法可直接提升阳光电源ST系列PCS及PowerTitan储能系统在直流微网场景下的协同调控能力,尤其适用于光储直挂、多机并联的直流母线架构。算法支持动态权重配置,利于与iSolarCloud平台联动实现经济调度;建议在PowerStack直流耦合方案及海外微网项目中集成该控制策略,增强多源(光伏、储能、DC负载)协同优化能力。