Distributed robust optimal configuration of multi-microgrid interconnected systems based on multi-objective bee colony algorithm

Dan Yu, Jun Wu, Yongling He
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Abstract

The distributed robust optimal allocation method for multi-microgrid interconnected systems usually involves a large number of variables and constraints, and the computational complexity is high in practical applications, which makes it difficult to solve the problem. Therefore, a distributed robust optimal allocation method for multi-microgrid interconnection systems based on multi-objective swarm algorithm is proposed. A distributed robust optimization configuration constraint index model for multi-microgrid interconnection system is established. Considering the influence of energy storage technology operation characteristics on its service life, a micro-grid hybrid energy storage capacity optimization configuration model with the minimum annual comprehensive energy storage cost as the objective function is established with charge and discharge power and residual power as the constraint conditions. The multi-objective swarm algorithm is used to realize the optimization model of distributed robust configuration microgrid interconnection system. By determining the power capacity configuration of the optimal energy storage system and the corresponding frequency dividing points, the power capacity configuration of the optimal energy storage system and the corresponding frequency dividing points are determined. The hybrid energy storage configuration model of multi-microgrid interconnection system is established with the minimum alternative operating cost as the objective function, so as to realize the distributed robust optimal configuration of multi-microgrid interconnection system. The simulation results show that the distributed configuration of multi-microgrid interconnection system with the proposed method has good robustness and strong optimization control ability.
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基于多目标蜂群算法的多微网互联系统分布式鲁棒优化配置
多微网互联系统分布式鲁棒优化分配方法通常涉及大量变量和约束条件,在实际应用中计算复杂度较高,给问题求解带来困难。因此,提出了一种基于多目标蜂群算法的多微网互联系统分布式鲁棒优化配置方法。建立了多微网互联系统分布式鲁棒优化配置约束指标模型。考虑到储能技术运行特性对其使用寿命的影响,以充放电功率和剩余电量为约束条件,建立了以年综合储能成本最小为目标函数的微网混合储能容量优化配置模型。采用多目标蜂群算法实现分布式鲁棒配置微电网互联系统优化模型。通过确定最优储能系统的功率容量配置和相应的分频点,确定最优储能系统的功率容量配置和相应的分频点。以最小替代运行成本为目标函数,建立多微电网互联系统混合储能配置模型,实现多微电网互联系统分布式鲁棒优化配置。仿真结果表明,采用所提方法的多微网互联系统分布式配置具有良好的鲁棒性和较强的优化控制能力。
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