PDF(Pubmed)
Abstract：
The energy management (EM) solution of the multi-microgrids (MMGs) is a crucial task to provide more flexibility, reliability, and economic benefits. However, the energy management (EM) of the MMGs became a complex and strenuous task with high penetration of renewable energy resources due to the stochastic nature of these resources along with the load fluctuations. In this regard, this paper aims to solve the EM problem of the MMGs with the optimal inclusion of photovoltaic (PV) systems, wind turbines (WTs), and biomass systems. In this regard, this paper proposed an enhanced Jellyfish Search Optimizer (EJSO) for solving the EM of MMGs for the 85-bus MMGS system to minimize the total cost, and the system performance improvement concurrently. The proposed algorithm is based on the Weibull Flight Motion (WFM) and the Fitness Distance Balance (FDB) mechanisms to tackle the stagnation problem of the conventional JSO technique. The performance of the EJSO is tested on standard and CEC 2019 benchmark functions and the obtained results are compared to optimization techniques. As per the obtained results, EJSO is a powerful method for solving the EM compared to other optimization method like Sand Cat Swarm Optimization (SCSO), Dandelion Optimizer (DO), Grey Wolf Optimizer (GWO), Whale Optimization Algorithm (WOA), and the standard Jellyfish Search Optimizer (JSO). The obtained results reveal that the EM solution by the suggested EJSO can reduce the cost by 44.75% while the system voltage profile and stability are enhanced by 40.8% and 10.56%, respectively.
摘要：
多微电网（MMGs）的能源管理（EM）解决方案是提供更多灵活性的关键任务，可靠性,和经济效益。然而,由于这些资源的随机性以及负载波动，MMGs的能源管理（EM）成为可再生能源高渗透率的复杂而艰巨的任务。在这方面,本文旨在解决光伏（PV）系统最优包含的MMGs的EM问题，风力涡轮机（WT），和生物质系统。在这方面,本文提出了一种增强型水母搜索优化器（EJSO），用于解决85总线MMGS系统的MMGs的EM，以最小化总成本，同时提高系统性能。所提出的算法基于Weibull飞行运动（WFM）和适应距离平衡（FDB）机制，以解决常规JSO技术的停滞问题。在标准和CEC2019基准测试函数上测试EJSO的性能，并将获得的结果与优化技术进行比较。根据获得的结果，与沙猫群优化（SCSO）等其他优化方法相比，EJSO是解决EM的强大方法，蒲公英优化器（DO），灰狼优化器（GWO），鲸鱼优化算法(WOA),和标准的水母搜索优化器（JSO）。结果表明，所提出的EJSO的EM解决方案可以降低成本44.75％，而系统电压分布和稳定性分别提高40.8％和10.56％，分别。
