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蚁群优化算法
计算机科学
数学优化
网格
能源管理
算法
能源管理系统
元启发式
经济调度
可再生能源
能量(信号处理)
工程类
粒子群优化
电力系统
数学
电气工程
功率(物理)
统计
物理
几何学
量子力学
作者
Toshi Mandloi,S. K. Sharma,S.C. Choube
标识
DOI:10.1080/15567036.2023.2207498
摘要
An energy management in micro grid portrays a significant role in coordinating the generation with the load demand and it is characterized as an optimization problem evaluated for economic dispatch (ED). In microgrid, energy management issues have thus far primarily been addressed with the purpose of lowering the operational costs. However, for a microgrid system to manage energy effectively, the environmental problems, or issues regarding emission must be addressed. In this research work, a novel metaheuristic approach, known as farmland fertility algorithm (FFA) is proposed for obtaining ED and integrated economic emission dispatch (IEED). The different test cases for ED and IEED are considered to minimize the fuel and the emission cost respectively. For the different cases contemplated for ED and IEED, the generation cost reduces after the inclusion of RES, and also in the case when wind energy source is included alone. These results depict that the ED and IEED perform using FFA achieves a cost optimization of 9.2% and 19.51% respectively. The ED and IEED with FFA offer more cost saving and provides reduced emission in comparison to reduced gradient method (RGM), ant colony optimization (ACO), cuckoo search algorithm (CSA), interior search algorithm (ISA), Bat algorithm (BA) and directional bat algorithm (dBA).
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