Multi-Objective Energy Management of a Micro-Grid Considering Stochastic Nature of Load and Renewable Energy Resources

被引：58
作者：
Ahmed, Deyaa [1 ]
Ebeed, Mohamed [2 ]
Ali, Abdelfatah [3 ]
Alghamdi, Ali S. [4 ]
Kamel, Salah [5 ]
机构：
[1] Holding Co Water & Wastewater HCWW, Aswan 81542, Egypt
[2] Sohag Univ, Dept Elect Engn, Fac Engn, Sohag 82524, Egypt
[3] South Valley Univ, Dept Elect Engn, Fac Engn, Qena 83523, Egypt
[4] Majmaah Univ, Dept Elect Engn, Coll Engn, Almajmaah 11952, Saudi Arabia
[5] Aswan Univ, Dept Elect Engn, Fac Engn, Aswan 81542, Egypt
来源：
ELECTRONICS | 2021年 / 10卷 / 04期
关键词：
energy management; micro-grid; stochastic nature; renewable energy resources; equilibrium optimizer; OPTIMIZATION ALGORITHM; DISTRIBUTION NETWORKS; DISTRIBUTION-SYSTEMS; NEURAL-NETWORK; GENERATION; POWER; WIND; STANDALONE; PLACEMENT; AVERAGE;
D O I：
10.3390/electronics10040403
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Optimal inclusion of a photovoltaic system and wind energy resources in electrical grids is a strenuous task due to the continuous variation of their output powers and stochastic nature. Thus, it is mandatory to consider the variations of the Renewable energy resources (RERs) for efficient energy management in the electric system. The aim of the paper is to solve the energy management of a micro-grid (MG) connected to the main power system considering the variations of load demand, photovoltaic (PV), and wind turbine (WT) under deterministic and probabilistic conditions. The energy management problem is solved using an efficient algorithm, namely equilibrium optimizer (EO), for a multi-objective function which includes cost minimization, voltage profile improvement, and voltage stability improvement. The simulation results reveal that the optimal installation of a grid-connected PV unit and WT can considerably reduce the total cost and enhance system performance. In addition to that, EO is superior to both whale optimization algorithm (WOA) and sine cosine algorithm (SCA) in terms of the reported objective function.
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页码：1 / 22
页数：22
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