
Optimal Energy Management Strategy for a DC Linked Hydro–PV–Wind Renewable Energy System for Hydroelectric Power Generation Optimization
Author(s) -
Adel A. A. El-Gammal,
Curtis Boodoo
Publication year - 2021
Publication title -
european journal of energy research
Language(s) - English
Resource type - Journals
ISSN - 2736-5506
DOI - 10.24018/ejenergy.2021.1.3.16
Subject(s) - intermittent energy source , wind power , renewable energy , automotive engineering , pumped storage hydroelectricity , microgrid , energy management , photovoltaic system , energy storage , computer science , grid energy storage , distributed generation , diesel generator , engineering , power (physics) , electrical engineering , energy (signal processing) , diesel fuel , quantum mechanics , statistics , physics , mathematics
The goal of this article is to create an intelligent energy management system that will control the stand-alone microgrid and power flow of a grid associated that includes Battery Energy Storage System, Fuel Cell, Wind Turbine, Diesel Generator, Photovoltaic, and a Hydro Power Plant. Storage systems are required for high dependability, while control systems are required for the system's optimum and steady functioning. The control, operation, and planning of both energy demand and production are all part of energy management. By controlling unpredictable power and providing an appropriate control algorithm for the entire system, the suggested energy management strategy is designed to handle diverse variations in power demand and supply. Under the TOU Tariff, the problem is presented as a discrete time multi-objective optimization method to minimize grid imported energy costs. It also maximizes earnings from surplus RE sales to the grid at a pre-determined RE feed-in tariff. Simulations were run using SIMULINK/MATLAB to validate and evaluate the suggested energy management approach under various power demand and power supply scenarios. The simulations indicate that the proposed energy management can fulfill demand at all times utilizing unreliable renewables like wind, solar, and hydroelectric power plants, as well as hydrogen fuel cells and batteries, without affecting load supply or power quality.