scholarly journals The Optimization of Microgrids Operation through a Heuristic Energy Management Algorithm

2013 ◽  
Vol 8-9 ◽  
pp. 185-194 ◽  
Author(s):  
Bogdan Tomoiaga ◽  
Mircea D. Chindris ◽  
Andreas Sumper ◽  
Mousa Marzband
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Unit Commitment ◽  
Storage Systems ◽  
Storage System ◽  
Management Systems ◽  
Time Interval ◽  
Management Problem ◽  
Energy Storage Systems ◽  
Energy Management Systems

The concept of microgrid was first introduced in 2001 as a solution for reliable integration of distributed generation and for harnessing their multiple advantages. Specific control and energy management systems must be designed for the microgrid operation in order to ensure reliable, secure and economical operation; either in grid-connected or stand-alone operating mode. The problem of energy management in microgrids consists of finding the optimal or near optimal unit commitment and dispatch of the available sources and energy storage systems so that certain selected criteria are achieved. In most cases, energy management problem do not satisfy the Bellman's principle of optimality because of the energy storage systems. Consequently, in this paper, an original fast heuristic algorithm for the energy management on stand-alone microgrids, which avoids wastage of the existing renewable potential at each time interval, is presented. A typical test microgrid has been analysed in order to demonstrate the accuracy and the promptness of the proposed algorithm. The obtained cost of energy is low (the quality of the solution is high), the primary adjustment reserve is correspondingly assured by the energy storage system and the execution runtime is very short (a fast algorithm). Furthermore, the proposed algorithm can be used for real-time energy management systems.

scholarly journals Review of Energy Storage and Energy Management System Control Strategies in Microgrids

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4929
Author(s):  
Gaurav Chaudhary ◽  
Jacob J. Lamb ◽  
Odne S. Burheim ◽  
Bjørn Austbø
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Storage Systems ◽  
Energy System ◽  
Management Systems ◽  
System Control ◽  
Distributed Energy ◽  
Energy Storage Systems ◽  
Discrete Energy ◽  
Energy Management Systems

A microgrid (MG) is a discrete energy system consisting of an interconnection of distributed energy sources and loads capable of operating in parallel with or independently from the main power grid. The microgrid concept integrated with renewable energy generation and energy storage systems has gained significant interest recently, triggered by increasing demand for clean, efficient, secure, reliable and sustainable heat and electricity. However, the concept of efficient integration of energy storage systems faces many challenges (e.g., charging, discharging, safety, size, cost, reliability and overall management). Additionally, proper implementation and justification of these technologies in MGs cannot be done without energy management systems, which control various aspects of power management and operation of energy storage systems in microgrids. This review discusses different energy storage technologies that can have high penetration and integration in microgrids. Moreover, their working operations and characteristics are discussed. An overview of the controls of energy management systems for microgrids with distributed energy storage systems is also included in the scope of this review.

scholarly journals Analysis of Different Energy Storage Technologies for Microgrids Energy Management

2020 ◽  
Vol 173 ◽  
pp. 03004
Author(s):  
Darío Benavides ◽  
Paúl Arévalo ◽  
Luis G. Gonzalez ◽  
José A. Aguado
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Storage Systems ◽  
Storage System ◽  
Lithium Ion ◽  
Operating Conditions ◽  
Energy Storage Systems ◽  
Efficiency Performance ◽  
Storage Technologies ◽  
Different Levels

The importance of energy storage systems is increasing in microgrids energy management. In this study, an analysis is carried out for different types of energy storage technologies commonly used in the energy storage systems of a microgrid, such as: lead acid batteries, lithium ion batteries, redox vanadium flux batteries and supercapacitors. In this work, it is analyzed the process of charging and discharging (slow and fast) in these systems, the calculation of energy efficiency, performance and energy supplied under different load levels, in its normal operating conditions and installed power capacity is developed. The results allow us to choose the optimal conditions of charge and discharge at different levels of reference power, analyzing the strengths and weaknesses of the characteristics of each storage system within a microgrid.

Modeling an Energy Storage System Based on a Hybrid Renewable Energy System in Stand-alone Applications

2017 ◽  
Vol 68 (11) ◽  
pp. 2641-2645
Author(s):  
Alexandru Ciocan ◽  
Ovidiu Mihai Balan ◽  
Mihaela Ramona Buga ◽  
Tudor Prisecaru ◽  
Mohand Tazerout
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Storage Systems ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Compressed Air ◽  
Energy Sources ◽  
Energy Storage Systems ◽  
Hybrid Renewable Energy System

The current paper presents an energy storage system that stores the excessive energy, provided by a hybrid system of renewable energy sources, in the form of compressed air and thermal heat. Using energy storage systems together with renewable energy sources represents a major challenge that could ensure the transition to a viable economic future and a decarbonized economy. Thermodynamic calculations are conducted to investigate the performance of such systems by using Matlab simulation tools. The results indicate the values of primary and global efficiencies for various operating scenarios for the energy storage systems which use compressed air as medium storage, and shows that these could be very effective systems, proving the possibility to supply to the final user three types of energy: electricity, heat and cold function of his needs.

Fuzzy Controller for Energy management and SoC Equalization for DC Microgrids Powered by Fuel Cell and Energy Storage Systems

2021 ◽  
pp. 1-1
Author(s):  
Thales Augusto Fagundes ◽  
Guilherme Henrique Favaro Fuzato ◽  
Plinio Goncalves Bueno Ferreira ◽  
Mauricio Biczkowski ◽  
Ricardo Quadros Quadros Machado
Keyword(s):  
Energy Storage ◽  
Fuel Cell ◽  
Energy Management ◽  
Fuzzy Controller ◽  
Storage Systems ◽  
Energy Storage Systems ◽  
Dc Microgrids

scholarly journals A Predictive Control Strategy for Energy Management in Micro-Grid Systems

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1666
Author(s):  
Abdellatif Elmouatamid ◽  
Radouane Ouladsine ◽  
Mohamed Bakhouya ◽  
Najib El kamoun ◽  
Khalid Zine-Dine
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Predictive Control ◽  
Energy Production ◽  
Storage Systems ◽  
Control Strategies ◽  
Renewable Energy Sources ◽  
Energy Storage Systems ◽  
Control Approach ◽  
Variable Nature

The integration of renewable energy sources (RES) was amplified, during the past decades, in order to tackle the challenges related to energy demands and CO2 increases. Recently, many initiatives have been taken by promoting the deployment and the usage of micro-grids (MG) in buildings, as decentralized systems, for energy production. However, the variable nature of RESs and the limited size of energy storage systems require the deployment of adaptive control strategies for efficient energy balance. In this paper, a generalized predictive control (GPC) strategy is introduced for energy management (EM) in MG systems. Its main objective is to efficiently connect the electricity generators and consumers in order to predict the most suitable actions for energy flow management. In fact, based on energy production and consumption profiles as well as the availability of energy storage systems, the proposed EM will be able to select the best suitable energy source for supplying the building’s loads. It will efficiently manage the usage of energy storage and the utility grid while maximizing RESs power generation. Simulations have been conducted, using real-sitting scenarios, and results are presented to validate the proposed predictive control approach by showing its effectiveness for MG systems control.

An idea for students project work: Energy management in hybridization of energy sources for transportation application

2018 ◽  
Vol 57 (3) ◽  
pp. 253-271 ◽  
Author(s):  
A Geetha ◽  
C Subramani
Keyword(s):  
Fuzzy Logic ◽  
Energy Storage ◽  
Electric Vehicle ◽  
Energy Management ◽  
Storage Systems ◽  
Project Work ◽  
Specific Power ◽  
Energy Sources ◽  
Energy Storage Systems ◽  
Time Problem

The study of electric vehicle and its energy sources are being incorporated in undergraduate and postgraduate syllabuses. This article discusses the basic concepts and design of energy storage systems for electricity based transpiration application. The content of this work elaborates the importance of energy storage systems in electric vehicle and hybridization of energy storage systems i.e. battery and ultracapacitor, which seems to be a promising topic among the final-year project students as well as an emerging research topic among the research scholars worldwide. Hence, this article is prepared in order to trigger those students’ knowledge in multisourced electric vehicle in depth. This study highly focuses on fuzzy logic-based energy sources power split strategy for a multisourced electric vehicle to enhance a better sharing of energy across the multisources with distinct characteristics like high specific power (ultracapacitor) and high specific energy (battery). In general, fuzzy logic controller best suits for a complicated real-time problem. Further it does not require a priori knowledge of a vehicle driving pattern over a time. Hence, the proposed control strategy can provide a satisfactory improvement in vehicle efficiency, assured reduction in stress factor, and energy consumption rate and reduced ultracapacitor sources state of charge difference in all different hybridization topologies. Thus, this paper can help students working on energy management problems of hybridization of energy sources.

Sign in / Sign up

Export Citation Format

Share Document