scholarly journals A Novel Hierarchical Energy Management System Based on Optimization for Multi-Microgrid

2020 ◽  
Vol 12 (3) ◽  
pp. 586-606
Author(s):  
Bilal Naji Alhasnawi ◽  
◽  
Basil H. Jasim Jasim ◽  
Keyword(s):  
Energy Management ◽  
Management System ◽  
Energy Demand ◽  
Role Model ◽  
Average Rate ◽  
Cost Savings ◽  
Energy Resources ◽  
Energy Management System ◽  
Suggested Approach ◽  
Point Tracking

The microgrid vision has come to incorporate various communication technologies, which facilitate residential users to adopt different scheduling schemes in order to manage energy usage with reduced carbon emission. Through this study, we have introduced a novel method for residential load control with energy resources integrated. To this end, an input and optimization algorithm has been employed to control and schedule residential charges for cost savings, consumer inconvenience, and peak-to-average rate savings (PAR) purposes, including real-time electricity costs, energy demand, user expectations, and renewable energy parameters. This paper also provides a Maximum Power Point Tracking (MPPT) technique used to obtain full power from a hybrid power system during the variation of environmental conditions in both photovoltaic stations and batteries. An IEEE 14 bus program was considered to determine the efficiency of the proposed algorithm. This research also aims at developing the role model to determine the behaviors, as a result of a shift in the opening Protocol to the disconnect establishing the power generation island, of distributed energy resources on 14-node IEEE networks. The micro-grid is a simple case for the study of energy flow and smart grid efficiencyvariables and has dispersed tools. The findings show that the energy management system loadcollection using the suggested approach improves performance and decreases losses in contrast to previous approaches.

Energy Management System for Hybrid Microgrids

2021 ◽  
Vol 69 (2) ◽  
pp. 21-30
Author(s):  
Nasreddine ATTOU ◽  
Sid-Ahmed ZIDI ◽  
Mohamed KHATIR ◽  
Samir HADJERI
Keyword(s):  
Energy Management ◽  
Electricity Market ◽  
Management System ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Supply And Demand ◽  
Energy Sources ◽  
Variable Load ◽  
Energy Management System ◽  
Price Variation

Energy management in grid-connected Micro-grids (MG) has undergone rapid evolution in recent times due to several factors such as environmental issues, increasing energy demand and the opening of the electricity market. The Energy Management System (EMS) allows the optimal scheduling of energy resources and energy storage systems in MG in order to maintain the balance between supply and demand at low cost. The aim is to minimize peaks and fluctuations in the load and production profile on the one hand, and, on the other hand, to make the most of renewable energy sources and energy exchanges with the utility grid. In this paper, our attention has been focused on a Rule-based energy management system (RB EMS) applied to a residential multi-source grid-connected MG. A Microgrid model has been implemented that combines distributed energy sources (PV, WT, BESS), a number of EVs equipped with the Vehicle to Grid technology (V2G) and variable load. Different operational scenarios were developed to see the behaviour of the implemented management system during the day, including the random demand profile of EV users, the variation in load and production, grid electricity price variation. The simulation results presented in this paper demonstrate the efficacy of the suggested EMS and confirm the strategy's feasibility as well as its ability to properly share power among different sources, loads and vehicles by obeying constraints on each element.

scholarly journals Modeling and Optimization of Smart Building Energy Management System Considering Both Electrical and Thermal Load

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 574
Author(s):  
Muhammad Hilal Khan ◽  
Azzam Ul Asar ◽  
Nasim Ullah ◽  
Fahad R. Albogamy ◽  
Muhammad Kashif Rafique
Keyword(s):  
Energy Management ◽  
Management System ◽  
Energy Demand ◽  
Storage System ◽  
Building Energy ◽  
Energy Management System ◽  
Smart Building ◽  
Building Energy Management ◽  
Real Coded Genetic Algorithm ◽  
The Impact

Energy consumption in buildings is expected to increase by 40% over the next 20 years. Electricity remains the largest source of energy used by buildings, and the demand for it is growing. Building energy improvement strategies is needed to mitigate the impact of growing energy demand. Introducing a smart energy management system in buildings is an ambitious yet increasingly achievable goal that is gaining momentum across geographic regions and corporate markets in the world due to its potential in saving energy costs consumed by the buildings. This paper presents a Smart Building Energy Management system (SBEMS), which is connected to a bidirectional power network. The smart building has both thermal and electrical power loops. Renewable energy from wind and photo-voltaic, battery storage system, auxiliary boiler, a fuel cell-based combined heat and power system, heat sharing from neighboring buildings, and heat storage tank are among the main components of the smart building. A constraint optimization model has been developed for the proposed SBEMS and the state-of-the-art real coded genetic algorithm is used to solve the optimization problem. The main characteristics of the proposed SBEMS are emphasized through eight simulation cases, taking into account the various configurations of the smart building components. In addition, EV charging is also scheduled and the outcomes are compared to the unscheduled mode of charging which shows that scheduling of Electric Vehicle charging further enhances the cost-effectiveness of smart building operation.

Adaptive Energy Management System for Smart Hybrid Microgrids

2020 ◽  
Vol sceeer (3d) ◽  
pp. 73-85 ◽  
Author(s):  
Bilal Alhasnawi ◽  
Basil Jasim
Keyword(s):  
Energy Management ◽  
Management System ◽  
Maximum Power ◽  
Energy Management System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Home Energy Management ◽  
Power Point ◽  
Home Energy Management System

The energy management will play an important role in the future smart grid by managing loads in an intelligent way. Energy management programs, realized via House Energy Management systems (HEMS) for smart cities, provide many benefits; consumers enjoy electricity price savings, and utility operates at reduced peak demand. This paper proposed an adaptive energy management system for islanded mode and grid-connected mode. In this paper, a hybrid system that includes distribution electric grid, photovoltaics, and batteries are employed as energy sources in the residential of the consumer in order to meet the demand. The proposed system permits coordinated operation of distributed energy resources to concede necessary active power and additional service whenever required. This paper uses home energy management system which switches between the distributed energy and the grid power sources. The home energy management system incorporates controllers for maximum power point tracking, battery charge and discharge and inverter for effective control between different sources depending upon load requirement and availability of sources at maximum powerpoint. Also, in this paper, the Maximum Power Point Tracking (MPPT) technique is applied to the photovoltaic station to extract the maximum power from hybrid power system during variation of the environmental conditions. The operation strategy of energy storage systems is proposed to solve the power changes from photovoltaics and houses loads fluctuations locally, instead of reflecting those disturbances to the utility grid. Furthermore, the energy storage systems energy management scheme will help to achieve the peak reduction of the houses daily electrical load demand. The simulation results have verified the effectiveness and feasibility of the introduced strategy and the capability of the proposed controller for a hybrid microgrid operating in different modes.

scholarly journals Modeling and Simulation of a Control Algorithm for Home Energy Management System

2019 ◽  
Vol 8 (4S2) ◽  
pp. 396-399
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Management System ◽  
Distribution Systems ◽  
Fuzzy Logic Controller ◽  
Energy Resources ◽  
Energy Management System ◽  
Battery Energy Storage ◽  
Home Energy Management ◽  
Battery Energy

Microgrids are handy units for a utility since their units such as distributed energy resources (DER) and loads can able to control the power ingestion or production. Moreover, it is used to assimilate renewable energy resources (RES) to small distribution systems. Battery energy storage systems (BESSs) are employed to recompense the sporadic output of RES. Similarly, DC microgrid for a home can be excellently controlled by an energy management system (EMS) using fuzzy logic controller (FLC) of 25-rules alone to control the power flow. The system has photovoltaic (PV), Fuel Cell (FC) and battery energy storage (BES). This study aims to introduce firefly algorithm (FA) to optimize FLC in order to increase the system energy saving efficiency and to reduce the cost.

An Energy Management System for Isolated Microgrids With Thermal Energy Resources

2020 ◽  
Vol 11 (4) ◽  
pp. 2880-2891
Author(s):  
Walter Violante ◽  
Claudio A. Canizares ◽  
Michele A. Trovato ◽  
Giuseppe Forte
Keyword(s):  
Energy Management ◽  
Thermal Energy ◽  
Management System ◽  
Energy Resources ◽  
Energy Management System

scholarly journals Power Scheduling Scheme for DSM in Smart Homes with Photovoltaic and Energy Storage

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8571
Author(s):  
Sławomir Zator
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Management System ◽  
Energy Demand ◽  
Government Support ◽  
Photovoltaic System ◽  
Energy Management System ◽  
Home Energy Management ◽  
Home Energy Management System ◽  
The Impact

This article presents a case study of a single-family house with several photovoltaic micro-installations oriented in different directions, in which the energy electricity storage systems have been operating for several months. In the house, the heat source is the air–water heat pump cooperating with heat buffers. The first photovoltaic installation was installed in 2016 and, in the subsequent five years, was expanded using microinverters. The final amount of energy from photovoltaics covers 50% of the energy demand of the building. The procedure for dealing with technical and economic aspects was presented, allowing us to determine whether it is profitable to install energy storage in the given conditions of energy prices, equipment efficiency, and prices, as well as government support. This paper presents the effects of the designed and built home energy management system that supervises energy storage in heat and batteries, mainly through its impact on the self-consumption of energy from the photovoltaic system and on final costs. Comparative calculations were performed with the demand-side management, which dictated the instantaneous energy costs. Attention was paid to the possibility of obtaining a high self-consumption, but the economic calculations showed that it was not always beneficial. An annual self-consumption increased by approximately one-sixth upon installation of the electrical energy storage system and by one-third from the start of use of the home energy management system. Concurrently, by utilising energy storage in heat and batteries, almost 95% of energy was consumed in the cheapest multi-zone tariff. The impact of inverters and battery charging systems on the power grid is also presented. Often, when the active energy was nearing zero, the capacitive reactive energy was significant.

scholarly journals Energy Management Electronic Device for Islanded Microgrids Based on Renewable Energy Sources and Battery-based Energy Storage

2021 ◽  
Vol 41 (1) ◽  
pp. e83905
Author(s):  
Elkin Dario Granados Hernández ◽  
Nelson Leonardo Diaz Aldana ◽  
Adriana Carolina Luna Hernández
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Management System ◽  
Electronic Device ◽  
Renewable Energy Sources ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Energy Management System ◽  
Distributed Energy ◽  
Energy Management Strategy

Energy management systems are one of the most important components in the operation of an electric microgrid. They are responsible for ensuring the supervision of the electrical system, as well as the coordination and reliability of all loads and distributed energy resources in order for the microgrid to be operated as a unified entity. Because of that, an energy management system should be fast enough at processing data and defining control action to guarantee the correct performance of the microgrid. This paper explores the design and implementation of an energy management system deployed over a dedicated electronic device. The proposed energy management device coordinates the distributed energy resources and loads in a residential-scale islanded microgrid, in accordance with a rule-based energy management strategy that ensures reliable and safe operation of the battery-based energy storage system. A hardware-int-he-loop test was performed with a real-time simulation platform to show the operation of the electronic device

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