scholarly journals A Comparison of Fuzzy-Based Energy Management Systems Adjusted by Nature-Inspired Algorithms

2021 ◽  
Vol 11 (4) ◽  
pp. 1663
Author(s):  
Diego Arcos-Aviles ◽  
Diego Pacheco ◽  
Daniela Pereira ◽  
Gabriel Garcia-Gutierrez ◽  
Enrique V. Carrera ◽  
...  
Keyword(s):  
Power Systems ◽  
Energy Management ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Cuckoo Search ◽  
Mixed Integer ◽  
Energy Sources ◽  
Power Profile ◽  
Utility Network ◽  
Nature Inspired Algorithms

The growing energy demand around the world has increased the usage of renewable energy sources (RES) such as photovoltaic and wind energies. The combination of traditional power systems and RESs has generated diverse problems due especially to the stochastic nature of RESs. Microgrids (MG) arise to address these types of problems and to increase the penetration of RES to the utility network. A microgrid includes an energy management system (EMS) to operate its components and energy sources efficiently. The objectives pursued by the EMS are usually economically related to minimizing the operating costs of the MG or maximizing its income. However, due to new regulations of the network operators, a new objective related to the minimization of power peaks and fluctuations in the power profile exchanged with the utility network has taken great interest in recent years. In this regard, EMSs based on off-line trained fuzzy logic control (FLC) have been proposed as an alternative approach to those based on on-line optimization mixed-integer linear (or nonlinear) programming to reduce computational efforts. However, the procedure to adjust the FLC parameters has been barely addressed. This parameter adjustment is an optimization problem itself that can be formulated in terms of a cost/objective function and is susceptible to being solved by metaheuristic nature-inspired algorithms. In particular, this paper evaluates a methodology for adjusting the FLC parameters of the EMS of a residential microgrid that aims to minimize the power peaks and fluctuations on the power profile exchanged with the utility network through two nature-inspired algorithms, namely particle swarm optimization and differential evolution. The methodology is based on the definition of a cost function to be optimized. Numerical simulations on a specific microgrid example are presented to compare and evaluate the performances of these algorithms, also including a comparison with other ones addressed in previous works such as the Cuckoo search approach. These simulations are further used to extract useful conclusions for the FLC parameters adjustment for off-line-trained EMS based designs.

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 State of the Art on Modeling and Optimization of Smart Electricity Networks

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Power Systems ◽  
Greenhouse Gas ◽  
Energy Demand ◽  
State Of The Art ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Improve Energy Efficiency ◽  
The World

The increase in population and industrialization has increased the consumption of electricity. Currently, it is impossible to live without electricity. Indeed, it is necessary for the economic, social and industrial progress in all the countries of the world. This is why we are always asked to develop all types of energy to produce clean and safe to improve energy efficiency. Indeed, the use of new renewable energy sources helps to mitigate greenhouse gas emissions and dependence on centralized energy sickles. The difficulties of renewable energy-based power systems lie in their production, which is not controllable and may not meet the increase in energy demand.

scholarly journals Household Energy Management

2021 ◽  
Vol 11 (4) ◽  
pp. 1626
Author(s):  
Piotr Powroźnik ◽  
Robert Szulim ◽  
Wiesław Miczulski ◽  
Krzysztof Piotrowski
Keyword(s):  
Power Systems ◽  
Energy Management ◽  
Distribution System ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Photovoltaic System ◽  
Peak Demand ◽  
Work Related ◽  
Management Algorithm

Ensuring flexibility and security in power systems requires the use of appropriate management measures on the demand side. The article presents the results of work related to energy management in households in which renewable energy sources (RES) can be installed. The main part of the article is about the developed elastic energy management algorithm (EEM), consisting of two algorithms, EEM1 and EEM2. The EEM1 algorithm is activated in time periods with a higher energy price. Its purpose is to reduce the power consumed by the appliances to the level defined by the consumer. In contrast, the EEM2 algorithm is run by the Distribution System Operator (DSO) when peak demand occurs. Its purpose is to reduce the power of appliances in a specified time period to the level defined by the DSO. The optimization tasks in both algorithms are based on the Greedy Randomized Adaptive Search Procedure (GRASP) metaheuristic algorithm. The EEM1 and EEM2 algorithms also provide energy consumer comfort. For this purpose, both algorithms take into account the smart appliance parameters proposed in the article: sections of the working devices, power reduction levels, priorities and enablingof time shifting devices. The EEM algorithm in its operation also takes into account the information about the production of power, e.g., generated by the photovoltaic systems. On this basis, it makes decisions on the control of smart appliances. The EEM algorithm also enables inverter control to limit the power transferred from the photovoltaic system to the energy system. Such action is taken on the basis of the DSO request containing the information on the power limits. Such a structure of EEM enables the balancing of energy demand and supply. The possibility of peak demand phenomenon will be reduced. The simulation and experiment results presented in the paper confirmed the rationality and effectiveness of the EEM algorithm.

scholarly journals Economic and environmental analysis of a hybrid solar, wind and pumped storage hydroelectric energy source: a Polish perspective

2017 ◽  
Vol 65 (6) ◽  
pp. 859-869 ◽  
Author(s):  
J. Jurasz ◽  
J. Mikulik
Keyword(s):  
Energy Source ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Rapid Development ◽  
Energy System ◽  
Mixed Integer ◽  
Energy Sources ◽  
Hydroelectric Energy ◽  
Solar Powered ◽  
Pumped Storage

AbstractThis paper introduces a mixed integer non-linear mathematical model for a simulation of a hybrid energy source consisting of photovoltaics (PV), wind turbines (WT) and pumped storage hydroelectricity (PSH). The concept of PV–WT–PSH has been well described and evaluated for sparsely populated or remote areas such as islands. Here, due to the rapid development of renewable energy sources and most importantly the variable (non-dispatchable) energy sources such as wind and solar, the idea of wind and solar powered PSHs has been investigated in the context of the national energy system. The economic and environmental impact of the proposed hybrid has been assessed. The results reveal that to cover almost 40% of the energy demand one should expect the energy cost to increase by 25%.

Energy management of stand-alone power systems with renewable energy sources

2006 ◽  
Vol 1 (04) ◽  
pp. 372-378
Author(s):  
S. D`Arco ◽  
R. Rizzo ◽  
D. Coll-Mayor ◽  
P. Tricoli
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Energy Management ◽  
Renewable Energy Sources ◽  
Energy Sources

scholarly journals Cascaded Centered Moving Average Filters for Energy Management in Multisource Power Systems with a Large Number of Devices

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3627
Author(s):  
Ramzi Saidi ◽  
Jean-Christophe Olivier ◽  
Mohamed Machmoum ◽  
Eric Chauveau
Keyword(s):  
Power Systems ◽  
Energy Management ◽  
Moving Average ◽  
Renewable Energy Sources ◽  
Clean Energy ◽  
Optimization Criterion ◽  
Energy Sources ◽  
Energy Management Strategy ◽  
Hybrid Energy ◽  
Forecasting Errors

Hybrid systems constitute one of the solutions for supplying isolated applications. Such systems are classically based on clean energy sources. When the renewable energy sources have intermittent productions, they are associated with storage systems. This makes the system economically more interesting. Economically speaking, hybrid energy systems using multiple energy sources are often expensive and their cost must be optimized. This optimization can be done for the system sizing or for its energy management. However, optimizing one does not guarantee the optimization of the other. Indeed, previous studies optimize either the design and apply it with a simple energy management strategy, or the energy management with predetermined sizing supposed optimized, while minimizing the number of sources that contain the hybrid system. In this paper, an energy management and sizing algorithm, applicable to multisource systems, composed of a large number of sources, is proposed. The method is based on a modified centered moving average filters architecture for energy management, which permits one to consider and to automatically balance the forecasting errors in solar and load profiles. The energy management is then limited to a small number of parameters, which are the averaging horizon and weight coefficients. It is then possible to optimize, at the same time, the sizing and the energy management of such power systems. The proposed optimization criterion is based on a techno-economic approach, by considering acquisition and operation costs, as well as the ageing of the different devices. The main novelty of this approach is the use of energy management formulation that is able to manage an architecture with a high number of controlled devices. An original formulation of centered moving average filters also permits one to automatically balance the power bias due to forecasting errors on the renewable resources and the load profile. The method is applied to five devices, including photovoltaic panels, a fuel cell, two batteries with different technologies (Li-ion and lead-acid) and supercapacitors.

scholarly journals The Energy System of an Ecovillage: Barriers and Enablers

Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 682
Author(s):  
Zita Szabó ◽  
Viola Prohászka ◽  
Ágnes Sallay
Keyword(s):  
Renewable Energy ◽  
Spatial Structure ◽  
Energy Management ◽  
Energy Production ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Energy Sources ◽  
Energy Management System ◽  
Production And Consumption ◽  
Ecologically Sustainable

Nowadays, in the context of climate change, efficient energy management and increasing the share of renewable energy sources in the energy mix are helping to reduce greenhouse gases. In this research, we present the energy system and its management and the possibilities of its development through the example of an ecovillage. The basic goal of such a community is to be economically, socially, and ecologically sustainable, so the study of energy system of an ecovillage is especially justified. As the goal of this community is sustainability, potential technological and efficiency barriers to the use of renewable energy sources will also become visible. Our sample area is Visnyeszéplak ecovillage, where we examined the energy production and consumption habits and possibilities of the community with the help of interviews, literature, and map databases. By examining the spatial structure of the settlement, we examined the spatial structure of energy management. We formulated development proposals that can make the community’s energy management system more efficient.

scholarly journals Special Issue: “Wind Power Integration into Power Systems: Stability and Control Aspects”

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3680
Author(s):  
Lasantha Meegahapola ◽  
Siqi Bu
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Renewable Energy Sources ◽  
Power Grids ◽  
Energy Sources ◽  
Low Carbon ◽  
Carbon Neutrality ◽  
Stability And Control ◽  
Wind Power Integration ◽  
And Control

Power network operators are rapidly incorporating wind power generation into their power grids to meet the widely accepted carbon neutrality targets and facilitate the transition from conventional fossil-fuel energy sources to the clean and low-carbon renewable energy sources [...]

Sign in / Sign up

Export Citation Format

Share Document