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Energy Management in Microgrids with Renewable Energy Sources: A Literature Review

Yimy E. García Vera, Rodolfo Dufo-López, José L. Bernal-Agustín
2019 Applied Sciences  
This paper presents a literature review of energy management in microgrid systems using renewable energies, along with a comparative analysis of the different optimization objectives, constraints, solution  ...  the distributed generation centers, which implies that they need to be managed optimally.  ...  A multi-objective particle swarm optimization is used, which evaluates the probability of losing energy supply over a time horizon/period of 6 months each during summer and winter.  ... 
doi:10.3390/app9183854 fatcat:i3kkxrvxkzfkrikaylmdrbizpi

Maps of Intrinsic Cost (IC) in reliability problems of medium voltage power distribution systems through a Fuzzy multi-objective model

Federico G. Camargo, Gustavo A. Schweickardt, Carlos A. Casanova
2018 Dyna  
Model scope The optimization model was applied to a case of MVPDS taken from real data and studied in the state of the art using Mono and Multi-criteria models.  ...  PSO: Particle Swarm Optimization. FPSO: Fuzzy Particle Swarm Optimization. FC PSO: Particle Swarm Optimization with Constriction Factor.  ... 
doi:10.15446/dyna.v85n204.65836 fatcat:lag2vd6fwbdjncxvq75qnqzuwa

Planning Models for Distribution Grid

Piedy Agamez Arias
2018 U Porto Journal of Engineering  
In this context, this paper presents a brief review of distribution planning and expansion models with the perspective of identifying approaches, objective functions used, uncertainties analyzed, the computational  ...  planning and expansion models of the electrical grid to guarantee mainly the energy supply for current and future loads and the technical and operational criteria of the grid, requiring for this, to make  ...  Ganguly, Sahoo, and Das (2011) studied the static expansion planning of distribution grid under mono and multi-objective approaches using particle swarm optimization (PSO).  ... 
doi:10.24840/2183-6493_004.001_0004 fatcat:xbwehsryljbufia3e4fam6h6fy

Sizing, optimization, control and energy management of hybrid renewable energy system- a review

Chouaib Ammari, Djamel Belatrache, Batoul Touhami, Salim Makhloufi
2021 Energy and Built Environment  
, control (centralized, distributed and hybrid control) and energy management (technical objective, economic objective and techno-economic objective).  ...  This review focuses on four essential categories of hybrid renewable energy system which is sizing (using software or using traditional methods), optimization (classical, artificial and hybrid methods)  ...  -Cannot import time series data iHOGA -Uses multi or mono objective -Absence of sensitivity and Table 3 : 3 A summary of recent optimal sizing studies Sizing methods System components Objective  ... 
doi:10.1016/j.enbenv.2021.04.002 fatcat:b3fwcnbfivgrljnaz6kglt6qse

Regulation impact on distribution systems with distributed generation

Yalin Huang, Karin Alvehag, Lennart Soder
2012 2012 9th International Conference on the European Energy Market  
This paper ends with a case study on methods that Swedish DSOs use to plan the networks when considering the uncertainties caused by wind power and the regulation impact on distribution network planning  ...  In this new operating environment the DSO has to be able to plan an efficient network topology, which consists of reinforcement and extensions.  ...  In [18] a mono-objective PSO-based planning is used to optimize the two objectives separately.  ... 
doi:10.1109/eem.2012.6254721 fatcat:caykndjopbfrzpsbsjjewumvim

Mixed Integer Optimization of IDMT Overcurrent Relays in the Presence of Wind Energy Farms Using PSO Algorithm

Mohamed Zellagui, Rabah Benabid, Mohamed Boudour, Abdelaziz Chaghi
2015 Periodica Polytechnica Electrical Engineering and Computer Science  
The characteristics of the relays are always chosen arbitrary or by trial and error method. To solve this constrained non linear optimization problem, the particle swarm optimization method is used.  ...  The coordination problem is formulated as a constrained nonlinear mono-objective optimization problem.  ...  using multi-objective and hybrid optimization algorithms.  ... 
doi:10.3311/ppee.7525 fatcat:qvcad52qh5bnjj2vksld3i2yky

An Efficient Multi-objective Evolutionary Approach for Solving the Operation of Multi-Reservoir System Scheduling in Hydro-Power Plants [article]

C.G. Marcelino, G.M.C. Leite, C.A.D.M Delgado, L.B. de Oliveira, E.F. Wanner, S. Jiménez-Fernández, S. Salcedo-Sanz
2021 arXiv   pre-print
For solving the problem, we discuss the Multi-objective Evolutionary Swarm Hybridization (MESH) algorithm, a recently proposed multi-objective swarm intelligence-based optimization method which has obtained  ...  Results indicate that MESH showed a superior performance than alternative multi-objective approaches in terms of efficiency and accuracy, providing a profit of $412,500 per month in a projection analysis  ...  The authors thank UAH, UFRJ and CEFET-MG for the infrastructure used to conduct this work, and Brazilian research agencies: CAPES (Finance Code 001) and CNPq for support.  ... 
arXiv:2107.09718v1 fatcat:ay34ty3p7zhglagtpupg4ukunm

A multi-objective optimization-based model for the deployment of reclosers and remote-controlled switches using NSGA2 and entropy weighted TOPSIS method

Anass Lekbich, Abdelaziz Belfqih, Tayeb Ouaderhman, Chaimae Zedak, Jamal Boukherouaa, Faissal El Mariami
2020 Indonesian Journal of Electrical Engineering and Computer Science  
The results obtained are compared to a binary<br />multi-objective particle swarm optimization method and the results show that<br />the proposed method reduces the overall costs, reduces the undelivered  ...  <p>Since they are fast, remote-controlled, automated and intelligent, reclosers<br />and switches are an inevitable solution for improving the reliability of<br />intelligent electrical distribution networks  ...  The optimization method is based on a hybrid solution using the IPSO method (Improved Particle Swarm Optimization) and Monte Carlo simulation.  ... 
doi:10.11591/ijeecs.v20.i3.pp1128-1139 fatcat:wo4e4gvsqnavzanopnlnqdtsp4

Hybrid Energy Routing Approach for Energy Internet

Sara Hebal, Djamila Mechta, Saad Harous, Mohammed Dhriyyef
2021 Energies  
For the multi-source consumer case, an energy particle swarm optimization algorithm was proposed to choose a set of producers and to decide the amount of energy that should be collected from each producer  ...  This mechanism provides a solution for both mono and multi-source consumers.  ...  Conflicts of Interest: The authors declare no conflict of interest. Abbreviations The following abbreviations were used in this manuscript:  ... 
doi:10.3390/en14092579 doaj:055ab2bfde70402082def44e8e5eef2a fatcat:ajhwgiugd5fq5g6v2zpczfognm

Virtual Machine Placement Literature Review [article]

Fabio Lopez-Pires, Benjamin Baran
2015 arXiv   pre-print
In this context, Virtual Machine Placement (VMP) is one of the most challenging problems in cloud infrastructure management, considering also the large number of possible optimization criteria and different  ...  and ecological impact.  ...  The identified optimization approaches may be classified as: (1) mono-objective optimization problem (MOP), (2) multi-objective solved as mono-objective (MAM) and (3) pure multi-objective (PMO).  ... 
arXiv:1506.01509v1 fatcat:jn3xf74gynam5l43dngf46y73i

Comparative study of distribution networks reconfiguration problem approaches

Ana Moura, Juliana Salvadorinho, Bárbara Soares, Joana Cordeiro
2020 Reserche operationelle  
For this study, ninety papers that address the problem of reconfiguration of power distribution networks were analyzed.  ...  The main objective is to present a comparison between the various methods of resolution presented in the literature and the most used by the various authors.  ...  electrical distribution networks.  ... 
doi:10.1051/ro/2020075 fatcat:zijbi53vkrbx7fppsjnirrfx2u

Table of Contents

2020 2020 IEEE Symposium Series on Computational Intelligence (SSCI)  
Swarm Fractional-best Particle Swarm Optimization for Dynamic Multi-modal Optimization Simon Dennis and Andries Engelbrecht .......... 1549 Analysis of Particle Swarm Optimisation for Training Support  ...  Eiben .......... 2272 ENASA1: Neuroevolution/Neural Architecture Design, Chair: Yanan Sun Objective Comparison and Selection in Mono-and Multi-Objective Evolutionary Neurocontrollers Ian Showalter  ... 
doi:10.1109/ssci47803.2020.9308155 fatcat:hyargfnk4vevpnooatlovxm4li

Phase Swapping Load Balancing Algorithms, Comprehensive Survey

Ibrahim Al-Kharsan, Ali Marhoon, Jawad Mahmood
2019 Iraqi Journal for Electrical And Electronic Engineering  
The power quality nowadays of the low voltage distribution system is vital for the utility and the consumer at the same time.  ...  , lead to a suitable reduction in the losses and preventing the wrong tripping of the protective relays.  ...  After that, they design a hybrid multi-objective optimization model named by Evolutionary Particle Swarm Optimization (FEPSO), it including the concepts of the particle swarm, evaluation and the fuzzy  ... 
doi:10.37917/ijeee.15.2.5 fatcat:7zxx7qja4bhdbl2dcae5hqseki

Two-stage multi-objective OPF for AC/DC grids with VSC-HVDC: Incorporating decisions analysis into optimization process

Yang Li, Yahui Li, Guoqing Li, Dongbo Zhao, Chen Chen
2018 Energy  
The first stage of the approach is consisted of a multi-objective particle swarm optimization algorithm with a hybrid coding scheme employed to find multiple Pareto-optimal solutions.  ...  A two-stage solution approach for solving the problem of multi-objective optimal power flow (MOPF) is proposed for hybrid AC/DC grids with VSC-HVDC.  ...  In the first stage, multi-objective particle swarm optimization (MOPSO) algorithm [21] with a hybrid coding scheme is used for finding well-spread Pareto-optimal solutions; in the second stage, the obtained  ... 
doi:10.1016/ fatcat:xzetoojxsvefrfywqw2uyeuhle

Multi-Objective Electrical Power System Design Optimization Using a Modified Bat Algorithm

Khaled Guerraiche, Latifa Dekhici, Eric Chatelet, Abdelkader Zeblah
2021 Energies  
This paper proposes a new algorithm to solve the design problem of optimal multi-objective redundancy of series-parallel power systems.  ...  The multi-objective design aims to minimize the design cost, and to maximize the reliability and the performance of the electric power generation system from solar and gas generators by taking into account  ...  The multi-objective optimization of the series-parallel multi-state electrical power network refers to the resolution of two or more objectives to be satisfied simultaneously, with a number of inequality  ... 
doi:10.3390/en14133956 fatcat:zctzm6frqfgp5din4e6uzfutye
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