Simple fuzzy logic-based energy management for power exchange in isolated multi-microgrid systems: A case study in a remote community in the Amazon region of Ecuador

Rodriguez, Mauricio; Arcos-Aviles, Diego; Guinjoan, Francesc

doi:10.1016/j.apenergy.2023.122522

Cited by 9 publications

(3 citation statements)

References 35 publications

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“…In photovoltaic systems, photovoltaic cells can be described by Equation (2), which gives the output power characteristic curve…”

Section: Photovoltaic Power Generation (Pv)mentioning

confidence: 99%

“…They also enable the recovery of energy from electrical loads. As a precondition to the transition from traditional power grids to microgrids, diverse energy loads must be provided with a reliable supply of energy [2]. There are multiple constraints involved in the scheduling process for microgrids, and this process must be optimized in order to satisfy these constraints.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Objective Optimal Scheduling of Microgrids Based on Improved Particle Swarm Algorithm

Guan,

Wang,

et al. 2024

Energies

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Microgrid optimization scheduling, as a crucial part of smart grid optimization, plays a significant role in reducing energy consumption and environmental pollution. The development goals of microgrids not only aim to meet the basic demands of electricity supply but also to enhance economic benefits and environmental protection. In this regard, a multi-objective optimization scheduling model for microgrids in grid-connected mode is proposed, which comprehensively considers the operational costs and environmental protection costs of microgrid systems. This model also incorporates improvements to the traditional particle swarm optimization (PSO) algorithm by considering inertia factors and particle adaptive mutation, and it utilizes the improved algorithm to solve the optimization model. Simulation results demonstrate that this model can effectively reduce electricity costs for users and environmental pollution, promoting the optimized operation of microgrids and verifying the superior performance of the improved PSO algorithm. After algorithmic improvements, the optimal total cost achieved was CNY 836.23, representing a decrease from the pre-improvement optimal value of CNY 850.

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“…In photovoltaic systems, photovoltaic cells can be described by Equation (2), which gives the output power characteristic curve…”

Section: Photovoltaic Power Generation (Pv)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimal Scheduling of Microgrids Based on Improved Particle Swarm Algorithm

Guan,

Wang,

et al. 2024

Energies

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“…The purpose of the authors' proposed study is to quickly and accurately propose potential failures from a large list of potential emergency events. In [144], this technique was used to optimize and improve the energy management system.…”

Section: Power System Securitymentioning

confidence: 99%

Application of Methods Based on Artificial Intelligence and Optimisation in Power Engineering—Introduction to the Special Issue

Pijarski,

Belowski

2024

Energies

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The challenges currently faced by network operators are difficult and complex. Presently, various types of energy sources with random generation, energy storage units operating in charging or discharging mode and consumers with different operating characteristics are connected to the power grid. The network is being expanded and modernised. This contributes to the occurrence of various types of network operating states in practice. The appearance of a significant number of objects with random generation in the power system complicates the process of planning and controlling the operation of the power system. It is therefore necessary to constantly search for new methods and algorithms that allow operators to adapt to the changing operating conditions of the power grid. There are many different types of method in the literature, with varying effectiveness, that have been or are used in practice. So far, however, no one ideal, universal method or methodology has been invented that would enable (with equal effectiveness) all problems faced by the power system to be solved. This article presents an overview and a short description of research works available in the literature in which the authors have used modern methods to solve various problems in the field of power engineering. The article is an introduction to the special issue entitled Advances in the Application of Methods Based on Artificial Intelligence and Optimisation in Power Engineering. It is an overview of various current problems and the various methods used to solve them, which are used to cope with difficult situations. The authors also pointed out potential research gaps that can be treated as areas for further research.

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Improved load demand prediction for cluster microgrids using modified temporal convolutional feed forward network

Poongulali,

Selvaraj

2024

Telecommun Syst

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Simple fuzzy logic-based energy management for power exchange in isolated multi-microgrid systems: A case study in a remote community in the Amazon region of Ecuador

Cited by 9 publications

References 35 publications

Multi-Objective Optimal Scheduling of Microgrids Based on Improved Particle Swarm Algorithm

Multi-Objective Optimal Scheduling of Microgrids Based on Improved Particle Swarm Algorithm

Application of Methods Based on Artificial Intelligence and Optimisation in Power Engineering—Introduction to the Special Issue

Improved load demand prediction for cluster microgrids using modified temporal convolutional feed forward network

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