Results 21 to 30 of about 27,230 (158)

Application of the Hurricane-Based Optimization Algorithm to the Phase-Balancing Problem in Three-Phase Asymmetric Networks

open access: yesComputers, 2022
This article addresses the problem of optimal phase-swapping in asymmetric distribution grids through the application of hurricane-based optimization algorithm (HOA). The exact mixed-integer nonlinear programming (MINLP) model is solved by using a master–
Jose Luis Cruz-Reyes   +2 more
doaj   +1 more source

Tail risk adjusted clean energy portfolios in P2P transactive markets using Rachev ratio

open access: yesEnergy Conversion and Economics, 2023
Renewable energy sources (RES) and electric vehicles (EVs) pose ‘energy‐risk’ in peer energy commitments due to their temporal and spatial uncertainties. Thus, optimistic commitments in the peer‐to‐peer transactive energy market (P2P TEM) are improbable.
Jisma M   +3 more
doaj   +1 more source

Optimal Location and Sizing of PV Generation Units in Electrical Networks to Reduce the Total Annual Operating Costs: An Application of the Crow Search Algorithm

open access: yesMathematics, 2022
This study presents a master–slave methodology to solve the problem of optimally locating and sizing photovoltaic (PV) generation units in electrical networks.
Brandon Cortés-Caicedo   +4 more
doaj   +1 more source

Research on the bi-layer low carbon optimization strategy of integrated energy system based on Stackelberg master slave game [PDF]

open access: yes, 2023
With increasing reforms related to integrated energy systems (IESs), each energy subsystem, as a participant based on bounded rationality, significantly influences the optimal scheduling of the entire IES through mutual learning and imitation.
Cuicui Wang   +7 more
core   +1 more source

Optimal Reactive Power Compensation via D-STATCOMs in Electrical Distribution Systems by Applying the Generalized Normal Distribution Optimizer

open access: yesAlgorithms, 2023
This research deals with the problem regarding the optimal siting and sizing of distribution static compensators (D-STATCOMs) via the application of a master–slave optimization technique. The master stage determines the nodes where the D-STATCOMs must be
Laura Patricia García-Pineda   +1 more
doaj   +1 more source

Parallel Multi-objective Optimization using Master-Slave Model on Heterogeneous Resources [PDF]

open access: yes, 2008
In this paper, we study parallelization of multiobjective optimization algorithms on a set of hetergeneous resources based on the Master-Slave model.
Branke, Jurgen   +7 more
core   +1 more source

A novel Master–Slave optimization algorithm for generating an optimal release policy in case of reservoir operation [PDF]

open access: yes, 2019
Dams and reservoirs provide decision-makers and managers with appropriate control on the available water resources, allowing the implementation of various strategies for the most efficient usage of the available water resources.
El-Shafie A.   +3 more
core   +3 more sources

Learning Automata-Based Methodology for Optimal Allocation of Renewable Distributed Generation Considering Network Reconfiguration

open access: yesIEEE Access, 2017
The inadequate capacity of distribution networks to consume renewable energy and the inappropriate allocation of renewable distributed generation (RDG) have become important issues. In this paper, a 3-level learning automata-based methodology in a master-
Junpeng Zhu   +6 more
doaj   +1 more source

Optimal Allocation and Sizing of PV Generation Units in Distribution Networks via the Generalized Normal Distribution Optimization Approach

open access: yesComputers, 2022
The problem of optimal siting and dimensioning of photovoltaic (PV) generators in medium-voltage distribution networks is addressed in this research from the perspective of combinatorial optimization.
Oscar Danilo Montoya   +2 more
doaj   +1 more source

Optimal Power Flow in Direct-Current Power Grids via Black Hole Optimization

open access: yesAdvances in Electrical and Electronic Engineering, 2019
This paper addresses the Optimal Power Flow (OPF) problem in DC power microgrids via a combinatorial optimization technique known as Black Hole Optimization (BHO).
Orfilio Sebastian Velasquez   +3 more
doaj   +1 more source

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