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Application of modified pigeon-inspired optimization algorithm and constraint-objective sorting rule on multi-objective optimal power flow problem
G Chen, J Qian, Z Zhang, S Li - Applied Soft Computing, 2020 - Elsevier
To solve the non-differentiable optimal power flow (OPF) problems with multiple
contradictory objectives, a modified pigeon-inspired optimization algorithm (MPIO) is put …
contradictory objectives, a modified pigeon-inspired optimization algorithm (MPIO) is put …
Optimal power flow of hybrid wind/solar/thermal energy integrated power systems considering costs and emissions via a novel and efficient search optimization …
AS Alghamdi - Applied Sciences, 2023 - mdpi.com
The OPF problem has significant importance in a power system's operation, planning,
economic scheduling, and security. Today's electricity grid is rapidly evolving, with increased …
economic scheduling, and security. Today's electricity grid is rapidly evolving, with increased …
Long-term memory Harris' hawk optimization for high dimensional and optimal power flow problems
Harris' hawk optimization (HHO) is a recent addition to population-based metaheuristic
paradigm, inspired from hunting behavior of Harris' hawks. It has demonstrated promising …
paradigm, inspired from hunting behavior of Harris' hawks. It has demonstrated promising …
Energy cost optimization of hybrid renewables based V2G microgrid considering multi objective function by using artificial bee colony optimization
The worldwide demand for reduction of CO2 pollution, with more penetration of renewable
energy sources and an increased number of electric vehicles (EVs), demonstrates the …
energy sources and an increased number of electric vehicles (EVs), demonstrates the …
A Comprehensive Review on Applications of Grey Wolf Optimizer in Energy Systems
In the field of optimization problems, the optimization of energy systems problems is of
significant importance, mainly due to their dramatic role in achieving sustainability. The …
significant importance, mainly due to their dramatic role in achieving sustainability. The …
Solving constrained optimal power flow with renewables using hybrid modified imperialist competitive algorithm and sequential quadratic programming
The objective of this paper was to develop and solve different constrained optimal power
flow (OPF) problems for hybrid power systems containing renewable energy sources like …
flow (OPF) problems for hybrid power systems containing renewable energy sources like …
Multi-objective optimal power flow using a new heuristic optimization algorithm with the incorporation of renewable energy sources
The current research study proposes a multi-objective optimal power flow (OPF) solution
using a modified Interior Search Algorithm in which Levy Flight feature with two different …
using a modified Interior Search Algorithm in which Levy Flight feature with two different …
Optimal planning and EMS design of PV based standalone rural microgrids
Standalone rural microgrid (MG) systems are considered as a sustainable and economical
solutions towards rural area electrifications. Specific control schemes are necessary to adopt …
solutions towards rural area electrifications. Specific control schemes are necessary to adopt …
Stochastic modeling for wind energy and multi-objective optimal power flow by novel meta-heuristic method
Wind energy is considered one of the most important alternative energy sources for
generating electricity. But the stochastic nature of wind, leads to use the distribution function …
generating electricity. But the stochastic nature of wind, leads to use the distribution function …
[HTML][HTML] Turbulent flow of water-based optimization for solving multi-objective technical and economic aspects of optimal power flow problems
The optimal operation of modern power systems aims at achieving the increased power
demand requirements regarding economic and technical aspects. Another concern is …
demand requirements regarding economic and technical aspects. Another concern is …