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A Novel Constraints Handling Method for Economic Dispatch with Valve-Point Effects
Economic dispatch with valve-point effects is a nonlinear and nonconvex problem in power systems. In addition to the optimization algorithm, the...
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Dynamic economic load dispatch in microgrid using hybrid moth-flame optimization algorithm
This paper focuses to identify and validate a more appropriate algorithm to solve the proposed problem. The economic load dispatch (ELD) with the...
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Optimal Economic Dispatch to Minimize Load Shedding and Operation Cost for Networked Microgrids
In this paper, an optimal economic dispatch model is proposed for networked microgrids in normal and contingency operations using particle swarm...
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Fixed-time distributed robust optimization for economic dispatch with event-triggered intermittent control
This paper proposes a fixed-time distributed robust optimization approach for solving economic dispatch problems. Based on an integral sliding mode...
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Resilient distributed economic dispatch of smart grids under deception attacks
The deepening integration of distributed energy resources in smart grids catalyzes the development of distributed energy management methods owing to...
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Joint economic and emission load dispatch for the Algerian grid via an improved harmony search algorithm
Renewable energy sources (RES) have been very popular as they reduce the release of damaging toxins to the air contrary to fossil fuel combustion....
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Low-carbon economic dispatch of power systems considering synergistic operation of carbon capture and electric hydrogen production
In pursuit of the “double carbon” objectives, converting high-carbon thermal power plants into carbon capture power plants is recognized as an...
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An approach to attain a balanced trade-off solution for dynamic economic emission dispatch problem on a microgrid system
Electricity generation involves the release of hazardous gases into the environment by fossil-fueled generators. Along with promoting the renewable...
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Low-Carbon Economic Dispatch of an Integrated Energy System Based on Carbon Emission Flow Theory
To address the problem of low carbon economic dispatch of integrated energy systems, carbon emission flow theory is introduced into the optimal...
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A multi-objective economic emission dispatch problem in microgrid with high penetration of renewable energy sources using equilibrium optimizer
In the realm of energy economics and microgrid management, optimizing the multi-objective economic emission dispatch (EED) holds paramount...
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Equilibrium optimizer for multi-objective dynamic economic emission dispatch integration with plug-in electric vehicles and renewable sources
The renewable energy sources (RES) like wind and solar energy have received much attention in incorporating with thermal generating units. The...
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Chaos-enhanced multi-objective tunicate swarm algorithm for economic-emission load dispatch problem
Climate change and environmental protection have a significant impact on thermal plants. So, the main principles of combined economic-emission...
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An intelligent quasi-oppositional HBO technique to solve non-smooth non-convex economic dispatch problem
In this paper, a modified heap-based optimization (HBO) known as the quasi-oppositional heap-based optimization (QOHBO) method is endeavored to...
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An adaptive chaotic class topper optimization technique to solve economic load dispatch and emission economic dispatch problem in power system
Optimization algorithms are widely used to solve large and complex optimization problems. In this paper, a human intelligence-based optimization...
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A hybrid capuchin search algorithm with gradient search algorithm for economic dispatch problem
This paper presents an effective approach for solving economic load dispatch problems contemplating the scheduling a set of thermal generating units...
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An Efficient Multi-objective Approach Based on Golden Jackal Search for Dynamic Economic Emission Dispatch
Dynamic Economic Emission Dispatch (DEED) aims to optimize control over fuel cost and pollution emission, two conflicting objectives, by scheduling...
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Boosting Kernel Search Optimizer with Slime Mould Foraging Behavior for Combined Economic Emission Dispatch Problems
Reducing pollutant emissions from electricity production in the power system positively impacts the control of greenhouse gas emissions. Boosting...
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Integrated approach for dynamic economic/emission dispatch problem: multi-objective moth flame optimizer with transmission loss prediction using cascaded forward neural network
This paper presents improved single- and multi-objective algorithms based on the original moth flame optimizer (MFO) to tackle the dynamic economic...
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Environmental economic dispatch method of power system based on multiobjective artificial bee colony algorithm
A multiobjective environmental economic dispatching model of power system is established with minimum economic cost and pollution emission as the...
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A Two-Stage Cooperative Multi-objective Evolutionary Differential Algorithm for Combined Heat and Power Economic Emission Dispatch
Combined heat and power economic emission dispatch (CHPEED) can obtain good economic and environmental benefits, but the dispatch problem presents...
