Abstract This paper presents both application and comparison of the metaheuristic techniques to multi-area economic dispatch (MAED) problem with tie line constraints considering transmission losses, multiple fuels, valve-point loading and prohibited operating zones. The metaheuristic techniques such as differential evolution, evolutionary programming, genetic algorithm and simulated annealing are applied to solve MAED problem. These metaheuristic techniques for MAED problem are evaluated on three different test systems, both small and large, involving varying degree of complexity and the results are compared against each other
The great advances in technology and industry have brought about an increase in the demand for energ...
This paper proposes a novel constraint handling strategy (CHM) based on random walk for metaheuristi...
Abstract. In This paper, we present a hybrid approach combining two optimization techniques for solv...
In this paper, the dynamic combined economic environmental dispatch problems (DCEED) with variable r...
Abstract – In this paper, Secant method is proposed to solve multi area economic dispatch (MAED) pro...
This paper presents various optimization techniques to solve the problem of Economic Dispatch (ED). ...
Economic dispatch is an approach that can indirectly improve the power system resonance. A novel alg...
This paper presents application of Improved Bat algorithm for solving Multi-area economic load dispa...
We consider the Multi-Area Economic Dispatch problem (MAEDP) in deregulated power system environment...
This paper aimed at exploring the performance of Particle Swarm Optimisation with Exponentially Vary...
The multi-area economic load dispatch (MAELD) can reduce running costs through making the areas with...
In this paper, multiarea economic dispatch (MAED) problems are solved by a novel straightforward pro...
The paper presents the metaheuristic approaches based on pattern search and simulated annealing hybr...
ABSTRACT: This paper presents a new approach for solving of the economic load dispatch (ELD) problem...
This paper analyses the performance of soft computing techniques to solve single and multi area econ...
The great advances in technology and industry have brought about an increase in the demand for energ...
This paper proposes a novel constraint handling strategy (CHM) based on random walk for metaheuristi...
Abstract. In This paper, we present a hybrid approach combining two optimization techniques for solv...
In this paper, the dynamic combined economic environmental dispatch problems (DCEED) with variable r...
Abstract – In this paper, Secant method is proposed to solve multi area economic dispatch (MAED) pro...
This paper presents various optimization techniques to solve the problem of Economic Dispatch (ED). ...
Economic dispatch is an approach that can indirectly improve the power system resonance. A novel alg...
This paper presents application of Improved Bat algorithm for solving Multi-area economic load dispa...
We consider the Multi-Area Economic Dispatch problem (MAEDP) in deregulated power system environment...
This paper aimed at exploring the performance of Particle Swarm Optimisation with Exponentially Vary...
The multi-area economic load dispatch (MAELD) can reduce running costs through making the areas with...
In this paper, multiarea economic dispatch (MAED) problems are solved by a novel straightforward pro...
The paper presents the metaheuristic approaches based on pattern search and simulated annealing hybr...
ABSTRACT: This paper presents a new approach for solving of the economic load dispatch (ELD) problem...
This paper analyses the performance of soft computing techniques to solve single and multi area econ...
The great advances in technology and industry have brought about an increase in the demand for energ...
This paper proposes a novel constraint handling strategy (CHM) based on random walk for metaheuristi...
Abstract. In This paper, we present a hybrid approach combining two optimization techniques for solv...