Proceedings ArticleDOI
Multi-objective generation dispatch using Particle Swarm Optimisation
C. Rani,M Rajesh Kumar,K. Pavan +2 more
- pp 421-424
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TLDR
In this paper, a simple and effective method for optimum generation dispatch to minimise the fuel cost, environmental cost and security requirement of power networks is proposed, which is based on the bi-criterion global optimisation and particle swarm optimisation (PSO) technique.Abstract:
The advancement in power systems has led to the development of generation dispatch (GD) that is difficult to solve by classical optimisation method. The proposed paper work is to evolve simple and effective method for optimum generation dispatch to minimise the fuel cost, environmental cost and security requirement of power networks. The approach is based on the bi-criterion global optimisation and particle swarm optimisation (PSO) technique. The proposed technique is tested on 3-area interconnected and longitudinal system. The effectiveness of the proposed optimisation is verified in simulation studies using MATLAB software. The PSO based approach has been extended to evaluate the trade-off curve between the fuel cost of power production and the environmental cost according to the bi-criterion objective function.read more
Citations
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Proceedings ArticleDOI
Impact of price penalty factors on the solution of the combined economic emission dispatch problem using cubic criterion functions
TL;DR: In this article, the impacts of various pollutants and price penalty factors such as Max-Max, MinMax, Average, and Common are considered in the multi-objective dispatch problem and the simulation results are provided for IEEE 30 bus system.
Journal ArticleDOI
Combined Economic Emission Dispatch Problem using Particle Swarm Optimization
TL;DR: In this article, particle swarm optimization (PSO) method was used to solve Combined Economic emission Dispatch Problem (CEEDP) of thermal units while satisfying the constraints such as generator capacity limits, power balance and line flow limits.
Proceedings ArticleDOI
Investigation on the impact of the penalty factors over solution of the dispatch optimization problem
TL;DR: This paper analyses and compares the impact of four different penalty factors over the optimization solution and convergence of the calculation procedure for the CEED problem and shows that Min-Max price penalty factor gives the best optimization solution in comparison to other price penalty factors for theCEED problem.
Combined Economic Emission Dispatch Problem of Thermal Generating Units Using Particle Swarm Optimization
Anurag Gupta,S. Wadhwani +1 more
TL;DR: In this paper, a particle swarm optimization (PSO) algorithm is proposed to optimize Combined Economic emission Dispatch Problem (CEEDP)of thermal units, which is used to minimize both total fuel cost of generation and the emission of toxic gases of the thermal generating units simultaneously while satisfying the load demand and constraints of the system.
Proceedings ArticleDOI
Multi-objective economic-emission optimal load dispatch using bacterial foraging algorithm
TL;DR: The optimal economic-emission dispatch problem (EED) is addressed in this paper considering the environmental aspects and a modified bacterial foraging algorithm (MBFA) is implemented to obtain the optimal or near optimal load dispatch and capture the trade-off set of solutions.
References
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Proceedings ArticleDOI
Particle swarm optimization
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Proceedings ArticleDOI
Particle swarm optimization: developments, applications and resources
TL;DR: Developments in the particle swarm algorithm since its origin in 1995 are reviewed and brief discussions of constriction factors, inertia weights, and tracking dynamic systems are included.
Journal ArticleDOI
Particle swarm optimization to solving the economic dispatch considering the generator constraints
TL;DR: In this paper, a particle swarm optimization (PSO) method for solving the economic dispatch (ED) problem in power systems is proposed, and the experimental results show that the proposed PSO method was indeed capable of obtaining higher quality solutions efficiently in ED problems.
Journal ArticleDOI
Genetic algorithm solution to the economic dispatch problem
TL;DR: In this article, two GA solutions to the economic dispatch problem are presented, which do not impose any convexity restrictions on the generator cost functions and can be coded to work on parallel machines.
Journal ArticleDOI
Environmental/economic dispatch using fuzzy logic controlled genetic algorithms
TL;DR: In this article, a fuzzy logic controlled genetic algorithm (FCGA) was applied to power system environmental/economic dispatch for a six-generator power system and the results showed that the proposed algorithm can be applied to wide range of optimisation problems.
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