Proceedings ArticleDOI
Multiobjective load dispatch using Particle Swarm Optimization
Harinder Pal Singh,Yadwinder Singh Brar,D.P. Kothari +2 more
- pp 272-277
TLDR
Weighting method has been applied to convert multiobjective optimization problem to a scalar optimization and Fuzzy cardinal approach has been used for the evaluation of the best solution.Abstract:
Major objective for the Thermal power generation is to minimize fuel consumption by allocating optimal power generation from each unit and to maintain emissions within the environmental license limit subject to equality and inequality constraints. The objectives considered in this paper for minimization i.e. cost and emission are of conflicting nature, therefore weighting method has been applied to convert multiobjective optimization problem to a scalar optimization. The weighting method assigns different weights to each objective function based upon their importance. The Particle Swarm Optimization (PSO) technique has been applied to find the best comprised solution. The equality constraints have been handled by exterior penalty method. Fuzzy cardinal approach has been used for the evaluation of the best solution. In order to show the effectiveness, the proposed approach has been tested on three test systems. Numerical results obtained from the proposed approach are compared with different techniques.read more
Citations
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Proceedings ArticleDOI
Home energy management with PSO in smart grid
TL;DR: A real-time optimal appliance usage strategy is proposed based on binary particle swarm algorithm, participated by both energy suppliers and end users to prove that the load shifting, energy saving and energy supply efficiency enhancement can be achieved with multi-objectives with particle swarm optimization.
Proceedings ArticleDOI
Demand side energy management with PSO and regulated electric vehicles behaviours
Yimin Zhou,Guoqing Xu +1 more
TL;DR: A real-time optimal appliance usage strategy based on binary particle swarm algorithm is presented in the paper and it is proved that the load shifting, energy saving and energy supply efficiency enhancement can be achieved with particle swarm optimization.
Proceedings ArticleDOI
Combined Active and Reactive Power Dispatch Using Particle Swarm Optimization
TL;DR: In this article, a particle swarm optimization (PSO) technique has been applied to minimize both active and reactive power cost, and the equality constraints have been handled by exterior penalty method.
Journal ArticleDOI
Best Compromise Alternative to EELD Problem using Hybrid Multiobjective Quantum Genetic Algorithm
TL;DR: This work uses quantum genetic algorithm to exploits the power of quantum computing to speed up genetic algorithm procedure and presents methodology that allows the decision maker to be a partner in problem solving, where DM specifies input values according to his need.
Proceedings ArticleDOI
Home Energy Management in Smart Grid with Renewable Energy Resources
TL;DR: A real-time optimal appliance usage strategy is proposed based on binary particle swarm algorithm, participated by both energy suppliers and customers, together with renewable resources.
References
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Journal ArticleDOI
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