Unit Commitment Solution Using Particle Swarm Optimisation (PSO)
نویسندگان
چکیده
منابع مشابه
Solving Security Constrained Unit Commitment by Particle Swarm Optimization
The issue of unit commitment is one of the most important economic plans in power system. In modern and traditional power systems, in addition to being economical of the planning, the issue of security in unit operation is also of great importance. Hence power system operation confronts units’ participation and input considering network security constrains. The issue of units’ participation is ...
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The solution of the unit commitment problem (UCP) is a complex optimization problem. The exact solution of the UCP can he obtained by a complete enumeration of all feasible combinations of generating units, which could be a huge number. The objective is to find the generation scheduling such that the total operating cost can be minimized, when subjected to a variety of constraints. This also me...
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Previous work on swarms with variation in particle behaviours has focussed on discrete behaviours. In this paper we investigate a traitbased approach where particles in the swarm display degrees of different behaviour. Results show that trait-based diversity in the swarm leads to better performance than standard PSO and discrete behaviour variation.
متن کاملA Solution to Unit Commitment Problem via Dynamic Programming and Particle Swarm Optimization
The optimization problem while committing the units is minimizing the entire production cost, at the same time meeting the demand and fulfilling the equality and inequality limits. In order to supply adequate power to the consumers in a cost-effective and secured way the commitment of thermal units is the best option available. The commitment of generating units is done depending upon the predi...
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This thesis proposes a two-stage optimization for solving unit commitment. In the first stage, Lagrangian Relaxation (LR) method is used to solve unit commitment using a sub-gradient algorithm for updating Lagrange multipliers. In the second stage, Particle Swarm Optimization (PSO) is applied to update Lagrange multipliers in the Lagrangian Relaxation method (PSOLR). Lagrange multipliers soluti...
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ژورنال
عنوان ژورنال: IOSR Journal of Engineering
سال: 2014
ISSN: 2278-8719,2250-3021
DOI: 10.9790/3021-04310109