Volume 9 Issue 2 - November 2017

  • 1. Implementation of particle swarm optimization and differential evolution application to large-scale unit commitment problem

    Authors : Palla Shailesh Kumar, M. Ramu

    Pages : http://dx.doi.org/10.21172/1.92.05

    DOI : 17-24

    Keywords : Unit Commitment (UC), Modified Particle Swarm Optimization (MPSO), Improved Differential Evolution (IDE)

    Abstract :

    This paper suggests the solving of unit commitment problem (UCP) using Lagrangian relaxation incorporating particle swarm optimization (PSO) and differential evolution (DE). The objective is to obtain optimal cost meeting all the required constraints. PSO is applied for initializing and Lagrangian multiplier update purpose. For large scale problems PSO as modified in operation i.e. Particles “flying out” of the simplex vicinity is a primary limitation of PSO because the computational time is increased while bringing back the “flown away” particle or by completely neglecting that particular particle, vice versa. This limitation is suppressed by modifying the method by operating it in an enclosed hyper cube before it attains a non-feasible point. Another method Differential evolution technique is quite popular among various evolutionary techniques existing, due to its impeccable accuracy and swift responses. But in some cases due to its swift response abilities, DE maytend to drop regional optimums. We introduce a dynamic mutation factor in the solution algorithm for surpassing this limitation for large scale problems. In this paper we implement Particle Swarm Optimization and Differential Evolution together in large-scale Unit Commitment Problems.The mitigation of the objective function for satisfying the minimum up and down time constraints, start-up cost and spinning reserve is regarded as the problem formulation of the unit commitment. The suggested method is tested for 10 units to 100 units with 24 hours’ demand horizon and was verified with various pre-existing methods to verify its effectiveness.

    Citing this Journal Article :

    Palla Shailesh Kumar, M. Ramu, "Implementation of particle swarm optimization and differential evolution application to large-scale unit commitment problem ", Volume 9 Issue 2 - November 2017, http://dx.doi.org/10.21172/1.92.05