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Soft Computing

, Volume 23, Issue 3, pp 847–857 | Cite as

Rescheduling-based congestion management scheme using particle swarm optimization with distributed acceleration constants

  • Naresh Kumar YadavEmail author
Methodologies and Application
First Online:
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Abstract

Rescheduling-based congestion management schemes are prominent solutions for secure and reliable power flow under deregulated environment. Since the rescheduling process exhibits multimodal behavior by nature, the role of heuristic methods has become crucial. Despite numerous heuristic search algorithms are reported in the literature to address the challenge, this paper attempts to improve Particle Swarm Optimization (PSO), which is a renowned swarm intelligence-based optimization algorithm. Our improved version of PSO intends to determine adaptive acceleration constants based on the particle position and the evaluation it has undergone till the current iteration. Due to the distributed nature of acceleration constant, this paper calls the proposed PSO as PSO with distributed acceleration constant (PSODAC). PSODAC attempts to solve the rescheduling problem in a hybrid electricity market so that congestion is aimed to minimize at best rescheduling cost. An experimental investigation is carried out in IEEE14 bus system under single point as well as multipoint congestion scenarios. Subsequently, the dynamics of the particles are also investigated. The experimental results show that PSODAC is better than PSO in terms of cost-effective congestion mitigation as well as exhibiting high particle dynamics.

Keywords

Congestion PSO PSODAC Rescheduling Hybrid Electricity 
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Notes

Compliance with ethical standards

Conflict of interest

The author declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  1. 1.Department of Electrical Engineering, Faculty of Engineering and TechnologyDeenbandhu Chhotu Ram University of Science and TechnologyMurthal (Sonepat)India

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