This paper presents a two stage solution methodology for deterministic unit commitment problem. In the first stage the ON/OFF status of units is determined by priority list method while in the second stage the economic load dispatch has been solved by Particle swarm optimization technique. The proposed technique is applied in MATLAB environment on two different cases comprising of four and ten generating units respectively. It is observed that for both the cases the overall production cost obtained through the proposed technique is better than the results reported thus far. © 2016 IEEE.

Madhukar Dave

Electrical Engineering

(SoE) School of Engineering

Tiwari S.

Dwivedi B.

<p>Shiv Nadar University is a comprehensive, multidisciplinary, research-focused, and student-centric University offering a full range of academic programs at the undergraduate, postgraduate and doctoral level. With state-of-the-art infrastructure, the University comprises of academic wings, sophisticated labs, international standard sports facilities, amphitheaters, auditorium, conference rooms and smart classrooms. The University&rsquo;s goal is to become internationally recognized for the quality of its research and creative endeavors and their applicability to improving quality of life, generating new insights and expanding the boundaries of human knowledge creativity. Committed to excellence in teaching, research and service, the University aims to serve the higher education needs of India and the world beyond.</p>

Shiv Nadar University

A two stage solution methodology for deterministic unit commitment problem

2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering, UPCON 2016

Inclusion of renewable energy resources with existing conventional generation resources summons revisit to optimization methods used in the field of generation scheduling. The Unit Commitment problem in itself is a highly convoluted problem governed by complex time varying constraints. It gets even more complicated when additional constraints are added due to inclusion of renewable generation backed up by battery storage system. An effort has been made in this paper to improve the model for solving the Unit Commitment problem of conventional thermal generation in conjunction with renewable energy based generation system with storage. A hybrid artificial intelligence based multiple stage solution methodology is envisaged to provide a techno-economical optimal solution to the problem. The proposed methodology provides economically better solution to the Unit Commitment problem of ten thermal generators when integrated with battery supported wind and solar generation. The overall operational cost gets reduced due to integration of renewable resources which gets further reduced by incorporating battery with a novel optimized charge/discharge scheduling technique. © 2018 - IOS Press and the authors. All rights reserved.

Journal of Intelligent and Fuzzy Systems

A multi-stage hybrid artificial intelligence based optimal solution for energy storage integrated mixed generation unit commitment problem

International Journal of Engineering and Advanced Technology Regular Issue

Hybrid Search Optimization Algorithms for the Security Constrained Unit Commitment Solution

IET Generation, Transmission & Distribution

Multi-objective unit commitment using search space-based crazy particle swarm optimisation and normal boundary intersection technique

Energy

Advanced three-stage pseudo-inspired weight-improved crazy particle swarm optimization for unit commitment problem

A new three-stage method for solving unit commitment problem