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.

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

Journal of Intelligent and Fuzzy Systems

<p>With the advent of rapid advancements in the energy storage technologies and in harnessing the renewable resources, a variety of mix of “Problem formulation techniques” and “Solution methodologies” have emerged for scheduling the power generation in Grid integrated environment. Multiple constituent attributes and their combinations thereof define the nature of Unit Commitment problem formulation in a complex way. An attempt has been made in this paper to consolidate the available research efforts, spanning over about past two decades, so as to unravel the rising complexities in developing the unit commitment formulation in this rapidly evolving green energy era. The prevailing unit commitment models have been thoroughly reviewed on the bases of deployment of different combinations of features like objective functions, constraints, optimization techniques, types of renewable generation, and types of storage. This review work presents, in a categorized manner, the viewpoints on problem formulation as well as on the solution methodologies. Further, a novel Unit Commitment model has been proposed by the authors wherein modeling details of each of them have been presented in a conscientious manner. The proposed model is unique as the battery charge/ discharge decision making has been included as a co-optimization problem with the existing Unit Commitment problem. The superiority of the proposed model has also been reported. © 2021 John Wiley &amp; Sons Ltd</p>

International Transactions on Electrical Energy Systems

Unit commitment problem in renewable integrated environment with storage: A review

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.

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

A two stage solution methodology for deterministic unit commitment problem

International Journal of Electrical Power & Energy Systems

Energy management at the distribution grid using a Battery Energy Storage System (BESS)

Energy

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

Renewable and Sustainable Energy Reviews

Recent advances in solar photovoltaic systems for emerging trends and advanced applications

Renewable Energy

Potential of lithium-ion batteries in renewable energy