Dynamic programming for solving unit commitment and security problems in microgrid systems

Venkata Silpa Borra, K. Debnath

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedings

Abstract

In order to meet the demand of electrical energy by consumers, utilities have to maintain the security of the system. This paper presents a design of the Microgrid Central Energy Management System (MCEMS). It will plan operation of the system one-day advance. The MCEMS will adjust itself during operation if a fault occurs anywhere in the generation system. The proposed approach uses Dynamic Programming (DP) algorithm solves the Unit Commitment (UC) problem and at the same time enhances the security of power system. A case study is performed with ten subsystems. The DP is used to manage the operation of the subsystems and determines the UC on the situation demands. Faults are applied to the system and the DP corrects the UC problem with appropriate power sources to maintain reliability supply. The MATLAB software has been used to simulate the operation of the system.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Innovative Research and Development, ICIRD 2018
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-6
Number of pages6
ISBN (Electronic)9781538656969
DOIs
Publication statusPublished - 8 Jun 2018
Event2018 IEEE International Conference on Innovative Research and Development, ICIRD 2018 - Bangkok, Thailand
Duration: 11 May 201812 May 2018

Conference

Conference2018 IEEE International Conference on Innovative Research and Development, ICIRD 2018
CountryThailand
CityBangkok
Period11/05/1812/05/18

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  • Cite this

    Borra, V. S., & Debnath, K. (2018). Dynamic programming for solving unit commitment and security problems in microgrid systems. In 2018 IEEE International Conference on Innovative Research and Development, ICIRD 2018 (pp. 1-6). [17841981 ] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICIRD.2018.8376313