Reliability Enhancement Based on Demand Response for Profit Maximization

G. S. Sivasankari, S. Prasanthini, N. Vijithra, K. Narayanan, Gulshan Sharma, Tomonobu Senjyu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The penetration of renewable resources influences the demand-supply balance of the system and the mismatch that arises needs to be reduced to a possible extent by the approach of Demand Response (DR). In this work, the idea of DR is proposed by the load management technique. The concept of load shedding has a huge impact on the system's reliability. The proper and advanced scheduling of the load according to energy availability helps to eliminate the unnecessary load shedding. The system reliability is computed at different potentials of DR to evaluate the effectiveness of the proposed DR and thereby profit analysis of the system is carried out. The proposed method is tested on IEEE 69 bus system and the results obtained are promising.

Original languageEnglish
Title of host publication2022 2nd International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665432153
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event2nd International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2022 - Virtual, Mathura, India
Duration: 21 Jan 202222 Jan 2022

Publication series

Name2022 2nd International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2022

Conference

Conference2nd International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2022
Country/TerritoryIndia
CityVirtual, Mathura
Period21/01/2222/01/22

Keywords

  • AENS
  • Demand Response
  • ENS
  • Load Shedding
  • Reliability Analysis
  • SAIDI
  • SAIFI

ASJC Scopus subject areas

  • Strategy and Management
  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization

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