Study of Stochastic Approach to Determine Value of Lost Load in Jawa-Madura-Bali System

Musa Partahi Marbun*, Herian Atma, Anindita Satria Surya, Ira Savitri

*Corresponding author for this work

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

3 Citations (Scopus)
195 Downloads (Pure)

Abstract

Jawa-Madura-Bali (JMB) electric power system is the largest electric power system in Indonesia, consuming more than 75% of the total power demand across the country. Therefore, most of the electric consumers in this region expect higher reliability than other areas in Indonesia. However, the national government applies a flat and uniform electrical tariff to the consumers. To justify any investment that satisfies higher reliability expectations, an indicator that defines reliability and financial measure is needed, namely the Value of Lost Load (VoLL). The calculation of VoLL has been conducted through different approaches and methods. This paper compares the approaches and methods of VoLL considering the availability of data and its role to justify the economic feasibility of new investments. The final recommendation for VoLL calculation was conducted on JMB electric power system using the Monte-Carlo approach to satisfy several uncertainty parameters.

Original languageEnglish
Title of host publication 4th International Conference on High Voltage Engineering and Power Systems, ICHVEPS 2023
Subtitle of host publicationProceedings of 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages471-475
Number of pages5
ISBN (Electronic)9798350318678
DOIs
Publication statusPublished - 26-Sept-2023
Event4th International Conference on High Voltage Engineering and Power Systems, ICHVEPS 2023 - Denpasar Bali, Indonesia
Duration: 6-Aug-202310-Aug-2023

Conference

Conference4th International Conference on High Voltage Engineering and Power Systems, ICHVEPS 2023
Country/TerritoryIndonesia
CityDenpasar Bali
Period06/08/202310/08/2023

Keywords

  • benefit
  • economic feasibility
  • monte-carlo
  • reliability
  • value of lost load

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