Evaluation of the Energy Transaction Cost for Microgrid-Based Wheeling System Using Power Flow Tracing: a Case Study

Rezi Delfianti, Eki Rovianto, Avian Lukman Setya Budi, Ardyono Priyadi, Imam Abadi, Adi Soeprijanto

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The increasing use of microgrid-based renewable energy has led to energy trading. One of the energy trades arising is based on the utility's transmission network (wheeling case). However, it is necessary to calculate the price of electric energy transactions for all the wheeling players to get the appropriate profit. This study has used a Power Flow Tracing algorithm modified according to the load conditions and the sun conditions all the time. It uses the Power Flow Tracing method by considering transmission, loss, and profit margins based on actual usage. On the other hand, the calculation of transaction costs of electrical energy uses the MW-Mile method by considering power quality in order to determine transmission costs and network losses. At the same time, the Full Cost Method is used to calculate the profit margin on the side of the microgrid owner. This research provides the results of tracking power flow according to the actual usage. The price calculation considers all the contributing players such as utilities, microgrids, and consumers. The research also shows that the transaction distance affects the transaction price.

Original languageEnglish
Pages (from-to)154-163
Number of pages10
JournalInternational Review of Electrical Engineering
Volume17
Issue number2
DOIs
Publication statusPublished - 2022

Keywords

  • Energy Transaction
  • Power Flow Tracing
  • Pricing
  • Smart Grid

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