Optimizing abnormal operations of off-grid community utility systems with fuzzy P-graph

Kathleen B. Aviso, Isidro Antonio V. Marfori, Raymond R. Tan, Aristotle T. Ubando

研究成果: Article同行評審

10 引文 斯高帕斯(Scopus)

摘要

Off-grid renewable energy systems provide opportunities to give electricity and other utilities to remote communities. Such communities may not have access to electricity, cooling, and purified water, or may require diesel-powered generators for such requirements. Mini- or micro-hydroelectric plants can be the core of facilities to meet these needs where there are sufficiently large rivers and favourable terrain. Such systems have advantages over solar or wind power in having minimal short-term fluctuations that necessitate the use of storage or back-up systems. Part of the power can be drawn off for drinking water purification or ice production. However, during drought, these facilities can suffer from a drop in output, in which case decision support would be needed to determine the optimal abnormal operating state during the crisis. A fuzzy P-graph approach is developed to determine the optimal solution in consideration of multiple product demands. Membership functions of the product demands are used to calibrate the degree of tolerable shortage based on community needs. The methodology is illustrated with a case study of a system operating under drought conditions. Results show that having a twin turbine MHP reduces the need to use a diesel back-up system, except in cases of extreme drought.

原文English
文章編號117725
期刊Energy
202
DOIs
出版狀態Published - 2020 7月 1

All Science Journal Classification (ASJC) codes

  • 土木與結構工程
  • 建築與營造
  • 污染
  • 機械工業
  • 工業與製造工程
  • 電氣與電子工程

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