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Optimal allocation of distributed generation and capacitor banks using probabilistic generation models with correlations

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  • Pereira, Luan D.L.
  • Yahyaoui, Imene
  • Fiorotti, Rodrigo
  • de Menezes, Luíza S.
  • Fardin, Jussara F.
  • Rocha, Helder R.O.
  • Tadeo, Fernando

Abstract

The allocation of distributed generation and capacitor banks is critical for success in the planning of power grids. A methodology is developed for the optimal placement of distributed renewable generation (wind and photovoltaic powers) and capacitor banks is developed based on technical and economic parameters. In order to preserve the horoseasonal and stochastic dependence nature of the wind and solar power, the methodology uses a model that integrates the sequential Monte Carlo method and the diagonal band Copula model, integrating historical data of wind speed, solar radiation and feeder load from the region of study. An efficient algorithm based on Genetic Algorithms is proposed to implement the optimization. The algorithm validation demonstrates a reduction of up to 71.7% in annual losses of active power in the Bandeira feeder and 73.4% in the Recife feeder, with adequate voltage levels and a return on investment of 6–7 years.

Suggested Citation

  • Pereira, Luan D.L. & Yahyaoui, Imene & Fiorotti, Rodrigo & de Menezes, Luíza S. & Fardin, Jussara F. & Rocha, Helder R.O. & Tadeo, Fernando, 2022. "Optimal allocation of distributed generation and capacitor banks using probabilistic generation models with correlations," Applied Energy, Elsevier, vol. 307(C).
  • Handle: RePEc:eee:appene:v:307:y:2022:i:c:s0306261921013775
    DOI: 10.1016/j.apenergy.2021.118097
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    1. Azeredo, Lucas F.S. & Yahyaoui, Imene & Fiorotti, Rodrigo & Fardin, Jussara F. & Garcia-Pereira, Hilel & Rocha, Helder R.O., 2023. "Study of reducing losses, short-circuit currents and harmonics by allocation of distributed generation, capacitor banks and fault current limiters in distribution grids," Applied Energy, Elsevier, vol. 350(C).
    2. Luis A. Gallego Pareja & Jesús M. López-Lezama & Oscar Gómez Carmona, 2023. "A MILP Model for Optimal Conductor Selection and Capacitor Banks Placement in Primary Distribution Systems," Energies, MDPI, vol. 16(11), pages 1-21, May.
    3. Zohaib Hussain Leghari & Mahesh Kumar & Pervez Hameed Shaikh & Laveet Kumar & Quynh T. Tran, 2022. "A Critical Review of Optimization Strategies for Simultaneous Integration of Distributed Generation and Capacitor Banks in Power Distribution Networks," Energies, MDPI, vol. 15(21), pages 1-40, November.
    4. Ahmed O. Badr & Abdulsalam A. Aloukili & Metwally A. El-Sharkawy & Mariam A. Sameh & Mahmoud A. Attia, 2022. "Compensation of Distributed Generations Outage Using Controlled Switched Capacitors," Sustainability, MDPI, vol. 14(23), pages 1-24, December.
    5. Yujuan Yang & Ronghua Wu & Yuanbo Yue & Yao Zhang & Yuanyuan Sun & Shunjie Liu, 2023. "Heating Performance and Economic Analysis of Solar-Assisted Cold-Water Phase-Change-Energy Heat Pump System in Series and Parallel Connections," Energies, MDPI, vol. 16(16), pages 1-21, August.
    6. Abdullah M. Shaheen & Ehab E. Elattar & Nadia A. Nagem & Asmaa F. Nasef, 2023. "Allocation of PV Systems with Volt/Var Control Based on Automatic Voltage Regulators in Active Distribution Networks," Sustainability, MDPI, vol. 15(21), pages 1-23, November.
    7. Zulfiqar Ali Memon & Mohammad Amin Akbari, 2023. "Optimizing Hybrid Photovoltaic/Battery/Diesel Microgrids in Distribution Networks Considering Uncertainty and Reliability," Sustainability, MDPI, vol. 15(18), pages 1-23, September.
    8. Huang, Nantian & Zhao, Xuanyuan & Guo, Yu & Cai, Guowei & Wang, Rijun, 2023. "Distribution network expansion planning considering a distributed hydrogen-thermal storage system based on photovoltaic development of the Whole County of China," Energy, Elsevier, vol. 278(C).

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