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Locational Pricing to Mitigate Voltage Problems Caused by High PV Penetration

Author

Listed:
  • Sam Weckx

    (Division Electrical Energy and Computer Architectures, Department of Electrical Engineering, Katholieke Universiteit Leuven (ELECTA, KU Leuven), Kasteelpark Arenberg 10, bus 2445, 3001 Leuven, Belgium
    Vlaamse Instelling voor Technologisch Onderzoek (VITO), Boerentang 200, 2400 Mol, Belgium)

  • Reinhilde D'hulst

    (Vlaamse Instelling voor Technologisch Onderzoek (VITO), Boerentang 200, 2400 Mol, Belgium)

  • Johan Driesen

    (Division Electrical Energy and Computer Architectures, Department of Electrical Engineering, Katholieke Universiteit Leuven (ELECTA, KU Leuven), Kasteelpark Arenberg 10, bus 2445, 3001 Leuven, Belgium)

Abstract

In this paper, a locational marginal pricing algorithm is proposed to control the voltage in unbalanced distribution grids. The increasing amount of photovoltaic (PV) generation installed in the grid may cause the voltage to rise to unacceptable levels during periods of low consumption. With locational prices, the distribution system operator can steer the reactive power consumption and active power curtailment of PV panels to guarantee a safe network operation. Flexible loads also respond to these prices. A distributed gradient algorithm automatically defines the locational prices that avoid voltage problems. Using these locational prices results in a minimum cost for the distribution operator to control the voltage. Locational prices can differ between the three phases in unbalanced grids. This is caused by a higher consumption or production in one of the phases compared to the other phases and provides the opportunity for arbitrage, where power is transferred from a phase with a low price to a phase with a high price. The effect of arbitrage is analyzed. The proposed algorithm is applied to an existing three-phase four-wire radial grid. Several simulations with realistic data are performed.

Suggested Citation

  • Sam Weckx & Reinhilde D'hulst & Johan Driesen, 2015. "Locational Pricing to Mitigate Voltage Problems Caused by High PV Penetration," Energies, MDPI, vol. 8(5), pages 1-22, May.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:5:p:4607-4628:d:49897
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    References listed on IDEAS

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    Cited by:

    1. Gorrasi, Chiara & Bruninx, Kenneth & Delarue, Erik, 2024. "Comparison of market designs ensuring network integrity in low voltage distribution systems with high DER penetration," Applied Energy, Elsevier, vol. 372(C).
    2. Kongrit Mansiri & Sukruedee Sukchai & Chatchai Sirisamphanwong, 2018. "Fuzzy Control for Smart PV-Battery System Management to Stabilize Grid Voltage of 22 kV Distribution System in Thailand," Energies, MDPI, vol. 11(7), pages 1-19, July.
    3. Ashraf Ramadan & Mohamed Ebeed & Salah Kamel & Ahmed M. Agwa & Marcos Tostado-Véliz, 2022. "The Probabilistic Optimal Integration of Renewable Distributed Generators Considering the Time-Varying Load Based on an Artificial Gorilla Troops Optimizer," Energies, MDPI, vol. 15(4), pages 1-22, February.
    4. José Miguel Paredes-Parra & Antonio Mateo-Aroca & Guillermo Silvente-Niñirola & María C. Bueso & Ángel Molina-García, 2018. "PV Module Monitoring System Based on Low-Cost Solutions: Wireless Raspberry Application and Assessment," Energies, MDPI, vol. 11(11), pages 1-20, November.
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    6. Su Su & Yong Hu & Tiantian Yang & Shidan Wang & Ziqi Liu & Xiangxiang Wei & Mingchao Xia & Yutaka Ota & Koji Yamashita, 2018. "Research on an Electric Vehicle Owner-Friendly Charging Strategy Using Photovoltaic Generation at Office Sites in Major Chinese Cities," Energies, MDPI, vol. 11(2), pages 1-19, February.
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    8. Ashraf Ramadan & Mohamed Ebeed & Salah Kamel & Almoataz Y. Abdelaziz & Hassan Haes Alhelou, 2021. "Scenario-Based Stochastic Framework for Optimal Planning of Distribution Systems Including Renewable-Based DG Units," Sustainability, MDPI, vol. 13(6), pages 1-23, March.

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