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Evaluation of the effect of high penetration of renewable energy sources (RES) on system frequency regulation using stochastic risk assessment technique (an approach based on improved cumulant)

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  • Habib, Arslan
  • Sou, Chan
  • Hafeez, Hafiz Muhammad
  • Arshad, Adeel

Abstract

The great proliferation of renewable energy generation worldwide has brought about severe challenges to system planning and operation, i.e. the increase of operating risks. Due to the volatility and uncertainty of wind/or photovoltaic (PV) power, a switch to probabilistic methods which could handle uncertain variables has been advocated. In this paper, Authors propose a stochastic risk assessment approach to give a comprehensive evaluation of system security considering frequency regulation under high penetration of wind/PV generation. Authors present a new way of evaluating the security for RES-integrated power systems with the consideration of primary frequency regulation. The assessment relies on an improved cumulant-based PLF method using the multi-linearized model. For fast identification of operating limit violations, authors develop a cumulant-based procedure to get the overall power flow information. In addition, multi-linear processing is employed to reduce the truncated error caused by linearized load flow model for accuracy enhancement. The proposed risk model fully considers the likelihood and consequences of limit violation events by quantifying associated risk indices. Authors demonstrate the salient feature of the proposed method on a modified IEEE 57-bus system and its prospect for on-line application.

Suggested Citation

  • Habib, Arslan & Sou, Chan & Hafeez, Hafiz Muhammad & Arshad, Adeel, 2018. "Evaluation of the effect of high penetration of renewable energy sources (RES) on system frequency regulation using stochastic risk assessment technique (an approach based on improved cumulant)," Renewable Energy, Elsevier, vol. 127(C), pages 204-212.
    • Handle: RePEc:eee:renene:v:127:y:2018:i:c:p:204-212
    DOI: 10.1016/j.renene.2018.04.063
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    References listed on IDEAS

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    1. Aien, Morteza & Rashidinejad, Masoud & Firuz-Abad, Mahmud Fotuhi, 2015. "Probabilistic optimal power flow in correlated hybrid wind-PV power systems: A review and a new approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1437-1446.
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    Cited by:

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    2. Woo Yeong Choi & Kyung Soo Kook & Hyeong-Jun Yoo, 2022. "Effect Quantification of BESS Providing Frequency Response on Penetration Limit of VER in Power Systems," Energies, MDPI, vol. 15(24), pages 1-16, December.
    3. Yue, Hui & Worrell, Ernst & Crijns-Graus, Wina, 2021. "Impacts of regional industrial electricity savings on the development of future coal capacity per electricity grid and related air pollution emissions – A case study for China," Applied Energy, Elsevier, vol. 282(PB).
    4. Alexis B. Rey-Boué & N. F. Guerrero-Rodríguez & Johannes Stöckl & Thomas I. Strasser, 2019. "Modeling and Design of the Vector Control for a Three-Phase Single-Stage Grid-Connected PV System with LVRT Capability according to the Spanish Grid Code," Energies, MDPI, vol. 12(15), pages 1-28, July.
    5. Stelios Loumakis & Evgenia Giannini & Zacharias Maroulis, 2019. "Renewable Energy Sources Penetration in Greece: Characteristics and Seasonal Variation of the Electricity Demand Share Covering," Energies, MDPI, vol. 12(12), pages 1-20, June.
    6. Parhizkar, Tarannom & Vinnem, Jan Erik & Utne, Ingrid Bouwer & Mosleh, Ali, 2021. "Supervised Dynamic Probabilistic Risk Assessment of Complex Systems, Part 1: General Overview," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    7. Hina Maqbool & Adnan Yousaf & Rao Muhammad Asif & Ateeq Ur Rehman & Elsayed Tag Eldin & Muhammad Shafiq & Habib Hamam, 2022. "An Optimized Fuzzy Based Control Solution for Frequency Oscillation Reduction in Electric Grids," Energies, MDPI, vol. 15(19), pages 1-21, September.

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