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Day-Ahead Robust Economic Dispatch Considering Renewable Energy and Concentrated Solar Power Plants

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  • Jiawen Bai

    (School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710079, China)

  • Tao Ding

    (School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710079, China)

  • Zhe Wang

    (State Grid Jibei Electric Power Company Ltd., Beijing 100054, China)

  • Jianhua Chen

    (State Grid Jibei Electric Power Company Ltd., Beijing 100054, China)

Abstract

A concentrated solar power (CSP) plant with energy storage systems has excellent scheduling flexibility and superiority to traditional thermal power generation systems. In this paper, the operation mechanism and operational constraints of the CSP plant are specified. Furthermore, the uncertainty of the solar energy received by the solar field is considered and a robust economic dispatch model with CSP plants and renewable energy resources is proposed, where uncertainty is adjusted by the automatic generation control (AGC) regulation in the day-ahead ancillary market, so that the system security is guaranteed under any realization of the uncertainty. Finally, the proposed robust economic dispatch has been studied on an improved IEEE 30-bus test system, and the results verify the proposed model.

Suggested Citation

  • Jiawen Bai & Tao Ding & Zhe Wang & Jianhua Chen, 2019. "Day-Ahead Robust Economic Dispatch Considering Renewable Energy and Concentrated Solar Power Plants," Energies, MDPI, vol. 12(20), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:3832-:d:274996
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    Cited by:

    1. Xianhua Gao & Shangshang Wei & Chunlin Xia & Yiguo Li, 2022. "Flexible Operation of Concentrating Solar Power Plant with Thermal Energy Storage Based on a Coordinated Control Strategy," Energies, MDPI, vol. 15(13), pages 1-16, July.
    2. Yachao Pan & Fubin Yang & Hongguang Zhang & Yinlian Yan & Anren Yang & Jia Liang & Mingzhe Yu, 2022. "Performance Prediction and Working Fluid Active Design of Organic Rankine Cycle Based on Molecular Structure," Energies, MDPI, vol. 15(21), pages 1-22, November.
    3. Oluwaseun M. Akeyo & Aron Patrick & Dan M. Ionel, 2020. "Study of Renewable Energy Penetration on a Benchmark Generation and Transmission System," Energies, MDPI, vol. 14(1), pages 1-14, December.
    4. Ruifeng Shi & Penghui Zhang & Jie Zhang & Li Niu & Xiaoting Han, 2020. "Multidispatch for Microgrid including Renewable Energy and Electric Vehicles with Robust Optimization Algorithm," Energies, MDPI, vol. 13(11), pages 1-15, June.
    5. Norambuena-Guzmán, Valentina & Palma-Behnke, Rodrigo & Hernández-Moris, Catalina & Cerda, Maria Teresa & Flores-Quiroz, Ángela, 2024. "Towards CSP technology modeling in power system expansion planning," Applied Energy, Elsevier, vol. 364(C).
    6. Mihail Busu, 2020. "Analyzing the Impact of the Renewable Energy Sources on Economic Growth at the EU Level Using an ARDL Model," Mathematics, MDPI, vol. 8(8), pages 1-18, August.

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