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Research on Renewable-Energy Accommodation-Capability Evaluation Based on Time-Series Production Simulations

Author

Listed:
  • Dan Zhou

    (College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

  • Qi Zhang

    (College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

  • Yangqing Dan

    (Economic and Technological Research Institute, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310016, China)

  • Fanghong Guo

    (College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

  • Jun Qi

    (College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

  • Chenyuan Teng

    (College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

  • Wenwei Zhou

    (College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

  • Haonan Zhu

    (College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

Abstract

In recent years, renewable energy has received extensive attention due to its advantages of sustainability, economy, and environmental protection. However, with the rapid development of renewable energy, the problem of curtailment is becoming increasingly serious. Studying the calculation method and establishing a quantitative evaluation system of renewable energy accommodation capacity are important means to solve this problem. This paper comprehensively considers the factors affecting the accommodation of renewable energy, establishes a accommodation calculation model with the maximum accommodation of renewable energy as the optimization target based on the time series production simulation method, and uses the hybrid particle swarm optimization (PSO) algorithm to solve it. The model is verified with historical data such as load, photovoltaic (PV), and wind power in a certain region throughout the year. The experimental results verify the rationality of the renewable-energy accommodation-capacity model proposed in this paper and the correctness of the theoretical analysis. The calculation results have important reference and guiding significance for the operation and control of power-grid planning and dispatching.

Suggested Citation

  • Dan Zhou & Qi Zhang & Yangqing Dan & Fanghong Guo & Jun Qi & Chenyuan Teng & Wenwei Zhou & Haonan Zhu, 2022. "Research on Renewable-Energy Accommodation-Capability Evaluation Based on Time-Series Production Simulations," Energies, MDPI, vol. 15(19), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:6987-:d:923272
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    References listed on IDEAS

    as
    1. Xin Long Xu & Sen Qiao & Hsing Hung Chen, 2020. "Exploring the efficiency of new energy generation: Evidence from OECD and non-OECD countries," Energy & Environment, , vol. 31(3), pages 389-404, May.
    2. Moretti, Luca & Astolfi, Marco & Vergara, Claudio & Macchi, Ennio & Pérez-Arriaga, Josè Ignacio & Manzolini, Giampaolo, 2019. "A design and dispatch optimization algorithm based on mixed integer linear programming for rural electrification," Applied Energy, Elsevier, vol. 233, pages 1104-1121.
    3. Hou, Lingxi & Li, Weiqi & Zhou, Kui & Jiang, Qirong, 2019. "Integrating flexible demand response toward available transfer capability enhancement," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    4. Thomas, Dimitrios & Deblecker, Olivier & Ioakimidis, Christos S., 2018. "Optimal operation of an energy management system for a grid-connected smart building considering photovoltaics’ uncertainty and stochastic electric vehicles’ driving schedule," Applied Energy, Elsevier, vol. 210(C), pages 1188-1206.
    5. Dingbang, Cang & Cang, Chen & Qing, Chen & Lili, Sui & Caiyun, Cui, 2021. "Does new energy consumption conducive to controlling fossil energy consumption and carbon emissions?-Evidence from China," Resources Policy, Elsevier, vol. 74(C).
    6. Hongji Lin & Chongyu Wang & Fushuan Wen & Chung-Li Tseng & Jiahua Hu & Li Ma & Menghua Fan, 2019. "Risk-Limiting Real-Time Economic Dispatch in a Power System with Flexibility Resources," Energies, MDPI, vol. 12(16), pages 1-23, August.
    7. Chutian Yu & Xinyi Lai & Fei Chen & Chenwei Jiang & Yikai Sun & Lijun Zhang & Fushuan Wen & Donglian Qi, 2022. "Multi-Time Period Optimal Dispatch Strategy for Integrated Energy System Considering Renewable Energy Generation Accommodation," Energies, MDPI, vol. 15(12), pages 1-18, June.
    8. Huang, Zhigang & Huang, Le, 2020. "Individual new energy consumption and economic growth in China," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    9. Haghighat Mamaghani, Alireza & Avella Escandon, Sebastian Alberto & Najafi, Behzad & Shirazi, Ali & Rinaldi, Fabio, 2016. "Techno-economic feasibility of photovoltaic, wind, diesel and hybrid electrification systems for off-grid rural electrification in Colombia," Renewable Energy, Elsevier, vol. 97(C), pages 293-305.
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