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Credible capacity calculation method of distributed generation based on equal power supply reliability criterion

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  • Chen, Jiahao
  • Sun, Bing
  • Li, Yunfei
  • Jing, Ruipeng
  • Zeng, Yuan
  • Li, Minghao

Abstract

Increasing distributed generation (DG) enables distribution network (DN) carry more load. Therefore, DG includes both electricity and capacity values. The DG capacity value can be regarded as increased load capacity under equal power supply reliability, typically referred to as credible capacity (CC). A CC calculation method of DG based on equal power supply reliability criterion is proposed in the paper. The unserved electricity under fault state and insufficient electricity under normal state are both considered in reliability estimation for the first time. Firstly, an island partition optimization model is established to evaluate the unserved electricity under fault state. A heuristic prospective greedy algorithm is utilized to formulate the island schemes dynamically. Then, a minimizing load curtailment model is established to evaluate the insufficient power supply under normal state. DN steady-state security region method is introduced to avoid repeated power flow calculation. Finally, the DG CC calculation is conducted for the IEEE 33-bus system by the proposed method. It is found that the CC value will have a big deviation if the insufficient electricity under normal state is ignored. When the DG permeability increases from 10% to 50%, the CC value is about 30%–20% of the total capacity.

Suggested Citation

  • Chen, Jiahao & Sun, Bing & Li, Yunfei & Jing, Ruipeng & Zeng, Yuan & Li, Minghao, 2022. "Credible capacity calculation method of distributed generation based on equal power supply reliability criterion," Renewable Energy, Elsevier, vol. 201(P1), pages 534-547.
  • Handle: RePEc:eee:renene:v:201:y:2022:i:p1:p:534-547
    DOI: 10.1016/j.renene.2022.10.129
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    as
    1. Mills, Andrew D. & Rodriguez, Pía, 2020. "A simple and fast algorithm for estimating the capacity credit of solar and storage," Energy, Elsevier, vol. 210(C).
    2. Xu, Keyi & Yan, Jie & Zhang, Hao & Zhang, Haoran & Han, Shuang & Liu, Yongqian, 2021. "Quantile based probabilistic wind turbine power curve model," Applied Energy, Elsevier, vol. 296(C).
    3. Tapetado, Pablo & Usaola, Julio, 2019. "Capacity credits of wind and solar generation: The Spanish case," Renewable Energy, Elsevier, vol. 143(C), pages 164-175.
    4. Wang, Meng & Peng, Jinqing & Luo, Yimo & Shen, Zhicheng & Yang, Hongxing, 2021. "Comparison of different simplistic prediction models for forecasting PV power output: Assessment with experimental measurements," Energy, Elsevier, vol. 224(C).
    5. Paik, Chunhyun & Chung, Yongjoo & Kim, Young Jin, 2021. "ELCC-based capacity credit estimation accounting for uncertainties in capacity factors and its application to solar power in Korea," Renewable Energy, Elsevier, vol. 164(C), pages 833-841.
    6. Rajamand, Sahbasadat, 2020. "Effect of demand response program of loads in cost optimization of microgrid considering uncertain parameters in PV/WT, market price and load demand," Energy, Elsevier, vol. 194(C).
    7. Zeng, Bo & Sun, Bo & Wei, Xuan & Gong, Dunwei & Zhao, Dongbo & Singh, Chanan, 2020. "Capacity value estimation of plug-in electric vehicle parking-lots in urban power systems: A physical-social coupling perspective," Applied Energy, Elsevier, vol. 265(C).
    8. He, Xiuqiang & Geng, Hua & Mu, Gang, 2021. "Modeling of wind turbine generators for power system stability studies: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    9. Sun, Bing & Yu, Yixin & Qin, Chao, 2017. "Should China focus on the distributed development of wind and solar photovoltaic power generation? A comparative study," Applied Energy, Elsevier, vol. 185(P1), pages 421-439.
    10. Hou, Qingchun & Zhang, Ning & Du, Ershun & Miao, Miao & Peng, Fei & Kang, Chongqing, 2019. "Probabilistic duck curve in high PV penetration power system: Concept, modeling, and empirical analysis in China," Applied Energy, Elsevier, vol. 242(C), pages 205-215.
    11. Sun, Wei & Harrison, Gareth P., 2019. "Wind-solar complementarity and effective use of distribution network capacity," Applied Energy, Elsevier, vol. 247(C), pages 89-101.
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