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Planning of New Distribution Network Considering Green Power Certificate Trading and Carbon Emissions Trading

Author

Listed:
  • Hujun Wang

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

  • Xiaodong Shen

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

  • Junyong Liu

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

Abstract

In order to adapt to the development of the green power certificate trading (GPCT) and carbon emissions trading (CET) market, reduce the carbon emissions of the distribution network and increase the investment income, this paper proposes a new distribution network (NDN) planning and simulation operation bi-layer model with new energy (NE) as the main body, considering the GPCT and CET mechanisms. First, the upper layer determines the capacity and location of wind turbine (WT), photovoltaic (PV), hydraulic turbine (HT), micro turbine (MT), and energy storage (ES), while the lower simulation operation considers the operation costs of WT, PV, HT, MT, ES, load demand response (DR) and carbon emissions. The planning objective was to minimize the total cost of investment, operation and carbon emissions in the planning period. Then, on the basis of a traditional distribution network (TDN), security constraints, carbon emissions intensity, GPCT volume and CET volume were added. Finally, the cases study of the improved IEEE33 node and PG&E69 node NDN planning were provided. The results of NDN planning and TDN planning are compared and analyzed, and a sensitivity analysis was carried out to study the impact of GPCT and CET mechanisms with different price levels on investment planning. The results verify the applicability and rationality of the model.

Suggested Citation

  • Hujun Wang & Xiaodong Shen & Junyong Liu, 2022. "Planning of New Distribution Network Considering Green Power Certificate Trading and Carbon Emissions Trading," Energies, MDPI, vol. 15(7), pages 1-22, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2435-:d:779911
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    References listed on IDEAS

    as
    1. Xiang, Yue & Cai, Hanhu & Gu, Chenghong & Shen, Xiaodong, 2020. "Cost-benefit analysis of integrated energy system planning considering demand response," Energy, Elsevier, vol. 192(C).
    2. Perdan, Slobodan & Azapagic, Adisa, 2011. "Carbon trading: Current schemes and future developments," Energy Policy, Elsevier, vol. 39(10), pages 6040-6054, October.
    3. Bartolini, Andrea & Mazzoni, Stefano & Comodi, Gabriele & Romagnoli, Alessandro, 2021. "Impact of carbon pricing on distributed energy systems planning," Applied Energy, Elsevier, vol. 301(C).
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    Cited by:

    1. Yudong Tan & Guosheng Xie & Yunhao Xiao & Yi Luo & Xintao Xie & Ming Wen, 2022. "Comprehensive Benefit Evaluation of Hybrid Pumped-Storage Power Stations Based on Improved Rank Correlation-Entropy Weight Method," Energies, MDPI, vol. 15(22), pages 1-17, November.
    2. Yixin Huang & Lei Zhao & Weiqiang Qiu & Yuhang Xu & Junyan Gao & Youxiang Yan & Tong Wu & Zhenzhi Lin, 2022. "Evaluation of Acceptance Capacity of Distributed Generation in Distribution Network Considering Carbon Emission," Energies, MDPI, vol. 15(12), pages 1-15, June.
    3. Meng, Yuxiang & Ma, Gang & Yao, Yunting & Li, Hao, 2024. "Nash bargaining based integrated energy agent optimal operation strategy considering negotiation pricing for tradable green certificate," Applied Energy, Elsevier, vol. 356(C).

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