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Multi-Dimensional Indexes for the Sustainability Evaluation of an Active Distribution Network

Author

Listed:
  • Chenjun Sun

    (School of Electrical & Electronic Engineering, North China Electric Power University, Baoding 071003, China
    State Grid Hebei Electric Power Supply Co., Ltd., Shijiazhuang 050022, China)

  • Zengqiang Mi

    (School of Electrical & Electronic Engineering, North China Electric Power University, Baoding 071003, China)

  • Hui Ren

    (School of Electrical & Electronic Engineering, North China Electric Power University, Baoding 071003, China
    State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Baoding 071003, China)

  • Zhipeng Jing

    (State Grid Hebei Electric Power Corporation Limited Economic Technology Research Institute, Shijiazhuang 050021, China)

  • Jinling Lu

    (School of Electrical & Electronic Engineering, North China Electric Power University, Baoding 071003, China)

  • David Watts

    (Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Santiago, Chile
    Centro de Energía, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Santiago, Chile)

Abstract

An active distribution network (ADN) differs from a traditional distribution network in many aspects, one of which is the integration of a large amount of distributed generation (DG), especially intermittent photovoltaics (PVs). The integration of intermittent PVs has both pros and cons for the distribution system. As the platform on which new techniques work and the main body of a greener future energy system, the development of an ADN has to be sustainable, need-oriented, and environmentally friendly, and the traditional technical–economic evaluation method cannot meet the requirements and provide advice in the decision-making process. Based on the concept of sustainable development, we used an ADN with the integration of a large number of distributed PVs (DGPVs) as an example and established a multi-dimensional index system to evaluate the sustainable development level (SDI) of the ADN. The analysis was based on a platform we built with consideration of the investment feasibility of the DGPVs’ investors, state and industrial policies, and their interactions with the distribution system. We first compared the development of DGPVs and the SDI of the ADN as the carrier of DGPVs under different state policies, and second, we compared the SDIs of three city ADNs with different solar resources and demand levels, but under the same state policy. The analysis results showed that different integration levels of DGPVs can be set for a city/area ADN with different solar resources and demand to achieve a comparable SDI, and a comprehensive incentive mechanism could be adopted for the development of DGPVs. In this way, the benefits of different parties can be considered at the same time and finally, the coordination of the sustainable development of multi-parties can be achieved.

Suggested Citation

  • Chenjun Sun & Zengqiang Mi & Hui Ren & Zhipeng Jing & Jinling Lu & David Watts, 2019. "Multi-Dimensional Indexes for the Sustainability Evaluation of an Active Distribution Network," Energies, MDPI, vol. 12(3), pages 1-24, January.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:3:p:369-:d:200532
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    5. Jin-peng Liu & Yu Tian & Hao Zheng & Tao Yi, 2019. "Research on Dynamic Evolution Simulation and Sustainability Evaluation Model of China’s Power Supply and Demand System," Energies, MDPI, vol. 12(10), pages 1-23, May.
    6. Muhammad Shahroz Sultan & Syed Ali Abbas Kazmi & Abdullah Altamimi & Zafar A. Khan & Dong Ryeol Shin, 2023. "Multi-Objective Optimization-Based Approach for Optimal Allocation of Distributed Generation Considering Techno-Economic and Environmental Indices," Sustainability, MDPI, vol. 15(5), pages 1-30, February.
    7. Yan Nie & Guoxing Zhang, 2020. "Indicator system to evaluate the effectiveness and efficiency of China clean power systems," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1381-1401, October.
    8. Longze Wang & Shucen Jiao & Yu Xie & Saif Mubaarak & Delong Zhang & Jinxin Liu & Siyu Jiang & Yan Zhang & Meicheng Li, 2021. "A Permissioned Blockchain-Based Energy Management System for Renewable Energy Microgrids," Sustainability, MDPI, vol. 13(3), pages 1-19, January.

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