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Evaluation of economic regulation in distribution systems with distributed generation

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  • Huang, Yalin
  • Söder, Lennart

Abstract

The economic regulation impact on distribution system investment is evaluated by a network expansion planning model in this paper. Distributed generation (DG) integration has been taken into consideration in network investment worldwide. In most studies DG units are planned by distribution system operators (DSOs). However, in some countries DSOs are not allowed to own generation due to unbundling regulation. In the proposed model formulation, DG units are not owned by the DSOs. Moreover, fluctuation from load and DG in the planning periods, DG curtailment possibility and regulation on losses and DG connection fees are altogether considered. Different regulation arrangements are studied in the same testing network and the resulting network expansion costs are compared. The main value of this paper lies in the application of network planning model to the economic regulation analysis, in the quantification of the impact of different economic regulation frameworks, and in the implications of different regulation choices concerning distributed generation integration.

Suggested Citation

  • Huang, Yalin & Söder, Lennart, 2017. "Evaluation of economic regulation in distribution systems with distributed generation," Energy, Elsevier, vol. 126(C), pages 192-201.
    • Handle: RePEc:eee:energy:v:126:y:2017:i:c:p:192-201
    DOI: 10.1016/j.energy.2017.03.019
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    Cited by:

    1. Grimm, Veronika & Grübel, Julia & Rückel, Bastian & Sölch, Christian & Zöttl, Gregor, 2020. "Storage investment and network expansion in distribution networks: The impact of regulatory frameworks," Applied Energy, Elsevier, vol. 262(C).
    2. Luis Fernando Grisales-Noreña & Daniel Gonzalez Montoya & Carlos Andres Ramos-Paja, 2018. "Optimal Sizing and Location of Distributed Generators Based on PBIL and PSO Techniques," Energies, MDPI, vol. 11(4), pages 1-27, April.
    3. Xu, Xinkuo & Guan, Chengmei & Jin, Jiayu, 2018. "Valuing the carbon assets of distributed photovoltaic generation in China," Energy Policy, Elsevier, vol. 121(C), pages 374-382.
    4. Senthil Kumar, J. & Charles Raja, S. & Jeslin Drusila Nesamalar, J. & Venkatesh, P., 2018. "Optimizing renewable based generations in AC/DC microgrid system using hybrid Nelder-Mead – Cuckoo Search algorithm," Energy, Elsevier, vol. 158(C), pages 204-215.
    5. Cambini, Carlo & Soroush, Golnoush, 2019. "Designing grid tariffs in the presence of distributed generation," Utilities Policy, Elsevier, vol. 61(C).
    6. Wang, Ziyao & Zhong, Lipeng & Pan, Zhenning & Yu, Tao & Qiu, Xingyu, 2022. "Optimal double Q AC-DC hybrid distribution system planning with explicit topology-variable-based reliability assessment," Applied Energy, Elsevier, vol. 322(C).
    7. Yongchun Yang & Xiaodan Wang & Jingjing Luo & Jie Duan & Yajing Gao & Hong Li & Xiangning Xiao, 2017. "Multi-Objective Coordinated Planning of Distributed Generation and AC/DC Hybrid Distribution Networks Based on a Multi-Scenario Technique Considering Timing Characteristics," Energies, MDPI, vol. 10(12), pages 1-29, December.
    8. Hong Li & Xiaodan Wang & Jie Duan & Feifan Chen & Yajing Gao, 2018. "Locating Optimization of an Integrated Energy Supply Centre in a Typical New District Based on the Load Density," Energies, MDPI, vol. 11(4), pages 1-22, April.
    9. Ghasemi, Mostafa & Dashti, Reza, 2018. "Designing a decision model to assess the reward and penalty scheme of electric distribution companies," Energy, Elsevier, vol. 147(C), pages 329-336.

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