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  • 1
    In: Energies, MDPI AG, Vol. 15, No. 20 ( 2022-10-18), p. 7690-
    Abstract: Increasing distributed generations (DGs) are integrated into the distribution network. The risk of not satisfying operation constraints caused by the uncertainty of renewable energy output is increasing. The energy storage (ES) could stabilize the fluctuation of renewable energy generation output. Therefore, it can promote the consumption of renewable energy. A distributed photovoltaic (PV) and ES optimal allocation method based on the security region is proposed. Firstly, a bi-level optimal allocation model of PV and ES is established. The outer layer is a nonlinear optimization model, taking the maximum power supply benefit as the objective function. The inner layer is a day-ahead economic dispatching model. Then, a quick model solving method based on the steady-state security region is proposed. An initial allocation scheme of PV and ES is determined with the redundancy capacity. In addition, the linear hyperplane coefficient of the security region is used to convert the nonlinear day-ahead economic dispatching model into a linear one. Finally, the proposed method is used to analyze the improved IEEE 33-node system. It is found that a moderate curtailment measure of distributed PV peak output and the allocation of energy storage have a significant effect on the power supply benefit of the distribution system. The optimal quota capacity of DG exceeds the sum of the maximum load and the branch capacity. In addition, the optimal allocation scheme is closely related to the cost and technical parameters of distributed PV and ES. Dynamic allocation schemes should be formulated for distribution network.
    Type of Medium: Online Resource
    ISSN: 1996-1073
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2437446-5
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  • 2
    Online Resource
    Online Resource
    Institution of Engineering and Technology (IET) ; 2023
    In:  IET Energy Systems Integration Vol. 5, No. 2 ( 2023-06), p. 152-179
    In: IET Energy Systems Integration, Institution of Engineering and Technology (IET), Vol. 5, No. 2 ( 2023-06), p. 152-179
    Abstract: The interactive demand of electrical power between integrated energy microgrid (IEMG) and smart distribution network (SDN) is growing rapidly with the increase of distributed generation (DG) installed capacity. When SDN and IEMG are connected through a single gird‐connected point, the renewable power consumption may be limited by tie‐line capacity. A distributed optimal dispatching method of the SDN considering the IEMG with multiple gird‐connected points is proposed. The impact of various flexible resources is also considered. Firstly, a IEMG connection mode, in which each IEMG can be connected to multiple nodes of the SDN, is designed. A distributed optimal dispatching method is proposed, by which the IEMG operation privacy and the SDN responsibility to consume renewable power can be considered. Then, the electric power on tie‐lines is taken as the coupling variable to establish the IEMG and SDN coordinated dispatching model. The model can be solved by adjusting the power upper limits of tie‐lines circularly. Finally, the improved IEEE 33‐bus system is analysed based on the proposed method. It is found that when the IEMG is with large DG installed capacity, multiple gird‐connected points can improve the SDN operation flexibility and increase the operation benefits of all entities.
    Type of Medium: Online Resource
    ISSN: 2516-8401 , 2516-8401
    URL: Issue
    Language: English
    Publisher: Institution of Engineering and Technology (IET)
    Publication Date: 2023
    detail.hit.zdb_id: 2971351-1
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  • 3
    Online Resource
    Online Resource
    Institute of Electrical and Electronics Engineers (IEEE) ; 2023
    In:  IEEE Transactions on Smart Grid
    In: IEEE Transactions on Smart Grid, Institute of Electrical and Electronics Engineers (IEEE)
    Type of Medium: Online Resource
    ISSN: 1949-3053 , 1949-3061
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2023
    detail.hit.zdb_id: 2560004-7
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