Reliability evaluation and analysis of multi‐terminal interconnect power distribution system with flexible multi‐state switch

Liu, Wenxia; Huang, Yu-Chen; Yang, Yan‐Ru; Liu, Xin

doi:10.1049/iet-gtd.2020.0930

Cited by 5 publications

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A dynamic optimal operation model and scheduling architecture for active and reactive power coordination between flexible multistate switches and active distribution networks under multitime periods are established, and a model-solving method for second-order cone programming and nonlinear programming is proposed. The literature [8] (2020) proposes a reliability evaluation method for a multiterminal interconnected distribution system based on a flexible multistate switch, discusses the influence of FMSS access strategy on the system operation mode and network structure, and provides theoretical support for the planning of flexible interconnected distribution system. The literature [9] (2021) establishes the power flow model of an active distribution network, considers the influence of flexible multistate switch access, takes the comprehensive operation cost of the distribution network as the objective function, builds the second-order cone programming model of flexible multistate switch location in the active distribution network, and optimizes and solves it to obtain the optimal SOP planning scheme.…”

Section: Introductionmentioning

confidence: 99%

Research on the Access Planning of SOP and ESS in Distribution Network Based on SOCP-SSGA

Jia

Liao

et al. 2023

Processes

View full text Add to dashboard Cite

This paper proposes a two-stage planning model for soft open point (SOP) and energy storage system (ESS) that considers the cost of faults in response to the current issue of SOP and ESS systems not considering the impact of SOP access on load transfer in the event of a fault in the distribution network. Firstly, considering the uncertainty of “PV-load”, typical scenarios of PV and load are constructed based on the clustering algorithm. Secondly, aiming at the economic performance of the distribution network and the capacity of PV access, a two-stage optimization model is established for the joint integration of SOP and ESS into the distribution network (normal and fault operation) under typical scenarios. The model is solved by using the second-order cone programming algorithm and steady-state genetic algorithm (SOCP-SSGA). Stage one involves planning for the integration capacity and location of SOP and ESS into the distribution network under each scenario within a period based on SOCP with the goal of minimizing economic costs. In stage two, the PV access capacity of the distribution network is optimized using SSGA with the goal of enhancing the PV accommodation capability. Finally, verification and analysis are conducted on an improved IEEE33 node system. The results show that when the system optimizes access to a group of SOP and ESS, the total economic cost is reduced by RMB 61,729 compared to random access, and the accessible PV capacity is increased by 0.5278 MW. Moreover, optimizing access to two sets of SOP and ESS can further reduce the total economic cost by RMB 107,048 compared to the optimized access group and increase accessible PV capacity by 1.5751 MW. Therefore, the proposed plan for SOP and ESS planning in this paper can significantly reduce the economic cost of distribution networks, enhance the absorption capacity of distributed photovoltaics, improve the voltage level of power grid operation, and, thereby, improve the economic and reliability of distribution network operation.

show abstract

Section: Introductionmentioning

confidence: 99%