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Successive MISOCP Algorithm for Islanded Distribution Networks with soft open points

CSEE Journal of Power and Energy Systems 2023年第1期9卷 209-220页

作者： Tao Zhang Yunfei Mu Hongjie Jia Xinying Wang Tianjiao Pu Key Laboratory of Smart Grid of Ministry of Education Key Laboratory of Smart Energy&Information Technology of Tianjin MunicipalityTianjin UniversityTianjin 300072China e China Electric Power Research Institute Beijing 100192China

An optimal operation scheme is of great significance in islanded distribution networks to restore critical loads and has recently attracted considerable attention.In this paper,an optimal power flow(OPF)model for islanded distribution networks equipped with soft open points(SOPs)is proposed.Unlike in the grid-connected mode,the adequacy of local power generation in distribution networks is critical for islanded systems.The proposed approach utilizes the power output of local distributed generations(DGs)and the benefits of reactive power compensation provided by SOPs to allow maximum loadability.To exploit the available resources,an optimal secondary droop control strategy is introduced for the islanded distribution networks,thereby minimizing load shedding.The formulated OPF problem is essentially a mixed-integer nonlinear programming(MINLP)model.To guarantee the computation efficiency and accuracy.A successive mixed-integer second-order cone programming(SMISOCP)algorithm is proposed for handling the nonlinear islanded power flow formulations.Two case studies,incorporating a modified IEEE 33-bus system and IEEE 123-bus system,are performed to test the effectiveness of the proposed approach.

关键词： Distribution network islanded operation second-order cone programming soft open points successive approximation

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Multi-source coordinated stochastic restoration for SOP in distribution networks with a two-stage algorithm

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Global Energy Interconnection 2023年第2期6卷 141-153页

作者： Xianxu Huo Pan Zhang Tao Zhang Shiting Sun Zhanyi Li Lei Dong Electric Power Research Institute of State Grid Tianjin Electric Power Company Tianjin 300384P.R.China School of Electrical and Electronics Engineering North China Electric Power UniversityBeijing 102206P.R.China State Grid Tianjin Baodi Electric Power Supply Company Tianjin 301800P.R.China

After suffering from a grid blackout, distributed energy resources(DERs), such as local renewable energy and controllable distributed generators and energy storage can be used to restore loads enhancing the system’s resilience. In this study, a multi-source coordinated load restoration strategy was investigated for a distribution network with soft open points(SOPs). Here, the flexible regulation ability of the SOPs is fully utilized to improve the load restoration level while mitigating voltage deviations. Owing to the uncertainty, a scenario-based stochastic optimization approach was employed,and the load restoration problem was formulated as a mixed-integer nonlinear programming model. A computationally efficient solution algorithm was developed for the model using convex relaxation and linearization methods. The algorithm is organized into a two-stage structure, in which the energy storage system is dispatched in the first stage by solving a relaxed convex problem. In the second stage, an integer programming problem is calculated to acquire the outputs of both SOPs and power resources. A numerical test was conducted on both IEEE 33-bus and IEEE 123-bus systems to validate the effectiveness of the proposed strategy.

关键词： Load restoration soft open points Distribution network Stochastic optimization Two-stage algorithm

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