Fault Reconfiguration Strategies of Active Distribution Network With Uncertain Factors for Maximum Supply Capacity Enhancement

Weixing Qiu,Jing Xu,Xudan Sheng,Xiaoqin Wang,Wanli He,Yang Xin,Jiabin Jv

doi:10.1109/access.2021.3051230

Weixing Qiu, Jing Xu + Show 5 more

Open Access

https://doi.org/10.1109/access.2021.3051230

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Abstract

With a large number of distributed generation connected to the distribution network, the total supply capacity of the distribution network has been improved to a certain extent. However, due to the randomness of its output, it also brings some challenges to the reliable operation of the distribution network and the restoration of power supply after failure. Based on this, this paper proposes an active distribution network reconfiguration strategy with uncertain factors for maximum total supply capacity improvement. Firstly, the evaluation index of the maximum total supply capacity of distribution network is constructed, and the maximum total supply capacity index under the current operation mode is evaluated online through the calculation model of maximum total supply capacity based on N-1 security criterion. Then, the uncertainty of wind power, photovoltaic and electric vehicle DG and the stochastic model of prosumer load are considered, random variables are generated by Latin hypercube sampling (LHS) and their correlation is considered. Then, it introduces that the position of sectionalizing switch and tie switch can be adjusted according to the dispatching demand. Based on the evaluation index of maximum total supply capacity and DG output of uncertain factors, the active reconfiguration model of distribution network after fault is proposed. Finally, a calculation example illustrates the effectiveness and correctness of the model in this paper. It is demonstrated that the model can optimize the selection strategy of Section switch and tie switch after the fault of distribution network, improve the utilization rate of distributed energy, and give full play to the power supply recovery potential of distribution network and reduce the outage time of prosumer groups.

Highlights

With the construction of active distribution network [1], a large number of DG access can balance part of the load nearby, and has an impact on the load prediction of distribution network side [2]
The construction and access of DG must be fully considered in the planning of future active distribution network
With the trend of DG penetration increasing in the future, it is very important to accurately predict the DG output in the planning area

Summary

INTRODUCTION

With the construction of active distribution network [1], a large number of DG access can balance part of the load nearby, and has an impact on the load prediction of distribution network side [2]. In reference [8,9,10], a calculation model of maximum total supply capacity considering DG location and network reconfiguration [11] was established to maximize the expected load magnification under typical DG output scenarios. Reference [12] established a two-level optimization model of maximum total supply capacity considering the uncertainty of DG output. This paper proposes an active reconfiguration strategy for distribution network after fault, which is oriented to the improvement of maximum total supply capacity, the models of wind power, photovoltaic power and electric vehicle power generation are established, and the Latin hypercube sampling method is used to obtain the power flow distribution of wind and light under such conditions. In addition to the overall TSC of distribution network, the TSC model and calculation need to give the load distribution on each main transformer and feeder when reaching TSC

MODEL OF MAXIMUM TOTAL SUPPLY CAPACITY

MODE OF UNCERTAIN FACTORS

PROSUMER GROUPS LOAD STOCHASTIC MODEL

STOCHASTIC MODEL OF ELECTRIC VEHICLE

POST FAULT RECONFIGURATION MODEL OF DISTRIBUTION NETWORK

POST FAULT RECONFIGURATION MODEL OF ACTIVE

CASE STUDY

Wind power output Photovoltaic output

CONCLUSION