Research On Multi-Level Intelligent Governance Strategy Of Low-Voltage Issue In Distribution Network

As the end of the power supply,the distribution network is the most related to users,and is take charge of the important task of delivering high-quality power to our users.Once a fault occurs,it will not only affect the power consumption of users,but also may cause the power failure of the whole system,which will threat the safety of the grid.Meanwhile,the current operation and maintenance are still mainly manual,which cannot meet the growing requirement of users.Therefore,based on the intelligent power supply service command system,this paper proposes an intelligent governance strategy that is able to integrate diagnosis and governance regarding the unknown reasons for the low voltage problems and the lack of specificity for operation and maintenance strategies.Firstly,we theoretically analyzed the causes of the low voltage problems in actual operation and the main governance method of low voltage issues.Based on this,combined with manual experience,we summarized the data characteristics,and then propose a big data diagnosis method for the causes of low voltage problems in the distribution network to achieve the automatic judgment of the causes of low voltage problems;Secondly,according to the cause of low voltage,corresponding governance strategies are proposed from maintenance management and engineering reformation these two aspects.Among them,given the problem of unreasonable gears,a data-driven distribution transformer gear adjustment strategy is proposed.Considering the user side voltage qualification rate and the number of switching actions,the distribution transformer gear optimization model is established,and the multi-objective genetic algorithm based on the fuzzy analytic hierarchy process is proposed to solve the problem.For the three-phase load imbalance problem,we propose a load transfer strategy combining automatic commutation and manual assistance.For the station area with commutation device,we use three-phase imbalance degree and numbers of switching operation modeling our load transfer combination to obtain the transfer strategy.For the station area without commutation device,we consider a variety of load transfer combinations with artificial assistance to make decision based on voltage qualification rate.At the same time,during the engineering transformation of the station area,on one hand,the existing transformers are used in rotation or the appropriate transformer capacity is selected through the capacity selection model of the life cycle cost and load rate,and on the other hand,the reasonable planning of the transformer site selection is carried out by the load distance model.Then,based on the above strategies,the scheme selection steps are determined,and proposes the multi-level intelligent governance strategy of the distribution network.And the governance effect evaluation system is also determined at the same time.Finally,the development of the distribution network low voltage management system is carried out,and is applied in practical operation.The application results show that the system can not only recognize causes of low voltage,but also propose intelligent governance strategies to solve the question.It achieves the goal of "data sharing,business integration,vertical connection,and horizontal coordination" at all levels in the distribution station area.And it changes the " rush to repair" of voltage problem by experience to the management by data.The new system improves the reliability of the power supply and customer satisfaction,which helps to establish a harmonious relationship between power supply and consumption.