Abstract
Urban distribution network planning is a complex system engineering, which has the characteristics of large scale, many uncertain and imprecise factors and wide fields. Urban power grid planning is composed of spatial power load forecasting, substation optimization planning and distribution network planning, which is highly complex. At present, distribution network planning is mostly based on manual methods, and hierarchical analysis is usually used to analyze the current situation of equipment load rate, reliability, transfer rate and voltage qualification rate of distribution network. Urban distribution system planning has the characteristics of large amount of data, many uncertain factors, wide fields involved and rapid renewal and change. The complexity of planning makes it impossible for planners to plan only by relying on their previous work experience. Through the research on the auxiliary decision-making of distribution network planning, this paper optimizes and sorts the distribution network planning projects according to the distribution network basic operation information and distribution network operation evaluation results of the planning big data center, so as to improve the pertinence and effectiveness of distribution network planning.
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