Evaluation standard making method for power distribution system operating efficiency

Abstract

The invention relates to an evaluation standard making method for power distribution system operating efficiency. The method comprises the steps that 1, a single-equipment operating efficiency evaluation standard parameter demand is determined; 2, a single-equipment operating efficiency evaluation standard model is established; 3, a single-equipment asset value weight is determined; 4, a same-layer equipment operating efficiency evaluation standard model is established; 5, an all-layer equipment asset value weight is determined; and 6, a power distribution system operating efficiency evaluation standard model is established. The operating efficiency evaluation standard models proposed in the method provide standards for power distribution network equipment and system operating efficiency evaluation; and by obtaining the deviation between actual operating efficiency and an evaluation standard interval through comparison, a weak link in a power distribution network can be discovered, it is beneficial for power distribution network planning and operating personnel to accurately position the problem of the power distribution network, technical support is provided for power distribution network investment decision making, planning and design, operation and maintenance and other links, and power distribution network investment, construction and development are guided to be more orderly.

Description

technical field [0001] The invention relates to methods in the fields of distribution network operation, monitoring and evaluation, and in particular to a method for formulating evaluation standards for distribution system operation efficiency. Background technique [0002] The distribution network has been significantly improved through years of construction and transformation, and generally meets the needs of economic and social development. However, due to the historical debts of the distribution network, the grid structure is not strong, and the reliability level is not high. Considering the lack of input and output in the development of the distribution network, the problem of unreasonable operation efficiency and investment benefit level of distribution network assets is more serious. Taking the load rate as an example, even in large and medium-sized cities with better distribution network construction in my country, it is only about 38%, which is still far behind the ...

AI Technical Summary

Problems solved by technology

[0003] Existing evaluation methods for efficiency include data envelopment analysis (DEA), etc. This type of method is characterized by a large number of input-output indicators involved, and the selection of evaluation indicators has a greater impact on the evaluation results

With the gradual deepening of the demand for the evaluation of distribution network operation efficiency, the current methods generally have the following problems: (1) The load value involved in the calculation of the evaluation index mostly adopts a certain time section value or the maximum value within a specified time interval ( average value), which cannot fully reflect the utilization of equipment during the entire operating cycle; (2) lack of efficiency evaluation at the system level

Therefore, on the basis of analyzing the factors affecting the operation efficiency of the distribution network, an evaluation model of equipment operation and system operation efficiency based on the continuous load curve is proposed, but the current evaluation criteria for the operation efficiency of the equipment and system levels need to be further studied

[0004] At present, there is a lack of quantitative evaluation and in-depth analysis based on big data for the operation efficiency of the distribution network, and the relevant evaluation standards are even more scarce. Therefore, it is difficult to determine the weak links of power distribution and propose corresponding improvement measures, which cannot adapt to the modern distribution network. Development requirements and the company's lean management needs

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