Energy-saving potential evaluation method considering output uncertainty of distributed power supply

Abstract

The invention provides an energy-saving potential evaluation method considering output uncertainty of a distributed power supply. The method comprises the following steps: constructing a multi-node power distribution network model containing a distributed power supply, wherein at most one power supply is connected into each node; constructing annual natural factor sample data, performing sample clustering through K-means, and calculating the output of the distributed power supply by using each clustering center after clustering; selecting a voltage weak node and a line loss weak node in the power distribution network according to the output of the distributed power supply calculated by the clustering center; adjusting the distributed power supply to be a non-weak node through an improvement method, respectively carrying out normalization processing on the network loss rate, the voltage quality improvement rate, the three-phase unbalance degree and the energy-saving reconstruction costbenefit of the distributed power supply calculated by the clustering center in sequence, and further calculating a comprehensive energy-saving potential value; and calculating the comprehensive energy-saving potential average value of the distributed power supply output calculated by each clustering center. According to the method, the limitation of power distribution network energy-saving potential evaluation caused by DG uncertainty is broken through, and the energy-saving potential scheme evaluation is more comprehensive.

Description

Technical field: [0001] The invention belongs to the technical field of distributed energy sources, and in particular relates to an energy-saving potential evaluation method considering the output uncertainty of distributed energy sources. Background technique: [0002] At present, most distribution networks still have many unfavorable factors that lead to high line losses, such as equipment aging, load mismatch in the station area, long lines, circuitous power supply, small line paths, and insufficient reactive power compensation, which make the distribution network energy-saving. There is great mining potential in terms of consumption reduction, but the energy-saving potential evaluation of distribution network energy-saving transformation schemes is mostly based on a single indicator, without considering the cost-effectiveness of energy-saving transformation, and introducing energy-saving transformation of distribution network into benefit-sharing contracts The energy man...

AI Technical Summary

Problems solved by technology

[0002] At present, most distribution networks still have many unfavorable factors that lead to high line loss, such as equipment aging, load mismatch in the station area, long lines, circuitous power supply, small line paths, and insufficient reactive power compensation, which make the distribution network energy-saving. There is great mining potential in terms of consumption reduction, but the energy-saving potential evaluation of distribution network energy-saving transformation schemes is mostly based on a single indicator, without considering the cost-effectiveness of energy-saving transformation, and introducing energy-saving transformation of distribution network into benefit-sharing contracts The energy management mechanism is an important measure for energy conservation and emission reduction in the distribution network, and plays an important role in the power industry to achieve energy conservation and emission reduction goals

In the future, a high proportion of DGs will be connected to the distribution network. After connecting to the distribution network, the network structure will become more complicated, and the fluctuation and uncertainty of the output will affect the energy-saving potential of the energy-saving transformation scheme of the distribution network. The evaluation brings more troubles, which further limits the mining potential of energy saving and consumption reduction of distribution network

Images