Scene analysis method and voltage regulation policy-based distributed photovoltaic planning method

Abstract

The invention relates to a scene analysis method and voltage regulation policy-based distributed photovoltaic optimization planning method. The method comprises the steps of 1, performing scene analysis by utilizing a scene analysis method, representing real running states of a distributed power supply and a load with high-dimensional vectors, and performing scene compression through a clustering method; and 2, establishing a dual-layer optimization planning method for the distributed power supply of a power distribution network: (1) in upper-layer planning, constructing multiple targets by minimization of network loss of the power distribution network, maximization of earnings of a distributed power operator and the like, and planning access capacity of the distributed power supply; and (2) adopting different scheduling policies in a lower-layer scheduling model, comparing non adoption of a voltage regulation policy, adoption of the voltage regulation policy and a voltage regulation policy with reactive compensation, and planning the distributed power supply.

Description

technical field [0001] The invention relates to a distributed photovoltaic optimal planning method based on an improved scene analysis method and considering a voltage regulation strategy. Background technique [0002] The improvement of economic and technological level and the increasingly severe environmental problems have promoted the development and utilization of distributed renewable energy, especially distributed power. In addition, with the support of national policies, the penetration rate of distributed power in distribution networks has grown rapidly, and distributed photovoltaics have been vigorously developed under the policy of "photovoltaic precision poverty alleviation". In order to cope with the large-scale access of distributed power in the traditional distribution network, new theories and technologies such as active distribution network and smart grid have been proposed one after another. Distributed power will play a more important role in the future dis...

AI Technical Summary

Problems solved by technology

[0006] (1) With the increase in the number and types of distributed power sources, the use of the existing multi-scenario analysis method will cause a rapid increase in the number of scenarios, and the existing scenario compression method cannot accurately reflect the actual operating status of the power grid

Traditional scene analysis regards each object containing uncertain factors as an independent individual. As the number of considered objects increases, the number of scenes will increase exponentially, and the correlation between objects is ignored so that scene analysis and real operation There is a large deviation

[0007] (2) The existing distributed power generation planning models are based on the consideration of operators or a single stakeholder in the distribution network, without considering the multi-objective optimization of different stakeholder

[0008] (3) In terms of voltage regulation methods, existing voltage regulation methods do not take into account that distributed power sources in different locations contribute differently to node voltage. Regulation has different contributions

In terms of voltage regulation strategy, the original method is relatively simple, just adjust through reactive power optimization or active power reduction, and does not combine reactive power regulation and active power regulation to achieve common voltage regulation

[0009] (4) Prior art methods do not make full use of the effect of photovoltaic converters

When the voltage exceeds the limit during the day, the power can be reduced to reduce the voltage. At night, when the load is heavy and the node voltage is low, reactive power can be generated to increase the voltage. The existing technology has not considered this problem.

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