Power distribution network confidence peak clipping benefit assessment method capable of considering distributed photovoltaic randomness

Abstract

The invention provides a power distribution network confidence peak clipping benefit assessment method capable of considering distributed photovoltaic randomness. The method comprises the following steps that: (1) obtaining the net rack parameter, the load model and the photovoltaic output model of a power distribution network; (2) obtaining the node number and the node capacity for distributed photovoltaic access; (3) adopting a Monte Carlo method to sample and simulate the daily load curve and the photovoltaic output curve of each node; (4) calculating the confidence daily peak clipping degree of each node; (5) establishing a probability assessment model which simultaneously considers the peak clipping benefits of three categories of equipment including a transformer substation, a line and a distribution transform station; and (6) assessing the confidence daily peak clipping benefit expectation of the power distribution network. The invention puts forward the power distribution network confidence peak clipping benefit assessment method capable of considering the distributed photovoltaic randomness, and can be used for carrying out probabilistic peak clipping benefit assessment onthe power distribution network containing distributed photovoltaic. The assessment model also can be used for effectively distinguishing influence differences for the power distribution network peakclipping benefits when distributed photovoltaic is accessed by different positions and different voltage levels.

Description

technical field [0001] The invention relates to the field of evaluation methods for peak-shaving benefits of distribution networks, in particular to a probability evaluation method that takes into account the randomness of distributed photovoltaics. Background technique [0002] In the relevant research on the optimal planning and optimal operation of distribution network, the distribution network peak-shaving benefit index is often used as an important part of the total revenue objective function of the grid side. The penetration rate of distributed photovoltaics as a clean power source connected to the distribution network is increasing day by day, but due to its output being affected by uncertain factors such as light, it will have strong randomness. Therefore, it is not appropriate to evaluate the deterministic peak-shaving benefits of distribution networks with distributed photovoltaics. [0003] At present, the peak-shaving benefit evaluation model of the distribution...

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Problems solved by technology

The penetration rate of distributed photovoltaics as a clean power source connected to the distribution network is increasing day by day, but because its output is affected by uncertain factors such as light, it will have strong randomness

Therefore, it is not appropriate to conduct a deterministic evaluation of peak-shaving benefits for distribution networks containing distributed photovoltaics.

[0003] At present, the peak-shaving benefit evaluation model of the distribution network basically does not consider the impact of distributed photovoltaic randomness on the evaluation results. At the same time, the evaluation calculation model is relatively rough, or ignores the peak-shaving benefits of lines and distribution transformers and only considers the peak-shaving benefits of substations , or use the average peak-shaving benefits of distribution transformers, lines and substations to calculate, and the value of the average peak-shaving benefits for different distribution networks is also difficult to determine

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