Method, system and device for online evaluation of distributed photovoltaic power supply acceptance capability of power distribution network, and storage medium

Abstract

The invention discloses an online evaluation method, system and device for the distributed photovoltaic power supply acceptance capability of a power distribution network, and a storage medium. The method comprises the following steps: 1) constructing the power distribution network; 2) establishing a distributed photovoltaic power supply acceptance capability online evaluation model and constraintconditions thereof; 3) collecting real-time operation data of each node of the power distribution network and historical measurement data with a time scale; 4) updating the day-ahead power predictionmodel and the day-ahead load prediction model of the distributed photovoltaic power supply; 5) updating the ultra-short-term power prediction model of the distributed photovoltaic power supply and the ultra-short-term load prediction model of the distributed photovoltaic power supply in the future 4 hours; 6) when the time reaches a preset evaluation moment, carrying out online evaluation on theday-ahead acceptance capability of the distributed photovoltaic power supply; 7) evaluating the real-time acceptance capability of the distributed photovoltaic power supply at fixed evaluation time intervals. The method, the system, the equipment and the storage medium can effectively evaluate the acceptance capability of the distributed photovoltaic power supply of the power distribution network.

Description

technical field [0001] The invention belongs to the technical field of power grids, and relates to a method, system, equipment and storage medium for online assessment of distributed photovoltaic power supply capacity of distribution networks. Background technique [0002] Due to its green, clean, renewable, decentralized and flexible characteristics, distributed photovoltaic power has developed rapidly in recent years with the strong support of national policies and funds. After the large-scale distributed photovoltaic power source is connected to the distribution network, the distribution network changes from the original simple single-end power supply radial network to a multi-terminal power network, which makes the power flow distribution of the distribution network extremely complicated, which will inevitably affect the distribution network. Power flow distribution and line losses have a great impact, and in some cases even increase distribution network line losses. In...

AI Technical Summary

Problems solved by technology

After the large-scale distributed photovoltaic power source is connected to the distribution network, the distribution network changes from the original simple single-end power supply radial network to a multi-terminal power network, which makes the power flow distribution of the distribution network extremely complicated, which will inevitably affect the distribution network. Power flow distribution and line losses have a great impact, and in some cases even increase distribution network line losses

In addition, the random and fluctuating output characteristics of distributed photovoltaic power sources and the technical characteristics of grid connection through photovoltaic inverters put forward higher requirements on the acceptance capacity of the distribution network on the one hand, and on the other hand, it also affects the power quality of the distribution network. had a greater impact

At present, after the distributed photovoltaic power source is connected to the distribution network, there is a lack of effective real-time monitoring means, and it is difficult to evaluate the real-time acceptance capacity and line loss of the distribution network.

[0003] At present, the evaluation of the acceptance capacity of distributed photovoltaic power sources to the distribution network is mainly based on offline theoretical research and simulation analysis, focusing on how to consider various factors in the distribution network planning stage to determine the distribution network access to distributed photovoltaic power sources. The maximum access capacity and optimized point configuration, capacity assessment lacks real-time monitoring and online analysis methods, and the maximum capacity or capacity can only be calculated for specific or extreme operating modes, which may cause distortion or conservative calculation results, which cannot be used for Improve the acceptance capacity of distribution network for distributed photovoltaic power and improve the efficiency of power grid services

[0004] In terms of distributed photovoltaic power generation power prediction and load prediction, especially the randomness and volatility of distributed photovoltaic power generation power, traditional time series prediction and regression prediction algorithms such as ARMA, SVM / SVR, shallow artificial The performance of the neural network is not good, so it cannot effectively evaluate the distributed photovoltaic power acceptance capacity of the distribution network

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