A method and system for parallel optimal configuration of distributed photovoltaic power supply of distribution network

Abstract

A method and system for parallel optimal configuration of distributed photovoltaic power supply of a distribution network are disclosed. The method comprise that following steps: acquiring real-time operation state parameter of distributed photovoltaic power source; Substituting the operating state parameters into a pre-established distributed photovoltaic power source optimal configuration model;Multi-scene analysis and multi-objective molecular differential evolution algorithm based on parallel computing are used to solve the optimal placement model. According to the solution results, the optimal configuration of distributed photovoltaic power is carried out. The system includes background server, photovoltaic grid-connected inverter, interruptible load controller, on-load tap changer regulator, data acquisition and monitoring device. The invention takes the active management measures as the decision variables, and introduces the active management measures into the optimal configuration of the distributed power generation to obtain the optimal installation position and capacity of the distributed power generation and the optimal implementation scheme of the active management measures, which can effectively increase the consumption of the distributed power generation and improve the voltage quality.

Description

technical field [0001] The invention relates to a distribution network distributed photovoltaic parallel optimization configuration method and system, belonging to the technical field of new energy grid connection. Background technique [0002] Under the current background of energy conservation and emission reduction, photovoltaic power generation has been rapidly developed as a distributed clean energy access to distribution network, and the traditional distribution network is gradually transforming into an active distribution network with active management functions. As more and more distributed photovoltaic power sources are connected to the distribution network, it is becoming more and more important to optimize their configuration to improve the distribution network's ability to accommodate distributed power sources. In addition, the access of a large number of distributed photovoltaics to the distribution network has also brought many problems to the operation of the ...

AI Technical Summary

Problems solved by technology

When studying the impact of active management measures on the optimal configuration of distributed photovoltaics, the above literatures all optimize the configuration plan through active management measures after obtaining the configuration plan, and do not give the best implementation plan for active management

In addition, most of the multi-scene analysis processes in the above literature use the K-means clustering algorithm to achieve scene reduction. However, K-means clustering is random and sensitive to the selection of the initial centroid, which can easily lead to large errors in scene reduction.

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