Distributed power source optimal allocation method suitable for power distribution network

Abstract

The invention relates to a distributed power source optimal allocation method suitable for a power distribution network. The method includes the following steps that: original data information is obtained, and the position of a balance node, the total capacity of distributed power source connection and the capacity step of the distributed power source connection are determined; when nodes are not connected into distributed power sources, the first-order grid loss sensitivity coefficients of the nodes are obtained; the node are separately connected into a capacity-set distributed power source, and the first-order grid loss sensitivity coefficients of the nodes are obtained; a sensitivity correction matrix is obtained; nodes with the minimum first-order grid loss sensitivity coefficients are connected with a capacity-step distributed power source; after the nodes are connected into the capacity-step distributed power source, the first-order grid loss sensitivity coefficients of the nodes are corrected through the sensitivity correction matrix, and single-step allocation schemes are recorded; and the previous step is repeated until the connection of the nodes to the distributed power sources achieves the total capacity of the distributed power source connection, and optimal allocation can be completed. With the distributed power source optimal allocation method adopted, a large quantity of power flow calculation can be eliminated, and the effectiveness and efficiency of optimization can be realized.

Description

technical field [0001] The invention relates to the field of optimal configuration of distributed power sources in power systems, in particular to a method for optimal configuration of distributed power sources suitable for distribution networks. Background technique [0002] The rapid development and application of distributed generation technology has attracted widespread attention from all over the world. The low investment cost of distributed power generation, environmental protection, flexible location, and energy diversity make it a good complement to large-scale power grids and become a strong support for large-scale power grids. Therefore, the power supply mode combining distributed power and large-scale power grid will be an inevitable trend of the future power grid. The access of distributed generation will have an important impact on the voltage level, system stability, power quality, network loss and other aspects of the distribution network. The degree of infl...

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Problems solved by technology

Analytical optimization methods are often derived based on simplified models, which may not be applicable to complex networks and load changes, or require a large number of iterative calculations to solve nonlinear programming models

However, the stochastic optimization method that introduces artificial intelligence algorithms has a slow convergence speed and low efficiency, especially when the network scale is large, its calculation time is long, and its optimality depends on the selection of initial values ​​and control parameters, which is prone to premature phenomena , falling into a local optimal solution

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