Optimal scheduling method for power distribution network

Abstract

The invention relates to an optimal scheduling method for a power distribution network. With an objective to minimize the daily total operation cost of an active power distribution network meeting constraints, the objective function of an active power distribution network robust optimization scheduling model is established; a two-stage robust optimal scheduling model is established and is converted into a mixed integer second-order cone model; by means of a column and constraint generation algorithm, the robust optimal model is divided into two layers so as to be solved; various battery charging and battery swapping plans of a battery swapping station under uncertain parameter sets corresponding to the output of wind turbines and photovoltaic units and the power of fast charging stations are substituted into the model objective function, so that first-stage solving can be performed, and an obtained solution is issued to the second stage so as to be optimized; and with corresponding power flow parameters adopted as control variables, a model objective function in the worst scene is solved according to the battery charging and battery swapping plan of the battery swapping station issued in the first stage and on the basis of the values of different uncertain parameter sets until solving results in the two stages meet requirements, so that an optimal result is obtained. The effectiveness and rationality of the method are verified. With the method adopted, the reasonable operation of a power grid can be ensured after a CSSIS (charging-swapping-storage integrated station is connected to an AND (active distribution network).

Description

technical field [0001] The invention relates to a power distribution technology, in particular to an optimal scheduling method for a distribution network based on the robustness of a distributed power supply and a charge-swapping-storage integrated station. Background technique [0002] With the rapid development of economy and society, the requirements for environmental protection are getting higher and higher. Various DGs include wind turbines (Windturbines, WT), photovoltaics (Photovoltaic, PV) and micro-turbine (Micro-Turbine, MT). Due to the characteristics of clean energy, they will be connected to the power system on a large scale in the future. At the same time, with the rapid increase in electric vehicle (Electric Vehicle, EV) ownership, the development of charging infrastructure is relatively lagging behind. In order to improve comprehensive utilization benefits, the battery charging station (BCS), battery swapping station (BSS) and energy storage station (ESS) ar...

AI Technical Summary

Problems solved by technology

[0005] The present invention is aimed at the problem of reasonable operation of the power grid generated after the electric vehicle charging, swapping and storing integrated station is connected to the power grid, and proposes an optimal dispatching method for the distribution network. Two different approaches are used to solve the problem, taking into account the rapid modeling ability and accuracy of electric vehicle load, which improves the analysis ability of uncertain elements in the power grid, and the results can reflect the actual engineering situation

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