Power distribution network hybrid optimization scheduling method considering optical storage and fast charging integrated station

Abstract

The invention discloses a power distribution network hybrid optimization scheduling method considering an optical storage and fast charging integrated station, and the method comprises the steps: building a road traffic network model, a driving speed and path model of an electric vehicle, and a travel time model of the electric vehicle, and building a charging load model of the fast charging integrated station based on the three models; on the basis of the charging load model, adopting an uncertainty set to represent the photovoltaic output and the range of the original load in the power distribution network,taking the minimum overall operation cost of the power distribution network to which the fast charging integrated station belongs as an objective function, and setting constraint conditions to establish a power distribution network robust optimization scheduling model of the fast charging integrated station; decomposing the model into a main problem model and a sub-problem model; obtaining the worst scene of power flow operation of the power distribution network by optimizing photovoltaic output and the total number of time periods of an original load selection interval boundary value in a scheduling period; and solving the optimal solutions of the main problem model and the sub-problem model by adopting a column constraint generation algorithm. Decision of the energy storage system of the fast charging station in an uncertain environment can be adjustably and flexibly achieved.

Description

technical field [0001] The present invention relates to a distribution network scheduling method for an integrated optical storage and fast charging station, in particular to a hybrid optimal scheduling method for a distribution network that takes into account the integrated optical storage and fast charging station. Background technique [0002] At present, electric vehicles (Electric Vehicles, EV), as a new generation of green transportation, have great advantages and potentials in reducing vehicle exhaust emissions and alleviating the energy crisis. The penetration rate of the charging load in the distribution network has been greatly increased, and the uncertainty of the charging load, especially the intermittent and random nature of the fast charging load, makes the reliable and economical operation of the distribution system face a certain degree of risk. In order to minimize the impact of fast charging load on the distribution system, how to carry out detailed modelin...

AI Technical Summary

Problems solved by technology

Some introduce photovoltaic and energy storage systems into charging stations, and build multi-objective optimal dispatch models to reduce power purchase costs and battery cycle power, but the research object is only for charging stations containing photovoltaics and energy storage, and does not consider the charging stations containing photovoltaics and energy storage. The impact of dispatching of photovoltaic storage charging station on distribution network

Some have established a multi-objective optimal dispatching model that minimizes load fluctuations, maximizes the utilization rate of renewable energy, and maximizes vehicle owner revenue under the constraints of access to the grid, and uses an improved variable threshold optimization algorithm to coordinate the relationship between electric vehicles and microgrids. The energy exchange between them, but the impact of the randomness of the electric vehicle charging load fluctuation on the distribution network is not considered

Some use the "equilibrium model" of the road network to plan the travel path of electric vehicle users, and build a robust dispatching model of the distribution network coupled with the traffic system, but do not consider the impact of the timing change of charging load on the dispatching of the distribution network.

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