Distribution network collaborative optimization scheduling method considering distributed photovoltaic and electric vehicles

Abstract

The embodiment of the invention discloses a distribution network collaborative optimization scheduling method considering distributed photovoltaic and electric vehicles. The method comprises the stepsof obtaining photovoltaic and vehicle data of a distribution network; making load flow calculation on a power distribution network, and determining the optimal load flow of the power distribution network and the load of each node when V2G is included; establishing a probability output model of the distributed photovoltaic power supply, and analyzing distributed photovoltaic expected output in different time periods; establishing a power generation side scheduling model taking the minimum power generation cost as a target function, and performing power supply joint optimization; establishing aload side optimal scheduling model integrating the peak-valley difference and the network loss, and solving the load side optimal scheduling model by adopting an improved particle swarm algorithm; and updating the load parameters in real time by adopting a load side optimal scheduling model integrating the peak-valley difference and the network loss and taking the minimum peak-valley difference and the minimum network loss as an optimization target. The technical problems that disordered electric vehicle charging and discharging enable the load peak-valley difference of the power distributionnetwork to be increased, the network loss of the power distribution network is increased, and the economy is reduced are solved.

Description

technical field [0001] The present application relates to the technical field of distribution network load optimization dispatching, in particular to a distribution network collaborative optimal dispatching method considering distributed photovoltaics and electric vehicles. Background technique [0002] The intermittent and random loads caused by large-scale distributed grid connection and disorderly charging of electric vehicles have brought huge adverse effects on the operation of distribution network. Reasonable joint optimal dispatch of distributed energy and electric vehicles can effectively avoid the above problems and improve the utilization rate of new energy. Therefore, it is of great significance to study the optimal scheduling strategy of electric vehicle charging considering photovoltaic power generation. [0003] Research on the joint optimal dispatching strategy for the distribution network including distributed new energy and electric vehicles is the research...

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Problems solved by technology

[0004] The embodiment of this application provides a distribution network collaborative optimization scheduling method that takes into account distributed photovoltaics and electric vehicles, which solves the problem that the existing technology has relatively little consideration of the changes in the number of electric vehicles and the volatility of clean new energy, and the research results are difficult to apply In practice, and the disorderly charging and discharging of electric vehicles increases the peak-to-valley difference of the distribution network load, increases the network loss of the distribution network, and reduces the technical problems of economic efficiency.

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