Distribution network mobile energy storage configuration method based on fourier-legendre series

Abstract

The invention discloses a distribution network mobile energy storage configuration method based on the Fourier-Legendre series, comprising the following steps: calculating the feasible region of the active output and reactive output of the photovoltaic inverter; Standby model; establish the energy state polynomial of mobile energy storage based on the Fourier‑Legendre series; establish a mobile energy storage transportation model considering truck transportation time and congestion delay; calculate peak and valley periods and establish a corresponding load response model considering price demand; establish Distribution network optimization model for the coordination of photovoltaic inverters and mobile energy storage; solve the distribution network optimization model to obtain the configuration scheme of the location and capacity of dynamic energy storage and the scheduling scheme of photovoltaic inverters. The invention constructs a continuous charging and discharging model of mobile energy storage, which can accurately and effectively simulate the energy state of energy storage at different time scales, and can determine the optimal configuration capacity of mobile energy storage and the optimal network connection position at different times, and solves the problem of high proportion The safety and economic operation of photovoltaic distribution network.

Description

technical field [0001] The invention relates to a distribution network mobile energy storage configuration method based on Fourier-Legendre series, and belongs to the technical field of distribution network energy storage. Background technique [0002] With the accelerated development of the global economy, energy shortage and environmental pollution have become serious problems, which also promotes the research and development of renewable energy power generation. Photovoltaic power generation occupies a very important position in many renewable energy resources. At present, the number of photovoltaic grid-connected households in my country's low-voltage distribution network is increasing rapidly, and the grid-connected capacity is also continuously increasing. Due to the randomness, intermittency and volatility of household photovoltaics, a high proportion of photovoltaics connected to the grid will cause the network to face many risks, such as network voltage over-limit a...

AI Technical Summary

Problems solved by technology

However, the reactive power compensation of the photovoltaic inverter is limited by its power factor (such as -0.9~+0.9), which is easy to weaken its voltage adjustment ability and cause undercompensation

[0004] However, the investment cost of the network reconfiguration method is relatively high, and it is difficult to solve the node overvoltage problem at the end of the feeder with this method

Adjusting the taps of the on-load transformer requires continuous and frequent adjustment of the transformer taps, which will easily reduce the service life of the transformer and increase the tension of the transformer

Abandoning light not only causes waste of resources, but also affects the long-term development of the optoelectronic industry.

Photovoltaic inverters need to operate under a certain power factor, which can easily weaken their voltage adjustment capabilities

It can be seen that the current energy storage capacity allocation method is based on discontinuous and discrete charging and discharging of energy storage, which cannot effectively determine the optimal allocation capacity of mobile energy storage. distribution network operating costs,

In addition, the current fixed-location energy storage system lacks flexibility, which reduces the efficiency of energy storage operation

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