Impedance-self-adaptive inverter reactive voltage control parameter optimization method

Abstract

The invention discloses an impedance-self-adaptive inverter reactive voltage control parameter optimization method which is characterized in that a power distribution network Jacobi matrix and a reactive voltage amplitude sensitivity matrix are obtained via load flow calculation firstly; then coupling decomposition is performed on the reactive voltage amplitude sensitivity matrix by utilizing an epsilon decoupling algorithm and a power distribution network comprising distributed photovoltaic is correspondingly divided into subareas which are not mutually overlapped; then short-circuit impedance of each inverter access point is measured in an online and real-time way via an impedance self-adaptive method, and dead zone width D controlled by inverter reactive voltage V(Q) is confirmed by the measured short-circuit impedance; and finally optimization and setting of the dead zone width D controlled by the inverter V(Q) of each subarea are performed with the minimal whole year voltage fluctuation of each subarea of the power distribution network, the minimal reactive power demand and the lowest network loss acting as the objectives. A problem of inverter parameter online self-adaptive setting is solved so that photovoltaic consumption capacity of the power distribution network is enhanced and distributed photovoltaic safe and friendly grid connection is also realized.

Description

technical field [0001] The present invention relates to the optimization field of reactive voltage control parameters of photovoltaic inverters, and more specifically relates to a partition voltage control of photovoltaic inverters in a distribution network containing distributed photovoltaics and an optimization of reactive voltage control parameters of the inverters. Multi-objective optimization methods. Background technique [0002] With the advancement of photovoltaic power generation technology and the support of national policies, distributed photovoltaic power generation has developed rapidly, and the installed capacity of distributed photovoltaics has increased day by day. Distributed photovoltaics in distribution networks are developing towards high penetration and high density. The connection of a large number of distributed photovoltaics to the distribution network has had an important impact on the safe and stable operation of voltage. There are three aspects of...

AI Technical Summary

Problems solved by technology

In practice, due to the different photovoltaic installation capacity, location and node load size, the voltage level of each distributed photovoltaic grid-connected point will be inconsistent, that is, the V(Q) characteristics of photovoltaic inverters at different installation locations are not completely consistent. Therefore, it is unreasonable to optimize the inverter control parameters uniformly in the whole network.

At present, there is no method for online real-time tuning of inverter parameters, especially when two or more inverters are connected in parallel to the same common connection point, at this time the inverter reactive voltage V(Q) control parameters The adjustment becomes difficult

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