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Stable reactive power balancing strategies of grid‐connected photovoltaic inverter network
Author(s) -
Wang Zhongkui,
Passino Kevin M.
Publication year - 2016
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.3408
Subject(s) - maximum power point tracking , ac power , photovoltaic system , inverter , grid connected photovoltaic power system , control theory (sociology) , grid , computer science , volt ampere reactive , maximum power transfer theorem , power (physics) , power control , electronic engineering , engineering , power flow study , mathematics , electrical engineering , voltage , control (management) , physics , geometry , artificial intelligence , quantum mechanics
Summary In this paper, a distributed reactive power control based on balancing strategies is proposed for a grid‐connected photovoltaic (PV) inverter network. Grid‐connected PV inverters can transfer active power at the maximum power point and generate a certain amount reactive power as well. Because of the limited apparent power transfer capability of a single PV inverter, multiple PV inverters usually work together. The communication modules of PV inverters formulate a PV inverter network that allows reactive power to be cooperatively supplied by all the PV inverters. Hence, reactive power distributions emerge in the grid‐connected PV inverter network. Uniform reactive power distributions and optimal reactive power distributions are considered here. Reactive power balancing strategies are presented for both desired distributions. Invariant sets are defined to denote the desired reactive power distributions. Then, stability analysis is conducted for the invariant sets by using Lyapunov stability theory. In order to validate the proposed reactive power balancing strategies, a case study is performed on a large‐scale grid‐connected PV system considering different conditions. Copyright © 2015 John Wiley & Sons, Ltd.

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