Reactive Power Control and Optimization of Large Scale Grid Connected Photovoltaic Systems in the Smart Grid
Year: 2014
Type: article
Abstract: In future smart grid, DC-AC inverter based renewable energy sources will greatly participate in not only the real power generation but also reactive power compensation.Among all the renewable energy sources, grid-connected photovoltaic (PV) systems have received much attention by engineers and researchers.Grid-connected PV systems with DC-AC inverters are able to supply real power to the utility grid as well as reactive power.The real power extracted by the DC-AC inverters is usually at the maximum power point (MPP) of the attached PV arrays and the reactive power is used to compensate the grid demand.However, the considerable number of DC-AC inverters and the complicated operating environment result in challenges in the control and optimization of both real and reactive power.For large scale grid-connected PV systems with multiple DC-AC inverters, due to the limited apparent power transfer capability of each inverter, the reactive power needs to be allocated among the DC-AC inverters in a proper way.In this thesis, an optimal strategy is proposed for the reactive power allocation in large scale grid-connected PV systems.The proposed method achieves the maximum reactive power transfer capability of the entire system by applying classic Lagrange multiplier method.The sufficient conditions of the optimal reactive power allocation strategy are provided and mathematically proved.Then, the optimal solutions of the reactive power allocation in the large scale PV systems are developed into a distributed Any success that I have today could not have been possible without them.My adviser, Professor Kevin M. Passino, deserves many thanks not only for his wisdom, knowledge, and guidance but also for his unending patience and warmhearted helps.Through him, I have not only learned control engineering, power systems, biomimicry, and research methods, but I have become a self-motivated Ph.D. student, a better writer, and overall thinker.He has become my first mentor
Author: Zhongkui Wang
Institution: The Ohio State University
Language: English
Field: Energy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2336840762