Assessment of Maximum Permissible Capacity of Distributed Generations Connected to a Distribution Grid with Feeder Voltage Control Equipment

Abstract

The main purpose of this paper is to assess the maximum permissible capacity of distributed generations (DGs) connected to distribution systems with feeder voltage control equipment by dual genetic algorithm (DGA) in Taiwan. The DGA is adopted to deal with the uncertainty problems of distribution system operating states. The DGA can be subdivided into two GAs. In the first GA, the chromosome is used to consider the configurations of the interesting system network, those are the impedance-sensitive factors. In the second GA, the chromosome is used to consider the operating status of system loads and voltage control equipment, those are the current-sensitive factors. The existing approaches overlook the system operation conditions that may give rise to an incorrect result and lead to a wrong decision in practical applications. Therefore, a maximum permissible DG capacity evaluation approach based on the DGA is proposed. The outcomes are of value for a fast screening process for grid interconnection applications in DGs and for DG promotion in Taiwan.



Author Information
Nien-Che Yang, National Taiwan University of Science and Technology, Taiwan
Kuan-Yu Liu, Industrial Technology Research Institute, Taiwan
Wei-Chih Tseng, Yuan Ze University, Taiwan
Hsing-Chih Chen, Industrial Technology Research Institute, Taiwan
Ting-Yen Hsieh, Industrial Technology Research Institute, Taiwan

Paper Information
Conference: ACSEE2019
Stream: Energy: Renewable Energy and Environmental Solutions

This paper is part of the ACSEE2019 Conference Proceedings (View)
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