Evaluation of maximum allowable capacity of distributed generations connected to a distribution grid by dual genetic algorithm |
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Authors: | Nien-Che Yang Tsai-Hsiang Chen |
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Affiliation: | aDepartment of Electrical Engineering, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li 32003, Taoyuan, Taiwan, ROC;bDepartment of Electrical Engineering, National Taiwan University of Science and Technology, 43, Keelung Road, Section 4, Taipei 10607, Taiwan, ROC |
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Abstract: | This paper proposes a dual genetic algorithm based approach to evaluate the maximum allowable capacity of distributed generations (DGs) connected to a distribution grid. The uncertainties in the existing deterministic approaches for evaluating the steady-state voltage deviation due to distributed generation are discussed as well. Nowadays, deterministic approaches are widely adopted by those who propose the interconnection of DGs. However, the existing deterministic approaches overlook some operation conditions that may give rise to an incorrect result and lead to a wrong decision in practical applications. In this paper, various factors affecting steady-state voltage deviation are discussed first. Then, a maximum allowable DG capacity evaluation approach based on the dual genetic algorithm is proposed. Finally, the uncertainties of the existing deterministic approaches are discussed. It is intended as reference for utility engineers processing DG interconnection applications. |
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Keywords: | Distributed generation Distribution grid Genetic algorithm Power flow analysis Power quality Voltage deviation |
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