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Influence of distributed photovoltaic power generation on distribution network and the design of optimal access scheme
Author(s) -
Zhang Hao,
Tong Xiangqian,
Yin Jun
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8820
Subject(s) - correctness , distributed generation , photovoltaic system , computer science , node (physics) , reliability (semiconductor) , distributed power , power (physics) , distribution (mathematics) , distributed computing , voltage , reliability engineering , engineering , electrical engineering , renewable energy , mathematics , algorithm , mathematical analysis , physics , structural engineering , quantum mechanics
Distributed photovoltaic (PV) access to distribution network will affect the line loss and voltage of the system, and affect the reliability and economic operation of the distribution system. Therefore, in this study, firstly, node analysis models of distribution network system with four different typical load distribution is established. Secondly, the changes of voltage and network loss caused by distributed PV access to distribution network systems with four typical load distribution are analysed, and the formula of optimal access position and optimal access capacity of distributed PV system under different load distribution system is derived. Thirdly, on the basis of the work data of a distribution line with 43 distributed PV access in Tongchuan city, Shaanxi Province, China, the influence of distributed PV power generation on line loss and voltage of distribution network under different weather conditions are analysed. Finally, an optimal PV access scheme for distribution network based on ant colony algorithm is proposed to ensure the reliable and economical operation of distribution network after distributed PV access. The simulation model of distribution system with distributed PV access is established under Matlab, and the simulation results show the correctness and effectiveness of the proposed formula and the optimisation scheme.

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