Open AccessStudy on Photovoltaic Absorption Capacity Evaluation of Distribution Network Based on Improved FPA Computer Algorithm
Author(s) -
Angbei Xin,
Xiao Chi,
Fu-Yuan Hong
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2023/1/012050
Subject(s) - photovoltaic system , electricity generation , computer science , power (physics) , rooftop photovoltaic power station , maximum power point tracking , electronic engineering , engineering , electrical engineering , voltage , physics , quantum mechanics , inverter
FPA algorithm is a new metaheuristic swarm intelligent optimization algorithm for solving optimization problems.In order to promote the further development of China's solar power industry, the National Energy Administration has issued a document to promote distributed photovoltaic power generation system, encouraging photovoltaic power generation to be combined with the needs of users, in cities, villages and buildings and public facilities to promote the system.When calculating the maximum surplus ratio of photovoltaic power generation, it is necessary to select a certain power supply area, clarify its power supply mode, power transmission capacity and path, and calculate the value by fitting the photovoltaic power generation and load characteristic curve.In this paper, based on the characteristics of photovoltaic power generation and the typical load, by studying the create a new index of photovoltaic power generation given abilities distribution network, in the process of dynamic change periodically given capacity of photovoltaic research evaluation, set up photovoltaic maximum surplus "than" index, according to the calculation analysis of factors affecting given distributed photovoltaic power generation capacity and its influence on construction of distribution network transformation, and puts forward Suggestions on construction of photovoltaic power generation demonstration area.