EVALUATION AND ANALYSIS OF DISTRIBUTED PHOTOVOLTAIC CARRYING CAPACITY IN LARGE URBAN POWER GRID

被引：0
|
作者：
Wang H. [1 ]
Yu X. [1 ]
Zhang Y. [1 ]
Yang L. [1 ]
Wang W. [1 ]
机构：
[1] Beijing Electric Power Research Institute, Beijing Electric Power Company, Beijing
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2023年 / 44卷 / 06期
关键词：
bearing capacity assessment; distributed photovoltaic; harmonic analysis; short circuit check; static safety analysis;
D O I：
10.19912/j.0254-0096.tynxb.2022-0135
中图分类号：
学科分类号：
摘要：
In order to accurately evaluate the carrying capacity of power grid to distributed photovoltaic power station，based on the analysis of six influencing factors，including the power grid operation characteristics，power supply installation composition，short-circuit current，power quality，voltage deviation and loss relay protection. the calculation and evaluation method of distributed photovoltaic carrying capacity was put forward considering the characteristics of large-scale urban power grid. And then an example of the large-scale urban power grid. And then taking the large-scale urban power gird as an example，the feasibility and practicability are verified. The example results show that this method can accurately evaluate the new distributed photovoltaic carrying capacity of 10 kV to 220 kV bus of power grid，and also provide the guidance for the planning，construction and operation analysis of distributed photovoltaic access to large urban power grid. © 2023 Science Press. All rights reserved.
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页码：260 / 264
页数：4
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共 14 条
  • [1] White paper on China’s energy development in the new era
  • [2] State Grid corporation of China releases the‘carbon peak，carbon neutrality’action plan
  • [3] PEI Z Y, DING J, LI C, Et al., Analysis and suggestion for distributed photovoltaic generation[J], Electric power, 51, 10, pp. 80-87, (2018)
  • [4] CHI Y N, TANG H Y，, SHI W H，, Et al., New energy generation modeling and grid access analysis[M], pp. 6-8, (2019)
  • [5] WANG W S，, HE G Q，, LI G H, Et al., Distributed new energy generation planning and operation technology[M], pp. 3-7, (2019)
  • [6] ZHANG Z Y, WANG W Z，, ZHANG X Q，, Et al., Renewable energy capacity planning based on carrying capacity indicators of power system[J], Power system technology, 45, 2, pp. 632-639, (2021)
  • [7] FU W J，, YANG P，, XIE H P，, Et al., Collaborative planning of distributed generation and energy storage system under power marked environment[J], Power system and clean energy, 37, 6, pp. 101-112, (2021)
  • [8] XIONG C P, ZHANG X H, MENG Y J，, Et al., Analysis on static voltage stability of system with large-scale wind power integration[J], Power system protection and control, 40, 21, pp. 132-137, (2021)
  • [9] LIU K Y, SHENG W X，, MA X C, Et al., Planning research of distributed photovoltaic source access distribution network based on multi-population genetic algorithm[J], Acta energiae solaris sinica, 42, 6, pp. 146-155, (2021)
  • [10] LI H Z, WANG Y, HU Z S，, Et al., Carrying capacity assessment of distribution network for multiple access bodies under the background of double carbon[J], Power system technology, 46, 9, pp. 3595-3603, (2022)
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