State Analysis of Distributed Power System Considering the Randomness of PV Generation

被引：0

作者：

Diao Shoubin ^{[1
]}

Li Xinpeng ^{[1
]}

Caoxin ^{[1
]}

Li Jian ^{[1
]}

Du Peixin ^{[1
]}

Wang Qingyan ^{[2
]}

机构：

[1] Shanghe Cty Power Supply Co, State Grid Shandong Elect Power Co, Jinan, Peoples R China

[2] Shandong Univ, Sch Elect Engn, Jinan, Peoples R China

来源：

6TH IEEE INTERNATIONAL CONFERENCE ON PREDICTIVE CONTROL OF ELECTRICAL DRIVES AND POWER ELECTRONICS (PRECEDE 2021) | 2021年

关键词：

PV; uncertain state analysis; distributed power system; power loss; voltage; PREDICTIVE CONTROL;

D O I：

10.1109/PRECEDE51386.2021.9681036

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

As the awareness of environmental protection increases, renewable energy generation, represented by photovoltaic power generation, is rapidly connected to the distribution network, changing the operating state and increasing uncertainty of state. Effective analysis of the system uncertainty is an important tool for system planning and optimization, based on which this paper investigates the state of the distribution system considering PV access. This paper first analyzes the impact mechanism of PV access on voltage, network loss and then studies the system state based on the uncertainty power flow analysis method considering the randomness of PV output, and finally analyzes the uncertain impact of PV access on the system state based on the improved IEEE 33 bus system.

引用

页码：857 / 862

页数：6

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