Security risk assessment using fast probabilistic power flow considering static power-frequency characteristics of power systems

被引：15

作者：

Duan, Yao ^{[1
]}

Zhang, Buhan ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, State Key Lab Adv Elect Engn & Technol, Wuhan 430074, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2014年 / 60卷

基金：

国家高技术研究发展计划(863计划);

关键词：

Security risk assessment; Fast probabilistic power flow; Frequency; Wind power; Multi-scenario; LOAD FLOW; COMBINED CUMULANTS; COMPUTATION; MODEL;

D O I：

10.1016/j.ijepes.2014.02.030

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：

Large scale blackouts in the world have aroused the study of security risk assessment (SRA) urgently. SRA difficulties brought about by uncertainties can be solved by probabilistic power flow (PPF). Conventional methods usually focus on the probabilistic density function (PDF) and the cumulative distribution function (CDF) of node voltages and branch flows only. A SRA scheme of power system using fast PPF is proposed in this paper. The scheme took static power-frequency characteristics (SPFCs) into account, and fast decoupled power flow (FDPF) was used to solve PPF. Besides node voltage and branch flows, the scheme can obtain the PDF and CDF of frequency. The computing speed of the proposed scheme considering wind power multi-scenarios is enhanced compared to conventional method. SRA indices are introduced to evaluate the power system quantitatively. The examples on the IEEE RTS-24 system demonstrate the feasibility, rapidity and validity of the proposed scheme. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：53 / 58

页数：6

共 19 条

[1]

[Anonymous], 1979, IEEE T POWER AP SYST, V98, P2047, DOI 10.1109/TPAS.1979.319398

[2]

[Anonymous], 2012, REP ENQ COMM GRID DI

[3]

Billinton R., 1994, RELIABILITY EVALUATI, DOI DOI 10.1007/978-1-4615-7731-7

[4] Statistical analysis of wind power forecast error [J].

Bludszuweit, Hans ;

Antonio Dominguez-Navarro, Jose ;

Llombart, Andres .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2008, 23 (03) :983-991

[5]

Cepin M, 2011, ASSESSMENT OF POWER SYSTEM RELIABILITY: METHODS AND APPLICATIONS, P1

[6] Probabilistic load flow using Monte Carlo techniques for distribution networks with photovoltaic generators [J].

Conti, S. ;

Raiti, S. .

SOLAR ENERGY, 2007, 81 (12) :1473-1481

[7]

Dong LuYan Dong LuYan, 2011, Proceedings of the International Conference on pipelines and trenchless technology, Beijing, China, 26-29 October 2011, P1

[8] An improved fast decoupled power flow model considering static power-frequency characteristic of power systems with large-scale wind power [J].

Duan, Yao ;

Zhang, Buhan .

IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2014, 9 (02) :151-157

[9]

Hocaoglu F.O., 2008, P 10 INT C PROBABLIS, P1

[10] A probabilistic load flow method considering branch outages [J].

Hu, ZC ;

Wang, XF .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2006, 21 (02) :507-514

← 1 2 →