A Test Model of a Power Grid With Battery Energy Storage and Wide-Area Monitoring

被引：7

作者：

Cai, Lianfang ^{[1
]}

Thornhill, Nina F. ^{[1
]}

Kuenzel, Stefanie ^{[2
]}

Pal, Bikash C. ^{[3
]}

机构：

[1] Imperial Coll London, Dept Chem Engn, Ctr Proc Syst Engn, London SW7 2AZ, England

[2] Royal Holloway Univ London, Dept Elect Engn, London TW20 0EX, England

[3] Imperial Coll London, Dept Elect & Elect Engn, London SW7 2AZ, England

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2019年 / 34卷 / 01期

基金：

英国工程与自然科学研究理事会;

关键词：

Power grid; wide-area monitoring; lithium-ion battery; energy storage; multivariate statistical analysis; model; FREQUENCY-RESPONSE; SYSTEM; INTEGRATION; STRATEGY; FLOW;

D O I：

10.1109/TPWRS.2018.2859784

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：

This paper presents a test model for investigating how to coordinate a power grid and energy storage systems (ESSs) by wide-area monitoring (WAM). It consists of three parts: first, a model of a power grid containing different types of generators, loads, and transmission network; second, a model of lithium-ion battery ESSs; and third, a model of multivariate statistical analysis based WAM built to capture the grid information for guiding the operation of ESSs. Simulation studies using a reduced equivalent model specifically built for a UK power grid enhanced with lithium-ion battery ESSs and WAM illustrate the way in which WAM can coordinate a power grid and ESSs, and also demonstrate the benefit of ESSs on a power grid.

引用

页码：380 / 390

页数：11

共 40 条

[1]

Almassalkhi Mads, 2016, 2016 Power Systems Computation Conference (PSCC), P1, DOI 10.1109/PSCC.2016.7540964

[2] The ARTEMIS European driving cycles for measuring car pollutant emissions [J].

André, M .

SCIENCE OF THE TOTAL ENVIRONMENT, 2004, 334 :73-84

[3] Inertia Estimation of the GB Power System Using Synchrophasor Measurements [J].

Ashton, Phillip M. ;

Saunders, Christopher S. ;

Taylor, Gareth A. ;

Carter, Alex M. ;

Bradley, Martin E. .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (02) :701-709

[4]

Bell KRW, 2010, IEEE POW ENER SOC GE

[5]

Birkl C.R., 2013, HYBRID ELECT VEH C 2, DOI [10.1049/cp.2013.1889, DOI 10.1049/CP.2013.1889]

[6] A semi-distributed energy-based framework for the analysis and visualization of power system disturbances [J].

Cabrera, I. R. ;

Barocio, E. ;

Betancourt, R. J. ;

Messina, A. R. .

ELECTRIC POWER SYSTEMS RESEARCH, 2017, 143 :339-346

[7] Monitoring Nonlinear and Non-Gaussian Processes Using Gaussian Mixture Model-Based Weighted Kernel Independent Component Analysis [J].

Cai, Lianfang ;

Tian, Xuemin ;

Chen, Sheng .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 28 (01) :122-135

[8] A process monitoring method based on noisy independent component analysis [J].

Cai, Lianfang ;

Tian, Xuemin ;

Chen, Sheng .

NEUROCOMPUTING, 2014, 127 :231-246

[9] Grid-scale energy storage applications in renewable energy integration: A survey [J].

Castillo, Anya ;

Gayme, Dennice F. .

ENERGY CONVERSION AND MANAGEMENT, 2014, 87 :885-894

[10] Hybrid operation strategy of wind energy storage system for power grid frequency regulation [J].

Choi, Jin Woo ;

Heo, Shin Young ;

Kim, Mun Kyeom .

IET GENERATION TRANSMISSION & DISTRIBUTION, 2016, 10 (03) :736-749

← 1 2 3 4 →