S. X. WEI, Q. J. LIU

1322

4.2.3. Float Charge Mo d e

The float charge mode is the main way of long-running

The voltage of float charging is 235n. The system

changes it into main charge mode when the capacity is

shortage cause by outrage.

The battery can discharge with constant current. It can

keep the output power constant for a considerable time.

5. Summary and P

merous model of different

more and more attention.

se asynchronous gen-

d as accessing to

.

rospect

This article summarizes nu

electric-generation principle of distributed energy supply

access grid. They include distributed power supply and

distributed storage system. For the study of distributed

energy supply system attract

Distributed energy access to distribution network is the

future trend of the development of the power system.

Wind power generator mainly u

erator model, generally considere

dis-

tribution network directly. According to the needs of the

calculation accuracy, they can be handled as PQ or PQU

nodes. For photovoltaic power generation, the main con-

sideration is modeling of the relationship between the

output active power and sunshine intensity. In the case of

special requirements, it can adjust the reactive power by

using power electronic device. The modeling of the fuel

cell is that connect the battery to grid through the

switching of electric power electronic device, which con-

trol the output active and reactive power. The modeling

of microturbine is similar to the general synchronization

generator, but need to consider the effects produced by

power electronic control unit. Storage battery also need

power electronic device to access to distribution network,

and to take reasonable charge and discharge model ac-

cording to the different stages of charge and discharge.

According to the need of analysis and control of distrib-

uted energy supply system accessing to grid, we need to

build a unified mathematical model which consider dif-

ferent power generation principle. This model will pro-

vide a basis for power flow analysis, short-circuit current

calculation as well as a variety of advanced analysis

software for transmission and distribution network.

REFERENCES

[1] Mukesh Nagpal, Frank Plumtre, Richard Fulton, T. G.

Martinich, “Dispersed Generation Interconnection-Utility

Perspective,” IEEE Transactions on Industry

Applications, Vol.42, No.3, 2006,

doi:10.1109/TIA.2006.872954

[2] T. E. Kim, J. E. Kim, “A Method for Determining the

Introduction limit of distribution generation system in

distribution system,” 2001 IEEE, 2001.

[3] A. Losi, M. Ru

Load Flow inin Proc IEEE P

Summer Meeting, Vol. 4, Seattle, WA, July2000, pp

, Vol.17, No.3, 2002,

D.2002.1022810

sso, “An Object Oriented Approach to

Distribution Systems,”

ES

.

23322-2337.

[4] Y. Zhu, K. Tomsovic, “Adaptive Power Flow Method for

Distribution System with Dispersed Generation,” IEEE

Transactions on Power Delivery

pp.822-827. doi:10.1109/TPWR

Automation of

[5] C. S. Wang, H. F. Zheng, Y. H. Xie, K. Chen,

“Probabilistic Power Flow Containing Distributed

Generation in Distribution System,”

Electric Power Systems, Vol.29, No.24, 2005, pp.39-44.

[6] A. E. Feijoo, Jose Cidras, “Modeling of Wind Farm in the

Load Flow Analysis,”IEEE transactions on power system,

Vol.15, No.1, 2000, pp. 110-115. doi:10.1109/59.852108

[7] C. S. Wang, Maliki Guindo, “Three-phase Unbalanced

Radial Distribution Power Flow Analysis with Wind

Farm Considered,” Automation of Electric Power System,

Vol.30, No.16, 2006, pp.21-26.

[8] Z. Xiang, W. Jiang, D. Xie, “Research on Stable

Operation of Grid-connected Wind Farms,” East China

Electric Power, Vol.35, No.3, 2007, pp.36-40.

[9] H. Y. Chen, J. F. Chen, X. Z. Duan, “Study on Power

Flow Calculation of Distribution System with DGs,”

Automation of Electric Power Systems, Vol. 30, No.1,

2006, pp.35-40.

[10] S. X. Wang, X. Y. Jiang, C. S. Wang, “Distribution

Power Flow Calculation with Wind Turbines,” China

International Conference on Electricity, 2006.

[11] S. Conti, S. Raiti “Probabilistic Load Flow Using Monte

Carlo Techniques for Distribution Networks with

Photovoltaic Generators,” Sol. Energy, 2007.

[12] O. Wasynczuk, “Modeling and Dynamic Performance of

a Line-commutated Photovoltaic Inverter System,”IEEE

Transactions on Power Conversion, Vol.4, No.3, 1989,

pp.337-343.

[13] L. Zhang, A. Al-Amoudi, Y. F. Bai, “Real-time

Maximum Power Point Tracking for Grid-Connected

Photovoltaic Systems,” Power Electronics and Variable

Speed Drives, 2000, pp.124-129.

[14] D. J. Zhou, Z. M. Zhao, L. B. Wu, “Analysis

Characteristics of Photovoltaic Arrays Using Simulation,”

Journal of Tsinghua University (Natural Science), Vol.47,

No.7, 2007, pp.1109-1112.

[15] J. D. Mondol, Y. G. Yohanis, Brian Norton, “Comparison

of Measured and Predicted Long Term Performance of a

Grid Connected Photovoltaic System,” Energy

Conversion and Management, Vol. 48, No. 4, 2007,

pp.1065-1080. doi:10.1016/j.enconman.2006.10.021

[16] Shigenori Naka, Takamu Genji, Yoshikazu Fukuyama,

“Practical Equipment Models for Fast Distribution Power

Flow Considering Interconnection of Distributed

Generators,” Power Engineering Society Summer Meeting,

IEEE. Vol. 2, July200 1, pp.1007-1012.

[17] J. Yao, D. Popovic, “Stability of a MV Distribution

Network with Electronically Interfaced Distributed

Generation,” Power Engineering Society General

Meeting IEEE, June2004, pp. 2162-2167.

[18] Y. H. Li, S. Rajakaruna, S. S.Choi, “Control of a Solid

Oxide Fuel Cell Power Plant in a Grid-Connected

Sys te m, ”IEEE, Transactions on Energy Conversion, Vol.

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