Please wait a minute...

Frontiers in Energy

Front. Energy    2014, Vol. 8 Issue (2) : 261-268     https://doi.org/10.1007/s11708-014-0298-6
RESEARCH ARTICLE |
Reactive power compensation of an isolated hybrid power system with load interaction using ANFIS tuned STATCOM
Nitin SAXENA,Ashwani KUMAR()
Department of Electrical Engineering, National Institute of Technology, Kurukshetra 136119, India
Download: PDF(698 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Abstract

This paper presents an adaptive neuro fuzzy interference system (ANFIS) based approach to tune the parameters of the static synchronous compensator (STATCOM) with frequent disturbances in load model and power input of a wind-diesel based isolated hybrid power system (IHPS). In literature, proportional integral (PI) based controller constants are optimized for voltage stability in hybrid systems due to the interaction of load disturbances and input power disturbances. These conventional controlling techniques use the integral square error (ISE) criterion with an open loop load model. An ANFIS tuned constants of a STATCOM controller for controlling the reactive power requirement to stabilize the voltage variation is proposed in the paper. Moreover, the interaction between the load and the isolated power system is developed in terms of closed loop load interaction with the system. Furthermore, a comparison of transient responses of IHPS is also presented when the system has only the STATCOM and the static compensation requirement of the induction generator is fulfilled by the fixed capacitor, dynamic compensation requirement, meanwhile, is fulfilled by STATCOM. The model is tested for a 1% step increase in reactive power load demand at t = 0 s and then a sudden change of 3% from the 1% at t = 0.01 s for a 1% step increase in power input at variable wind speed model.

Keywords isolated wind-diesel power system      adaptive neuro fuzzy interference system (ANFIS)      integral square error (ISE) criterion      load interaction     
Corresponding Authors: Ashwani KUMAR   
Issue Date: 19 May 2014
 Cite this article:   
Nitin SAXENA,Ashwani KUMAR. Reactive power compensation of an isolated hybrid power system with load interaction using ANFIS tuned STATCOM[J]. Front. Energy, 2014, 8(2): 261-268.
 URL:  
http://journal.hep.com.cn/fie/EN/10.1007/s11708-014-0298-6
http://journal.hep.com.cn/fie/EN/Y2014/V8/I2/261
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
Nitin SAXENA
Ashwani KUMAR
Fig.1  Isolated wind-diesel hybrid system with STATCOM only
Fig.2  Isolated wind-diesel hybrid system with STATCOM and FC
Fig.3  Block diagram of IHPS with open loop of load RPD
Fig.4  Block diagram of IHPS with closed loop of load RPD
Fig.5  Flowchart showing steps for ANFIS based tuning of STATCOM
Fig.6  Simulink block diagram of IHPS
Fig.7  Disturbance in load demand for system study
Fig.8  ΔV deviation with closed loop load model and STATCOM+ FC in IHPS
Fig.9  ΔQSG deviation with closed loop load model and STATCOM+ FC in IHPS
Fig.10  ΔQST deviation with closed loop load model and STATCOM+ FC in IHPS
Fig.11  ΔQIG deviation with closed loop load model and STATCOM+ FC in IHPS
Fig.12  Comparison of transient response of voltage variation for two options in IHPS
Fig.13  Comparison of transient response of SG reactive power variation deviation for two options in IHPS
Fig.14  Comparison of transient response of STATCOM reactive power variation deviation for two options in IHPS
Fig.15  Comparison of transient response of IG reactive power variation deviation for two options in IHPS
1 MurthyS S, MalikO P, TandonA K. Analysis of self-excited induction generator. IEE Proceedings, 1982, 129(6): 261–266
2 BansalR C, BhattiT S, KothariD P. Bibliography on the application of induction generators in nonconventional energy systems. IEEE Transactions on Energy Conversion, 2003, 18(3): 433–439
doi: 10.1109/TEC.2003.815856
3 BansalR C. Three phase self-excited induction generators: an overview. IEEE Transactions on Energy Conversion, 2005, 20(2): 292–299
doi: 10.1109/TEC.2004.842395
4 SinghG K. Self-excited induction generator research—a survey. Electric Power Systems Research, 2004, 69(2–3): 107–114
doi: 10.1016/j.epsr.2003.08.004
5 SharmaP, Kumar SaxenaN, RamakrishnaK S S, BhattiT S. Reactive power compensation of isolated wind-diesel hybrid power systems with STATCOM and SVC. International Journal on Electrical Engineering and Informatics, 2010, 2(3): 192–203
6 Suresh BabuA, SaibabuC. Simulation studies on automatic generation control in deregulated environment without considering GRC. International Journal of Engineering Science and Technology, 2012, 4(3): 912–921 (IJEST)
7 MuyeenS M, AliM H, TakahashiR, MurataT, TamuraJ. Stabilization of wind farms connected with multi machine power system by using STATCOM. In: Proceedings of 2007 IEEE Power Technology. Lausanne, Switzerland, 2007, 1–5
8 SinghB, MurthyS S, GuptaS. Analysis and design of STATCOM based voltage regulator for self-excited induction generators. IEEE Transactions on Energy Conversion, 2004, 19(4): 783–790
doi: 10.1109/TEC.2004.827710
9 CravenR H, MichaelM R. Load representations in the dynamic solution of the Queensland power system. Journal of Electronic and Electrical Engineering, 1983, 3(1): 1–7
10 SaxenaN, KumarA. Load modeling interaction on hybrid power system using STATCOM. In: Proceedings of 2010 Annual IEEE India Conference, Kolkata, India, 2010
11 KassemA M, YousefA M. Robust control of an isolated hybrid wind–diesel power system using Linear Quadratic Gaussian approach. International Journal of Electrical Power & Energy Systems, 2011, 33(4): 1092–1100
doi: 10.1016/j.ijepes.2011.01.028
12 BansalR C. Automatic reactive power control of autonomous hybrid power system. Dissertation for the Doctoral Degree. Centre for Energy Studies, Indian Institute of Technology, Delhi, India, 2002
13 SharmaP, SaxenaN K, BhattiT S. Study of autonomous hybrid power system using SVC and STATCOM. In: Proceedings of the International Conference on Power Systems. Kharagpur, India, 2009, 1–5
14 BansalR C, BhattiT S, KumarV. Reactive power control of autonomous wind diesel hybrid power systems using ANN. In: Proceedings of the International Power Engineering Conference 2007. Singapore, 2007, 982–987
15 LeidholdR, GarciaG, VallaM I. Induction generator controller based on the instantaneous reactive power theory. IEEE Transactions on Energy Conversion, 2002, 17(3): 368–373
doi: 10.1109/TEC.2002.801994
16 MilanovicJ V, HiskensI A. Effect of load dynamics on power system damping. IEEE Transactions on Power Systems, 1995, 10(2): 1022–1028
doi: 10.1109/59.387947
17 HiskensI A, MilanovicJ V. Load modeling in studies of power system damping. IEEE Transactions on Power Systems, 1995, 10(4): 1781–1788
doi: 10.1109/59.476041
18 Fraile-ArdanuyJ, ZufiriaP J. Adaptive power system stabilizer using ANFIS and genetic algorithms. In: Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference. Seville, Spain, 2005, 8028–8033
19 DastranjM R, EbrahimiE, ChangiziN, SameniE. Control DC motor speed with adaptive neuro fuzzy control (ANFIS). Australian Journal of Basic and Applied Sciences, 2011, 5(10): 1499–1504
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed