Abstract




 
   

IJE TRANSACTIONS B: Applications Vol. 31, No. 2 (February 2018) 299-306   

PDF URL: http://www.ije.ir/Vol31/No2/B/14-2692.pdf  
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  OPTIMAL LOCATING AND SIZING OF UNIFIED POWER QUALITY CONDITIONER- PHASE ANGLE CONTROL FOR REACTIVE POWER COMPENSATION IN RADIAL DISTRIBUTION NETWORK WITH WIND GENERATION
 
A. R. Moradi, Y. Alinejad-Beromi, M. Parsa and M. Mohammadi
 
( Received: December 24, 2016 – Accepted in Revised Form: October 27, 2017 )
 
 

Abstract    In this article, a multi-objective planning is demonstrated for reactive power compensation in radial distribution networks with wind generation via unified power quality conditioner (UPQC). UPQC model, based on phase angle control (PAC), is used. In presented method, optimal locating of UPQC-PAC is done by simultaneous minimizing of objective functions such as: grid power loss, percentage of nodes with voltage drop, and capacity of UPQC. The proposed model is a complicated non-linear optimization problem. For introducing group of non-dominated solutions, a multi-objective grey wolf optimizer (MOGWO) algorithm based on probabilistic load flow is used, then a fuzzy sets theory is used to achieve the best response. In order to evaluate reliability of mentioned approach, simulation is done on 33-bus distribution network.

 

Keywords    fuzzy sets theory, multi-objective grey wolf optimizer (MOGWO), radial distribution network, reactive power compensation, unified power quality conditioner (UPQC), wind generation

 

چکیده    در این مقاله، یک برنامه ریزی تصادفی چند هدفه برای جبران سازی توان راکتیو در شبکه های توزیع شعاعی با منابع بادی از طریق بهساز یکپارچه کیفیت توان (UPQC) ارائه شده است. مدل UPQC بر پایه کنترل زاویه فاز (PAC) استفاده شده است. در روش ارائه شده، جایابی بهینه UPQC-PAC با حداقل کردن همزمان اهدافی مانند: تلفات توان شبکه، درصد شین های دچار افت ولتاژ شده و ظرفیت UPQC انجام شده است. مدل مطرح شده یک مساله بهینه سازی غیر خطی پیچیده می باشد. برای تعیین کردن مجموعه جواب های غیر مغلوب، الگوریتم چند هدفه بهینه ساز گرگ خاکستری (MOGWO) بر پایه پخش بار احتمالاتی استفاده شده است، سپس تئوری تصمیم گیری فازی برای دستیابی بهترین پاسخ استفاده شده است. به منظور ارزیابی قابلیت اطمینان روش مطرح شده، شبیه سازی بروی شبکه توزیع 33 باسه انجام شده است. نتایج بهدست آمده از شبیهسازی نشان میدهد در صورتی که تاثیر عدم قطعیت باد در شبکه مورد مطالعه لحاظ شود تلفات توان و درصد گرههای دچار افت ولتاژ نسبت به شبکه بدون عدم قطعیت به صورت چشمگیری کاهش مییابد.

References   

1.      Das, D., "Reactive power compensation for radial distribution networks using genetic algorithm", International Journal of Electrical Power & Energy Systems,  Vol. 24, No. 7, (2002), 573-581.

2.      Chis, M., Salama, M. and Jayaram, S., "Capacitor placement in distribution systems using heuristic search strategies", IEE Proceedings-Generation, Transmission and Distribution,  Vol. 144, No. 3, (1997), 225-230.

3.      El-Fergany, A.A. and Abdelaziz, A.Y., "Cuckoo search-based algorithm for optimal shunt capacitors allocations in distribution networks", Electric Power Components and Systems,  Vol. 41, No. 16, (2013), 1567-1581.

4.      Liang, R.-H. and Wang, Y.-S., "Fuzzy-based reactive power and voltage control in a distribution system", IEEE Transactions on Power Delivery,  Vol. 18, No. 2, (2003), 610-618.

5.      Calovic, M.S. and Saric, A.T., "An integrated fuzzy concept for multi-objective capacitor placement optimization in distribution networks", Electric Power Components and Systems,  Vol. 30, No. 9, (2002), 947-966.

6.      Ara, A.L., Tolabi, H.B. and Hosseini, R., "Dynamic modeling and controller design of distribution static compensator in a microgrid based on combination of fuzzy set and galaxy-based search algorithm", International Journal of Engineering-Transactions A: Basics,  Vol. 29, No. 10, (2016), 1392.

7.      Khadkikar, V., "Enhancing electric power quality using upqc: A comprehensive overview", IEEE transactions on Power Electronics,  Vol. 27, No. 5, (2012), 2284-2297.

8.      Pal, Y. and Swarup, A., "A comparative analysis of upqc-p, upqc-q and upqc-vamin-a simulation study", Vol. 80, No. 5, (2014).

9.      Basu, M., Das, S.P. and Dubey, G.K., "Comparative evaluation of two models of upqc for suitable interface to enhance power quality", Electric Power Systems Research,  Vol. 77, No. 7, (2007), 821-830.

10.    Khadkikar, V. and Chandra, A., "Upqc-s: A novel concept of simultaneous voltage sag/swell and load reactive power compensations utilizing series inverter of upqc", IEEE transactions on Power Electronics,  Vol. 26, No. 9, (2011), 2414-2425.

11.    Ganguly, S., "Multi-objective planning for reactive power compensation of radial distribution networks with unified power quality conditioner allocation using particle swarm optimization", IEEE Transactions on Power Systems,  Vol. 29, No. 4, (2014), 1801-1810.

12.    Sattarpour, T. and Nazarpour, D., "Assessing the impact of size and site of dgs and sms in active distribution networks for energy losses cost", International Journal of Engineering-Transactions A: Basics,  Vol. 28, No. 7, (2015), 1002-1010.

13.    Arabali, A., Ghofrani, M., Etezadi-Amoli, M., Fadali, M.S. and Moeini-Aghtaie, M., "A multi-objective transmission expansion planning framework in deregulated power systems with wind generation", IEEE Transactions on Power Systems,  Vol. 29, No. 6, (2014), 3003-3011.

14.    Mirjalili, S., Mirjalili, S.M. and Lewis, A., "Grey wolf optimizer", Advances in Engineering Software,  Vol. 69, No., (2014), 46-61.

15.    Mirjalili, S., Saremi, S., Mirjalili, S.M. and Coelho, L.d.S., "Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization", Expert Systems with Applications,  Vol. 47, (2016), 106-119.

16.    Arabali, A., Hosseini, S.H. and Moeini-Aghtaie, M., "Private investor-based transmission expansion planning in deregulated environments", Electric Power Components and Systems,  Vol. 43, No. 6, (2015), 620-632.

17.    Maghouli, P., Hosseini, S.H., Buygi, M.O. and Shahidehpour, M., "A multi-objective framework for transmission expansion planning in deregulated environments", IEEE Transactions on Power Systems,  Vol. 24, No. 2, (2009), 1051-1061.

18.    Baran, M.E. and Wu, F.F., "Network reconfiguration in distribution systems for loss reduction and load balancing", IEEE Transactions on Power Delivery,  Vol. 4, No. 2, (1989), 1401-1407.

19.             Ghosh, S. and Das, D., "Method for load-flow solution of radial distribution networks", IEE Proceedings-Generation, Transmission and Distribution,  Vol. 146, No. 6, (1999), 641-648.


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