A Two Stage Optimal Sitting and Sizing of Multiple Distributed Generators byImproved Teaching and Learning Optimization Algorithm

G. Balakrishna*
*Professor, Department of Electrical and Electronics Engineering, Sreenivasa Ramanujan Institute of Technology, Anantapuramu, India.
Periodicity:May - July'2017
DOI : https://doi.org/10.26634/jps.5.2.13618

Abstract

The quality of power in terms of inbound and constant voltages available at various consumers' terminals is expected to be good whenever the distribution system to which these consumers are connected is correctly planned and designed. But, it is becoming challenging due to the continuous increase in the electrical power demand that leads to go for using Distributed Generators (DG). In this work, a two stage optimal sitting and sizing of Distributed Generators is proposed in which at first stage, the optimal locations of these DG units are obtained by sensitivity analysis and in the latter stage, optimal sizes of these units are obtained by an improved Teaching and Learning optimization algorithm by considering the multiple objective functions like minimization of power loss, cost function, and emission produced. The proposed algorithm is tested on a 69-bus radial distribution test system with two substations based on the three objectives and the results are presented. Simulation results show that the proposed method has given better solution than the existing algorithm.

Keywords

Distribution Systems, Distributed Generators (DGs), Improved Teaching Learning Algorithm, Sensitivity Analysis

How to Cite this Article?

Balakrishna, G. (2017). A Two Stage Optimal Sitting and Sizing of Multiple Distributed Generators by Improved Teaching and Learning Optimization Algorithm i-manager’s Journal on Power Systems Engineering, 5(2), 10-18. https://doi.org/10.26634/jps.5.2.13618

References

[1]. Agalgaonkar, A. P., Kulkarni, S. V., Khaparde, S. A., & Soman, S. A. (2004). Placement and penetration of distributed generation under standard market design. International Journal of Emerging Electric Power Systems, 1(1), 1-16.
[2]. Ahmadigorji, M., Abbaspour, A., Rajabi-Ghahnavieh, A., & Fotuhi-Firuzabad, M. (2009). Optimal DG placement in distribution systems using cost/worth analysis. World Academy of Science, Engineering and Technology, 49, 746-753.
[3]. Asakura, T., Yura, T., Hayashi, N., & Fukuyama, Y. (2000). Long-term distribution network expansion planning considering multiple construction plans. In Power System Technology, 2000. Proceedings. PowerCon 2000. International Conference on (Vol. 2, pp. 1101- 1106). IEEE.
[4]. Celli, G., Ghiani, E., Mocci, S., & Pilo, F. (2005). A multiobjective evolutionary algorithm for the sizing and siting of distributed generation. IEEE Transactions on Power Systems, 20(2), 750-757.
[5]. Connolly, D., Lund, H., Mathiesen, B. V., & Leahy, M. (2010). A review of computer tools for analysing the integration of renewable energy into various energy systems. Applied Energy, 87(4), 1059-1082.
[6]. Das, D. (2006). A fuzzy multiobjective approach for network reconfiguration of distribution systems. IEEE Transactions on Power Delivery, 21(1), 202-209.
[7]. Dugan, R. C., McDermott, T. E., & Ball, G. J. (2001). Planning for distributed generation. IEEE Industry Applications Magazine, 7(2), 80-88.
[8]. El-Khattam, W., Bhattacharya, K., Hegazy, Y., & Salama, M. M. A. (2004). Optimal investment planning for distributed generation in a competitive electricity market. IEEE Transactions on Power Systems, 19(3), 1674-1684.
[9]. El-Khattam, W., Hegazy, Y. G., & Salama, M. M. A. (2005). An integrated distributed generation optimization model for distribution system planning. IEEE Transactions on Power Systems, 20(2), 1158-1165.
[10]. Favuzza, S., Graditi, G., Ippolito, M. G., & Sanseverino, E. R. (2007). Optimal electrical distribution systems reinforcement planning using gas micro turbines by dynamic ant colony search algorithm. IEEE Transactions on Power Systems, 22(2), 580-587.
[11]. Hedayati, H., Nabaviniaki, S. A., & Akbarimajd, A. (2008). A method for placement of DG units in distribution networks. IEEE Transactions on Power Delivery, 23(3), 1620- 1628.
[12]. Jurado, F., & Cano, A. (2006). Optimal placement of biomass fuelled gas turbines for reduced losses. Energy Conversion and Management, 47(15), 2673-2681.
[13]. Kim, J. O., Nam, S. W., Park, S. K., & Singh, C. (1998). Dispersed generation planning using improved Hereford ranch algorithm. Electric Power Systems Research, 47(1), 47-55.
[14]. Lam, H. L., Varbanov, P. S., & Klemeš, J. J. (2011). Regional renewable energy and resource planning. Applied Energy, 88(2), 545-550.
[15]. Manfren, M., Caputo, P., & Costa, G. (2011). Paradigm shift in urban energy systems through distributed generation: Methods and models. Applied Energy, 88(4), 1032-1048.
[16]. Nara, K., Hayashi, Y., Ikeda, K., & Ashizawa, T. (2001). Application of tabu search to optimal placement of distributed generators. In Power Engineering Society Winter Meeting, 2001. IEEE (Vol. 2, pp. 918-923). IEEE.
[17]. Philipson, L. (2000). Distributed and dispersed generation: Addressing the spectrum of consumer needs. In Power Engineering Society Summer Meeting, 2000. IEEE (Vol. 3, pp. 1663-1665). IEEE.
[18]. Prakash, K., & Sydulu, M. (2007, June). Particle Swarm Optimization based capacitor placement on radial distribution systems. In Power Engineering Society General Meeting, 2007. IEEE (pp. 1-5). IEEE.
[19]. Rau, N.S., Wan, Y.H. Optimal location of resources in distributed planning. IEEE Transactions on Power Systems, 9(4), 2014-2020.
[20]. Sedighizadeh, M., & Rezazadeh, A. (2008). Using genetic algorithm for distributed generation allocation to reduce losses and improve voltage profile. World Academy of Science, Engineering and Technology, 37(1), 251-256.
[21]. Senjyu, T., Miyazato, Y., Yona, A., Urasaki, N., & Funabashi, T. (2008). Optimal distribution voltage control and coordination with distributed generation. IEEE Transactions on Power Delivery, 23(2), 1236-1242.
[22]. Sweet, W. (2001). Networking assets [distributed generation]. IEEE Spectrum, 38(1), 84-86.
[23]. Thomas, A., Anderson, G., Soder, L. (2003). Distributed generation: A definition. Electric Power Systems Research, 57(3), 195-204.
[24]. Teng, J. H., Liu, Y. H., Chen, C. Y., & Chen, C. F. (2007). Value-based distributed generator placements for service quality improvements. International Journal of Electrical Power & Energy Systems, 29(3), 268-274.
[25]. Wang, C., & Nehrir, M. H. (2004). Analytical approaches for optimal placement of distributed generation sources in power systems. IEEE Transactions on Power Systems, 19(4), 2068-2076.
[26]. Zhou, Y., Wang, L., & McCalley, J. D. (2011). Designing effective and efficient incentive policies for renewable energy in generation expansion planning. Applied Energy, 88(6), 2201-2209.
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