Optimal Generation Rescheduling in Microgrids Under Uncertainty


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Abstract


Microgrids could increase reliability locally through the establishment of a specific improvement plan that integrates distributed power generation and other smart technologies. In this paper we propose a solution method for an optimal generation rescheduling problem in microgrids in order to determinate a stable equilibrium state following outages.
The presented approach, focused on MV distribution systems, takes into account uncertainty modeled by Fuzzy Numbers due to both the load profiles and the power production from renewable energy sources.
The method has been tested on 69-bus radial distribution systems considering two outage cases to demonstrate the performance and effectiveness of the proposed method. The obtained encouraging results are presented and discussed.


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Keywords


Microgrid; Renewable Energy Sources; Fuzzy Numbers; Uncertainty

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References


B.K. Talukdar, A.K. Sinha, S. Mukhopadhyay, A. Bose, A computationally simple method for cost-efficient generation rescheduling and load shedding for congestion management, Electric Power System Research, vol. 27 n. 5 – 6, June-July 2005, pp. 379 – 388.

D. Hazarika, A.K. Sinha, Power system restoration: planning and simulation, Electrical Power and Energy Systems, vol. 25 n. 3, March 2003, pp. 209 – 218.

A. Borghetti, M. Bosetti, S. Grillo, S. Massucco, C.A. Nucci, M. Paolone, F. Silvestro, Short-Term Scheduling and Control of Active Distribution Systems With High Penetration of Renewable Resources, IEEE Systems Journal, vol. 4 n. 3, Sept. 2010, pp. 313 – 322.

P.M. Costa, M.A. Matos, Assessing the contribution of microgrids to the reliability of distribution networks, Electric Power System Research, vol. 79, n. 1, February 2009, pp. 382 – 389.

D. Menniti, N. Scordino, N. Sorrentino, Secure and economic management of a power system in the presence of wind generation, Electric Power System Research, vol. 80 n. 11, November 2010, pp. 379 – 388.

S. Dutta, S.P. Singh, Optimal Rescheduling of Generators for Congestion Management Based on Particle Swarm Optimization, IEEE Trans. on Power Systems, vol. 23 n. 4, 2008, pp. 1560 – 1569.

A. Kumar, S.C. Srivastava, S.N. Singh, A zonal congestion management approach using real and reactive power rescheduling, IEEE Trans. on Power Systems, vol. 19 n.1, Feb. 2004, pp. 554 – 562.

C.Y. Chung, Lei Wang, F. Howell, P. Kundur, Generation rescheduling methods to improve power transfer capability constrained by small-signal stability, IEEE Trans. on Power Systems, vol. 19 n.1, Feb. 2004, pp. 524 – 530.

A.A. Fouad, T. Jianzhong, Stability constrained optimal rescheduling of generation, IEEE Trans. on Power Systems, vol. 8, n. 1, Feb 1993, pp.105 – 112.

K.N. Shubhanga, A.M. Kulkarni, Stability-constrained generation rescheduling using energy margin sensitivities, IEEE Trans. on Power Systems, vol. 19 n. 3, Aug. 2004, pp.1402 – 1413.

D.Z. Fang, Yang Xiaodong, Sun Jingqiang, Yuan Shiqiang, Zhang Yao, An Optimal Generation Rescheduling Approach for Transient Stability Enhancement, IEEE Trans. on Power Systems, vol. 22 n. 1, Feb. 2007, pp. 386 – 394.

Wenping Li; A. Bose, A coherency based rescheduling method for dynamic security, 20th International Conference on Power Industry Computer Applications, May, 11 – 16, 1997.

Y. Xue, Th. Van Cutsem, M. Ribbens-Pavella, Real-time analytic sensitivity method for transient security assessment and preventive control, Generation, Transmission and Distribution, IEE Proceedings C, vol. 135 n. 2, Mar 1988, pp. 107 – 117.

T.B. Nguyen, M.A. Pai, Dynamic security-constrained rescheduling of power systems using trajectory sensitivities, IEEE Trans. on Power Systems, vol. 18 n. 2, May 2003, pp.848 – 854.

D. Gan, Z. Qu, H. Cai, X. Wang, Methodology and computer package for generation rescheduling, Generation, Transmission and Distribution, IEE Proceedings, vol. 144 n. 3, May 1997, pp. 301 – 307.

Ding-Heh Kuo, A. Bose, A generation rescheduling method to increase the dynamic security of power systems, IEEE Trans. on Power Systems, vol. 10 n.1, Feb 1995, pp.68 – 76.

D.J. Sobajic, Y.-H Pao, Artificial neural-net based dynamic security assessment for electric power systems, IEEE Trans. on Power Systems, vol. 4 n. 1, Feb. 1989, pp. 220 – 228.

A. Hoballah, I. Erlich, Online market-based rescheduling strategy to enhance power system stability, Generation, Transmission & Distribution, IET, vol. 6 n. 1, January 2012, pp. 30 – 38.

Nejad, R.R., Tafreshi, S.M.M., Smart energy management system for a microgrid by considering uncertainties, (2012) International Review of Electrical Engineering (IREE), 7 (6), pp. 6197-6208.

Gilani, S.H., Ghadi, M.J., Afrakhte, H., Optimal allocation of wind turbines considering different costs for interruption aiming at power loss reduction and reliability improvement using Imperialistic Competitive Algorithm, (2013) International Review of Electrical Engineering (IREE), 8 (1), pp. 284-296.

R. Noroozian, A. Jalilvand, M. Kazemi, H. Vahedi, Reliability and Availability Modelling of Uninterruptible Power Supply Systems Using Monte-Carlo Simulation, (2006) International Review of Electrical Engineering (IREE), 1 (3), pp. 374-380.

B. A. Gomes, J. T. Saraiva, Demand and generation cost uncertainty modeling in power system optimization studies, Electric Power System Research, vol. 79 n. 6, 2009, pp. 1000 –1009.

L.A. Zadeh, Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems, vol. 1, n. 1, 1978, pp. 3 – 28.

E. Muela, G. Schweickardt, F. Garces, Fuzzy possibilistic model for medium-term power generation planning with environmental criteria, Energy Policy, vol. 35 n. 11, 2007, pp. 5643 – 5655.

A. Vaccaro, C.A. Canizares, D. Villacci, An Affine Arithmetic-Based Methodology for Reliable Power Flow Analysis in the Presence of Data Uncertainty, IEEE Trans. on Power Systems, vol. 25 n. 2, 2010, pp. 624 – 632.

Xiong Wu, Xiuli Wang, Zhaohong Bie, Optimal generation scheduling of a microgrid, 3rd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe), Oct., 14-17, 2012.

Chung-Hsing Yeh, Hepu Deng, A practical approach to fuzzy utilities comparison in fuzzy multicriteria analysis, International Journal of Approximate Reasoning, vol. 35, n. 2, 2004, pp. 179 –194.

V. Calderaro, V. Galdi, M. Cortes-Carmona, R. Palma-Behnke, Fuzzy load-shedding strategy in distribution systems, 11th International Conference on Intelligent Systems Design and Applications (ISDA), Nov., 22-24, 2011.

M.E. Baran, F.F. Wu, Optimal capacitor placement on radial distribution systems, IEEE Trans. on Power Delivery, vol. 4 n. 1, Jan 1989, pp. 725 – 734.

Khorramdel, B., Khorramdel, H., Marzooghi, H., Multi-objective Optimal operation of microgrid with an efficient stochastic algorithm considering uncertainty of wind power, (2011) International Review on Modelling and Simulations (IREMOS), 4 (6), pp. 3079-3089.

Hassanzadehfard, H., Moghaddas-Tafreshi, S.M., Hakimi, S.M., Optimal sizing of a reliable grid connected micro-grid considering uncertainty and interruptible loads, (2011) International Review on Modelling and Simulations (IREMOS), 4 (3), pp. 1216-1225.


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