The Optimization of Microgrids Operation through a Heuristic Energy Management Algorithm


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The concept of microgrid was first introduced in 2001 as a solution for reliable integration of distributed generation and for harnessing their multiple advantages. Specific control and energy management systems must be designed for the microgrid operation in order to ensure reliable, secure and economical operation; either in grid-connected or stand-alone operating mode. The problem of energy management in microgrids consists of finding the optimal or near optimal unit commitment and dispatch of the available sources and energy storage systems so that certain selected criteria are achieved. In most cases, energy management problem do not satisfy the Bellman's principle of optimality because of the energy storage systems. Consequently, in this paper, an original fast heuristic algorithm for the energy management on stand-alone microgrids, which avoids wastage of the existing renewable potential at each time interval, is presented. A typical test microgrid has been analysed in order to demonstrate the accuracy and the promptness of the proposed algorithm. The obtained cost of energy is low (the quality of the solution is high), the primary adjustment reserve is correspondingly assured by the energy storage system and the execution runtime is very short (a fast algorithm). Furthermore, the proposed algorithm can be used for real-time energy management systems.



Edited by:

Aurel Vlaicu and Stelian Brad




B. Tomoiaga et al., "The Optimization of Microgrids Operation through a Heuristic Energy Management Algorithm", Advanced Engineering Forum, Vols. 8-9, pp. 185-194, 2013

Online since:

June 2013


[1] B. Lasseter, Microgrids [distributed power generation], Proc. of IEEE-PES Winter Meeting, vol. 1 (Jan. /Feb. ) (2001) 146-149.

[2] M. Chindris, B. Tomoiaga, P. Taylor, L. Cipcigan, The Load Flow Calculation in Radial Electric Networks with Distributed Generation Under Unbalanced and Harmonic Polluted Regime, Proc. of 42nd International Universities Power Engineering Conference, Brighton, UK (September 4-6) (2007).

DOI: 10.1109/upec.2007.4469076

[3] S. Kennedy, M.M. Marden, Reliability of Islanded Microgrids with Stochastic Generation and Prioritized Load, Proc. of 2009 IEEE Bucharest Power Tech Conference, June 28th - July 2nd, Bucharest, Romania (2009) 1-7.

DOI: 10.1109/ptc.2009.5281838

[4] A.H. Kasem Alaboudy, H.H. Zeineldin, J.L. Kirtley, Microgrid Stability Characterization Subsequent to Fault-Triggered Islanding Incidents, IEEE Trans. on Power Delivery 27 (April) (2012) 658-669.

DOI: 10.1109/tpwrd.2012.2183150

[5] C. Hou, X. Hu, D. Hui, Hierarchical control techniques applied in micro-grid, Proc. of 2010 International Conference on Power System Technology (POWERCON), Beijing, China (October 24-28) (2010) 1-5.

DOI: 10.1109/powercon.2010.5666418

[6] T. L. Vandoorn, B. Zwaenepoel, J. D. M. De Kooning, B. Meersman and L. Vandevelde, Smart microgrids and virtual power plants in a hierarchical control structure, Proc. of 2011 2ndIEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe), Ghent, Belgium (December 5-7) (2011).

DOI: 10.1109/isgteurope.2011.6162830

[7] A. Colet-Subirachs, A. Ruiz-Alvarez, O. Gomis-Bellmunt, F. Alvarez-Cuevas-Figuerola, A. Sudria-Andreu, Centralized and distributed active and reactive power control of a utility connected microgrid using IEC61850, IEEE Systems Journal 6 (2012).

DOI: 10.1109/jsyst.2011.2162924

[8] T.L. Vandoorn, B. Meersman, J.D.M. De Kooning, L. Vandevelde, Analogy Between Conventional Grid Control and Islanded Microgrid Control Based on a Global DC-Link Voltage Droop, IEEE Transactions on Power Delivery 27 (July) (2012) 1405-1414.

DOI: 10.1109/tpwrd.2012.2193904

[9] A.D. Hawkes, M.A. Leach, Modelling high level system design and unit commitment for a microgrid, Applied Energy 86 (2009) 1253–1265.

DOI: 10.1016/j.apenergy.2008.09.006

[10] M. Bollen, J. Zhong, Y. Lin, Performance indices and objectives for microgrids, Proc. of 20th International Conference on Electricity Distribution, Prague, (June 8-11) (2009) paper 0607.

[11] H. Kanchev, D. Lu, F. Colas, V. Lazarov, B. Francois, Energy Management and Operational Planning of a Microgrid With a PV-Based Active Generator for Smart Grid Applications, IEEE Trans. on Industrial Electronics 58 (October) (2011) 4583-4592.

DOI: 10.1109/tie.2011.2119451

[12] F. Katiraei, M.R. Iravani, Power Management Strategies for a Microgrid With Multiple Distributed Generation Units, IEEE Trans. on Power Systems 21 (November) (2006) 1821-1831.

DOI: 10.1109/tpwrs.2006.879260

[13] A.G. Tsikalakis, N.D. Hatziargyriou, Centralized Control for Optimizing Microgrids Operation, IEEE Trans. on Energy Conversion 23 (March) (2008) 241-248.

DOI: 10.1109/tec.2007.914686

[14] C. Chen, S. Duan, T. Cai, B. Liu, G. Hu, Optimal Allocation and Economic Analysis of Energy Storage System in Microgrids, IEEE Trans. on Power Electronics 26 (October) (2011) 2762-2773.

DOI: 10.1109/tpel.2011.2116808

[15] S. Conti, R. Nicolosi, S.A. Rizzo, H.H. Zeineldin, Optimal Dispatching of Distributed Generators and Storage Systems for MV Islanded Microgrids, IEEE Trans. on Power Delivery 27 (July) (2012) 1243-1251.

DOI: 10.1109/tpwrd.2012.2194514

[16] T Logenthiran, D. Srinivasan, A. M. Khambadkone, H. N. Aung, Multiagent system for real-time operation of a microgrid in real-time digital simulator, IEEE Trans. on Smart Grid 3 (June) (2012) 925-933.

DOI: 10.1109/tsg.2012.2189028

[17] M. Salani, A. Giusti, G.D. Caro, A.E. Rizzoli, L.M. Gambardella, Lexicographic multi-objective optimization for the unit commitment problem and economic dispatch in a microgrid, Proc. of 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe), Manchester (2011).

DOI: 10.1109/isgteurope.2011.6162806

[18] T. Niknam, R. Azizipanah-Abarghooee, M.R. Narimani, An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation, Applied Energy 99 (2012) 455–470.

DOI: 10.1016/j.apenergy.2012.04.017

[19] C. Chen, S. Duan, T. Cai, B. Liu, G. Hu, Smart energy management system for optimal microgrid economic operation, IET Renewable Power Generation 5 (2011) 258–267.

DOI: 10.1049/iet-rpg.2010.0052

[20] M. Marzband, A. Sumper, M. Chindris, B. Tomoiaga, Energy management system of hybrid microgrid with energy storage, Proc. of International Word Energy System Conference (WESC), Suceava, Romania (2012).

[21] C. Battistelli, L. Baringob, A.J. Conejo, Optimal energy management of small electric energy systems including V2G facilities and renewable energy sources, Electric Power Systems Research 92 (2012) 50–59.

DOI: 10.1016/j.epsr.2012.06.002

[22] M. Silva, H. Morais, Z. Vale, An integrated approach for distributed energy resource short-term scheduling in smart grids considering realistic power system simulation, Energy Conversion and Management 64 (2012) 273–288.

DOI: 10.1016/j.enconman.2012.04.021

[23] C. Bustos, D. Watts, H. Ren, MicroGrid Operation and Design Optimization with Synthetic Wind and Solar Resources, IEEE Latin America Trans. 10 (March) (2012) 1550-1562.

DOI: 10.1109/tla.2012.6187599

[24] J. Soares, M. Silva, T. Sousa, Z. Vale, H. Morais, Distributed energy resource short-term scheduling using Signaled Particle Swarm Optimization, Energy 42 (2012) 466-476.

DOI: 10.1016/

[25] I.C. Paschalidis, B. Li, M.C. Caramanis, Demand-Side Management for Regulation Service Provisioning Through Internal Pricing, IEEE Trans. on Power Systems 27 (August) (2012) 1531-1539.

DOI: 10.1109/tpwrs.2012.2183007

[26] R.E. Bellman, Dynamic Programming, Princeton University Press, Princeton, NJ, 1957 (Republished 2003).

[27] C.D. Brian, A Simple Expected Running Time Analysis for Randomized Divide and Conquer, Algorithms, Discrete Applied Mathematics (2006) 1-5.

DOI: 10.1016/j.dam.2005.07.005

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