Abstract
Energy management system (EMS) has a vital role in the operation of a microgrid (MG) in the hourly or minute-by-minute time-scales. EMS coordinates with the other systems such as advanced metering infrastructure (AMI), maintenance scheduling, outage management, distribution management, and weather forecasting systems to gather an extensive amount of data on a real-time horizon. The gathered data is precisely processed to generate appropriate control signals to achieve the predetermined economic or technical goals. However, it is a hierarchical decision making including daily, hourly, and real-time scheduling. In this chapter, the performance of EMS is analyzed in both normal state and contingency conditions. Normal operation mainly focuses on economic aspects, whilst in the contingency state, EMS should guarantee the security of the system. This chapter presents a conceptual explanation on this topic along with the mathematical modelling and some examples.
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References
Zia, M. F., Elbouchikhi, E., & Benbouzid, M. (2018). Microgrids energy management systems: A critical review on methods, solutions, and prospects. Applied Energy, 222, 1033–1055.
Palma-Behnke, R., et al. (2013). A microgrid energy management system based on the rolling horizon strategy. IEEE Transactions on Smart Grid, 4(2), 996–1006.
G. Graditi, M. G. Ippolito, E. R. Sanseverino, and G. Zizzo, Optimal set points regulation of distributed generation units in micro-grids under islanded operation, In 2010 IEEE International Symposium on Industrial Electronics, 2010, pp. 2253–2260.
Chen, C., Duan, S., Cai, T., Liu, B., & Hu, G. (2011). Smart energy management system for optimal microgrid economic operation. IET Renewable Power Generation, 5(3), 258–267.
M. L. Di Silvestre, G. Graditi, M. G. Ippolito, E. R. Sanseverino, and G. Zizzo, “Robust multi-objective optimal dispatch of distributed energy resources in micro-grids,” In 2011 IEEE Trondheim Power Tech, 2011, pp. 1–5.
Sanseverino, E. R., Di Silvestre, M. L., Ippolito, M. G., De Paola, A., & Re, G. L. (2011). An execution, monitoring and replanning approach for optimal energy management in microgrids. Energy, 36(5), 3429–3436.
R. Palma-Behnke, C. Benavides, E. Aranda, J. Llanos, and D. Saez, “Energy management system for a renewable based microgrid with a demand side management mechanism,” In 2011 IEEE symposium on computational intelligence applications in smart grid (CIASG), 2011, pp. 1–8.
Bustos, C., Watts, D., & Ren, H. (2012). Microgrid operation and design optimization with synthetic wins and solar resources. IEEE Latin America Transactions, 10(2), 1550–1562.
X. Zhang, R. Sharma, and Y. He, “Optimal energy management of a rural microgrid system using multi-objective optimization,” In 2012 IEEE PES innovative smart grid technologies (ISGT), 2012, pp. 1–8.
Mohamed, F. A., & Koivo, H. N. (2012). Multiobjective optimization using mesh adaptive direct search for power dispatch problem of microgrid. International Journal of Electrical Power & Energy Systems, 42(1), 728–735.
G. Celli, F. Pilo, G. Pisano, and G. G. Soma, “Optimal participation of a microgrid to the energy market with an intelligent EMS,” In 2005 International Power Engineering Conference, 2005, pp. 663–668.
Siano, P., Cecati, C., Yu, H., & Kolbusz, J. (2012). Real time operation of smart grids via FCN networks and optimal power flow. IEEE Trans Ind Inform, 8(4), 944–952.
A. G. Tsikalakis and N. D. Hatziargyriou, “Centralized control for optimizing microgrids operation,” In 2011 IEEE power and energy society general meeting, 2011, pp. 1–8.
Meng, L., Sanseverino, E. R., Luna, A., Dragicevic, T., Vasquez, J. C., & Guerrero, J. M. (2016). Microgrid supervisory controllers and energy management systems: A literature review. Renewable and Sustainable Energy Reviews, 60, 1263–1273.
Logenthiran, T., Srinivasan, D., Khambadkone, A. M., & Aung, H. N. (2012). Multiagent system for real-time operation of a microgrid in real-time digital simulator. IEEE Transactions on Smart Grid, 3(2), 925–933.
Colson, C. M., & Nehrir, M. H. (2013). Comprehensive real-time microgrid power management and control with distributed agents. IEEE Transactions on Smart Grid, 4(1), 617–627.
Liang, H., Choi, B. J., Abdrabou, A., Zhuang, W., & Shen, X. S. (2012). Decentralized economic dispatch in microgrids via heterogeneous wireless networks. IEEE Journal on Selected Areas in Communications, 30(6), 1061–1074.
Kanchev, H., Lu, D., Colas, F., Lazarov, V., & Francois, B. (2011). Energy management and operational planning of a microgrid with a PV-based active generator for smart grid applications. IEEE Transactions on Industrial Electronics, 58(10), 4583–4592.
Olivares, D. E., Lara, J. D., Cañizares, C. A., & Kazerani, M. (2015). Stochastic-predictive energy management system for isolated microgrids. IEEE Transactions on Smart Grid, 6(6), 2681–2693.
L. N. An and T. Quoc-Tuan, “Optimal energy management for grid connected microgrid by using dynamic programming method,” In 2015 IEEE Power & Energy Society General Meeting, 2015, pp. 1–5.
Shen, J., Jiang, C., Liu, Y., & Qian, J. (2016). A microgrid energy management system with demand response for providing grid peak shaving. Electric Power Components & Systems, 44(8), 843–852.
Anglani, N., Oriti, G., & Colombini, M. (2017). Optimized energy management system to reduce fuel consumption in remote military microgrids. IEEE Transactions on Industry Applications, 53(6), 5777–5785.
Zidan, A., & El-Saadany, E. F. (2013). Distribution system reconfiguration for energy loss reduction considering the variability of load and local renewable generation. Energy, 59, 698–707.
S. B. Ganesh, K. Schoder, H.-J. Lai, A. Al-Hinai, and A. Feliachi, “Energy management system with automatic reconfiguration for electric shipboard power systems,” In Proc. of ASNE Reconfiguration and Survivability Symposium, RSS 2005, 2005.
Paridari, K., O’Mahony, N., Mady, A. E.-D., Chabukswar, R., Boubekeur, M., & Sandberg, H. (2017). A framework for attack-resilient industrial control systems: Attack detection and controller reconfiguration. Proceedings of the IEEE, 106(1), 113–128.
M. Sadeghi, “Determination of ZIP parameters with least squares optimization method,” In 2009 IEEE Electrical Power & Energy Conference (EPEC), 2009, pp. 1–6.
H. Ahmadi, J. R. Martí, and A. Moshref, “Piecewise linear approximation of generators cost functions using max-affine functions,” In 2013 IEEE Power & Energy Society General Meeting, 2013, pp. 1–5.
M. A. G. De Brito, L. Galotto, L. P. Sampaio, G. de A. e Melo, and C. A. Canesin, “Evaluation of the main MPPT techniques for photovoltaic applications,” IEEE Transactions on Industrial Electronics, vol. 60, no. 3, pp. 1156–1167, 2012.
Sashirekha, A., Pasupuleti, J., Moin, N. H., & Tan, C. S. (2013). Combined heat and power (CHP) economic dispatch solved using Lagrangian relaxation with surrogate subgradient multiplier updates. International Journal of Electrical Power & Energy Systems, 44(1), 421–430.
Moradi, S., Ghaffarpour, R., Ranjbar, A. M., & Mozaffari, B. (2017). Optimal integrated sizing and planning of hubs with midsize/large CHP units considering reliability of supply. Energy Conversion and Management, 148, 974–992.
Zhang, Y., Wang, R., Zhang, T., Liu, Y., & Guo, B. (2016). Model predictive control-based operation management for a residential microgrid with considering forecast uncertainties and demand response strategies. IET Generation Transmission and Distribution, 10(10), 2367–2378.
Panwar, L. K., Konda, S. R., Verma, A., Panigrahi, B. K., & Kumar, R. (2017). Operation window constrained strategic energy management of microgrid with electric vehicle and distributed resources. IET Generation Transmission and Distribution, 11(3), 615–626.
Gan, L., Li, N., Topcu, U., & Low, S. H. (2015). Exact convex relaxation of optimal power flow in radial networks. IEEE Transactions on Automatic Control, 60(1), 72–87.
Šulc, P., Backhaus, S., & Chertkov, M. (2014). Optimal distributed control of reactive power via the alternating direction method of multipliers. IEEE Transactions on Energy Conversion, 29(4), 968–977.
Vergara, P. P., López, J. C., da Silva, L. C., & Rider, M. J. (2017). Security-constrained optimal energy management system for three-phase residential microgrids. Electric Power Systems Research, 146, 371–382.
S. M. Hashemi, V. Vahidinasab, M. S. Ghazizadeh, and J. Aghaei, “Reliability-oriented DG allocation in radial Microgrids equipped with smart consumer switching capability,” In 2019 International Conference on Smart Energy Systems and Technologies (SEST), 2019, pp. 1–6.
Lee, Y.-Y., & Baldick, R. (2013). A frequency-constrained stochastic economic dispatch model. IEEE Transactions on Power Apparatus and Systems, 28(3), 2301–2312.
A. Hoke and D. Maksimović, “Active power control of photovoltaic power systems,” In 2013 1st IEEE Conference on Technologies for Sustainability (SusTech), 2013, pp. 70–77.
A. S. Dobakhshari, S. Azizi, and A. M. Ranjbar, “Control of microgrids: Aspects and prospects,” In 2011 International Conference on Networking, Sensing and Control, 2011, pp. 38–43.
Rahmann, C., & Castillo, A. (2014). Fast frequency response capability of photovoltaic power plants: The necessity of new grid requirements and definitions. Energies, 7(10), 6306–6322.
P. Pourbeik, S. Soni, A. Gaikwad, and V. Chadliev, “Providing primary frequency response from photovoltaic power plants,” in Proc. CIGRE Symp., 2017, pp. 1–10.
Kerdphol, T., Rahman, F. S., Mitani, Y., Watanabe, M., & Kfeolu, S. (2018). Robust virtual inertia control of an islanded microgrid considering high penetration of renewable energy. IEEE Access, 6, 625–636.
Hashemi, S. M., Vahidinasab, V., Ghazizadeh, M. S., & Aghaei, J. (2018). Valuing consumer participation in security enhancement of microgrids. IET Gener Transm Distrib.
Shekari, T., Aminifar, F., & Sanaye-Pasand, M. (2016). An analytical adaptive load shedding scheme against severe combinational disturbances. IEEE Transactions on Power Apparatus and Systems, 31(5), 4135–4143.
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Hashemi, S.M., Vahidinasab, V. (2021). Energy Management Systems for Microgrids. In: Anvari-Moghaddam, A., Abdi, H., Mohammadi-Ivatloo, B., Hatziargyriou, N. (eds) Microgrids. Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-59750-4_3
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DOI: https://doi.org/10.1007/978-3-030-59750-4_3
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