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Energy Bill Reduction by Optimizing Both Active and Reactive Power in an Electrical Microgrid


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DOI: https://doi.org/10.15866/iree.v15i6.17909

Abstract


The aim of this paper is to develop tools for the Optimal Power Flow Management Control (OPFMC) in a microgrid (MG). It consists of a photovoltaic system, an energy storage system, a gas turbine, and a main grid (energy exchange). Unlike the conventional approaches, which are limited to the distribution of the active power, this paper relies on an electrical modeling system in order to coordinate and to optimize both the active and the reactive power flow using discrete controls. The proposed optimal power management strategy has two objectives: (i) it aims at forecasting, over a time horizon of 24-hours, the optimal distribution of the active and the reactive power required for each power source connected to the microgrid. The proposed management incorporates the consumption forecasts, the weather, and the tariffs; (ii) it aims at reducing the solicitation of the main grid while taking into consideration the requested reactive power. This is done by using dynamic programming based on Bellman algorithm. Such management has been tested by simulation in a Matlab/Simulink environment and its performance has been compared to the conventional management strategy.
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Keywords


Microgrid; Bellman Algorithm; Distributed Generation; Dynamic Programming; Optimal Power Flow

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References


I. Worighi, A. Maach, A. Hafid, O. Hegazy, & J. Van Mierlo, Integrating renewable energy in smart grid system: Architecture, virtualization and analysis, Sustainable Energy, Grids and Networks, vol. 18, June 2019.
https://doi.org/10.1016/j.segan.2019.100226

Al Hasibi, R., Hadi, S., Sarjiya, S., Integrated and Simultaneous Model of Power Expansion Planning with Distributed Generation, (2018) International Review of Electrical Engineering (IREE), 13 (2), pp. 116-127.
https://doi.org/10.15866/iree.v13i2.14748

R. Rigo-Mariani, B. Sareni, X. Roboam and C. Turpin, Optimal power dispatching in smart microgrids with storage, Renewable and sustainable energy review, vol 40, 2014, pp. 649– 658.
https://doi.org/10.1016/j.rser.2014.07.138

Mmary, E., Marungsri, B., Multiobjective Optimization of Renewable Distributed Generations in Radial Distribution Networks with Optimal Power Factor, (2018) International Review of Electrical Engineering (IREE), 13 (4), pp. 297-304.
https://doi.org/10.15866/iree.v13i4.15069

M. Mohammadali, B. Farhad, A. Ali, Robust, Output feedback model predictive control: a stochastic approach, Asian Journal of Control, vol. 20, n. 1, January 2018, pp. 1–12.

Y. Zhang, and Q-S. Jia, Operational Optimization for Micro grid of Buildings with Distributed Solar Power and Battery, Asian Journal of Control, vol. 19, n. 3, 2017, pp. 996–1008.
https://doi.org/10.1002/asjc.1424

A. Ahmidi, X. Guillaud, Y. Besanger, R. Blanc, A multi-level approach for optimal participating of wind farms at reactive power balancing in transmission power system, IEEE Systems Journal, vol. 6, n. 2, June 2012.
https://doi.org/10.1109/jsyst.2011.2163003

A. Guichi, A. Talha., M. Berkouk, S. Mekhilef, Energy management and performance evaluation of grid connected PV-battery hybrid system with inherent control scheme, Sustainable Cities and Society, vol. 41, 2018, pp.490–504.
https://doi.org/10.1016/j.scs.2018.05.026

Subiyanto, S., Prakasa, M., Wicaksono, P., Hapsari, M., Intelligence Technique Based Design and Assessment of Photovoltaic-Battery-Diesel for Distributed Generation System in Campus Area, (2020) International Review on Modelling and Simulations (IREMOS), 13 (1), pp. 63-73.
https://doi.org/10.15866/iremos.v13i1.18147

A. Samimi, A. Kazemi, P. Siano, Economic-environmental active and reactive power scheduling of modern distribution systems in presence of wind generations: A distribution market-based approach, Energy Conversion and Management, vol. 106, 2015, pp. 495–509.
https://doi.org/10.1016/j.enconman.2015.09.070

G. Graditi, ML. Di Silvestre, R. Gallea, E. R. Sanseverino. Heuristic-based shiftable loads optimal management in smart micro-grids. IEEE Transactions on Industrial Informatics, vol.11, n. 1, 2015, pp. 271–80.
https://doi.org/10.1109/tii.2014.2331000

HR. Howlader, H. Matayoshi, T. Senjyu, Distributed generation incorporated with the thermal generation for optimum operation of a smart grid considering forecast error, Energy Conversion and Management, vol. 96, 2015, pp. 303–314.
https://doi.org/10.1016/j.enconman.2015.02.087

M.H. Moradi, M. Eskandari, H. Showkati, A hybrid method for simultaneous optimization of DG capacity and operational strategy in microgrids utilizing renewable energy resources, International Journal of Electrical Power & Energy Systems, vol. 56, 2014, pp. 241 –258.
https://doi.org/10.1016/j.ijepes.2013.11.012

R. Bellman, A Markovian Decision Process, Indiana University. Math. Journal, vol. 6, n. 4, 1957, pp. 679–684.
https://doi.org/10.1512/iumj.1957.6.56038

C. Darras, S. Sailler, C. Thibault, M. Muselli, P. Poggi, J.C Hoguet, S. Melsco, E. Pinton, S. Grehant, F. Gailly, C. Turpin, S. Astier and G. Fontès, Sizing of photovoltaic system coupled with hydrogen/oxygen storage based on the orient model‖, International Journal of Hydrogen Energy, vol. 35, n. 8, 2010, pp. 3322-3332.
https://doi.org/10.1016/j.ijhydene.2010.01.060

Lakhdari, F., Input Control of Photovoltaic Fed DC-DC Converter Based on a Dual Modeling Approach, (2020) International Review of Electrical Engineering (IREE), 15 (1), pp. 9-20.
https://doi.org/10.15866/iree.v15i1.17482

Hwu, K., Yau, Y., Applying Improved Boost Converter and Simple Tracking Concept to Achieving MPPT under Shading Conditions, (2017) International Review of Electrical Engineering (IREE), 12 (3), pp. 195-203.
https://doi.org/10.15866/iree.v12i3.11695

H. Beltran, M. Swierczynski, N. Aparicio, E. Belenguer, R. Teodorescu, P. Rodriguez. Lithium ion batteries ageing analysis when used in a PV power plant. In: International symposium industrials electronics (ISIE), pp 1604–1609, 2012.
https://doi.org/10.1109/isie.2012.6237330

Wibowo, R., Ramdani, A., Taradini, A., Riawan, D., Soeprijanto, A., Penangsang, O., Dynamic Optimal Power Flow Incorporating Gas Turbine Generator Unit with Compressed Natural Gas Systems, (2019) International Review of Electrical Engineering (IREE), 14 (6), pp. 438-446.
https://doi.org/10.15866/iree.v14i6.16461

H. Kanchev, F. Colas, V. Lazarov, B. Francois, Emission reduction and economical optimization of an urban microgrid operation including dispatched PV-based active generators. IEEE Transactions on Sustainable Energy, vol. 5, n. 4, 2014, pp. 1397–1405.
https://doi.org/10.1109/tste.2014.2331712

M.J. Rider and V.L. Paucar., Application of a nonlinear reactive power pricing model for competitive electric markets IEE Proceedings - Generation, Transmission and Distribution, vol. 151, n. 3, May 2004, pp.407-414
https://doi.org/10.1049/ip-gtd:20040385


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