New algorithm for energy dispatch scheduling of grid-connected solar photovoltaic system with battery storage system
DOI:
https://doi.org/10.20998/2074-272X.2021.1.05Keywords:
PV generator and maximum power point tracker (MPPT), inverter, battery storage, management and control strategies, injection of energyAbstract
Purpose. In last decade the problem of energy management system (EMS) for electric network has received special attention from academic researchers and electricity companies. In this paper, a new algorithm for EMS of a photovoltaic (PV) grid connected system, combined to an storage system is proposed for reducing the character of intermittence of PVs power which infect the stability of electric grid. In simulation model, the PV system and the energy storage system are connected to the same DC bus, whereas EMS controls the power flow from the PV generator to the grid based on the predetermined level of PV power. In the case where the PV power is less than the predefined threshold, energy is stored in the batteries banc which will be employed in the peak energy demand (PED) times. Otherwise, it continues to feed the principal grid. The novelty of the proposed work lies in a new algorithm (smart algorithm) able to determine the most suitable (optimal) hours to switching between battery, Solar PVs, and principal grid based on historical consumption data and also determine the optimal amount of storage energy that be injected during the peak demand. Methods. The solution of the problem was implemented in the Matlab R2010a Platform and the simulation conducted on Laptop with a 2.5 GHz processor and 4 GB RAM. Results. Simulation results show that the proposed model schedules the time ON/OFF of the switch in the most optimal way, resulting in absolute control of power electric path, i.e. precise adaptation at the peak without compromising consumers comfort. In addition, other useful results can be directly obtained from the developed scheme. Thus, the results confirm the superiority of the proposed strategy compared to other improved techniques.
References
Polzin F., Egli F., Steffen B., Schmidt T.S. How do policies mobilize private finance for renewable energy? – A systematic review with an investor perspective. Applied Energy, 2019, vol. 236, pp. 1249-1268. doi: https://doi.org/10.1016/j.apenergy.2018.11.098.
Ivanova D., Barrett J., Wiedenhofer D., Macura B., Callaghan M., Creutzig F. Quantifying the potential for climate change mitigation of consumption options. Environmental Research Letters, 2020, vol. 15, no. 9, p. 093001. doi: https://doi.org/10.1088/1748-9326/ab8589.
Kenneth A.P., Folly K. Voltage rise issue with high penetration of grid connected PV. Conference Paper of 19th World Congress, International Federation of Automatic Control (IFAC, 2014), Cape Town, South Africa. August 24-29, 2014, vol. 19, no. 3. doi: 10.13140/2.1.2274.2406.
Ascencio-Vásquez J., Brecl K., Topič M. Methodology of Köppen-Geiger-Photovoltaic climate classification and implications to worldwide mapping of PV system performance. Solar Energy, 2019, vol. 191, pp. 672-685. doi: https://doi.org/10.1016/j.solener.2019.08.072.
Sampath Kumar D., Gandhi O., Rodríguez-Gallegos C.D., Srinivasan D. Review of power system impacts at high PV penetration Part II: Potential solutions and the way forward. Solar Energy, 2020, vol. 210, pp. 202-221. doi: https://doi.org/10.1016/j.solener.2020.08.047.
Gielen D., Boshell F., Saygin D., Bazilian M.D., Wagner N., Gorini R. The role of renewable energy in the global energy transformation. Energy Strategy Reviews, 2019, vol. 24, pp. 38-50. doi: https://doi.org/10.1016/j.esr.2019.01.006.
Benabdallah I., Oun A., Cherif A. Grid Connected PV Plant based on Smart Grid Control and Monitoring. International Journal of Advanced Computer Science and Applications, 2017, vol. 8, no. 6, pp. 299-306. doi: https://doi.org/10.14569/ijacsa.2017.080639.
Guidara I., Souissi A., Chaabene M. Novel configuration and optimum energy flow management of a grid-connected photovoltaic battery installation. Computers & Electrical Engineering, 2020, vol. 85, p. 106677. doi: https://doi.org/10.1016/j.compeleceng.2020.106677.
Ariyaratna P., Muttaqi K.M., Sutanto D. A novel control strategy to mitigate slow and fast fluctuations of the voltage profile at common coupling Point of rooftop solar PV unit with an integrated hybrid energy storage system. Journal of Energy Storage, 2018, vol. 20, pp. 409-417. doi: https://doi.org/10.1016/j.est.2018.10.016.
Bagalini V., Zhao B.Y., Wang R.Z., Desideri U. Solar PV-Battery-Electric Grid-Based Energy System for Residential Applications: System Configuration and Viability. Research, 2019, vol. 2019, pp. 1-17. doi: https://doi.org/10.34133/2019/3838603.
Ru Y., Kleissl J., Martinez S. Exact sizing of battery capacity for photovoltaic systems. European Journal of Control, 2014, vol. 20, no. 1, pp. 24-37. doi: https://doi.org/10.1016/j.ejcon.2013.08.002.
Vinod, Kumar R., Singh S.K. Solar photovoltaic modeling and simulation: As a renewable energy solution. Energy Reports, 2018, vol. 4, pp. 701-712. doi: https://doi.org/10.1016/j.egyr.2018.09.008.
Slama F., Chouder A., Radjeai H. Simulation of Photovoltaic generator Connected To a Grid. Mediterranean Journal of Modeling and Simulation, 2014, no. 1, pp. 25-33. Available at: https://hal.archives-ouvertes.fr/hal-01293445/document (accessed on 22 June 2020).
Medjroubi W., Müller U.P., Scharf M., Matke C., Kleinhans D. Open Data in Power Grid Modelling: New Approaches Towards Transparent Grid Models. Energy Reports, 2017, vol. 3, pp. 14-21. doi: https://doi.org/10.1016/j.egyr.2016.12.001.
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