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Optimal day-ahead scheduling of autonomous operation for the hybrid micro-grid including PV, WT, diesel generator, and pump as turbine system

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Abstract

A diesel generator can be used in joint with sustainable energy sources such as wind turbine, photovoltaic which develop an ideal option for autonomous power generation in islanded mode. However, the stochastic inherent of irradiation and wind speed as well as the variable load demand prevent these generation systems from being totally reliable without suitable energy storage system. However, considering other research works show a pump as turbine system is used more less as energy storage in the agricultural industry and isolated rural micro-grid. Also, practical constraints of pump as turbine system may be challenging not considered in the later papers. Hence, this paper intends to present an optimal operation and energy management method for a hybrid micro-grid, including photovoltaic, wind turbine, pump as turbine system, and diesel generator, with study on day-ahead scheduling. The optimal energy management minimize the fuel cost of diesel generator, daily operating cost as well as the balance between generation and load for both warm and cold days. In this paper, imperialist competitive algorithm, which is not commonly used in the applications above, is used because of its high convergence rate and accuracy. To verify proposed method, results are compared to artificial bee colony and particle swarm optimization to determine the optimal diesel generator generation, pumped storage operating mode, pumping and turbine real power. The simulation results show the effectiveness and improvement of the TSA compared to other works.

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References

  • Abbassi A, Abbassi R, Dami MA, Jemli M (2018) Multi-objective genetic algorithm based sizing optimization of a stand-alone wind/PV power supply system with enhanced battery/supercapacitor hybrid energy storage. Energy 163:351–363

    Article  Google Scholar 

  • Abdelkafi A, Masmoudi A, Krichen L (2018) Assisted power management of a stand-alone renewable multi-source system. Energy 145:195–205

    Article  Google Scholar 

  • Abualigah LMQ (2019) Feature selection and enhanced krill herd algorithm for text document clustering. Springer, Berlin

    Book  Google Scholar 

  • Abualigah LMQ, Hanandeh ES (2015) Applying genetic algorithms to information retrieval using vector space model. Int J Comput Sci Eng Appl 5(1):19

    Google Scholar 

  • Abualigah LM, Khader AT (2017) Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering. J Supercomput 73(11):4773–4795

    Article  Google Scholar 

  • Abualigah LM, Khader AT, Hanandeh ES (2018a) A combination of objective functions and hybrid Krill herd algorithm for text document clustering analysis. Eng Appl Artif Intell 73:111–125

    Article  Google Scholar 

  • Abualigah LM, Khader AT, Hanandeh ES (2018b) A new feature selection method to improve the document clustering using particle swarm optimization algorithm. J Comput Sci 25:456–466

    Article  Google Scholar 

  • Abualigah LM, Khader AT, Hanandeh ES (2018c) Hybrid clustering analysis using improved krill herd algorithm. Appl Intell 48(11):4047–4071

    Article  Google Scholar 

  • Alizadeh Bidgoli M, Bathaee SMT (2015) Full-state variables control of a grid-connected pumped storage power plant using non-linear controllers. Electr Power Compon Syst 43(3):260–270. https://doi.org/10.1080/15325008.2014.980923

    Article  Google Scholar 

  • Alizadeh Bidgoli M, Bathaee SMT, Shabani A (2014) Design a nonlinear auxiliary input for DFIG-based application using Lyapunov theory. In: The 5th annual international power electronics, drive systems and technologies conference (PEDSTC 2014), pp 102–107

  • Alizadeh Bidgoli M, Mohammadpour HA, Bathaee SMT (2015) Advanced vector control design for DFIM-based hydropower storage for fault ride-through enhancement. IEEE Trans Energy Convers 30(4):1449–1459

    Article  Google Scholar 

  • Askarzadeh A (2016) Electrical power generation by an optimised autonomous PV/wind/tidal/battery system. IET Renew Power Gener 11(1):152–164

    Article  Google Scholar 

  • Atashpaz-Gargari E, Lucas C (2007) Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition. In: 2007 IEEE Congress on evolutionary computation, pp 4661–4667

  • Bagheri A, Alizadeh Bidgoli M (2019) Designing a passive filter for reducing harmonic distortion in the hybrid micro-grid including wind turbine, solar cell and nonlinear load. Prz Elektrotechniczny 95(12):9–12

    Google Scholar 

  • Barzegari M, Bathaee SMT, Alizadeh M (2010) Optimal coordination of directional overcurrent relays using harmony search algorithm. In: 2010 9th Conference on environment and electrical engineering, EEEIC 2010. https://doi.org/10.1109/EEEIC.2010.5489935

  • Basaran K, Cetin NS, Borekci S (2016) Energy management for on-grid and off-grid wind/PV and battery hybrid systems. IET Renew Power Gener 11(5):642–649

    Article  Google Scholar 

  • Bidgoli MA, Bagheri A, Barzegari M, Ouni S (2019) Optimal energy management of isolated micro-grid including solar and diesel power with pumped storage. In: 2019 Smart grid conference (SGC), pp 1–6

  • Capelo B, Pérez-Sánchez M, Fernandes JFP, Ramos HM, López-Jiménez PA, Branco PJC (2017) Electrical behaviour of the pump working as turbine in off grid operation. Appl Energy 208:302–311

    Article  Google Scholar 

  • Ceran B (2019) The concept of use of PV/WT/FC hybrid power generation system for smoothing the energy profile of the consumer. Energy 167:853–865

    Article  Google Scholar 

  • Di Fazio AR, Erseghe T, Ghiani E, Murroni M, Siano P, Silvestro F (2013) Integration of renewable energy sources, energy storage systems, and electrical vehicles with smart power distribution networks. J Ambient Intell Human Comput 4(6):663–671

    Article  Google Scholar 

  • Ghorbani N, Kasaeian A, Toopshekan A, Bahrami L, Maghami A (2018) Optimizing a hybrid wind-PV-battery system using GA-PSO and MOPSO for reducing cost and increasing reliability. Energy 154:581–591

    Article  Google Scholar 

  • Golshani A, Bidgoli MA, Bathaee SMT (2013) Design of optimized sliding mode control to improve the dynamic behavior of PMSG wind turbine with NPC back-to-back converter. Int Rev Electr Eng 8:1170–1180

    Google Scholar 

  • Hadidi A, Hadidi M, Nazari A (2013) A new design approach for shell-and-tube heat exchangers using imperialist competitive algorithm (ICA) from economic point of view. Energy Convers Manag 67:66–74

    Article  Google Scholar 

  • Hossain M, Mekhilef S, Olatomiwa L (2017) Performance evaluation of a stand-alone PV-wind-diesel-battery hybrid system feasible for a large resort center in South China Sea, Malaysia. Sustain Cities Soc 28:358–366

    Article  Google Scholar 

  • Karaboga D (2005) An idea based on honey bee swarm for numerical optimization, vol 200. Technical Report-tr06, Erciyes University, Engineering Faculty, Computer Engineering Department

  • Karaboga D, Basturk B (2007) Artificial bee colony (ABC) optimization algorithm for solving constrained optimization problems. In: International fuzzy systems association world congress. Springer, Berlin, Heidelberg, pp 789–798

  • Karaboga D, Basturk B (2008) On the performance of artificial bee colony (ABC) algorithm. Appl Soft Comput 8(1):687–697

    Article  Google Scholar 

  • Kennedy J, Eberhart R (1995) Particle swarm optimization. Proc IEEE Int Conf Neural Netw 4(2):1942–1948

    Article  Google Scholar 

  • Khan ZA, Zafar A, Javaid S, Aslam S, Rahim MH, Javaid N (2019) Hybrid meta-heuristic optimization based home energy management system in smart grid. J Ambient Intell Human Comput 10(12):4837–4853

    Article  Google Scholar 

  • Kuchibhatla SM, Padmavathi D, Rao RS (2019) Adaptive technique for PQ analysis in renewable sources with grid integrated SSFC. J Ambient Intell Human Comput. https://doi.org/10.1007/s12652-019-01283-5

    Article  Google Scholar 

  • Kusakana K (2015) Optimal scheduled power flow for distributed photovoltaic/wind/diesel generators with battery storage system. IET Renew Power Gener 9(8):916–924

    Article  Google Scholar 

  • Kusakana K (2016) Optimal scheduling for distributed hybrid system with pumped hydro storage. Energy Convers Manag 111:253–260

    Article  Google Scholar 

  • Kusakana K (2018) Optimal operation scheduling of grid-connected PV with ground pumped hydro storage system for cost reduction in small farming activities. J Energy Storage 16:133–138

    Article  Google Scholar 

  • Liu Z, Zhang Z, Zhuo R, Wang X (2019) Optimal operation of independent regional power grid with multiple wind-solar-hydro-battery power. Appl Energy 235:1541–1550

    Article  Google Scholar 

  • Mandelli S, Barbieri J, Mereu R, Colombo E (2016) Off-grid systems for rural electrification in developing countries: definitions, classification and a comprehensive literature review. Renew Sustain Energy Rev 58:1621–1646

    Article  Google Scholar 

  • Mirzapour F, Lakzaei M, Varamini G, Teimourian M, Ghadimi N (2019) A new prediction model of battery and wind-solar output in hybrid power system. J Ambient Intell Human Comput 10(1):77–87

    Article  Google Scholar 

  • Morshed MJ, Asgharpour A (2014) Hybrid imperialist competitive-sequential quadratic programming (HIC-SQP) algorithm for solving economic load dispatch with incorporating stochastic wind power: a comparative study on heuristic optimization techniques. Energy Convers Manag 84:30–40

    Article  Google Scholar 

  • Pamsari HK, Bidgoli MA, Rajabzadeh M, Bathaee SMT, Ozgoli S (2011) Application of a new multivariable sliding mode controller for the single machine infinite bus systems. In: 2011 2nd Power electronics, drive systems and technologies conference, pp 211–216

  • Reddy SS (2017) Optimal scheduling of thermal-wind-solar power system with storage. Renew Energy 101:1357–1368

    Article  Google Scholar 

  • Shabani A, Bidgoli MA, Deihimi A (2014) Comparison of DDPMSG and DFIG concepts for wind turbines. In: 5th annual international power electronics drive systems and technologies conference (PEDSTC 2014), pp 512–517

  • Sharma TK, Abraham A (2020) Artificial bee colony with enhanced food locations for solving mechanical engineering design problems. J Ambient Intell Human Comput 11(1):267–290

    Article  Google Scholar 

  • Suhane P, Rangnekar S, Mittal A, Khare A (2016) Sizing and performance analysis of standalone wind-photovoltaic based hybrid energy system using ant colony optimisation. IET Renew Power Gener 10(7):964–972

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Department of Electrical Engineering, Yadegar-e-Imam Khomeini (RAH) Shahre Rey Branch, Islamic Azad University, Tehran, Iran

    Mohsen Alizadeh Bidgoli & Ali Reza Payravi

  2. Department of Electrical Engineering, University of Bonab, Bonab, Iran

    A. Ahmadian

  3. State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072, China

    Weijia Yang

Authors
  1. Mohsen Alizadeh Bidgoli
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  2. Ali Reza Payravi
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  3. A. Ahmadian
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  4. Weijia Yang
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Correspondence to Mohsen Alizadeh Bidgoli.

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Alizadeh Bidgoli, M., Payravi, A.R., Ahmadian, A. et al. Optimal day-ahead scheduling of autonomous operation for the hybrid micro-grid including PV, WT, diesel generator, and pump as turbine system. J Ambient Intell Human Comput 12, 961–977 (2021). https://doi.org/10.1007/s12652-020-02114-8

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  • DOI: https://doi.org/10.1007/s12652-020-02114-8

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