Plug in electric vehicle based multi-area renewable energy system for Automatic Generation Control

Subhranshu Sekhar Pati, Aurobindo Behera, Tapas Kumar Panigrahi

Abstract


The work presented proposes a combination of a quick and reliable controller for the 2-area thermal system with the plug-in electric vehicle. For controlling and normalizing the system output, controlling the rotational frequency of the generator is an effective technique. A multi-constrained function is effective but the new objective function formulated is further effective and has been used in the optimization process with Intelligent Water Drops (IWD) algorithm for tuning the controllers. The performance with nPID controller in the proposed system has been compared to structures such as PID and PI for validation of the effectiveness with step and dynamic load variation. Statistical analysis such as Analysis-of-variance (ANOVA) is also performed. The work is extended by integrating wind turbines and tested with a variation of 10% in step loading and ±5% in dynamic loading of 120/80 seconds for either area. A significant improvement in response time is witnessed.


Keywords


Automatic Generation Control (AGC); Analysis of Variance (ANOVA); Intelligent Water Drops (IWD) algorithm; Plug in Electric Vehicle (PEV); Renewable Energy.

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References


J Wood, B. F. Woolenberg, Power Generation Operation and Control. 3rd ed., John Wiley and Sons, 2013.

Elgerd O I.: Electric energy systems theory an introduction, McGraw-Hill Book Company, New York, NY, 2000.

Elgerd OI, Fosha C., “Optimum megawatt frequency control of multi-area electric energy systems. Power Appl Syst†(PAS-89), vol. 4, pp. 556-563, 1970.

Panda G, Panda S and Ardil C, “Automatic Generation Control of Multi-Area Electric Energy Systems Using Modified GAâ€, World Academy of Science, Engineering & Technology, vol. 7, pp. 576 – 584, 2013.

S. Behera, B. Subudhi, and B. B. Pati, "Design of PI controller in pitch control of wind turbine: A comparison of PSO and PS algorithm." International Journal of Renewable Energy Research (IJRER), Vol. 6, No. 1, pp. 271-281, 2016.

Fadaei A, Salahshoor K, “A Novel Real-time Fuzzy Adaptive Auto-Tuning Scheme for Cascade PID Controllersâ€. International Journal of Control, Automation, and Systems, vol. 9, pp.823-833, 2011.

Barisal AK, Panigrahi TK, Mishra S, “A Hybrid PSO-LEVY Flight Algorithm Based Fuzzy PID Controller for Automatic Generation Control of Multi Area Power Systems: Fuzzy Based Hybrid PSO for Automatic Generation Controlâ€, International Journal of Energy Optimization & Engineering, vol. 6, pp. 42-63,2017.

Dash PK, Padhee M, Panigrahi TK, “A hybrid time-frequency approach based fuzzy logic system for power island detection in grid connected distributed generation. Internationalâ€, Journal of Electrical Power & Energy Systems; vol. 42, pp. 453-464, 2012.

Pati, S., S., Mishra, S., K.: A PSO based modified multistage controller for automatic generation control with integrating renewable sources and FACT devices. International Journal of Renewable Energy Research (IJRER), vol. 9, no. 2, pp. 673-683, 2019.

Bevrani H., Robust power system frequency control, Springer, 2009.

Moon U, Lee KY, “step-Response Model Development for Dynamic Matrix Control of Drum-Type Boiler-Turbine Systemâ€, IEEE Transactions On Energy Conversion, vol. 24, pp. 423-430. 2009.

Sahu RK, Panda S, Chandra Sekhar GT, “A novel hybrid PSO-PS optimized fuzzy PI controller for AGC in multi area interconnected power systemsâ€., Electrical Power and Energy Systems, vol.64, pp. 880-893, 2015.

Behera, A., Panigrahi, T.K., Sahoo, A.K. and Ray, P.K, Hybrid ITLBO-DE Optimized Fuzzy PI Controller for Multi-area Automatic Generation Control with Generation Rate Constraint. In Smart Computing and Informatics 2017, Springer pp. 713-722, Singapore (2018).

Shah-Hosseini H., “Intelligent water drops algorithm: a new optimization method for solving the multiple knapsack problemâ€, Int. Journal of Intelligent Computing and Cybernetics, vol.1(2), 193âÅ“212 (2008).

Izadkhast S., Garcia-Gonzalez P., FrÃas P., Bauer P, “Design of Plug-In Electric Vehicles Frequency-Droop Controller for Primary Frequency Control and Performance Assessmentâ€, IEEE Trans Power Syst, vol. 32(6), pp. 4241-4254, 2017.

Singh SP, Prakash T, Singh VP, Babu MG, “Analytic hierarchy process based automatic generation control of multi-area interconnected power system using Jaya algorithmâ€, International Journal of Engineering Applications of Artificial Intelligence, vol. 60, pp. 35-44, 2017.

Yesilbudak, Mehmet, Medine Colak, and Ramazan Bayindir. "What are the Current Status and Future Prospects in Solar Irradiance and Solar Power Forecasting?." International Journal of Renewable Energy Research (IJRER), vol. 8, no. 1, pp. 635-648, 2018.

Das, Somnath, and Ashok Kumar Akella, "Power flow control of PV-wind-battery hybrid renewable energy systems for stand-alone application." International Journal of Renewable Energy Research (IJRER), vol. 8, no. 1, pp. 36-43, 2018.

Anderson PM., Bose A, “Stability simulation of wind turbine systemsâ€, IEEE Trans Power Apparatus Syst, vol. 102(12), pp. 3791-3795, 1983.

Padhy, S., & Panda, S, “A hybrid stochastic fractal search and pattern search technique based cascade PI-PD controller for automatic generation control of multi-source power systems in presence of plug in electric vehiclesâ€, CAAI Transactions on Intelligence Technology, vol.2, no.1, pp. 12-25, 2017.




DOI (PDF): https://doi.org/10.20508/ijrer.v10i1.10217.g7837

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