Frequency Control of Micro Grid with wind Perturbations Using Levy walks with Spider Monkey Optimization Algorithm

Kayalvizhi Selvam, D.M. Vinod Kumar


Frequency and voltage controls are the two main challenges in the micro grid operation both in the grid connected and autonomous mode due to the presence of uncertain renewable sources. Since economic micro grid operation relies on fluctuating renewable sources such as wind and solar, the task of maintaining frequency within the limits for smooth operation of micro grid demands advanced controller action. Keeping this in mind, a panoptic exploration to search space has been accomplished using proposed eagle strategy for optimizing the gains of PI controller employed in controllable generating units in the islanded micro grid. The proposed eagle strategy which made the search process two fold i.e., coarse search by levy flights and an intensive local search by spider monkey algorithm. The proposed strategy has been tested on typical micro grid test system and also on real world Bella Coola micro grid in British Columbia, Canada. Frequency model of systems were developed in SIMULINK/MATLAB and the simulation results for different scenarios confirms that the proposed strategy performs better and the results are compared with few prominent algorithms to ascertain its superiority in finding better gains of PI controllers.

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Frequency control; eagle strategy; micro grid; wind components

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Hatziargyriou N, Asano H, Iravani R and Marnay C , “ Micro grids”, IEEE Power Energy Mag., Vol.5, No. 4, pp. 78–94, 2007.

Katiraei F, Iravani M.R. and Lehn P.W., “Micro-grid autonomous operation during and subsequent to islanding process”, IEEE Trans. Power Del., Vol.20, No.1, pp. 248-257. 2005.

Daniel E. Olivares, Ali Mehrizi-Sani and Amir H. Etemadi et. al, “Trends in Micro grid Control”, IEEE Transactions on smart grid,Vol. 5, No. 4, pp.1905-1919, 2014.

Majumder R, Ghosh A ,Gerard Ledwich and firuz Zare, “Load frequency control for rural Distributed Generation”, Electric Power Components and Systems, Vol.38, No.6, pp. 637-656, 2010.

Latha R, Palanivel R and Kanagaraj J, “Frequency control of microgrid based on compressed air energy storage system”, Distributed Generation and Alternative energy journal, Vol.27, No.4, pp. 8-19, 2012.

Serban I and Marinescu C, “Control strategy of three-phase battery storage system for frequency support in micro grids and with uninterruptible supply of local loads”, IEEE Trans. on Power Electronics, Vol.29, No.9, pp.5010-5020, 2014.

Dunghuan Zhu, Gabriela Hug-Glanzmann, “Coordination of storage and generation in power system frequency control using H∞ approach”, IET Gener. Transm. Distrib., Vol.7, No.11, pp.1263-1271, 2013.

Amir H. Hajimiragha, Mohammad R. Dadash Zadeh and Somayeh Moazeni, “Microgrids frequency control considerations within the framework of the optimal generation scheduling problem”, IEEE Transaction on Smart Grid, Vol.6, No.2, pp. 533-547, 2015.

Dong-Jing Lee and Li Wang, “Small-signal stability analysis of an autonomous hybrid renewable energy power generation/energy storage system part I: Time domain simulations”, IEEE Trans. on energy conversion, Vol.23, No.1, pp.311-320, 2008.

Mohammad Javad Sanjari, Gevork B. Gharehpatian, “Unified framework for frequency and voltage control of autonomous micro grids”, IET Gener. Transm. Distrib., Vol.7, No.9, pp. 965-972, 2013.

Dipayan guha, Provas Kumar and Subrata Banerjee: “Load frequency control of interconnected power system using grey wolf optimization”, Swarm and Evolutionary Computation, Vol.27, pp. 97-115, 2016.

Sahu R.K, Panda S and Padhan S, “A novel hybrid gravitational search and pattern search algorithm for load frequency control of nonlinear power system”, Appl. Soft Comp. Vol.29, pp.310-327, 2015.

Ali E.S and Abd-Elazim S.M, “BFOA based design of PID-controller for two area load frequency control with nonlinearities” , Int. J. Electric Power Energy Syst., Vol.51, pp.224-231, 2013.

Barisal A.K , “Comparative performance analysis of teaching learning based optimization for automatic load frequency control of multi-sources power systems”, Int. J. Electric Power Energy Syst., Vol. 66, pp.67-77, 2015.

Behera, Sasmita, Bidyadhar Subudhi, and Bibhuti Bhusan 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.

Tomonobu Senju, Toshiaki Nakaji, Katsumi Uezato and Toshihisa Funabashi, “A Hybrid power system using alternative energy facilities in isolated island”, IEEE Trans. Energy conversion. Vol.20, No.2, pp.406-414, 2012.

H.Bevrani, F. Habibi and P.Babahajyani et al. “Intelligent Frequency control in an AC micro grid: Online PSO-based fuzzy tuning approach”, IEEE Transactions on Smart Grid, Vol.3, No.4, pp.1935-1944, 2012.

S. Mishra, G.Mallesham and A.N. Jha, “Design of controller and communication for frequency regulation of a smart grid”, IET Renewable Power Generation, Vol.6, No.4, pp.248-258, , 2012.

Yang X.S. and Deb S, “Eagle strategy using Levy walk and firefly algorithms for stochastic optimization, in: Nature Inspired Cooperative Strategies for Optimization”, Springer, Vol.284, pp. 101-111, 2010.

Xin she Yang, “Nature inspired meta heuristic algorithms”, Luniver Press, United Kingdom, second edition, 2010.

Jagadish Chand Bansal, Harish Sharma, Shimpi Singh Jadon et al. “Spider monkey optimization algorithm for numerical optimization”, Memetic Computing, Vol.6, No.1, pp. 31-47, 2014.


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