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An Energy Management System (EMS) is indispensable to monitor the power flow and load matching inside a microgrid during grid-connected mode (GCM) and islanded modes (IM) of operation. Many conventional optimization algorithms show poor reliability for real time optimization problem solving where an objective function is non-linear. An optimization technique is necessary to reduce the cost of energy obtained from the grid, generated inside the grid, and consumed by the load. This article presents, an optimization scheme based on the improved Grey wolf optimization (GWO) algorithm that considers replacement of wounded/injured wolves of one pack by strong wolves of other pack for an EMS in micro-grid. The GWO optimization algorithm's effectiveness is demonstrated forGCM and IM operation. The proposed GWO shows fast, lost cost and precise optimization of the real time EMS for the grid connected and islanded micro-grid system.
N. I. Nwulu and X. Xia, “Optimal dispatch for a microgrid incorporating renewables and demand response,” Renew. Energy, vol. 101, pp. 16–28, 2017. Electron. Comput. Sci., 2016.
P. Basak, S. Chowdhury, S. Halder Nee Dey, and S. P. Chowdhury, “A literature review on integration of distributed energy resources in the perspective of control, protection and stability of microgrid,” Renew. Sustain. Energy Rev., vol. 16, no. 8, pp. 5545–5556, 2012.
S. Ezhilarasan, P. Palanivel, and S. Sambath, “Design and development of Energy Management System for DG source allocation in a micro grid with energy storage system,” Indian J. Sci. Technol., vol. 8, no. 13, pp. 1–9, 2015.
Y. S. Bhavsar, P. V. Joshi, and S. M. Akolkar, “Simulation of Microgrid with energy management system,” Int. Conf. Energy Syst. Appl. ICESA 2015, no. Icesa, pp. 592–596, 2016.
S. Monesha, S. G. Kumar, and M. Rivera, “Microgrid energy management and control: Technical review,” 2016 IEEE Int. Conf. Autom., pp. 1–7,
Zwe-Lee Gaing, “Particle swarm optimization to solving the economic dispatch considering the generator constraints,” in IEEE Transactions on Power Systems, vol. 18, no. 3, pp. 1187-1195, Aug. 2003.
M. Elsied, A. Oukaour, H. Gualous, R. Hassan, and A. Amin, “An advanced energy management of microgrid system based on genetic algorithm,” IEEE Int. Symp. Ind. Electron., pp. 2541–2547, 2014.
N. Augustine, S. Suresh, P. Moghe, and K. Sheikh, “Economic dispatch for a microgrid considering renewable energy cost functions,” 2012 IEEE PES Innov. Smart Grid Technol., pp. 1–7, 2012.
M. Bhoye, S. N. Purohit, I. N. Trivedi, M. H. Pandya, P. Jangir and N. Jangir, “Energy management of Renewable Energy Sources in a microgrid using Cuckoo Search Algorithm,” 2016 IEEE Students' Conference on Electrical, Electronics and Computer Science (SCEECS), Bhopal, 2016, pp. 1-6.
S. Ramabhotla, S. Bayne, and M. Giesselmann, “Economic dispatch optimization of microgrid in islanded mode,” Int. Energy Sustain. Conf. 2014, IESC 2014, vol. 2, pp. 2–6, 2014.
G. Graditi, M. L. Di Silvestre, R. Gallea and E. Riva Sanseverino, "Heuristic-Based Shiftable Loads Optimal Management in Smart Micro-Grids," in IEEE Transactions on Industrial Informatics, vol. 11, no. 1, pp. 271-280, Feb. 2015.
Ganesh Kumar Venayagamoorthy, Ratnesh K. Sharma, Prajwal K. Gautam, andAfshin Ahmadi, " Dynamic Energy Management System for a Smart Microgrid,"IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. 27, NO. 8, AUGUST 2016, pp. 1643-1656.
M. Sharifzadeh, F. Separi and M. Heydari, "Planning of autonomous smart micro grid for electrification of remote villages in MEDC," in CIRED - Open Access Proceedings Journal, vol. 2017, no. 1, pp. 2493-2495, 10 2017.
S. Mei et al., "Paving the way to smart micro energy grid: concepts, design principles, and engineering practices," in CSEE Journal of Power and Energy Systems, vol. 3, no. 4, pp. 440-449, Dec. 2017.
K.S.Srikanth and IndranilSaaki,"A Newly Constructed of Renewable Energy Micro Grid using FUZZY Logic Technique," International Journal of Current Engineering and Technology,Vol.3, No.5 (December 2013), pp. 1701-1707.
Y. Li, W. Dong, X. Feng and M. Zhang, "The Expansion Planning of Wind-Thermal Co-generation System Based on Harmony Search Algorithm under Smart Grid," 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Beijing, China, 2019, pp. 1-5.
L. Shi, W. Wei, H. Zhu, X. Yuan, J. Fei and K. Qian, "Optimal Operation of AC/DC Hybrid Micro Grid Considering Night Energy Storage Constraints," 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), Chengdu, China, 2019, pp. 2493-2498.
P. V. Georgieva and R. Dolchinkov,"Fuzzy Models for Managing a Micro Grid PV System," 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), Opatija, Croatia, 2019, pp. 1066-1071.
Z. P. Cheng, Y. L. Xu, H. N. Zhang and J. F. Gao, "Coordinated control of independent DC micro-grid based on fuzzy-PI algorithm," in The Journal of Engineering, vol. 2019, no. 16, pp. 1107-1111, 3 2019.
Carli, Raffaele, MariagraziaDotoli, Jan Jantzen, Michael Kristensen, and Sarah Ben Othman. "Energy scheduling of a smart microgrid with shared photovoltaic panels and storage: The case of the Ballen marina in Samsø." Energy 198 (2020): 117188.
Ali, Mohammad Y., Faizan Khan, and Vijay K. Sood. "Energy management system of a microgrid using particle swarm optimization and wireless communication system." In 2018 IEEE Electrical Power and Energy Conference (EPEC), pp. 1-7. IEEE, 2018.
Sood, Vijay K., Mohammad Y. Ali, and Faizan Khan. "Energy management system of a microgrid using particle swarm optimization (PSO) and communication system." In Microgrid: Operation, control, monitoring and protection, pp. 263-288. Springer, Singapore, 2020.
Teng, Zhi-jun, Jin-ling Lv, and Li-wen Guo. "An improved hybrid grey wolf optimization algorithm." Soft computing 23, no. 15 (2019): 6617-6631.
Mirjalili, Seyedali, Seyed Mohammad Mirjalili, and Andrew Lewis. "Grey wolf optimizer." Advances in engineering software 69 (2014): 46-61.
Pradhan, Moumita, Provas Kumar Roy, and Tandra Pal. "Oppositional based grey wolf optimization algorithm for economic dispatch problem of power system." Ain Shams Engineering Journal 9, no. 4 (2018): 2015-2025.
Rezaei, Hossein, Omid Bozorg-Haddad, and Xuefeng Chu. "Grey wolf optimization (GWO) algorithm." In Advanced Optimization by Nature-Inspired Algorithms, pp. 81-91. Springer, Singapore, 2018.
Bhangale, Kishor Barasu, and K. Mohanaprasad. "A review on speech processing using machine learning paradigm." Int. Journal of Speech Technology 24 (2021): 367-388.
Bhangale, Kishor, and K. Mohanaprasad. "Speech emotion recognition using mel frequency log spectrogram and deep convolutional neural network." In Futuristic Communication and Network Technologies: Select Proceedings of VICFCNT 2020, pp. 241-250. Springer Singapore, 2022.
Bhangale, Kishor Barasu, and Mohanaprasad Kothandaraman. "Survey of deep learning paradigms for speech processing." Wireless Personal Communications 125, no. 2 (2022): 1913-1949.
Bhangale, Kishor, Piyush Ingle, Rajani Kanase, and Divyashri Desale. "Multi-view multi-pose robust face recognition based on VGGNet." In Second International Conference on Image Processing and Capsule Networks: ICIPCN 2021 2, pp. 414-421. Springer International Publishing, 2022.
Bhangale, Kishor, and Mohanaprasad Kothandaraman. "Speech Emotion Recognition Based on Multiple Acoustic Features and Deep Convolutional Neural Network." Electronics 12, no. 4 (2023): 839.