Raidar Ali
Electricity has many advantages over other forms of energy, including ease of production, handling, flexibility, and efficiency, making it the most useful form of energy ever discovered. However, as the population grows, so does the electricity demand. Building new power plants requires a lot of effort, money, time, and resources. It is imperative to use the energy already available wisely. For the intelligent use of energy, a variety of approaches are used. To achieve the goals of lowering electricity costs, peak-to-average ratios (PAR), and user comfort, meta-heuristic optimization algorithms are frequently used and occasionally mathematically based optimization algorithms are employed. This concept also led to the creation of the Smart Grid (SG) and its concept. To use the energy effectively and conduct a comparison, a Synergy of Sine Cosine Algorithm (SCA) and Particle Swarm Optimization (PSO) are used in this paper.
Raidar Ali “A Hybrid Sine Cosine-Particle Swarm Optimization Algorithm for Energy Optimization on De Vol. 10 Issue 05 PP. 37-45 March 2023. https://doi.org/10.34259/ijew.23.10053745.
[1] Using LabVIEW.,2012. Int. J. Soft Comput. Eng., vol. 1, no. 6, pp. 98–106.
[2] Q. Hu, S. Member, F. Li, and S. Member., 2013. Hardware Design of Smart Home Energy Management System with Dynamic Price Response, IEEE Trans. Smart Grid, vol. 4, issue no. 4, pp. 1878–1887,
[3] Han, Dae-Man, and Jae-Hyun Lim.,2010. Smart home energy management system using IEEE 802.15. 4 and zigbee. IEEE Transactions on Consumer Electronics 56.3 ,pp:1403-1410.
[4] Son, Young-Sung, et al.,2010. Home energy management system based on power line communication. IEEE Transactions on Consumer Electronics 56.3, pp:1380-1386.
[5] Shareef, Hussain, et al., 2018. Review on home energy management system considering demand responses, smart technologies, and intelligent controllers. IEEE Access 6, pp: 24498-24509.
[6] M. H. Albadi., 2008. A summary of demand response in electricity markets, vol. 78, pp. 1989–1996.
[7] Irfan Jamil, Hong Lucheng, Salman Habib, Muhammad Aurangzeb, Emad M. Ahmed, Rehan Jamil, Performance evaluation of solar power plants for excess energy based on energy production, Energy Reports, Volume 9, 2023, Pages 1501-1534, https://doi.org/10.1016/j.egyr.2022.12.081.
[8] A. Khalid, N. Javaid, and A. Mateen., 2016. Demand Side Management using Hybrid Bacterial Foraging and Genetic Algorithm Optimization Techniques, 10th Int. Conf. Complex, Intelligent, Softw. Intensive Syst., vol. 2013, pp. 494–502.
[9] F. Baig, a Mahmood, N. Javaid, S. Razzaq, N. Khan, and Z. Saleem., 2013. Smart home energy management system for monitoring and scheduling of home appliances using zigbee, J. Basic. Appl. Sci. Res, vol. 3, no. 5, pp. 880–891.
[10] A. Tascikaraoglu, A. R. Boynuegri, and M. Uzunoglu., 2014. A demand side management strategy based on forecasting of residential renewable sources?: A smart home system in Turkey, Energy Build., vol. 80, pp. 309–320.
[11] I, Jamil et. Al “Evaluation of Energy Production and Energy Yield Assessment Based on Feasibility, Design, and Execution of 3?×?50?MW Grid-Connected Solar PV Pilot Project in Nooriabad", International Journal of Photoenergy, vol. 2017, Article ID 6429581, 18 pages, 2017. https://doi.org/10.1155/2017/6429581
[12] S. Chen et al., 2017. Butler, Not Servant: A Human-Centric Smart Home Energy Management System, IEEE Commun. Mag., vol. 55, no. 2, pp. 27–33.
[13] N. Loganathan, P. S. Mayurappriyan, and K. Lakshmi., 2018. Smart energy management systems?: a literature review, vol. 01016, pp. 1–8.
[14] Q. Hu, S. Member, F. Li, and S. Member.,2013. Hardware Design of Smart Home Energy Management System with Dynamic Price Response, IEEE Trans. Smart Grid, vol. 4, no. 4, pp. 1878–1887.
[15] A. Zafar, S. Shah, R. Khalid, S. M. Hussain, H. Rahim, and N. Javaid., 2017. A meta-heuristic home energy management system, in Advanced Information Networking and Applications Workshops (WAINA), 2017 31st International Conference on, pp. 244–250.
[16] Ahmed Shaban, Hagag Maher, Mahmoud Elbayoumi, Suzan Abdelhady., 2021. A cuckoo load scheduling optimization approach for smart energy management, Energy Reports, Volume 7, pp. 4705-4721,
[17] S. Mirjalili., 2016. Sca: a sine cosine algorithm for solving optimization problems, Knowledge-Based Systems, vol. 96, pp. 120–133.
[18] Lee, Kwang Y., and Jong-Bae Park., 2006. Application of particle swarm optimization to economic dispatch problem: advantages and disadvantages. IEEE PES Power Systems Conference and Exposition. IEEE.
[19] Gabis, A.B., Meraihi, Y., Mirjalili, S. et al., 2021. A comprehensive survey of sine cosine algorithm: variants and applications. Artif Intell Rev 54, pp. 5469–5540 https://doi.org/10.1007/s10462-021-10026-y
