A multi-objective scheduling of renewable energy sources in a smart grid system
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Keywords:
RESs, MG, PV, WT, MOPSOAbstract
The demand for electricity is increasing as our global population grows. The shift towards renewable
energy sources (RESs) is unavoidable.
RESs have cost benefits and are also eco-friendly. However, effectively regulating the energy cost presents
a notable challenge when incorporating RESs into microgrids (MG). To tackle this issue, this work presents
a novel approach utilizing a cost-effective multi-objective particle swarm optimization (MOPSO) to
optimize electricity distribution among different generation units within the MG system. The proposed
MOPSO algorithm will optimally allocate the power produced from various sources in the MG, aiming to
minimize operational costs, carbon emissions, and LOLE (Loss of Load Expectation). MOPSO utilizes the
heuristic technique to produce a wide range of non-dominated solutions. The simulation results depict the
efficiency of our proposed model in reducing the cost, emissions, and LOLE in MG under two distinct
scenarios.
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References
Fakhar, Adila, Ahmed MA Haidar, M. O. Abdullah, and Narottam Das. "Smart grid mechanism for green energy management: a comprehensive review." International Journal of Green Energy 20, no. 3 (2023): 284-308.
Gupta, Khushboo, and Vinod Kumar. "KMS–AMI: an efficient and scalable key management scheme for secure two-way communications in advanced metering infrastructure of smart grid." The Journal of Supercomputing (2023): 1-34.
Rehmani, Mubashir Husain, Martin Reisslein, Abderrezak Rachedi, Melike Erol-Kantarci, and Milena Radenkovic. "Integrating renewable energy resources into the smart grid: Recent developments in information and communication technologies." IEEE Transactions on Industrial Informatics 14, no. 7 (2018): 2814-2825.
Chamandoust, Heydar, Ghasem Derakhshan, Seyed Mehdi Hakimi, and Salah Bahramara. "Tri-objective scheduling of residential smart electrical distribution grids with optimal joint of responsive loads with renewable energy sources." Journal of Energy Storage 27 (2020): 101112.
Kumar, K. Prakash, and B. Saravanan. "Day ahead scheduling of generation and storage in a microgrid considering demand Side management." Journal of Energy Storage 21 (2019): 78-86.
Eslahi, M., A. Foroughi Nematollahi, and B. Vahidi. "Day-Ahead scheduling of centralized energy storage system in electrical networks by proposed stochastic MILP-Based bi-objective optimization approach." Electric Power Systems Research 192 (2021): 106915.
Aghajani, Gholamreza, and Naser Yousefi. "Multi-objective optimal operation in a micro-grid considering economic and environmental goals." Evolving Systems 10 (2019): 239-248.
Khan, Hassan Wasim, Muhammad Usman, Ghulam Hafeez, Fahad R. Albogamy, Imran Khan, Zeeshan Shafiq, Mohammad Usman Ali Khan, and Hend I. Alkhammash. "Intelligent optimization framework for efficient demand-side management in renewable energy integrated smart grid." IEEE Access 9 (2021): 124235-124252.
Khan, Inam Ullah, Nadeem Javaid, C. James Taylor, Kelum AA Gamage, and M. A. Xiandong. "Optimal power flow solution with uncertain RES using augmented grey wolf optimzation." In 2020 IEEE International Conference on Power Systems Technology (POWERCON), pp. 1-6. IEEE, 2020.
Wang, Yongli, Yujing Huang, Yudong Wang, Haiyang Yu, Ruiwen Li, and Shanshan Song. "Energy management for smart multi-energy complementary micro-grid in the presence of demand response." Energies 11, no. 4 (2018): 974.
Xianfeng, C. H. E. N., C. H. E. N. Qingheng, Y. U. A. N. Xiaojie, H. E. Yujun, and C. H. E. N. Qixin. "Economic schedule of a microgrid with load flexibility based on rolling robust optimization." In 2018 International Conference on Power System Technology (POWERCON), pp. 693-698. IEEE, 2018.
Chen, J. J., B. X. Qi, Z. K. Rong, K. Peng, Y. L. Zhao, and X. H. Zhang. "Multi-energy coordinated microgrid scheduling with integrated demand response for flexibility improvement." Energy 217 (2021): 119387.
Aghajani, G. R., H. A. Shayanfar, and H. Shayeghi. "Demand side management in a smart micro-grid in the presence of renewable generation and demand response." Energy 126 (2017): 622-637.
