Ant-Lion Optimization Algorithm Based Optimal Performance of Micro Grids

Samala Nagaraju, Bethi Chandramouli

Abstract


In the operational state of an electrical power system, ensuring efficient utilization and high-quality power usage is essential. Various quality enhancement measures, such as linear and adaptive filters, are implemented to improve the current's quality. Additionally, power flow controllers are employed to mitigate losses and enhance fault tolerance. However, the escalating demand for power supply, driven by rapid industrial and urban growth, often exceeds the capacity of existing generation systems. To address this challenge, supplementary subunits are integrated into the power system. This proposal's main objective is to introduce a weight-defined parameter monitoring system for power scheduling within a multi-parameter monitoring framework. The aim is to enhance the conventional preference-based scheduler by incorporating intelligent control techniques, including Unified Power Quality Conditioner (UPQC) with the ANT-LION Optimization (ALO) algorithm, which will be compared to a Fuzzy Logic controller. UPQC plays a pivotal role in addressing power quality issues within the system, combining a shunt active power filter with an Artificial Neural Network (ANN) controlled by the ALO algorithm. Our research demonstrates the effectiveness of this proposed system, particularly in microgrid applications, with validation conducted using MATLAB/Simulink.

 


Keywords


UPQC, ALO, FLC,Active Power filters, MATLAB/Simulink

References


Ansal, V., 2020. ALO-optimized artificial neural network-controlled dynamic voltage restorer for compensation of voltage issues in the distribution system. Soft Computing, 24(2), pp.1171-1184.

Radhika, A., Soundradevi, G. and Mohan Kumar, R., 2020. An effective compensation of power quality issues using MPPT-based cuckoo search optimization approach. Soft Computing, 24(22), pp.16719-16725.

Gai, K., Wu, Y., Zhu, L., Xu, L. and Zhang, Y., 2019. Permissioned blockchain and edge computing empowered privacy-preserving smart grid networks. IEEE Internet of Things Journal, 6(5), pp.7992-8004.

Nagaraju, S. (2023). Enhancing Power Quality with PDO-FOPID Controller in Unified Power Quality Conditioner for Grid-Connected Hybrid Renewables. Nigerian Journal of Technological Development, 20(4), 34-43.

Kavuturu, K.V. and Narasimham, P.V.R.L., 2020. Multi-objective economic operation of modern power system considering weather variability using adaptive cuckoo search algorithm. Journal of Electrical Systems and Information Technology, 7(1), pp.1-29.

Malik, S. and Suhag, S., 2020. A novel SSA tuned PI-TDF control scheme for mitigation of frequency excursions in hybrid power system. Smart Science, 8(4), pp.202-218.

Darvish Falehi, A., 2020. Optimal robust disturbance observer based sliding mode controller using multi-objective grasshopper optimization algorithm to enhance power system stability. Journal of Ambient Intelligence and Humanized Computing, 11(11), pp.5045-5063.

Manuel, R. and Emayavaramban, G., 2022. PALONN: Parallel ant lion optimizer and artificial neural network for power flow control of the micro grid-connected system. IETE Journal of Research, 68(2), pp.1225-1242.

Thumu, R., Harinadha Reddy, K. and Rami Reddy, C., 2021. Unified power flow controller in grid-connected hybrid renewable energy system for power flow control using an elitist control strategy. Transactions of the Institute of Measurement and Control, 43(1), pp.228-247.

ElSayed, S.K. and Elattar, E.E., 2021. Slime Mold Algorithm for Optimal Reactive Power Dispatch Combining with Renewable Energy Sources. Sustainability, 13(11), p.5831.

Rahbari, O., Vafaeipour, M., Omar, N., Rosen, M.A., Hegazy, O., Timmermans, J.M., Heibati, S. and Van Den Bossche, P., 2017. An optimal versatile control approach for plug-in electric vehicles to integrate renewable energy sources and smart grids. Energy, 134, pp.1053-1067.

Irfan, M., Iqbal, J., Iqbal, A., Iqbal, Z., Riaz, R.A. and Mehmood, A., 2017. Opportunities and challenges in control of smart grids–Pakistani perspective. Renewable and Sustainable Energy Reviews, 71, pp.652-674.

Bayindir, R., Colak, I., Fulli, G. and Demirtas, K., 2016. Smart grid technologies and applications. Renewable and sustainable energy reviews, 66, pp.499-516.

Derakhshan, G., Shayanfar, H.A. and Kazemi, A., 2016. The optimization of demand response programs in smart grids. Energy Policy, 94, pp.295-306.

He, Y., Mendis, G.J. and Wei, J., 2017. Real-time detection of false data injection attacks in smart grid: A deep learning-based intelligent mechanism. IEEE Transactions on Smart Grid, 8(5), pp.2505-2516.

Keshtkar, A., Arzanpour, S., Keshtkar, F. and Ahmadi, P., 2015. Smart residential load reduction via fuzzy logic, wireless sensors, and smart grid incentives. Energy and buildings, 104, pp.165-180.

Kanellos, F.D., Tsekouras, G.J. and Prousalidis, J., 2015. Onboard DC grid employing smart grid technology: challenges, state of the art and future prospects. IET Electrical Systems in Transportation, 5(1), pp.1-11.

Howell, S., Rezgui, Y., Hippolyte, J.L., Jayan, B. and Li, H., 2017. Towards the next generation of smart grids: Semantic and holonic multi-agent management of distributed energy resources. Renewable and Sustainable Energy Reviews, 77, pp.193-214.

Chin, W.L., Li, W. and Chen, H.H., 2017. Energy big data security threats in IoT-based smart grid communications. IEEE Communications Magazine, 55(10), pp.70-75.

Utkarsh, K., Trivedi, A., Srinivasan, D. and Reindl, T., 2016. A consensus-based distributed computational intelligence technique for real-time optimal control in smart grids. IEEE Transactions on Emerging Topics in Computational Intelligence, 1(1), pp.51-60.

Shabalov, M. Y., Zhukovskiy, Y. L., Buldysko, A. D., Gil, B., & Starshaia, V. V. (2021). The influence of technological changes in energy efficiency on the infrastructure deterioration in the energy sector. Energy Reports, 7, 2664-2680.

Kaushal, J., & Basak, P. (2020). Power quality control based on voltage sag/swell, unbalancing, frequency, THD and power factor using artificial neural network in PV integrated AC microgrid. Sustainable Energy, Grids and Networks, 23, 100365.

Jaffal H, Guanetti L, Rancilio G, Spiller M, Bovera F, Merlo M. Battery Energy Storage System Performance in Providing Various Electricity Market Services. Batteries. 2024; 10(3):69. https://doi.org/10.3390/batteries10030069.

Abouyaakoub, M., & Hihi, H. (2023, January). Analysis and Comparison of Mathematical Models PV Array Configurations (Series, Parallel, Series-Parallel, Bridge-Link and Total-Cross-Tied) Under Various Partial Shading Conditions. In International Conference on Digital Technologies and Applications (pp. 672-683). Cham: Springer Nature Switzerland.

Alnaieli, H. A., Jadallah, A. A., & Numan, A. H. (2024). Design, Fabrication, and Experimental Analysis of a PV Panel for a Smart Sunflower System. Tikrit Journal of Engineering Sciences, 31(1), 113-126.

Zhang, J., Ma, K., Lei, E., Han, R., Liu, Y., Jin, L., ... & Ma, Y. (2023). Modeling and Controller Design of a Hybrid Input-Parallel Output-Serial Modular DC-DC Converter for High Efficiency and Wide Output Range. IEEE Transactions on Industry Applications.

Palanisamy, S., Rahiman, Z., & Chenniappan, S. (2023). Introduction to Smart Power Systems. Artificial Intelligence‐based Smart Power Systems, 1-13.

Nagaraju, S., Bethi, C., Kumar, K. V., Muni, T. V., Varma, N. S. V., & Kumar, P. R. (2022, November). Dynamic voltage restorer based solar PV system connected grid utilizing UPQC with fuzzy. In 2022 International Conference on Futuristic Technologies (INCOFT) (pp. 1-6). IEEE.

Heidari, A. A., Faris, H., Mirjalili, S., Aljarah, I., & Mafarja, M. (2020). Ant lion optimizer: theory, literature review, and application in multi-layer perceptron neural networks. Nature-Inspired Optimizers: Theories, Literature Reviews and Applications, 23-46.

Rafique, W., Khan, A., Almogren, A., Arshad, J., Yousaf, A., Jaffery, M. H., ... & Shafiq, M. (2022). Adaptive Fuzzy Logic Controller for Harmonics Mitigation Using Particle Swarm Optimization. Computers, Materials & Continua, 71(3).

Srimatha, S., Mallala, B., & Upendar, J. (2023). A novel ANFIS-controlled customized UPQC device for power quality enhancement. Journal of Electrical Systems and Information Technology, 10(1), 55.


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