Optimisation of power quality in solar/wind power stations using developed artificial bee/ant hybrid heuristic algorithm

Mehmet Zile

doi:10.23917/arstech.v2i2.442

Authors

Mehmet Zile Department of Electrical Engineering, Mersin Üniversitesi, Mersin, Turkey.
Turkey

DOI:

https://doi.org/10.23917/arstech.v2i2.442

Keywords:

Bee/ant hybrid algorithm , Heuristic algorithm, Power quality optimisation, Renewable energy , Solar/wind power plants

Abstract

Voltage regulation needs to be optimised to reduce energy losses and improve power quality in renewable solar/wind plants. The Artificial Bee/Ant Hybrid Heuristic Algorithm has been developed in the study, and voltage regulation was optimised using this developed algorithm. A computer program in the C++ programming language was developed to prevent the undesired effects of electrical events occurring during the integration of renewable energy sources and to make the system work more efficiently. The interface of the program was made using the Visual Studio program. It became possible to produce power estimation, power quality estimation and power loss estimation using the intuitive artificial bee/ant hybrid algorithm created on the data set obtained from solar and wind power plants. It was found that there is a ± 4% difference between the values obtained with the developed algorithm and the computer program and the values obtained from the power plants. The developed algorithm and the computer program successfully optimise power quality in solar/wind power stations. The study makes it possible to estimate the amount of energy produced, the amount of energy loss, and the quality of energy in solar/wind power stations.

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References

K. Raviteja, P.K. Kar and, S.B. Karanki, "Renewable energy resources integration to grid with improved power quality capabilities and optimal power flows", IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), pp. 1-6, 2018. https://doi.org/10.1109/PEDES.2018.8707646.

Z. Yu, D. Sun, H. Nian, Y. Liu, and W. Ke, "Power quality control of renewable energy system for hydrogen production based on virtual impedance", 4th International Conference on Electrical Machines and Systems (ICEMS), pp. 303-308, 2021. https://doi.org/10.23919/ICEMS52562.2021.9634675

R. Kannan, B. Krishnan, K. Porkumaran, S. Prabakar, I. Elamvazuthi, and K. Srinivasan, 'Power quality improvement using UPQC for grid interconnected renewable energy sources", 8th International Conference on Intelligent and Advanced Systems (ICIAS), pp. 1-6 2021. https://doi.org/10.1109/ICIAS49414.2021.9642647

S. Puthalath and G. Bhuvaneswari, "Power quality enhancement, and renewable-energy integration-in ship's distribution grid", IEEMA Engineer Infinite Conference (eTechNxT), pp. 1-6, 2018. https://doi.org/10.1109/ETECHNXT.2018.8385323

G.M.S.U. Al-Mamun, A. Hoque, Md.S. Rana, S. Ahmed, Md.I. Hossain, A.J. Hossain and Md.R. Hasan, "Assessing The power quality in micro-grid embedded with renewable energy", 5th International Conference on Advances in Electrical Engineering (ICAEE), pp. 452-456, 2019. https://doi.org/10.1109/ICAEE48663.2019.8975590

N. Karelia, A.V. Sant, and V. Pandya, "Comparison of UPQC Topologies for power quality enhancement in grid integrated renewable energy sources", IEEE 16th India Council International Conference (INDICON), pp. 1-4. 2019. https://doi.org/10.1109/INDICON47234.2019.9029108

O.P. Mahela, P. Gupta, S. Ali and N. Gupta, "Power quality improvement in renewable energy sources based power system using DSTATCOM supported by battery energy storage system", 5th International Conference on Electrical Energy Systems (ICEES), pp. 1–6, 2019. https://doi.org/10.1109/ICEES.2019.8719318.

C. Boonseng, R. Boosseng, and K. Kularbphettong, "Planning, design and installation of a hybrid power filter to power quality improvement for grid-connected renewable energy systems", Hindawi, 23rd International Conference on Electrical Machines and Systems (ICEMS), pp. 457-462, 2020. https://doi.org/10.23919/ICEMS50442.2020.9290962

R.N. Shah, O.P. Mahela and S. Lohia, "Recognition and Mitigation of power quality disturbances in renewable energy interfaced hybrid power grid", 12th International Conference on Computational Intelligence and Communication Networks (CICN), pp. 294-300, 2020. https://doi.org/10.1109/CICN49253.2020.9242623

A. Assi and S.M.M. Tafreshi, "Design of the hybrid harmonic filter to improve the power quality of the grid-connected hybrid renewable energy system", Iranian Conference on Renewable Energy & Distributed Generation (ICREDG) pp. 1-6, 2019. https://doi.org/10.1109/ICREDG47187.2019.19422

J. Wang, Y. Li, J. Guo, J. Cao, H. Hua, C. Xing, C. Qi, and Z. Pi, "Data quality analysis framework and evaluation methods for power system operation with high proportion of renewable energy penetration", IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA), pp. 687-692, 2020. https://doi.org/10.1109/ICIEA49774.2020.9102068

A. Verma and B. Singh, "AFF-SOGI-DRC control of renewable energy based grid interactive charging station for EV with power quality improvement", IEEE Transactions on Industry Applications, Vol. 57, No. 1, pp. 588-597, 2021. https://doi.org/10.1109/TIA.2020.3029547

K.R. Sathish and T. Ananthapadmanabha, "Power Quality Enhancement in Distribution System Integrated with Renewable Energy Sources Using Hybrid RBFNN-TSA Technique", 7th International Conference on Electrical Energy Systems (ICEES), pp. 189-194, 2021. https://doi.org/10.1109/ICEES51510.2021.9383758

G.S. Chawda, A.G. Shaik, O.P. Mahela, S. Padmanaban and J.B. Holm-Nielsen, "Comprehensive review of distributed facts control algorithms for power quality enhancement in utility grid with renewable energy penetration", IEEE Power & Energy Society Section, Vol. 8, pp. 107614-107634, 2020. https://doi.org/10.1109/ACCESS.2020.3000931

G.S. Chawda, A.G. Shaik, M. Shaik, S. Padmanaban, J.B. Holm-Nielsen, O.P. Mahela, P. Kaliannan, "Comprehensive review on detection and classification of power quality disturbances in utility grid with renewable energy penetration", IEEE Power & Energy Society Section, Vol. 8, pp. 146807-146830, 2020. https://doi.org/10.1109/ACCESS.2020.3014732

D. Sahidin, T.D. Rachmildha, and D. Hamdani, "Power quality analysis of solar PV/Micro-Hydro/Wind renewable energy systems for isolated area", The 3rd International Conference on High Voltage Engineering and Power Systems (ICHVEPS), pp. 624-629, 2021. https://doi.org/10.1109/ICHVEPS53178.2021.9601054.

L. Wang, C. Lam and M. Wong, "Analysis, control, and design of a hybrid grid-connected inverter for renewable energy generation with power quality conditioning", IEEE Transactions on Power Electronics, Vol. 33, No. 8, pp. 6755-6768, 2018. https://doi.org/10.1109/TPEL.2017.2753838

G.U. Nnachi, C.T. Mosetlhe and Y. Hamam, "A comparative power quality study of DFIG and PMSG renewable energy conversion systems", The 5th International Conference on Renewable Energies for Developing Countries (REDEC), pp. 1-6, 2020. https://doi.org/10.1109/REDEC49234.2020.9163892

M. Bajaj and A.K. Singh, "A streamlined approach for assessing the power quality in renewable energy systems", IEEE 17th India Council International Conference (INDICON), pp. 1-6, 2020. https://doi.org/10.1109/INDICON49873.2020.9342487

A. Triviño-Cabrera, M. Longo and F. Foiadelli, "Impact of renewable energy sources in the power quality of the Italian electric grid", 11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG), pp. 576-581, 2017. https://doi.org/10.1109/CPE.2017.7915236

X. Liang, "Emerging Power Quality Challenges Due to Integration of Renewable Energy Sources", IEEE Transactions on Industry Applications, Vol. 53, No. 2, pp. 855-866, 2017. https://doi.org/10.1109/TIA.2016.2626253

R. Kalita, J.P. Shah and N.S. Gujar, "Measurement methodology, instrumentation and limit comparison for power quality measurement of grid connected renewable energy systems", International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC), pp. 75-79, 2020. https://doi.org/10.1109/PARC49193.2020.236561

P. Lezhniuk, V. Komar, and O. Rubanenko, "Information support for the task of estimation the quality of functioning of the electricity distribution power grids with renewable energy source", IEEE 7th International Conference on Energy Smart Systems (ESS), pp. 168-171, 2020. https://doi.org/10.1109/ESS50319.2020.9159965.

A.K. Giri, S.R. Arya, and R. Maurya, "Compensation of power quality problems in wind-based renewable energy system for small consumer as isolated loads", IEEE Transactions on Industrial Electronics, Vol. 66, No. 11, pp. 9023-9031, 2019. https://doi.org/10.1109/TIE.2018.2873515

V. Neagoe and C. Neghina, "An artificial bee colony approach for classification of remote sensing imagery", The 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), pp. 1-4, 2018. https://doi.org/10.1109/ECAI.2018.8679082.

X. Bing, Z. Youwei, Z. Xueyan, and S. Xuekai, "An improved artificial bee colony algorithm based on faster convergence", IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), pp. 776-779, 2021. https://doi.org/10.1109/ICAICA52286.2021.9498254

L. Zhang, "A gravitational artificial bee colony optimization algorithm and application", Eighth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC), pp. 1839-1842, 2018. https://doi.org/10.1109/IMCCC.2018.00379

M.M. Alobaedy, A.A. Khalaf, I.D. Muraina, "Analysis of the number of ants in ant colony system algorithm", The 5th International Conference on Information and Communication Technology (ICOIC7), pp. 1-5, 2017. https://doi.org/10.1109/ICoICT.2017.8074653

M. Lee and K. Yu, "Dynamic path planning based on an improved ant colony optimization with genetic algorithm", IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP), pp. 1-2, 2018. https://doi.org/10.1109/APCAP.2018.8538211

C. Crespi, R.A. Scollo, and M. Pavone, 'Effects of different dynamics in an ant colony optimization algorithm", 7th International Conference on Soft Computing & Machine Intelligence (ISCMI), pp. 8-11, 2020. https://doi.org/10.1109/ISCMI51676.2020.9311553.

M. Zile, "Routine test analysis in power transformers by using firefly algorithm and computer program", IEEE, Vol. 7, pp. 132033-132040, 2019. https://doi.org/10.1109/ACCESS.2019.2939764.