Journal Press India®

Analysis of Economic Dispatch of Integration of PV- wind Generation Connected to Microgrid with Load-storage

Vol 6 , Issue 1 , January - June 2023 | Pages: 43-49 | Research Paper  

https://doi.org/10.51976/jfsa.612306


Author Details ( * ) denotes Corresponding author

1. * Yogendra Kumar, Assistant professor , Electrical Engineering , GLA UNIVERSITY , Mathura, Uttar Pradesh, India (kumar.yogendra@gla.ac.in)

The most effective and economical power dispatching for microgrids is incorporated into the new power system optimisation, it is essential for reducing energy use and pollution. The microgrid should make money and deliver power that meets the absolute minimal requirements. In this study, we propose a combined optimisation approach for a distributed energy system with wind-photovoltaic load storage. The cost of production, the cost of discharge, the cost of acquisition, and the revenue from the sale of energy are all taken into consideration in this model. The relevant particle swarm optimization-based model solution algorithm is also supplied. The efficiency of the suggested model and algorithm is further demonstrated. In this research, Using a project case study, the joint optimal method for a distributed energy system with wind-photovoltaic load storage is examined and addressed.. It also presents the most practical and affordable power dispatching strategies under various scenarios.

Keywords

Battery, Wind turbine, Photovoltaic system, Load, Microgrid, EPD

  1. Takano, H., Hayashi, R., Asano, H. & Goda, T. (2021). Optimal sizing of battery energy storage systems considering cooperative operation with microgrid components. Energies, 14, 7442.
  2. Zhu, Z.W., Huang, B., Qiu, X.Y. & Huang, C. (2022). Optimal dispatching of active distribution network based on suppressing wind and photovoltaic power fluctuation. Acta Energ. Sol. Sin., 43, 90–97.
  3. Wang, L.H., Wang, X.H. & Xiao, J.M. (2018). Optimized dispatch of Wind—PV—Battery microgrid based on group search algorithm. Mar. Electr. Electron. Eng., 38, 27–30.
  4. Kumar, Y., Saxena, A. & Goyal, M. (2021, February). Integration of hybrid cascaded multilevel inverter configuration in a PV based applications with multicarrier PWM technology. In 2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) (pp. 1-5). IEEE.
  5. Lorestani, A., Gharehpetian, G.B., & Nazari, M.H. (2019). Optimal sizing and techno-economic analysis of energy- and cost-efficient standalone multi-carrier microgrid. Energy, 178, 751–764.
  6. Javid, Z., Li, K.-J., Hassan, R.U. & Chen, J. (2020). Hybrid-microgrid planning, sizing and optimization for an industrial demand in Pakistan. Teh. Vjesn.-Tech. Gaz., 27, 781–792.
  7. Ghaithan, A.M. & Mohammed, A. (2022). An optimization model for sizing a hybrid photovoltaic-wind-grid-connected system in Saudi Arabia. Process Integr. Optim. Sustain. 6, 1027–1042.
  8. Wang, Z., Chen, B., Wang, J., Begovic, M.M. & Chen, C. (2015). Coordinated energy management of networked microgrids in distribution systems. IEEE Trans. Smart Grid, 6,     45–53.
  9. Wang, Z., Chen, B., Wang, J. & Kim, J. (2016). Decentralized energy management system for networked microgrids in grid-connected and islanded modes. IEEE Trans. Smart Grid, 7, 1097–1105.
  10. Zhang, L., Yang, Y., Li, Q., Gao, W., Qian, F. & Song, L. (2021). Economic optimization of microgrids based on peak shaving and CO2 reduction effect: A case study in Japan. J. Clean. Prod. 321, 128973.
  11. Ding, X., Guo, Q., Qiannan, T. & Jermsittiparsert, K. (2021). Economic and environmental assessment of multi-energy microgrids under a hybrid optimization technique. Sustain. Cities Soc., 65, 102630.
  12. Agundis, T.G., Aldana, N.L.D., Luna, A.C. & Segundo-ram, J. (2019). Extended OPF-based hierarchical control for islanded AC microgrids. IEEE Trans. Power Electron., 34, 840–848.
  13. Moradi, M.H., Eskandari, M. & Mahdi, H.S. (2015). Operational strategy optimization in an optimal sized smart microgrid. IEEE Trans. Smart Grid, 6, 1087–1095.
  14. Wang, P., Zhang, Y. & Yang, H. (2021). Research on economic optimization of microgrid cluster based on chaos sparrow search algorithm. Comput. Intell. Neurosci., 5556780.
  15. Zhao, J. L., Chen, H., Song, G.Y., Fan, X., Li, P. & Wu, J. (2020). Planning method of soft open point in distribution network considering reliability benefits. Autom. Electr. Power Syst. 44, 22–31.
  16. Liu, L., Liu, Q., Zhang, W., Wei, J. & Ye, S. (2020). Consumer-aware reliability evaluation and outage loss compensation method for smart grid. In Proceedings of the 2020 IEEE 1st China International Youth Conference on Electrical Engineering, Wuhan, China, 1–4.
  17. Sun, R., Wang, M., Wu, Z., Dou, X., Luo, Y., Sun, J., Cheng, L. & Yuan, J. (2019). Modular distribution network reliability analysis and comprehensive evaluation method. In Proceedings of the 2019 IEEE Innovative Smart Grid Technologies—Asia (ISGT Asia), Chengdu, China, 21–24.
  18. Adefarati, T. & Bansal, R.C. (2019). Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources. Appl. Energy, 236, 1089–1114.
  19. Al-Muhaini, M. & Heydt, G.T. (2013). A novel method for evaluating future power distribution system reliability. IEEE Trans. Power Syst., 28, 3018–3027.
  20. Martins, V.F. & Borges, C.L.T. (2011). Active distribution network integrated planning incorporating distributed generation and load response uncertainties. IEEE Trans. Power Syst., 26, 2164–2172.
  21. Ndawula, M.B., Hernando-Gil, I., Li, R., Gu, C. & De Paola, A. (2021). Model order reduction for reliability assessment of flexible power networks. Int. J. Electr. Power Energy Syst., 127, 106623.
  22. Li, G.F., Huang, Y.X., Bie, Z.H. & Ding, T. (2020). Machine-learning-based reliability evaluation framework for power distribution networks. IET Gener. Transm. Distrib., 14, 2282–2291.
  23. Lin, B. (2018). Distribution network planning method in coordination of reliability and economy. Telecom Power Technol. 35, 273–274.
  24. Hou, K., Rim, J.S., Jia, H.J., Lei, Y., Lin, Z., Liu, X. & Mu, Y. (2019). Optimal planning of urban distribution network tie-line with coordination of reliability and economics. J. Tianjin Univ. Sci. Technol. 52, 1293–1302.
  25. Ding, J.-Y., Hu, Q.-R., Wu, Z.-J., Qian, T. & Hou, K. (2023). Optimal scheduling of microgrid considering battery lifetime in low-temperature environment. Proc. CSEE 2023.
  26. Kumar, Y., Goyal, M. & MISHRA, R. (2020, November). Modified PV based hybrid multilevel inverters using multicarrier PWM strategy. In 2020 4th international conference on electronics, communication and aerospace technology (ICECA) (pp. 460-464). IEEE.
  27. Wang, H.P., Duan, F.H. & Ma, J. (2020). Selective maintenance model and its solving algorithm for complex system. J. Beijing Univ. Aeronaut. Astronaut., 46, 2264–2273.
  28. Kumar, Y., Pushkarna, M. & Gupta, G., (2020, December). Microgrid implementation in unbalanced nature of feeder using conventional technique. In 2020 3rd international conference on intelligent sustainable systems (ICISS) (pp. 1489-1494). IEEE.
Abstract Views: 1
PDF Views: 94

Related Articles
IoT Devices Battery Life Energy Management Scheme
Daniel Dauda Wisdom, Arinze Uchechukwu Christian, Eneh Agozie Hyacinth, Oduntan Odunayo Esther, Kingsley Igulu, Alpha Baba Garba
Charging System for Auxilliary Storage in Plug-in Vehicle
Dr. Rohit Srivastava, Dr. Arunesh Kumar Srivastava
Fuel Economy Optimisation by Utilising Hybrid Energy Storage Systems
Dr. Rashmi Sharma, Mr. Rahul Sharma, Ms. Minakshi Kaushik
Multilevel Inverters based on Photovoltaics System used with Multicarrier PWM
Mr. Anurag Kumar, Mr. Shashank Saxena, Mr. Prashant Kumar Singh

By continuing to use this website, you consent to the use of cookies in accordance with our Cookie Policy.