Optimal power dispatch capability and reliability analysis of hybrid renewable energy system

K. Uma Maheshwari; P. Vijaya Lakshmi; A. Nagaraju; Subrahmanyam Kothagundu

doi:10.31893/multiscience.2024046

Keywords:

flow of battery

VRB

solar-wind energy

power dispatch method

size of battery

Abstract

These days, using solar and wind energy resources is much more cost-effective and appealing. The rapid depletion and growing expense of non-renewable energy supplies resulted in the development of alternative energy sources that utilize renewable energy sources. In recent times, hybrid renewable energy algorithms have often been connected to wind and solar power systems. The primary objective of this work (PWBHPS) is to determine the power dispatch capacity of a PV-wind-battery hybrid power system. In the modern electric power market, the PWBHPS's power dispatch capacity needs to be explicitly specified at the beginning of every dispatching time interval in order to collaborate with the transmission system operator (TSO). Energy storage is a workable option for efficiently integrating renewable energy sources into the system. A recently developed storage device called the vanadium redox flow battery (VRFB) may have certain advantages in large-scale grid-connected applications. State-of-charge monitoring provides extra insights into battery performance by displaying increased capacity utilization and longer cycle times, both of which extend the life of the cells. This study looks at the minimum-max technique of individual solar energy, wind energy, and a combined PV wind battery hybrid power system to size a VRB battery for application in renewable energy systems. Individual wind and solar systems need larger battery capacities for consistent, constant power output; hybrid systems require batteries with lower ratings. An optimal charging mechanism is proposed and explored through MATLAB simulations.
References
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8. Mohammad Reza Maghami AG (2023) Challenges associated with Hybrid Energy Systems: An artificial intelligence solution, Energy Reports 924-940. DOI: 10.1016/j.egyr.2022.11.195
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11. Xiangguo Xu ZZ (2023) Design and multi-objective comprehensive evaluation analysis of PV-WT-BG-Battery hybrid renewable energy systems in urban communities. Energy Conversion and Management X:18. DOI: 10.1016/j.ecmx.2023.100357.
12. Yang Li MV (2020) Design of minimum cost degradation-conscious lithium-ion battery energy storage system to achieve renewable power dispatch ability. Applied Energy 260. DOI: 10.1016/j.apenergy.2019.114282.

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to cite

Maheshwari, K. U., Lakshmi, P. V., Nagaraju, A., & Kothagundu, S. (2023). Optimal power dispatch capability and reliability analysis of hybrid renewable energy system. Multidisciplinary Science Journal, 6(5), 2024046. https://doi.org/10.31893/multiscience.2024046

[1] Ahead C (2017). Battery Energy storage. Michael Weinstein.

[2] Alexandre Lucas SC (2016) Smart grid energy storage controller for frequency regulation and peak shaving, using a vanadium redox flow battery. International Journal of Electrical Power & Energy Systems 80:26-36. DOI: 10.1016/j.ijepes.2016.01.025.

[3] Boss S (2018) Project-Based Teaching: How to Create Rigorous and Engaging Learning Experiences. USA: ASCD.

[4] Chun TW (2015) Cost Optimized Battery Capacity and Short-Term Power Dispatch Control for Wind Farm. research gate. DOI: 10.1109/TIA.2014.2330073.

[5] Engineering: Issues, Challenges, and Opportunities for Development (2010) Germany: UNESCO Publishing.

[6] J Leahy M (2010) Wind storage technologies. WIT Transactions on State of the Art in Science and Engineering.

[7] KC Divya JØ (2009) Battery energy storage technology for power systems. An overview, Electric Power Systems Research 79:511-520.

[8] Mohammad Reza Maghami AG (2023) Challenges associated with Hybrid Energy Systems: An artificial intelligence solution, Energy Reports 924-940. DOI: 10.1016/j.egyr.2022.11.195

[9] Nameer Al Khafaf JW (2023) A deep learning approach for detecting distributed generation in residential customers, Sustainable Energy, Grids and Networks 33. (DOI: 10.1016/j.segan.2022.100966

[10] Puleston T, Clemente A, Costa-Castelló R, Serra M (2022) Modeling and Estimation of Vanadium Redox Flow Batteries: A Review. Batteries. DOI: 10.3390/batteries8090121

[11] Xiangguo Xu ZZ (2023) Design and multi-objective comprehensive evaluation analysis of PV-WT-BG-Battery hybrid renewable energy systems in urban communities. Energy Conversion and Management X:18. DOI: 10.1016/j.ecmx.2023.100357.

[12] Yang Li MV (2020) Design of minimum cost degradation-conscious lithium-ion battery energy storage system to achieve renewable power dispatch ability. Applied Energy 260. DOI: 10.1016/j.apenergy.2019.114282.

Abstract

References

How to cite