Energy Storage Configuration Evaluation Method for Renewable Energy Consumption Based on Power Grid Development Planning and Resource Output Forecast Analysis
DOI:
https://doi.org/10.13052/dgaej2156-3306.3962Keywords:
Grid planning, forecast analysis, renewable grid integration, energy storage evaluationAbstract
In recent years, the rapid development of new energy sectors, particularly photovoltaic and wind power, has introduced significant challenges stemming from their inherent randomness and volatility. This paper presents a systematic approach for effective evaluation of energy storage configurations. The study begins by examining the anticipated evolution of the power grid in alignment with China’s energy policies, focusing on the annual growth rates of wind power, photovoltaic systems, and energy demand. This analysis establishes a foundation for planning energy storage installations. Next, a forecasting method is employed to predict the output of both photovoltaic and wind energy resources. Building on this, a novel control strategy is proposed for integrating renewable energy sources into the grid, facilitating the determination of optimal energy contributions to ensure a stable power supply. A comprehensive energy storage configuration model is then developed, accompanied by a multi-faceted analytical framework to assess energy storage from perspectives such as environmental impact, economic feasibility, operational flexibility, and technological advancement. Ultimately, this research provides a scientific assessment of energy storage configurations, grounded in grid development projections and resource output forecasts.
Downloads
References
J. Qiao, Y. Mi, J. Shen, C. Lu, P. Cai, S. Ma, P. Wang, Optimization schedule strategy of active distribution network based on microgrid group and shared energy storage, Applied Energy 377(2025) 124681. doi: https://doi.org/10.1016/j.apenergy.2024.124681. URL https://www.sciencedirect.com/science/article/pii/S0306261924020646.
A. Cagnano, A. Caldarulo Bugliari, E. De Tuglie, A cooperative control for the reserve management of isolated microgrids, Applied Energy 218 (2018) 256–265. doi: https://doi.org/10.1016/j.apenergy.2018.02.142. URL https://www.sciencedirect.com/science/article/pii/S030626191830285X.
A. Cagnano, E. De Tuglie, P. Mancarella, Microgrids: Overview and guidelines for practical implementations and operation, Applied Energy 258(2020) 114039. doi: https://doi.org/10.1016/j.apenergy.2019.114039. URL https://www.sciencedirect.com/science/article/pii/S030626191931726X.
S. Choudhury, Review of energy storage system technologies integration to microgrid: Types, control strategies, issues, and future prospects, Journal of Energy Storage 48(2022) 103966. doi: https://doi.org/10.1016/j.est.2022.103966. URL https://www.sciencedirect.com/science/article/pii/S2352152X22000147.
S. Obara, Capacity planning of storage batteries for remote island microgrids with physical energy storage with CO2 phase changes, Journal of Energy Storage 102(2024) 114238. doi: https://doi.org/10.1016/j.est.2024.114238. URL https://www.sciencedirect.com/science/article/pii/S2352152X24038246.
Y. Cheng, N. Zhang, B. Zhang, C. Kang, W. Xi, M. Feng, Low carbon operation of multiple energy systems based on energy-carbon integrated prices, IEEE Transactions on Smart Grid 11(2) (2020) 1307–1318. doi: 10.1109/TSG.2019.2935736.
L. Wang, H. Zhao, D. Wang, F. Dong, T. Feng, R. Xiong, Low-carbon economic dispatch of integrated energy system considering expanding carbon emission flows, IEEE Access 12(2024) 104755–104769. doi: 10.1109/ACCESS.2024.3435051.
T. Morstyn, M. Chilcott, M. D. McCulloch, Gravity energy storage with suspended weights for abandoned mine shafts, Applied Energy 239(2019) 201-206. doi: https://doi.org/10.1016/j.apenergy.2019.01.226. URL https://www.sciencedirect.com/science/article/pii/S0306261919302466.
A. Rathore, N. Patidar, Optimal sizing and allocation of renewable based distribution generation with gravity energy storage considering stochastic nature using particle swarm optimization in radial distribution network, Journal of Energy Storage 35(2021) 102282. doi: https://doi.org/10.1016/j.est.2021.102282. URL https://www.sciencedirect.com/science/article/pii/S2352152X21000463.
A. Emrani, A. Berrada, M. Bakhouya, Optimal sizing and deployment of gravity energy storage system in hybrid PV-wind power plant, Renewable Energy 183 (2022) 12–27. doi: https://doi.org/10.1016/j.renene.2021.10.072. URL https://www.sciencedirect.com/science/article/pii/S0960148121015317.
M. Tawalbeh, S. Z. Murtaza, A. Al-Othman, A. H. Alami, K. Singh, A. G. Olabi, Ammonia: A versatile candidate for the use in energy storage systems, Renewable Energy 194 (2022) 955–977. doi: https://doi.org/10.1016/j.renene.2022.06.015. URL https://www.sciencedirect.com/science/article/pii/S0960148122008473.
L. Ge, B. Zhang, W. Huang, Y. Li, L. Hou, J. Xiao, Z. Mao, X. Li, A review of hydrogen generation, storage, and applications in power system, Journal of Energy Storage 75 (2024) 109307. doi: https://doi.org/10.1016/j.est.2023.109307. URL https://www.sciencedirect.com/science/article/pii/S2352152X2302705.
S. S. Hosseini Dehshiri, B. Firoozabadi, A multidisciplinary approach to select wind turbines for power-hydrogen production: Energy, exergy, economic, environmental under uncertainty prediction by artificial intelligence, Energy Conversion and Management 310 (2024) 118489. doi: https://doi.org/10.1016/j.enconman.2024.118489. URL https://www.sciencedirect.com/science/article/pii/S0196890424004308.
S. S. Hosseini Dehshiri, B. Firoozabadi, Comprehensive framework on wind energy: A sustainable site selection under uncertainty and reliability, layout optimization and analysis, Applied Energy 373 (2024) 123937. doi: https://doi.org/10.1016/j.apenergy.2024.123937. URL https://www.sciencedirect.com/science/article/pii/S0306261924013205.
Z. Fu, W. Lin, D. Yang, Intelligent control of an integrated energy system: Low carbon modeling and intelligent optimization, in: 2024 6th International Conference on Electronic Engineering and Informatics (EEI), 2024, pp. 660–665. doi: 10.1109/EEI63073.2024.10696410.
Z. Yuan, H. Zhang, X. Zhang, X. Tian, H. Cheng, Joint clearing model of electricity-carbon coupling market based on unified bidding trading pattern, in: 2024 9th Asia Conference on Power and Electrical Engineering (ACPEE), 2024, pp. 311–316. doi: 10.1109/ACPEE60788.2024.10532286.
M. A. Hellalbi, A. Bouabdallah, Elaboration of a generalized mixed model for the wind speed distribution and an assessment of wind energy in Algerian coastal regions and at the capes, Energy Conversion and Management 305 (2024) 118265. doi: https://doi.org/10.1016/j.enconman.2024.118265. URL https://www.sciencedirect.com/science/article/pii/S0196890424002061.
Q. Zhang, B. Lin, The effect of energy efficiency retrofits on radical innovation: From the perspective of supply chain, Energy 311 (2024) 133362. doi: https://doi.org/10.1016/j.energy.2024.133362. URL https://www.sciencedirect.com/science/article/pii/S0360544224031384.
B. Elfarra, R. Yasmeen, W. U. H. Shah, The impact of energy security, energy mix, technological advancement, trade openness, and political stability on energy efficiency: Evidence from Arab countries, Energy 295 (2024) 130963. doi: https://doi.org/10.1016/j.energy.2024.130963. URL https://www.sciencedirect.com/science/article/pii/S0360544224007357.
D. Vatau, S. Musuroi, C. Barbulescu, M. Babescu, PV systems modeling and optimal control, Energy Conversion and Management 84 (2014) 448–456. doi: https://doi.org/10.1016/j.enconman.2014.04.032. URL: https://www.sciencedirect.com/science/article/pii/S0196890414003367.
H. Amiry, M. Benhmida, R. Bendaoud, C. Hajiaj, S. Bounouar, S. Yadir, K. Rais, M. Sidki, Design and implementation of a photovoltaic IV curve tracer: Solar modules characterization under real operating conditions, Energy Conversion and Management 169 (2018) 206–216. doi: https://doi.org/10.1016/j.enconman.2018.05.046. URL https://www.sciencedirect.com/science/article/pii/S0196890418305235.
R. Bendaoud, H. Amiry, M. Benhmida, B. Zohal, S. Yadir, S. Bounouar, C. Hajjaj, E. Baghaz, M. El Aydi, New method for extracting physical parameters of PV generators combining an implemented genetic algorithm and the simulated annealing algorithm, Solar Energy 194 (2019) 239–247. doi: https://doi.org/10.1016/j.solener.2019.10.040. URL https://www.sciencedirect.com/science/article/pii/S0038092X19310345.
M. Yaghoubi, M. Eslami, M. Noroozi, H. Mohammadi, O. Kamari, S. Palani, Modified salp swarm optimization for parameter estimation of solar PV models, IEEE Access 10 (2022) 110181–110194. doi: 10.1109/ACCESS.2022.3213746.
Xu, Z., Wang, B., Xiang, K., Li, X., and Liu, W. (2024). Photovoltaic Maximum Power Point Tracking Technology Based on Power Prediction Algorithm Combined with Variable Step Length Disturbance Observation Method. Distributed Generation & Alternative Energy Journal, 39(04), 851–874. https://doi.org/10.13052/dgaej2156-3306.3948.
Guo, Z., Cai, Y., Huang, S., Jiang, Z., and Guan, K. (2024). Research on Electricity Balance and Measurement Optimization of New Energy Power System Considering Renewable Energy Consumption Mechanism. Distributed Generation & Alternative Energy Journal, 39(03), 483–506. https://doi.org/10.13052/dgaej2156-3306.3935.
Sarma S, S., Sarada, K., Jithendar, P., Maddileti, T., and Kumar, G. N. K. (2023). A Deep Learning Based Enhancing the Power by Reducing the Harmonics in Grid Connected Inverters. Distributed Generation & Alternative Energy Journal, 39(01), 137–164. https://doi.org/10.13052/dgaej2156-3306.3916.
