Author(s)

Yunyan Li ¹, Mengyu Liu ¹

Affiliation(s)

¹ Department of Economic Management, North China Electric Power University, Baoding, 071003, China

Corresponding Author

Yunyan Li

ABSTRACT

With the rapid development of new energy, the traditional power system faces many challenges, and the multi-energy complementary optimal scheduling strategy has become the key to solve these problems. This article aims to discuss the design, application and prospect of multi-energy complementary optimal scheduling strategy in new energy power system (NEPS). In this article, the design principles and objectives of multi-energy complementary optimization scheduling strategy are put forward, and the specific objectives such as improving the utilization rate of new energy and reducing the operating cost of the system are defined. Based on the above, this article constructs a strategy framework and process, covering energy forecasting, scheduling planning, real-time scheduling adjustment and other links, and describes the specific process of strategy implementation. At the same time, this article introduces the key technologies involved in the strategy design, including energy forecasting technology, optimization algorithm technology, intelligent control technology and so on. The reliability and environmental protection of power system can be ensured by implementing the multi-energy complementary optimal dispatching strategy. This article suggests that this strategy should be fully considered and actively applied in future energy planning and power system construction.

KEYWORDS

New Energy Power System; Multi-Energy Complementary; Optimize the Scheduling Strategy; Energy Utilization Rate; Running Cost

CITE THIS PAPER

Yunyan Li, Mengyu Liu, Optimal Scheduling Strategy of Multi-energy Complementary in New Energy Power System. Frontiers in Power and Energy Systems (2025) Vol. 4: 43-48. DOI: http://dx.doi.org/10.23977/fpes.2025.040106.

REFERENCES

[1] Ma Ningjia, Xie Xiaorong, Sun Yixian, et al. Analysis of the Spatiotemporal Distribution Characteristics of the Frequency in New Energy Power Systems [J]. High Voltage Engineering, 2024, 50(1): 406-413.
[2] Wu Linlin, Chen Can, Hu Junjie, et al. Application of User-side Resources and Key Technologies to Support the Flexibility Requirements of New Energy Power Systems [J]. Power System Technology, 2024, 48(4): 1435-1444.
[3] Han Pingping, Guo Jialin, Dong Wei, et al. Partitioning Strategy of Power Systems with New Energy Based on the System Clustering Method [J]. Proceedings of the CSU-EPSA, 2024, 36(5): 114-120.
[4] Wang Nanqin, Liu Zechen, Zhang Wei, et al. Multi-stage AVC Optimization Strategy for Systems with New Energy Based on Model Predictive Control [J]. Power System and Clean Energy, 2023, 39(7): 118-126.
[5] Sun Dayan, Geng Jian, Yang Shengchun, et al. Coordinated Optimal Operation of Coal-fired Power, New Energy and Other Diverse Resources and Its Challenges in the Environment of a New-type Power System [J]. Power System Technology, 2024, 48(8): 3105-3113.
[6] Yao Zongjun, Zhang Tieyan, Zhao Yan. Planning Method of Mobile Energy Hubs Considering the Uncertainty of Urban Multi-energy Systems [J]. High Voltage Engineering, 2024, 50(6): 2452-2466.
[7] Guo Yi, Ming Bo, Huang Qiang, et al. Day-ahead Robust Optimal Dispatch of a Complementary System of Hydropower, Wind Power, Photovoltaic Power and Energy Storage Considering the Smoothness of Transmission Power [J]. Transactions of China Electrotechnical Society, 2023, 38(9): 2350-2363.
[8] Wang Junchai, Lu Youlin, Cheng Fashun, et al. Optimal Capacity Allocation of a Large-scale Complementary Base of Wind, Solar and Energy Storage to Balance the Interests of the Power Source and Grid Sides [J]. Power System and Clean Energy, 2023, 39(12): 61-71.
[9] Jiang Haoyu, Qi Lei, Sun Xiaofeng, et al. Optimal Allocation Method of the Maximum Capacity of a Multi-feed New Energy Cluster Based on Sensitivity Collaboration [J]. Automation of Electric Power Systems, 2024, 48(1): 88-99.
[10] Wu Jing, Tu Min, Yan Xinping, et al. Analysis of the Application and Development of New Energy Technologies in Marine Ports of China [J]. Strategic Study of CAE, 2024, 26(4): 234-244.
[11] Liao Chaohao, Li Gen. Research on the Optimal Capacity Allocation of Wind, Solar and Energy Storage in a Multi-energy Complementary Energy Base Based on the Existing Thermal Power Capacity [J]. Water Power, 2024, 50(9): 74-81. 

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