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Volume 14
Issue 24
10.3390/electronics14244896
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Optimal Scheduling of Hydro–Thermal–Wind–Solar–Pumped Storage Multi-Energy Complementary Systems Under Carbon-Emission Constraints: A Coordinated Model and SVBABC Algorithm

by
Youping Li
1,2,
Xiaojun Hua
1,2,
Lei Wang
1,2,
Rui Lv
1,2,
Changhao Ouyang
2,3,
Fangqing Zhang
2,3,* and
Fang Yuan
2,3
1
China Yangtze Power Co., Ltd., Yichang 443000, China
2
Laboratory of Hydro-Wind-Solar Multi-Energy Control Coordination, Wuhan 430000, China
3
School of Power and Mechanical Engineering, Wuhan University, Wuhan 430000, China
*
Author to whom correspondence should be addressed.
Electronics 2025, 14(24), 4896; https://doi.org/10.3390/electronics14244896
Submission received: 22 October 2025 / Revised: 9 December 2025 / Accepted: 10 December 2025 / Published: 12 December 2025
Versions Notes

Abstract

This paper focuses on power system scheduling problems, aiming to enhance energy utilization efficiency through multi-energy complementarity. To support the “dual-carbon” strategic goals, this paper proposes a coordinated dispatch model for hydro–thermal–wind–solar–pumped storage integrated energy systems, aiming to enhance energy utilization efficiency and system flexibility while reducing carbon emissions. To address issues such as premature convergence and low computational efficiency in traditional optimization algorithms for multi-energy complementary dispatch, an improved Artificial Bee Colony algorithm named Super-quality Variation Burst Artificial Bee Colony (SVBABC) is developed, which incorporates elite solution guidance and an explosion variation mechanism. Simulation results based on a regional practical power system demonstrate that compared to classical methods (e.g., Artificial Bee Colony, Fireworks Algorithm, and Ant Lion Optimizer), SVBABC exhibits significant advantages in global optimization capability and convergence stability. This study provides an innovative solution for efficient dispatch of multi-energy complementary systems. Through synergistic regulation of pumped storage and thermal power, the accommodation capability of renewable energy is effectively enhanced, thereby providing critical technical support for the development of new power systems.
Keywords: hydro–thermal–wind–solar–pumped storage; Artificial Bee Colony algorithm; explosion variation operator; improved Artificial Bee Colony algorithm hydro–thermal–wind–solar–pumped storage; Artificial Bee Colony algorithm; explosion variation operator; improved Artificial Bee Colony algorithm

Share and Cite

MDPI and ACS Style

Li, Y.; Hua, X.; Wang, L.; Lv, R.; Ouyang, C.; Zhang, F.; Yuan, F. Optimal Scheduling of Hydro–Thermal–Wind–Solar–Pumped Storage Multi-Energy Complementary Systems Under Carbon-Emission Constraints: A Coordinated Model and SVBABC Algorithm. Electronics 2025, 14, 4896. https://doi.org/10.3390/electronics14244896

AMA Style

Li Y, Hua X, Wang L, Lv R, Ouyang C, Zhang F, Yuan F. Optimal Scheduling of Hydro–Thermal–Wind–Solar–Pumped Storage Multi-Energy Complementary Systems Under Carbon-Emission Constraints: A Coordinated Model and SVBABC Algorithm. Electronics. 2025; 14(24):4896. https://doi.org/10.3390/electronics14244896

Chicago/Turabian Style

Li, Youping, Xiaojun Hua, Lei Wang, Rui Lv, Changhao Ouyang, Fangqing Zhang, and Fang Yuan. 2025. "Optimal Scheduling of Hydro–Thermal–Wind–Solar–Pumped Storage Multi-Energy Complementary Systems Under Carbon-Emission Constraints: A Coordinated Model and SVBABC Algorithm" Electronics 14, no. 24: 4896. https://doi.org/10.3390/electronics14244896

APA Style

Li, Y., Hua, X., Wang, L., Lv, R., Ouyang, C., Zhang, F., & Yuan, F. (2025). Optimal Scheduling of Hydro–Thermal–Wind–Solar–Pumped Storage Multi-Energy Complementary Systems Under Carbon-Emission Constraints: A Coordinated Model and SVBABC Algorithm. Electronics, 14(24), 4896. https://doi.org/10.3390/electronics14244896

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