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Open Access Article

Journal of Electrical Engineering and Automation. 2025; 4: (2) ; 27-30 ; DOI: 10.12208/j.jeea.20250066.

Power allocation and optimal control technology in the collaborative scheduling of multi-energy systems
多能源系统协同调度中的电力分配与优化控制技术

作者: 蓝曹璐 *

丽水宏盛电力有限公司 浙江丽水

*通讯作者: 蓝曹璐,单位:丽水宏盛电力有限公司 浙江丽水;

发布时间: 2025-02-27 总浏览量: 118

摘要

多能源系统协同调度中的电力分配与优化控制技术旨在通过整合不同类型的能源资源,提升能源系统的整体效率和稳定性。本研究聚焦于如何利用先进的算法和技术实现多种能源形式的有效结合与管理,以达到节能减排的目的。首先分析了当前多能源系统中存在的主要挑战,如能源波动性、供需不匹配等问题。然后探讨了几种有效的电力分配策略和优化控制方法,包括基于人工智能的预测模型、智能电网技术和分布式能源系统的应用等。通过科学合理的电力分配与优化控制,可以显著提高能源利用率,减少环境污染,促进可持续发展。

关键词: 多能源系统;协同调度;电力分配;优化控制;智能电网

Abstract

The power allocation and optimal control technology in the collaborative scheduling of multi-energy systems aims to enhance the overall efficiency and stability of the energy system by integrating different types of energy resources. This study focuses on how to use advanced algorithms and technologies to achieve the effective combination and management of various forms of energy, with the goal of energy conservation and emission reduction. Firstly, the main challenges existing in the current multi-energy systems are analyzed, such as energy volatility, mismatch between supply and demand, and other issues. Then, several effective power allocation strategies and optimal control methods are discussed, including the application of artificial intelligence-based prediction models, smart grid technologies, and distributed energy systems. Through scientific and reasonable power allocation and optimal control, the energy utilization rate can be significantly improved, environmental pollution can be reduced, and sustainable development can be promoted.

Key words: Multi-Energy system; Collaborative scheduling; Power allocation; Optimal control; Smart grid

参考文献 References

[1] 白一飞,孟德香,赵淼,等.数据中心电力能源系统的协同匹配方法研究[J].电信工程技术与标准化,2025,38(04): 13-19+25.

[2] 牛明博,庞涵语,吕友军,等.计及碳捕集和储氢容量协同优化的综合能源系统低碳调度[J/OL].西安交通大学学报,1-10[2025-04-26].h

[3] 吴栋,靳寅兴,李志立,等.双层碳交易机制下的综合能源系统源网荷储协同优化调度研究[J].电气自动化,2025, 47(02):15-18+22.

[4] 周天烁,王丹,贾宏杰.面向综合能源系统的量质协同状态估计方法[J].电力自动化设备,2025,45(04):133-142.

[5] 张浩,陆海,罗恩博,等.考虑资源灵活性的多区域综合能源系统协同调度[J].电网与清洁能源,2024,40(09):148-154.

[6] 钟佳琪.含氢综合能源系统多元负荷预测与协同调度[D].电子科技大学,2024.

[7] 赵佩尧,李正烁,高晗,等.电-气-热综合能源系统协同调度优化研究综述[J].山东电力技术,2024,51(04):1-11.

[8] 孙名轶.5G基站与区域综合能源系统的水-能耦合与协同调度[D].重庆大学,2022.

引用本文

蓝曹璐, 多能源系统协同调度中的电力分配与优化控制技术[J]. 电气工程与自动化, 2025; 4: (2) : 27-30.