在考虑利驱动程度的能源社区中,信息交互和最佳调度方法适用于前期消费者
Hong Zhang1, Haiyun Dong1, Guanmu Wang1
1Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Northeast Electric Power University, Jilin, 132012, China.
Scientific reports
|November 29, 2025
概括
本研究介绍了一种前期消费者贸易模式,优化电力交易以节省成本和增加清洁能源使用. 它通过考虑前期消费者的利动机和邻国信息交换来提高电网效率.
科学领域:
- 电气工程 电气工程
- 能源系统 能源系统
- 优化理论 优化理论
背景情况:
- 能源互联网和分布式能源资源正在推动消费者转变为前进消费者.
- 电力系统的现代化需要新的能源交易和电网管理模式.
研究的目的:
- 开发一种潜在消费者贸易模式,包括以利为导向的行为和需求紧迫性.
- 优化能源调度,以最大限度地降低潜在消费者的运营成本.
- 通过分布式优化,提高清洁能源利用率和电网效率.
主要方法:
- 基于韦伯-费克纳定律的利驱动机制来量化交易决策.
- 一种通过信息交换来确定交易权力的分布式收优化方法.
- 使用交替方向乘法 (ADMM) 解决的最佳调度模型.
主要成果:
- 社区总运营成本减少了17.1%.
- 在主网电力采购中减少高达41.2%.
- 该ADMM算法证明了快速收 (大约. 10个代) 的经济效率.
结论:
- 拟议的模型有效地降低了成本,并提高了未来消费者社区的清洁能源使用.
- 信息交互和以利为导向的机制对于优化分布式能源系统至关重要.
- 该模型在计算上适用于现代电网中的实际工程应用.
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