天然气双层需求响应策略,考虑动态定价下的激励和复杂性
Huibin Zeng1, Jie Zhou2, Hongbin Dai3
1School of Economics and Management, Chongqing Normal University, Chongqing, 401331, China.
Scientific reports
|July 24, 2025
概括
本研究引入了使用动态天然气定价和激励措施的双层需求响应 (DR) 模型. 它优化了天然气消耗,提高了系统稳定性和用户利益.
科学领域:
- 能源系统工程 能源系统工程
- 优化算法 优化算法
- 计算经济学计算经济学
背景情况:
- 全球能源需求的增加和碳减排目标增加了天然气的突出地位.
- 平衡天然气供需需要先进的系统稳定战略.
- 需求响应 (DR) 对于管理负载波动和优化资源配置至关重要.
研究的目的:
- 提出一种新的双层需求响应模型,整合基于价格和基于激励的战略.
- 通过降低峰值负载和填充山谷来优化天然气消费模式.
- 提高自然气系统中DR策略的灵活性和适用性.
主要方法:
- 一个双层优化模型,结合动态天然气定价和用户激励.
- 多种群组粒子群优化 (MPEPSO) 和深度Q网络 (DQN) 用于解决模型.
- 频谱聚类算法用于分类负载峰值和低谷时期.
主要成果:
- 拟议的DR战略有效地平滑了天然气负载波动.
- 供需不平衡得到缓解,供应商的收入得到保障.
- 用户的经济效益得到最大化,表明DR灵活性得到增强.
结论:
- 集成的双层DR模型为不同类型的用户和消费时期提供了定制的策略.
- 这种方法提高了天然气系统的稳定性和供应商和用户的经济效率.
- 这项研究有助于通过先进的需求侧干预来优化清洁能源资源管理.
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