对于光伏集成微电网的游戏化需求响应的多目标优化:一种新的NSGA-III框架,具有行为适应建模
Yao Duan1, Chong Gao2, Junxiao Zhang2
1Guangdong Power Grid Co., Ltd., CSG, Guangzhou, 510080, China. duanyao326@sohu.com.
Scientific reports
|October 1, 2025
概括
本研究介绍了光伏 (PV) 微电网的游戏化需求响应框架. 它通过整合行为建模和多目标优化来增强用户参与度和优化能源使用.
科学领域:
- 能源系统工程 能源系统工程
- 可再生能源技术可再生能源技术
- 行为经济学是一种行为经济学.
背景情况:
- 微电网中的住宅光伏 (PV) 系统增加了可再生能源的自我消费,但由于太阳能间歇性和供需不匹配而面临挑战.
- 传统的需求响应 (DR) 程序因有限的财务激励和动态定价效率而难以吸引用户参与.
研究的目的:
- 为光伏集成微电网提出一个新的游戏化驱动的需求响应框架.
- 为了同时优化运营成本,可再生能源利用,用户参与和负载转移舒适性.
- 整合行为适应建模,以实现基于行为的微电网调度方法.
主要方法:
- 制定了一个多目标优化问题,以平衡竞争目标.
- 使用非主导排序遗传算法III (NSGA-III) 来解决优化问题.
- 综合行为适应建模,以捕捉家庭对游戏化激励措施的动态反应.
主要成果:
- 拟议的框架有效优化了运营成本,光伏自用和用户参与.
- 与传统的DR机制相比,证明了更好的负载转移舒适性保护.
- 成功地将不断变化的用户行为,动态激励和社会影响纳入DR战略.
结论:
- 游戏化驱动的需求响应,结合行为建模,为光伏微电网的需求侧灵活性提供了更有效的方法.
- 这一框架增强了用户参与度,并通过金融和心理激励的组合优化了微电网运营.
- 这项研究突出了基于行为基础的战略的潜力,以实现可持续和高效的微电网管理.
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