AI 中文总结
该研究针对多建筑需求侧管理，提出人在回路分布式共识控制方法，引入含非自主领导者的框架，用非线性未知输入滑模观测器应对挑战，设计共识协议，仿真验证其能在需求响应中灵活管理能源、平衡舒适度及提升电网适应性。
AI 中文摘要
本文提出了一种用于多建筑需求侧管理的人在回路分布式共识控制方法。引入了一个新颖框架，其中人在参与需求响应计划的协作建筑的共识控制中充当非自主领导者。设施建筑中的设施经理作为领导者，确定协作建筑在需求响应事件中的参与程度，同时考虑居住者舒适度。协作建筑在无法直接获取设施经理决策的情况下与设施管理建筑对齐响应，针对此提出了非线性未知输入滑模观测器。还引入了人在回路的领导者-跟随者共识协议，仿真结果验证了该方法的有效性。
英文摘要
This paper proposes a human-in-the-loop distributed consensus control approach for demand-side management across multiple buildings. Specifically, a novel framework is introduced in which a human acts as the non-autonomous leader in consensus control of cooperative buildings participating in demand response programs. In this system, the facility manager in the facility building serves as the leader, determining the participation level of cooperative buildings in demand response events while simultaneously considering occupants' comfort. Cooperative buildings align their responses with the facility management building, despite lacking direct access to the facility manager's decisions, which presents a challenge for observer design. To address this, a nonlinear unknown input sliding-mode observer is proposed, tailored for leader-follower multi-agent systems (MASs). Furthermore, a human-in-the-loop leader-follower consensus protocol is introduced, enabling a framework to flexibly manage energy use and balance thermal comfort during demand response events. Simulation results validate the effectiveness of the proposed approach, demonstrating its ability to achieve consensus, maintain system performance, and enhance the adaptability of power grid operations under various demand response scenarios.
Comments10 pages, 8 figures
