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On decentralized control of small loads and energy rebound within primary frequency control

机译:一次频率控制内的小负荷分散控制和能量回弹

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Decentralized decision making is a promising candidate for cost-effective participation of small electric loads to power system operations. In such setup, individual loads take control decisions based on local information. Local control laws are designed to synchronize individual efforts. Large loads groups may thereby contribute to system stability in a predictable way. In this paper, Energy Constrained Loads (e.g., battery charging, night storage heater) participates in primary control in a communication-free setup. Three different controllers and associated actions are considered: (1) delay at start, (2) regular on/off switching, or (3) proportional power modulation. Control laws are respectively based on discrete thresholds, probabilistic algorithms and proportional control. Two linear aggregate models are introduced to render large-scale simulations tractable. They accurately reproduce the group's frequency response in the three proposed control strategies. Long-term system simulations are then run to assess the group's response performance.
机译:分散决策是使小型电力负载以经济有效的方式参与电力系统运营的有希望的候选人。在这种设置中,各个负载将根据本地信息做出控制决策。地方控制法律旨在同步个人的努力。大负载组因此可以以可预测的方式有助于系统的稳定性。在本文中,受能量限制的负载(例如电池充电,夜间储藏加热器)参与了无通信设置中的主要控制。考虑了三种不同的控制器及其相关的动作:(1)启动延迟,(2)常规开/关切换或(3)比例功率调制。控制律分别基于离散阈值,概率算法和比例控制。引入了两个线性集合模型以使大规模仿真变得容易处理。他们在三种建议的控制策略中准确地再现了该组的频率响应。然后进行长期系统仿真,以评估小组的响应表现。

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