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作 者:Ragini Patel Lasantha Meegahapola Liuping Wang Xinghuo Yu Brendan McGrath
机构地区:[1]Royal Melbourne Institute of Technology University,Melbourne,Vic 3000,Australia
出 处:《Journal of Modern Power Systems and Clean Energy》2020年第3期454-463,共10页现代电力系统与清洁能源学报(英文)
摘 要:Newly proposed power system control methodologies combine economic dispatch(ED) and automatic generation control(AGC) to achieve the steady-state cost-optimal solution under stochastic operation conditions. However, a real power system is subjected to continuous demand disturbance and system constraints due to the input saturation, communication delays and unmeasurable feed-forward load disturbances. Therefore, optimizing the dynamic response under practical conditions is equally important. This paper proposes a state constrained distributed model predictive control(SCDMPC)scheme for the optimal frequency regulation of an interconnected power system under actual operation conditions, which exist due to the governor saturation, generation rate constraints(GRCs), communication delays, and unmeasured feed-forward load disturbances. In addition, it proposes an algorithm to handle the solution infeasibility within the SCDMPC scheme, when the input and state constraints are conflicting. The proposed SCDMPC scheme is then tested with numerical studies on a three-area interconnected network. The results show that the proposed scheme gives better control and cost performance for both steady state and dynamic state in comparison to the traditional distributed model predictive control(MPC) schemes.
关 键 词:Automatic generation control CONSTRAINTS distributed control frequency regulation model predictive control(MPC) tie-lines
分 类 号:TM73[电气工程—电力系统及自动化]
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