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基于信息物理系统融合的广域互联电网阻尼控制策略 被引量:9

Wide-area damping control strategy of interconnected power grid based on cyber physical system
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摘要 随着信息通信技术在电网中的广泛应用,紧密融合电网与信息通信的电力信息物理系统(Cyber-Physical Power System,CPPS)为广域互联电网间的低频振荡抑制提供了便利。在电力系统海量运行数据的基础上,提出CPPS广域阻尼控制(Wide-Area Damping Control,WADC)策略。其采用可变遗忘因子最小二乘法来辨识物理系统模型,并基于此模型由广义预测控制算法(Generalized Predictive Control,GPC)生成决策控制指令。进一步地,建立通信补偿机制来补偿信息系统延时、丢包、乱序对物理系统运行的不利影响。通过Matlab和Visual Studio建立CPPS联合仿真平台来分析电力系统和信息系统的交互影响。以16机5区系统为例进行仿真,结果表明建立的CPPS联合仿真模型能够有效地模拟物理系统与信息系统的交互影响。所提出的CPPS广域阻尼控制策略,在信息系统的不利影响下,能够有效抑制电力系统低频振荡。 With the widely application of information and communication technology in the grid, the Cyber-Physical Power System (CPPS) tightly integrating power grid and cyber communication will facilitate the low frequency oscillation Control of wide-area power system. Based on the mass data of power system, this paper proposes a Wide-Area Damping Control (WADC) strategy of CPPS. It first uses variable forgetting factor least square method to identify the physical system model online. Then a Generalized Predictive Control (GPC) algorithm is employed to generate predict instructions based on the identified model. At the same time, a communication compensation mechanism is built to overcome the adverse impacts of cyber system, such as delay, packet loss, and out-of-order. Later, a CPPS co-simulation model combined Matlab with Visual Studio is established to analyze the interaction between power system and cyber system. At last, simulation studies undertaken on a 16-machine 5-area power system show that the proposed co-simulation model can emulate the interaction in CPPS. Also, the proposed CPPS controller can damp inter-area oscillations effectively, even under the negative impact of information system.
出处 《电力系统保护与控制》 EI CSCD 北大核心 2017年第21期35-42,共8页 Power System Protection and Control
基金 国家自然科学基金(61233008 51520105011)~~
关键词 电力信息物理系统 广域阻尼控制 广义预测控制 通信补偿机制 联合仿真 cyber-physical power system wide-area damping control generalized predictive control communicationcompensation mechanism co-simulation
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