含附加频率控制的风电机组可响应电力系统的动态行为,同时也对系统的动态特性存在影响。首先基于惯性中心等效理论(center of inertia,COI),分析了大规模含附加频率控制系统双馈风电机组接入电网后,系统暂态特性的变化,并推导了惯性中...含附加频率控制的风电机组可响应电力系统的动态行为,同时也对系统的动态特性存在影响。首先基于惯性中心等效理论(center of inertia,COI),分析了大规模含附加频率控制系统双馈风电机组接入电网后,系统暂态特性的变化,并推导了惯性中心同步机转子运动方程;其次基于双馈风电机组自身运行特性,分析了其运行极限与运行模式对响应系统动态行为能力的影响;将上述分析结合得出含附加频率控制系统双馈风机对系统暂态稳定性影响的关键因素。最后在电力系统综合程序PSASP中,搭建接入双馈风机的IEEE-3机9节点电力系统模型,验证上述结论的正确性。展开更多
In the world, recent increased disturbances, congestion management problems, and increases of complexity in operating power systems have brought the need for integrations and improvements of power systems. Advanced ap...In the world, recent increased disturbances, congestion management problems, and increases of complexity in operating power systems have brought the need for integrations and improvements of power systems. Advanced applications in WAMPAC （wide area monitoring, protection, and control） systems provide a cost effective solution to improve system planning, operation, maintenance, and energy trading. Synchronized measurement technology and the application are an important element of WAMPAC. In addition, PMUs （phasor measurement units） are the most accurate and advanced time-synchronized technology available for WAMPAC application. Therefore, the original measurement system of PMUs has been constructed in Japan. This paper describes the estimation method of a center of inertia frequency by applying actual measurement data. The application of this method enables us to extract power system oscillations from measurement data appropriately. Moreover, this proposed method will help to the clarification of power system dynamics and this application will make it possible to realize the monitoring of power system oscillations associated with the power system stability.展开更多
This paper presents an Euler discretized inertial delayed neuron model, and its bifurcation dynamical behaviors are discussed. By using the associated characteristic model, center manifold theorem and the normal form ...This paper presents an Euler discretized inertial delayed neuron model, and its bifurcation dynamical behaviors are discussed. By using the associated characteristic model, center manifold theorem and the normal form method, it is shown that the model not only undergoes codimension one(flip, Neimark-Sacker) bifurcation, but also undergoes cusp and resonance bifurcation(1:1 and 1:2) of codimension two. Further, it is found that the parity of delay has some effect on bifurcation behaviors. Finally, some numerical simulations are given to support the analytic results and explore complex dynamics, such as periodic orbits near homoclinic orbits, quasiperiodic orbits, and chaotic orbits.展开更多
文摘含附加频率控制的风电机组可响应电力系统的动态行为,同时也对系统的动态特性存在影响。首先基于惯性中心等效理论(center of inertia,COI),分析了大规模含附加频率控制系统双馈风电机组接入电网后,系统暂态特性的变化,并推导了惯性中心同步机转子运动方程;其次基于双馈风电机组自身运行特性,分析了其运行极限与运行模式对响应系统动态行为能力的影响;将上述分析结合得出含附加频率控制系统双馈风机对系统暂态稳定性影响的关键因素。最后在电力系统综合程序PSASP中,搭建接入双馈风机的IEEE-3机9节点电力系统模型,验证上述结论的正确性。
文摘In the world, recent increased disturbances, congestion management problems, and increases of complexity in operating power systems have brought the need for integrations and improvements of power systems. Advanced applications in WAMPAC （wide area monitoring, protection, and control） systems provide a cost effective solution to improve system planning, operation, maintenance, and energy trading. Synchronized measurement technology and the application are an important element of WAMPAC. In addition, PMUs （phasor measurement units） are the most accurate and advanced time-synchronized technology available for WAMPAC application. Therefore, the original measurement system of PMUs has been constructed in Japan. This paper describes the estimation method of a center of inertia frequency by applying actual measurement data. The application of this method enables us to extract power system oscillations from measurement data appropriately. Moreover, this proposed method will help to the clarification of power system dynamics and this application will make it possible to realize the monitoring of power system oscillations associated with the power system stability.
基金supported by the National Priorities Research Program through the Qatar National Research Funda member of Qatar Foundation(Grant No.NPRP 4-1162-1-181)+2 种基金the Natural Science Foundation of China(Grant Nos.6140331361374078&61375102)the Natural Science Foundation Project of Chongqing CSTC(Grant No.cstc2014jcyj A40014)
文摘This paper presents an Euler discretized inertial delayed neuron model, and its bifurcation dynamical behaviors are discussed. By using the associated characteristic model, center manifold theorem and the normal form method, it is shown that the model not only undergoes codimension one(flip, Neimark-Sacker) bifurcation, but also undergoes cusp and resonance bifurcation(1:1 and 1:2) of codimension two. Further, it is found that the parity of delay has some effect on bifurcation behaviors. Finally, some numerical simulations are given to support the analytic results and explore complex dynamics, such as periodic orbits near homoclinic orbits, quasiperiodic orbits, and chaotic orbits.
