Phasor measurement units, WAMS, and their applications in protection and control of power systems

Phadke, A.G.; Bi, Tianshu

doi:10.1007/s40565-018-0423-3

Cited by 145 publications

(61 citation statements)

References 14 publications

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“…Currently, there are noticeable research activities in investigating the ability of WAMS in providing new tools for online assessment of power system reliability, monitoring, and security [172][173][174][175]. The main point that can be raised in this topic is improving the dynamic and static monitoring of power systems during the disturbance and maloperation situations.…”

Section: Future Research Directionsmentioning

confidence: 99%

A Survey on Power System Blackout and Cascading Events: Research Motivations and Challenges

et al. 2019

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Power systems are the most complex systems and have great importance in modern life. They have direct impacts on the modernization, economic, political and social aspects. To operate such systems in a stable mode, several control and protection techniques are required. However, modern systems are equipped with several protection schemes with the aim of avoiding the unpredicted events and power outages, power systems are still encountering emergency and mal-operation situations. The most severe emergencies put the whole or at least a part of the system in danger. If the emergency is not well managed, the power system is likely to have cascading failures that might lead to a blackout. Due to the consequences, many countries around the world have research and expert teams who work to avoid blackouts on their systems. In this paper, a comprehensive review on the major blackouts and cascading events that have occurred in the last decade are introduced. A particular focus is given on the US power system outages and their causes since it is one of the leading power producers in the world and it is also due to the ready availability of data for the past events. The paper also highlights the root causes of different blackouts around the globe. Furthermore, blackout and cascading analysis methods and the consequences of blackouts are surveyed. Moreover, the challenges in the existing protective schemes and research gaps in the topic of power system blackout and cascading events are marked out. Research directions and issues to be considered in future power system blackout studies are also proposed.

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Section: Future Research Directionsmentioning

confidence: 99%

A Survey on Power System Blackout and Cascading Events: Research Motivations and Challenges

et al. 2019

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“…In actual calculations, in order to verify the invariance of Δθmn/Pmn, the median of the first 1/10 of the data in time window (DTW) M1/10= median[Δθmn(1)/Pmn(1), Δθmn(2)/ Pmn (2), …, Δθmn(1/10*DTW)/ Pmn(1/10*DTW)] is set as the center of the normal domain, with M1/10+σh', M1/10-σh' as the upper and lower limits, forming the normal domain of the data. Furthermore, due to accidental excessive random noise, the value of Δθmn/Pmn may exceed the normal domain randomly, which would lead to invalid judgment.…”

Section: B δθMn/pmn Invariance Determinationmentioning

confidence: 99%

“…Synchronous phasor measurement unit (PMU) and Wide Area Measurement System(WAMS), which can provide amplitude and phase angle measurements with highfrequency (up to 100Hz) and low delay [1] , has become an important means of dynamic monitoring in power systems. Based on the PMU/WAMS system, a series of advanced applications have been proposed [2][3] , such as state estimation [4] , parameter identification [5] , oscillation monitoring, stability monitoring, wide area protection [6][7][8][9] , fault detection [10] and location [11] etc.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of PMU Phase Angle Difference Induced by Frequency Deviation of Crystal Oscillator and its Detection Method

et al. 2020

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Phasor measurement unit (PMU), which could provide high-frequency phasors including the amplitude and phase angle synchronized with Global Positioning System (GPS)/BeiDou Navigation Satellite System (BDS) signal, plays a vital role in dynamic monitoring of power systems. However, if the GPS/BDS signal could not be received, the time of PMU, which depends on the crystal oscillator (CO), would cause measurement deviation due to frequency shifts of CO, and then the PMU data would engage deviations and deteriorate the relevant applications. In recognizing the above problems, this paper proposes a method to detect the frequency deviation of the crystal oscillator (FDCO) based on the correlation coefficient, according to its relation with the characteristic of the voltage phase angle difference(VPAD) between the two ends of the line. In detail, firstly, the quality of the VPAD of PMU between the two ends of the line is analyzed and the related problem is stated. Secondly, the characteristics of PMU data, when FDCO exists, are derived and analyzed, especially the VPAD between the line, and the suitability of the data for detecting the FDCO is discussed. Thirdly, the ideas and specific methods of detecting the FDCO in case of malfunction of GPS/BDS signal are proposed. Furthermore, the validity of the proposed method with simulation data and modified measured data is presented. Finally, the conjectures on the reasons for the approximately constant VPAD deviation in the previous section are discussed.

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“…As phasor measurement units and advanced communication facilities are widely used in power systems, it is possible to develop a fast-response and robust tool for dynamic state estimation. At present, the dynamic state estimation of land power system is mostly applied for the AC system and the optimal estimation of its linear ordinary differential equation [6] - [8]. In this system, when the load suddenly changes or the system is short-circuit, the dynamic change is small and slow compared with the scale of system capacity.…”

Section: Introductionmentioning

confidence: 99%

Dynamic State Estimation of Medium-voltage DC Integrated Power System with Pulse Load

Xiao

Wang

Hao

et al. 2020

Journal of Modern Power Systems and Clean Energy

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The dynamic characteristic evaluation is an important prerequisite for safe and reliable operation of the mediumvoltage DC integrated power system (MIPS), and the dynamic state estimation is an essential technical approach to the evaluation. Unlike the electromechanical transient process in a traditional power system, periodic change in pulse load of the MIPS is an electromagnetic transient process. As the system state suddenly changes in the range of a smaller time constant, it is difficult to estimate the dynamic state due to periodic disturbance. This paper presents a dynamic mathematical model of the MIPS according to the network structure and control strategy, thereby overcoming the restrictions of algebraic variables on the estimation and developing a dynamic state estimation method based on the extended Kalman filter. Using the method of adding fictitious process noise, it is possible to solve the problem that the linearized algorithm of the MIPS model is less reliable when an abrupt change occurs in the pulse load. Therefore, the accuracy of the dynamic state estimation and the stability of the filter can be improved under the periodic disturbance of pulse load. The simulation and experimental results confirm that the proposed model and method are feasible and effective.

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Phasor measurement units, WAMS, and their applications in protection and control of power systems

Cited by 145 publications

References 14 publications

A Survey on Power System Blackout and Cascading Events: Research Motivations and Challenges

A Survey on Power System Blackout and Cascading Events: Research Motivations and Challenges

Characteristics of PMU Phase Angle Difference Induced by Frequency Deviation of Crystal Oscillator and its Detection Method

Dynamic State Estimation of Medium-voltage DC Integrated Power System with Pulse Load

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