Power System Control and Stability

Anderson, Paul M.; Fouad, A. A.; Happ, H. H.

doi:10.1109/tsmc.1979.4310158

Cited by 200 publications

(256 citation statements)

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“…This section discusses the impact of integrating wind energy (WE) and PV sources on the transient performance of the modified IEEE 14‐bus distribution network using the ETAP software package and connecting the renewable source at bus‐4. Each synchronous machine is represented by its detailed d ‐ q nonlinear model as in Reference , equipped with IEEE Type‐1 excitation system and is driven by a steam turbine governor system . The WE sources are modeled by the DFIG detailed model (type‐4) .…”

Section: Transient Performance Analysismentioning

confidence: 99%

Assessment of optimal allocation of renewable distributed generator sources in distribution network

Nasef

Osheba

Khattab

et al. 2020

Engineering Reports

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The integration of distributed generators (DGs) into distribution networks in optimal allocation is one of the main issues facing power system engineers to ensure improved stability and economic operation. This article presents a detailed analysis of the impacts of the optimal allocation and the number of DGs on both system steady-state and transient performances of distribution networks. An oscillatory particle swarm optimization (OPSO) algorithm was used to find the optimal allocations of DGs via minimizing various objective functions that deal with Total Transmission Losses, Voltage Regulation, and Power Performance Index. The OPSO is used to optimize these functions as a single and as a multiobjective optimization problem. The effectiveness of the method is demonstrated with the IEEE-14 bus as an example of distribution networks with a 50% increase in system loading. Two penetration scenarios have been considered, the optimal sizes and locations of DGs are obtained, and the results are presented.In addition, the impact of the penetration level of Photovoltaic and Wind Energy sources on transient performance is obtained using detailed nonlinear models of both synchronous machines and DGs sources. The system response is then obtained when the system is subjected to a three-phase short circuit fault for six cycles and the results are presented in a comparative form for different penetration levels. The techniques and results presented in the article form a useful base for power system engineers in planning and operating distribution systems with high penetration levels of RDG sources. K E Y W O R D Sconcentrated and distributed DG (C-DG, D-DG), distributed generation (DG), optimal DG allocations, oscillatory PSO, penetration level.

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Section: Transient Performance Analysismentioning

confidence: 99%

Assessment of optimal allocation of renewable distributed generator sources in distribution network

Nasef

Osheba

Khattab

et al. 2020

Engineering Reports

View full text Add to dashboard Cite

show abstract

“…Continuous monitoring of a system's performance is required because disturbances, such as short circuit faults, frequently occur . Preventive security controls are actions that should be taken to bring a system to a secure state in unstable cases or when there are limit violations on the equipment capacity…”

Section: Introductionmentioning

confidence: 99%

“…This article proposes an algorithm for security control that considers the dynamic aspects of a network, that is, the effects caused by disturbances that result in extreme oscillations on synchronous machine angles (transient stability) . Examples of these disturbances are outage of electrical equipment and short circuits.…”

Section: Introductionmentioning

confidence: 99%

“…To realize DSC, a priori analysis of the transient stability is necessary and can be implemented by the numerical solutions of differential equations that, for example, describe the system movement . Subsequently, evaluation is carried out on the obtained solutions, which, for example, could be the oscillation curves of synchronous machines.…”

Section: Introductionmentioning

confidence: 99%

“…Strictly speaking, according to Lyapunov stability theory (LDM), its application in the study of dynamic systems stability, including nonlinear dynamic systems, is unlimited. The major drawback observed is the necessity to indicate a positive definite Lyapunov function for a given dynamic model, for example, the transient stability study of a highly complex EPS such as the compete model used by Park, such that its time derivative is negative definite or negative semidefinite. From this result, an algorithm should be employed to calculate the stability region for use as an analysis method.…”

Section: Introductionmentioning

confidence: 99%

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Transient stability improvement for electrical power systems based on the impedance change of a transmission system

Silva

Isoda

Tonelli‐Neto

et al. 2020

Int Trans Electr Energ Syst

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This study presents a new preventive control model based on sensitivity analysis that aims to improve the transient stability by changing the configuration of the transmission system. By considering a list of severe contingencies for electrical power systems through security analysis, once exists instability cases in the sense of transient stability, the sensitivity analysis in this article provides the “best localization” and the respective quantification of transmission lines to correct the system's security to a desired security margin. With this preventive control strategy, one can obtain a secure configuration of the power system. Several studies present transmission reinforcement, for example, transmission line inclusion, as an efficient approach. In this study, the system will improve the stability for every short circuit fault considered, increasing the transmission capacity. This detail can be illustrated using a simple transient stability method, namely, the equal‐area criterion. Considering adaptations and some simplifications, the results obtained in this work can be used for FACTS devices. The stability analysis is conducted using the security margin concept determined by the direct Lyapunov energy method; it is a support tool that aids planners and operators of electric power systems. In addition, a procedure called security margin displacement effort is presented in order to infer the numerical validity of the sensitivity model. The method is tested with a power system composed of 45 buses, 73 transmission lines, and 10 synchronous machines.

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Generalization of transient stability solution using neural network theory

Ikenono

Iwamoto

1992

Electrical Engineering Japan

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This paper presents a generalized online transient stability solution technique using the backpropagation method of the neural network theory. The proposed solution technique can be used for general generator models, including controllers such as AVRs and governors, that have been difficult for the energy function method to handle. The proposed method also considers alterations of network configurations and changes of the number of operating generators. Further, the relationship between input data and effects on the results of the neural network is considered.

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Power System Control and Stability

Cited by 200 publications

References 0 publications

Assessment of optimal allocation of renewable distributed generator sources in distribution network

Assessment of optimal allocation of renewable distributed generator sources in distribution network

Transient stability improvement for electrical power systems based on the impedance change of a transmission system

Generalization of transient stability solution using neural network theory

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