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Proceedings ArticleDOI

A real-time dynamic equivalent solution for large interconnected power systems

TLDR
In this paper, a parallel dynamic equivalent model composed of an equivalent generator and an equivalent synthesis load was put forward, in which the equivalent generator uses a 3rd order electromechanical transient model with damping while the equivalent synthesize load uses a static characteristic model considering both voltage and frequency.
Abstract
Dynamic equivalent has been a basic approach for analysis and computation of large scale-increasing interconnected power systems in China. Security defense of power systems and real-time monitoring of system states require more rapid and effective computation of large power grids. This paper introduces a solution for real-time dynamic equivalent of large multi-area power systems. It is based on real-time measurement data from Wide Area Measurement System and parameter identification. A parallel dynamic equivalent model composed of an equivalent generator and an equivalent synthesis load was put forward, in which the equivalent generator uses a 3rd order electromechanical transient model with damping while the equivalent synthesis load uses a static characteristic model considering both voltage and frequency. Identifiability analysis was carried out for this nonlinear dynamic equivalent model. In order to apply Laplace transformation-transfer function method, the model was firstly linearized. Particle Swarm Optimization algorithm was utilized for parameter identification of the dynamic equivalent model. For AC power systems, this model is verified on CEPRI 8-machine 36-bus example system. Load model and the style of disturbance are two remarkable factors that relate to the stability of the whole power system, which are fully considered in this paper. The simulation results show that the dynamic equivalent model can reflect the dynamic responses and the transient stability of the original system, no matter which is transient stable or unstable, angle unstable or voltage stable. When we change the load model in the original system, the static characteristic model with both voltage and frequency factors can throughout represents the dynamic behavior of the original system, which confirms its robustness of this dynamic equivalent model. All the simulation work was performed on PSASP.

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Citations
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Proceedings ArticleDOI

Identification of dynamic equivalents based on heuristic optimization for smart grid applications

TL;DR: A novel heuristic optimization algorithm, namely, the Mean-Variance Mapping Optimization (MVMO), which provides excellent performance in terms of convergence behavior and accuracy of the identified parameters.
Journal ArticleDOI

Real-Time Transient Stability Assessment Using Dynamic Equivalents and Nonlinear Observers

TL;DR: The recommended RTSA index demonstrates to be a clear measure of the distance to instability and prevents economic losses due to blackouts and cascading system trips.
Journal ArticleDOI

Heuristic optimization based approach for identification of power system dynamic equivalents

TL;DR: Numerical tests performed on the Ecuadorian–Colombian interconnected system, including performance comparisons with other heuristic optimization tools, support the potential of the proposal to provide accurate estimates within a fast convergence rate.
Journal ArticleDOI

Precise equivalent model of small hydro generator cluster and its parameter identification using improved Grey Wolf optimiser

TL;DR: In this paper, a precise equivalent model of small hydro generator cluster (SHGC) is proposed, where the fifth-order model of generator is adopted as the equivalent generator model, the excitation system is simplified into proportional feedback control model and exponential load model is used as equivalent load model.
Journal ArticleDOI

Dynamic Equivalents by Modal Decomposition of Tie-Line Active Power Flows

TL;DR: Results demonstrate a reduction in the computational burden and the computing time associated with transient stability studies for the preserved system, retaining its steady-state and dynamic conditions.
References
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Journal ArticleDOI

Slow coherency based network partitioning including load buses

TL;DR: In this article, a slow-coherency based network partitioning technique which groups generators and load buses simultaneously into several coherent areas is presented, which is useful for system reduction and identification of weak links for calculations involving network decouplings.
Journal ArticleDOI

Dynamic equivalent modeling of large power systems using structure preservation technique

TL;DR: The proposed method is based on the preservation of the coefficients matrices structure in the time domain representation and requires much less computation effort and is suitable for online studies compared to other methods, which use mainly the iterative process in frequency domain to derive equivalent parameters.
Journal ArticleDOI

Dynamic equivalents of power systems with online measurements. Part 1: Theory

TL;DR: In this article, a dynamic equivalents (DE) model is developed in which identifiability is studied, and it is shown that some parameters of the model are unidentifiable when using only the steady-state data before disturbance and during disturbance, but identifiable when using the data before and during disturbances, but not when utilising the data after disturbances.
Journal Article

Application of dynamic equivalence based on identification of coherent generator group in engineering

TL;DR: In this paper, a dynamic equivalent model of large-scale power system is established, in which the identification of coherent generator group, aggregation of coherent generators and power network reduction are included Coherent generators are identified by means of time domain simulation.

Identification Approach to Dynamic Equivalents of the Power System Interconnected with Three Areas

Wang Wei-hua
TL;DR: In this paper, the identification of multi-area equivalent is studied for the power systems interconnected with three sub-systems, and the identifiability of the model is analyzed using an evolutionary strategy algorithm for the parameter estimation.
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