Measurement-Based Real-Time Voltage Stability Monitoring for Load Areas

Hu, Fengkai; Sun, Kai; Rosso, Alberto Del; Farantatos, Evangelos; Bhatt, Navin

doi:10.1109/tpwrs.2015.2477080

Cited by 86 publications

(62 citation statements)

References 22 publications

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“…The fictitious loads in conventional Ward equivalent models are constant-current or constant-power loads; therefore, the nodal admittance matrix (or the parameters) of the equivalent model can be determined by performing Gaussian elimination on the nodal admittance matrix of the area load. Paper [11] treats these loads as constant impedances, and the model parameters are determined using measurements collected at the boundary buses. In this paper, the accuracy of the model is improved by formulating ZIP models of the active and reactive loads as follows [30]:…”

Section: Area Load Modeling and Topological Structure Simplification mentioning

confidence: 99%

“…The ERL, FORL and LS algorithms are used to optimize the coefficients of the ZIP load in accordance with the real-time voltage measurements. As is done in [11], the initial values in the current time window are set to the optimal values for the last time window in the LS algorithm. The parameters of the ERL algorithm are set as follows: D i = 10 (i = 1, 2, · · · , N), α = 0.5, β = 0.1 and γ = 0.9.…”

Section: Single Zip Loadmentioning

confidence: 99%

“…Ward equivalence [7] is a classic approach for reducing the topological structure of area loads with multiple boundary buses for applications such as state estimation [8], security analysis [9] and network reconfiguration [10]. The equivalent system with N + 1 buses proposed in paper [11] is an extension of the Thevenin equivalence approach combined with Ward equivalence, in which the equivalent loads are treated using a constant-impedance model. Our previous studies reported in [1,12] introduced another approach to area load modeling, which focuses on replacing the internal buses and lines with only one fictitious load bus and several fictitious lines linking that load bus to multiple boundary buses.…”

Section: Introductionmentioning

confidence: 99%

“…LS methods are also widely used in other applications, such as the short-term forecasting of wind power [15], power estimation for electric vehicles [16], the design of filters [17], and the forecasting of electricity prices [18][19][20]. According to paper [11], the optimization problem corresponding to the modeling of an area load with multiple boundary buses is a complex non-linear programming problem with multiple local optima. In that paper, a sequential quadratic programming (SQP) method with improved initial points is used to optimize the parameters.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Online Area Load Modeling in Power Systems Using Enhanced Reinforcement Learning

Shang

et al. 2017

Energies

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Abstract:The accuracy of load modeling directly influences power system operation and control. Previous modeling studies have mainly concentrated on the loads connected to a single boundary bus, without thoroughly considering the static load characteristics of the voltage. To remedy this oversight, this paper proposes an accurate modeling approach for area loads with multiple boundary buses and ZIP loads (a combination of constant-impedance, constant-current and constant-power loads) based on Ward equivalence. Furthermore, to satisfy the requirements for real-time monitoring, the model parameters are identified in an online manner using an enhanced reinforcement learning (ERL) algorithm. Parallel tables of value functions are implemented in the ERL algorithm to improve its tracking performance. Three simulation cases are addressed, the first involving a single ZIP load and the second and third involving area loads in the IEEE 57-bus system and in a real 1209-bus power system in China, respectively. The results demonstrate that the ERL algorithm outperforms an existing reinforcement learning algorithm and the improved least-squares method in terms of convergence and the ability to track both step-changing and time-varying loads. Additionally, the results obtained on test cases confirm that the proposed area load model is more accurate than a previously introduced model.

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Section: Area Load Modeling and Topological Structure Simplification mentioning

confidence: 99%

Section: Single Zip Loadmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Online Area Load Modeling in Power Systems Using Enhanced Reinforcement Learning

Shang

et al. 2017

Energies

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“…Voltage instability has become a challenging issue in power grids since several major blackouts worldwide have been mainly attributed to voltage collapse [1][2][3]. Voltage collapse tends to occur during heavy loading, especially when the generating capacity is insufficient.…”

Section: Introductionmentioning

confidence: 99%

GECM-Based Voltage Stability Assessment Using Wide-Area Synchrophasors

Liu

2017

Energies

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Abstract:Voltage instability is a crucial issue in the secure operation of power grids. Several methods for voltage stability assessment were presented. Some of them are highly computationally intensive, while others are reported not to work properly under all circumstances. This paper proposes a new methodology based on the generator equivalent circuit model (GECM) and the phasor measurement unit (PMU) technology for online voltage stability monitoring of a power grid. First, the proposed methodology utilizes synchronized phasor (synchrophasor) measurements to determine the impedance parameters of a transmission grid by means of the recursive least squares (RLS) algorithm. Furthermore, it incorporates the dynamic models of generators to handle the cases with generator reactive power limit violations. After that, an enhanced voltage stability index with GECMs incorporated is developed for reliable and accurate voltage stability assessment. The proposed methodology was first demonstrated on several standard IEEE power systems, and then applied to a practical power system, the Taiwan power (Taipower) system. The test results demonstrate the flexibility and effectiveness of the proposed methodology.

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Accelerated Power System Simulation Using Analytic Continuation Techniques

Liu

2023

Power System Simulation Using Semi‐Analytical Methods

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Measurement-Based Real-Time Voltage Stability Monitoring for Load Areas

Cited by 86 publications

References 22 publications

Online Area Load Modeling in Power Systems Using Enhanced Reinforcement Learning

Online Area Load Modeling in Power Systems Using Enhanced Reinforcement Learning

GECM-Based Voltage Stability Assessment Using Wide-Area Synchrophasors

Accelerated Power System Simulation Using Analytic Continuation Techniques

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