Fast Quasi-Static Time-Series (QSTS) for yearlong PV impact studies using vector quantization

Deboever, Jeremiah; Grijalva, Santiago; Reno, Matthew J.; Broderick, Robert Joseph

doi:10.1016/j.solener.2017.11.013

Cited by 29 publications

(8 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Then, a static load flow solution cannot produce a real picture of the system, especially when generations from renewables vary with time [4]. Therefore, a quasi-static or time series analysis is used for power flow analysis of these sources [5][6][7][8][9][10].…”

Section: Quasi-static or Time Series Power Flow Analysismentioning

confidence: 99%

See 1 more Smart Citation

Quasi-static Power Flow and Fault Analysis of Photovoltaic Farm

Zhang¹,

Zhu²,

Zhuo³

2023

International Journal of Science and Engineering Applications

View full text Add to dashboard Cite

This report first analysis quasi static power flow for photovoltaic power plant. Then, fault analysis for different symmetrical and asymmetrical fault is done. The system used is IEEE 39 bus New England system that a Photovoltaic farm with 500 MW power is connected to bus 24. Newton-Raphson Power flow method is used with Gauss-Jordan elimination method for matrix inversion in this power flow analysis. Different operation condition including faults are also considered for fault at bus 16. The results are validated with simulation in MATLAB software.

show abstract

Section: Quasi-static or Time Series Power Flow Analysismentioning

confidence: 99%

“…Therefore, a quasi-static or time series analysis is used for power flow analysis of these sources like photovoltaic farms [5][6][7][8][9][10]. It depends to daily produced power of photovoltaic system and also load in different conditions by time.…”

Section: Quasi-static or Time Series Power Flow Analysismentioning

confidence: 99%

Quasi-static Power Flow and Fault Analysis of Photovoltaic Farm

Zhang¹,

Zhu²,

Zhuo³

2023

International Journal of Science and Engineering Applications

View full text Add to dashboard Cite

show abstract

“…As QSTS requires a considerable computational effort, a variable-time-step solver was developed in [36] based on backtrack method. Similarly, a technique based on QSTS was developed in [37] able to reduce the computational time spent on the study, implementing accurate mathematical models of control devices of DS.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic methodology for estimating the optimal photovoltaic capacity in distribution systems to avoid power flow reversals

Lujano-Rojas

Dufo-López

Bernal-Agustín

et al. 2018

IET Renewable Power Generation

View full text Add to dashboard Cite

The large-scale integration of photovoltaic generation (PVG) on distribution systems (DSs) preserving their technical constraints related to voltage fluctuations and active power (AP) flow is a challenging problem. Solar resources are accompanied by uncertainty regarding their estimation and its intrinsically variable nature. This paper presents a new probabilistic methodology based on quasi-static time-series analysis combined with the golden section search algorithm to integrate low and high levels of PVG into DSs to prevent AP flow in reverse direction. Based on the analysis of two illustrative case studies, it was concluded that the successful integration of PVG is not only related to the photovoltaic-cell manufacturing prices and conversion efficiency, but also with the manufacturing prices of power electronic devices required for reactive power control. Column of BIBC matrix. Branch-current to bus-voltage matrix. Bus-injection to branch-current matrix. Historical peak electricity price (€/kWh). Energy price at time and trial (€/kWh). Minimum voltage of DS (kV). Maximum voltage of DS (kV). Nominal voltage of DS (kV). Vector of minimum operational voltage (kV). Vector of maximum operational voltage (kV). Vector of nominal voltage of DS (kV). Nominal apparent power of DS (kVA). , Load of node at time and trial (kVA). , AP at time and trial for node (kW). , RP at time and trial for node (kVAr). Rated value of RP injected to DS (kVAr). Rated value of RP consumed from (kVAr). Rated capacity of STATCOM (kVAr).

show abstract

“…The authors of [15] proposed a numerical approach for simulating PV impacts on distribution systems, utilizing complete generation and load models. The authors of [16] suggested to store and reassign power flow solutions during time-series simulations in distribution systems. In [17], a clustering technique was used to reduce the data resolution of load and DG scenarios, and calculated the power flow for the centroids of the clusters only.…”

mentioning

confidence: 99%

Low-Computational Voltage-Assessment Approach Considering Fine-Resolution Simulations for Distribution Systems With Photovoltaics

Mahmoud

Abdel-Nasser

Lehtonen

2021

IEEE Systems Journal

View full text Add to dashboard Cite

The proliferation of photovoltaic (PV) has been increased in distribution systems worldwide. The intermittent PV generation can cause diverse operational problems in the grid, especially voltage deviations and violations. As a result, voltage assessment in distribution systems interconnected with PV, which has a heavy computational burden, is privileged to assist power utilities in decision-making. In this paper, a low-computational and accurate voltage assessment approach with PV considering fine-resolution simulations (i.e. time-step of 1 second) is proposed. Specifically, the proposed approach can rapidly compute the voltage deviation in the whole distribution system and terminal voltages of PV units based on a data-driven model. This model is built using machine learning considering various scenarios of PV and load profiles. The proposed approach has the following features: 1) its computational burden is very low compared to the widely used iterative based methods, 2) it can handle the full data with the finest available resolution, yielding accurate voltage assessment. The proposed method has been applied for voltage assessment considering daily and annual simulations of different distribution systems interconnected with PV units. The simulation results manifest the high accuracy and computational speed of the proposed approach, especially for fine-resolution simulations.

show abstract

Fast Quasi-Static Time-Series (QSTS) for yearlong PV impact studies using vector quantization

Cited by 29 publications

References 21 publications

Quasi-static Power Flow and Fault Analysis of Photovoltaic Farm

Quasi-static Power Flow and Fault Analysis of Photovoltaic Farm

Probabilistic methodology for estimating the optimal photovoltaic capacity in distribution systems to avoid power flow reversals

Low-Computational Voltage-Assessment Approach Considering Fine-Resolution Simulations for Distribution Systems With Photovoltaics

Contact Info

Product

Resources

About