Interval Reliability Evaluation of Hybrid AC/DC Grids With Integrated Renewable Energy

Xinran He; Tao Ding; Yuge Sun; Mohammad Shahidehpour; Li Li; Fangde Chi

doi:10.1109/TPWRS.2022.3213028

Interval Reliability Evaluation of Hybrid AC/DC Grids With Integrated Renewable Energy

Xinran He
, Tao Ding
, Yuge Sun
, Mohammad Shahidehpour
, Li Li
, Fangde Chi

School of Electrical Engineering

Xi'an Jiaotong University
Illinois Institute of Technology
State Grid Shaanxi Electric Power Company

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

Abstract

Reliability evaluation of a hybrid AC/DC grid (HADG) with renewable energy is critical because of prevailing uncertainties and complex operations of voltage source converter-based high voltage direct current (DC) transmission. We propose an interval reliability evaluation model to accelerate the speed of HADG reliability evaluation with uncertainties. First, the general nonconvex optimal load shedding (OLS) model is linearized. Second, the linearized OLS model is converted into an interval model, which is decomposed into two bi-level sub-models to quantify the impact of renewable energy uncertainties at HADG. Third, an Average and Scattered Sampling-Adaptive Importance Sampling (AS-AIS) algorithm is proposed to accelerate the convergence of the reliability evaluation. Simulation results for several test systems show the effectiveness and computational tractability of the proposed interval reliability model.

Original language	English
Pages (from-to)	4501-4514
Number of pages	14
Journal	IEEE Transactions on Power Systems
Volume	38
Issue number	5
DOIs	https://doi.org/10.1109/TPWRS.2022.3213028
State	Published - 1 Sep 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Average and Scattered Sampling-Adaptive Importance Sampling
Hybrid AC/DC grid
interval reliability evaluation
linearized optimal load shedding model

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10.1109/TPWRS.2022.3213028

Cite this

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title = "Interval Reliability Evaluation of Hybrid AC/DC Grids With Integrated Renewable Energy",

abstract = "Reliability evaluation of a hybrid AC/DC grid (HADG) with renewable energy is critical because of prevailing uncertainties and complex operations of voltage source converter-based high voltage direct current (DC) transmission. We propose an interval reliability evaluation model to accelerate the speed of HADG reliability evaluation with uncertainties. First, the general nonconvex optimal load shedding (OLS) model is linearized. Second, the linearized OLS model is converted into an interval model, which is decomposed into two bi-level sub-models to quantify the impact of renewable energy uncertainties at HADG. Third, an Average and Scattered Sampling-Adaptive Importance Sampling (AS-AIS) algorithm is proposed to accelerate the convergence of the reliability evaluation. Simulation results for several test systems show the effectiveness and computational tractability of the proposed interval reliability model.",

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AU - He, Xinran

AU - Ding, Tao

AU - Sun, Yuge

AU - Shahidehpour, Mohammad

AU - Li, Li

AU - Chi, Fangde

PY - 2023/9/1

Y1 - 2023/9/1

N2 - Reliability evaluation of a hybrid AC/DC grid (HADG) with renewable energy is critical because of prevailing uncertainties and complex operations of voltage source converter-based high voltage direct current (DC) transmission. We propose an interval reliability evaluation model to accelerate the speed of HADG reliability evaluation with uncertainties. First, the general nonconvex optimal load shedding (OLS) model is linearized. Second, the linearized OLS model is converted into an interval model, which is decomposed into two bi-level sub-models to quantify the impact of renewable energy uncertainties at HADG. Third, an Average and Scattered Sampling-Adaptive Importance Sampling (AS-AIS) algorithm is proposed to accelerate the convergence of the reliability evaluation. Simulation results for several test systems show the effectiveness and computational tractability of the proposed interval reliability model.

AB - Reliability evaluation of a hybrid AC/DC grid (HADG) with renewable energy is critical because of prevailing uncertainties and complex operations of voltage source converter-based high voltage direct current (DC) transmission. We propose an interval reliability evaluation model to accelerate the speed of HADG reliability evaluation with uncertainties. First, the general nonconvex optimal load shedding (OLS) model is linearized. Second, the linearized OLS model is converted into an interval model, which is decomposed into two bi-level sub-models to quantify the impact of renewable energy uncertainties at HADG. Third, an Average and Scattered Sampling-Adaptive Importance Sampling (AS-AIS) algorithm is proposed to accelerate the convergence of the reliability evaluation. Simulation results for several test systems show the effectiveness and computational tractability of the proposed interval reliability model.

KW - Average and Scattered Sampling-Adaptive Importance Sampling

KW - Hybrid AC/DC grid

KW - interval reliability evaluation

KW - linearized optimal load shedding model

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JO - IEEE Transactions on Power Systems

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Interval Reliability Evaluation of Hybrid AC/DC Grids With Integrated Renewable Energy

Abstract

UN SDGs

Keywords

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