Probabilistic Optimal Power Flow Calculation Method Based on Adaptive Diffusion Kernel Density Estimation

To accurately evaluate the influence of the uncertainty and correlation of photovoltaic (PV) output and load on the running state of power system, a probabilistic optimal power flow (POPF) calculation method based on adaptive diffusion kernel density estimation is proposed in this paper. First, base...

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Main Authors: Guoqing Li, Weihua Lu, Jing Bian, Fang Qin, Ji Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Energy Research
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fenrg.2019.00128/full
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spelling doaj-054f4ace0612475da597462c1a7b15332020-11-25T01:53:20ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2019-11-01710.3389/fenrg.2019.00128488507Probabilistic Optimal Power Flow Calculation Method Based on Adaptive Diffusion Kernel Density EstimationGuoqing Li0Weihua Lu1Jing Bian2Fang Qin3Ji Wu4School of Electrical Engineering, Northeast Electric Power University, Jilin City, ChinaSchool of Electrical Engineering, Northeast Electric Power University, Jilin City, ChinaSchool of Electrical Engineering, Northeast Electric Power University, Jilin City, ChinaChina Electric Power Research Institute, Nanjing, ChinaChina Electric Power Research Institute, Nanjing, ChinaTo accurately evaluate the influence of the uncertainty and correlation of photovoltaic (PV) output and load on the running state of power system, a probabilistic optimal power flow (POPF) calculation method based on adaptive diffusion kernel density estimation is proposed in this paper. First, based on the distribution characteristics of PV output, the adaptive diffusion kernel density estimation model of PV output is constructed, which can transform the kernel function into a linear diffusion process to achieve self-tuning of the bandwidth of the nuclear density estimation. This model can fit the distribution of arbitrary distribution of PV power, improve the local adaptability of PV output model, and reflect the uncertainty and volatility of PV output more accurately. Therefore, it can provide more accurate input for POPF calculation. Second, the Kendall rank correlation coefficient and the least Euclidean distance are used as correlation measure and index of fitting to select the optimal Copula function, and the joint probability distribution model of PV output and load is constructed. After extracting the correlated PV output and load samples, a POPF calculation method considering the correlation of PV output and load is proposed by using genetic algorithm (GA), which takes the lowest fuel cost of power generation as the objective function. Finally, simulation studies are conducted with the measured data of a PV power plant of China and the IEEE 30-bus power system. The results show that considering the correlation between PV output and load can improve the accuracy of POPF calculation and effectively reduce the power generation cost of the power system.https://www.frontiersin.org/article/10.3389/fenrg.2019.00128/fullPV outputadaptive diffusion kernel densityCopula theorycorrelationprobabilistic optimal power flow
collection DOAJ
language English
format Article
sources DOAJ
author Guoqing Li
Weihua Lu
Jing Bian
Fang Qin
Ji Wu
spellingShingle Guoqing Li
Weihua Lu
Jing Bian
Fang Qin
Ji Wu
Probabilistic Optimal Power Flow Calculation Method Based on Adaptive Diffusion Kernel Density Estimation
Frontiers in Energy Research
PV output
adaptive diffusion kernel density
Copula theory
correlation
probabilistic optimal power flow
author_facet Guoqing Li
Weihua Lu
Jing Bian
Fang Qin
Ji Wu
author_sort Guoqing Li
title Probabilistic Optimal Power Flow Calculation Method Based on Adaptive Diffusion Kernel Density Estimation
title_short Probabilistic Optimal Power Flow Calculation Method Based on Adaptive Diffusion Kernel Density Estimation
title_full Probabilistic Optimal Power Flow Calculation Method Based on Adaptive Diffusion Kernel Density Estimation
title_fullStr Probabilistic Optimal Power Flow Calculation Method Based on Adaptive Diffusion Kernel Density Estimation
title_full_unstemmed Probabilistic Optimal Power Flow Calculation Method Based on Adaptive Diffusion Kernel Density Estimation
title_sort probabilistic optimal power flow calculation method based on adaptive diffusion kernel density estimation
publisher Frontiers Media S.A.
series Frontiers in Energy Research
issn 2296-598X
publishDate 2019-11-01
description To accurately evaluate the influence of the uncertainty and correlation of photovoltaic (PV) output and load on the running state of power system, a probabilistic optimal power flow (POPF) calculation method based on adaptive diffusion kernel density estimation is proposed in this paper. First, based on the distribution characteristics of PV output, the adaptive diffusion kernel density estimation model of PV output is constructed, which can transform the kernel function into a linear diffusion process to achieve self-tuning of the bandwidth of the nuclear density estimation. This model can fit the distribution of arbitrary distribution of PV power, improve the local adaptability of PV output model, and reflect the uncertainty and volatility of PV output more accurately. Therefore, it can provide more accurate input for POPF calculation. Second, the Kendall rank correlation coefficient and the least Euclidean distance are used as correlation measure and index of fitting to select the optimal Copula function, and the joint probability distribution model of PV output and load is constructed. After extracting the correlated PV output and load samples, a POPF calculation method considering the correlation of PV output and load is proposed by using genetic algorithm (GA), which takes the lowest fuel cost of power generation as the objective function. Finally, simulation studies are conducted with the measured data of a PV power plant of China and the IEEE 30-bus power system. The results show that considering the correlation between PV output and load can improve the accuracy of POPF calculation and effectively reduce the power generation cost of the power system.
topic PV output
adaptive diffusion kernel density
Copula theory
correlation
probabilistic optimal power flow
url https://www.frontiersin.org/article/10.3389/fenrg.2019.00128/full
work_keys_str_mv AT guoqingli probabilisticoptimalpowerflowcalculationmethodbasedonadaptivediffusionkerneldensityestimation
AT weihualu probabilisticoptimalpowerflowcalculationmethodbasedonadaptivediffusionkerneldensityestimation
AT jingbian probabilisticoptimalpowerflowcalculationmethodbasedonadaptivediffusionkerneldensityestimation
AT fangqin probabilisticoptimalpowerflowcalculationmethodbasedonadaptivediffusionkerneldensityestimation
AT jiwu probabilisticoptimalpowerflowcalculationmethodbasedonadaptivediffusionkerneldensityestimation
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