Harmonic indices for continuous evaluation of consumer's harmonic contribution

Tadayon, Mahdi; Hooshmand, Rahmat‐Allah; Kiyoumarsi, Arash; Esfahani, Mehdi Torabian

doi:10.1049/iet-gtd.2019.0669

Cited by 3 publications

(13 citation statements)

References 30 publications

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“…Step 1: Calculation of the HCM In this paper, HCM is calculated based on the method presented in [11]. In this method after measuring the magnitude of the harmonics of the voltage of the target buses-as well as the current and harmonic voltage magnitudes of the harmonic sources, the HCM is determined.…”

Section: General Description Of the Proposed Methodsmentioning

confidence: 99%

“…The HCM calculation should be done in such a way that the contribution curve of each harmonic source to the harmonic voltage of each individual target bus can be plotted over time. The HCM is calculated by the method presented in our previous work [11]. If the number of harmonic sources in the considered network is supposed to be equal to NS and the number of buses studied would be NB, the size of HCM will be NS × NB for each time interval.…”

Section: Description Of the Details Of The Proposed Algorithmmentioning

confidence: 99%

“…This study focuses on proposing a new algorithm for the fourth module. Previously, a method for harmonic contribution determination was successfully developed by the authors [11]. Based on the results, obtained from the contribution of each source to the voltage harmonic of each network bus at every time interval (T), the HCM was formed, which is used as the first module in our new four-module method.…”

Section: Introductionmentioning

confidence: 99%

“…The different harmonic sources have a different contribution to the harmonic voltage of a certain bus over time. As a result, if the appropriate method is used to calculate the continuous harmonic contribution matrix of the network, it can be used to make a better penalty scheme and prioritize compensation at different network buses [11].…”

Section: Introductionmentioning

confidence: 99%

“…In a restructured power grid with proper information and data, monitoring and control platforms, the grid voltage quality can be improved by the implementation of an economical mitigation solution such as the appropriate algorithm for the pricing of the harmonic contamination [8,9]. Due to the widespread use of non-linear loads, the use of real-time methods in data analysis has become very important for analysing the harmonic voltage data to real-time monitor and control the system [10,11]. For many countries, subscribers with low power factors are charged [12], so non-linear loads can receive a penalty determined according to their contribution to the harmonic voltage [13,14] or other indices such as harmonic adjusted power factor or service quality index [15].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Imposing fair penalty to the harmonic sources based on the measurement data

Tadayon

Hooshmand

Kiyoumarsi

et al. 2021

IET Generation Trans & Dist

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Improving network power quality through harmonic reduction requires recognition of Harmonic Sources (HSs) to drive them to compensate their harmonics. This paper proposes a new method for equitable distribution of the Harmonic Compensation Cost of the network among the HSs based on the Harmonic Contribution Matrix. Each element of the Harmonic Contribution Matrix is the harmonic contribution of a specific source to the harmonic voltage of a specific bus. The output of the proposed method is a penalty curve for each HS over time. The amount of the fine estimated for each individual HS per hour is a function of not only the contribution of that HS to the harmonic voltage of different buses, but also the contribution of the Harmonic Compensation Cost from the perspective of each bus, nominal voltage of each bus, and the sensitivity of each bus to the harmonic voltage. The proposed algorithm is evaluated on the IEEE 14-bus network and Esfahan regional electrical power network in Iran. The simulation results demonstrate the capability of the proposed method to allocate the hourly penalty curve to the HSs.

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Section: General Description Of the Proposed Methodsmentioning

confidence: 99%

Section: Description Of the Details Of The Proposed Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Imposing fair penalty to the harmonic sources based on the measurement data

Tadayon

Hooshmand

Kiyoumarsi

et al. 2021

IET Generation Trans & Dist

Self Cite

View full text Add to dashboard Cite

show abstract

Multiple harmonic sources identification including inverter‐based distributed generations using empirical Fourier decomposition

Motlagh

Foroud

2023

IET Generation Trans & Dist

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This paper proposes an intelligent approach based on the empirical Fourier decomposition (EFD) to identify harmonic sources at the point of common coupling (PCC) when different inverter-based distributed generations (DGs) like microturbine (MT), battery energy storage system (BESS), photovoltaic (PV), superconducting magnetic energy storage (SMES), wind turbine with a permanent magnet synchronous generator (PMSG), and doubly-fed induction generator (DFIG) wind turbine are presented. In order to decrease memory storage and computational burden, strife feature selection is used. Applying just voltage signals consumes less processing time and decreases measurement devices. Moreover, the whale optimization algorithm (WOA) as the optimizer of the parameters of the support vector machine (SVM) classifier is used. Consequently, the results from the proposed method can be helpful for both engineers and researchers to plan and develop a better strategy to mitigate harmonic distortion.

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