Harmonic pricing in power systems based on identifying the appropriate contribution of customers

Saadat, Amin; Hooshmand, Rahmat‐Allah; Kiyoumarsi, Arash; Tadayon, Mahdi

doi:10.1049/iet-gtd.2018.5765

Cited by 16 publications

(8 citation statements)

References 23 publications

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“…It is notable that the harmonic sources in the grid are responsible for the harmonic voltage of different buses; however, according to step 1, contribution of a certain HS to the harmonic voltage of different buses is different and varies over time. Hence considering HCM and initial estimation of required penalties from the perspective of each target bus and the correction factor obtained from steps 1-4, the amount of the penalty that should be imposed on each HS for a certain time interval, can be calculated by Equation (8).…”

Section: Penalty Determination For Each Hsmentioning

confidence: 99%

“…Some of these methods are based on the estimation of the cost of harmonic damages to penalize harmonic sources [1,14,[18][19][20]. Another set of methods seeks pricing through the determination of the HCC [8,21], which have better computability and are more reasonable for the HSs compared to the first group methods. The second advantage is that the specified penalty is comparable to the cost of harmonic power filter installation.…”

Section: Introductionmentioning

confidence: 99%

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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: Penalty Determination For Each Hsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

“…This results in voltage and current distortion and the more serious harmonic pollution, which threatens the safe, stable, and economical operation of power systems [1][2][3][4]. To efficiently mitigate harmonics and avoid power quality disputes between the power supplier and customers, an incentivepunishment mechanism is proposed [5], but the necessary prerequisite for the implementation is to appropriately determine harmonic contributions of harmonic sources.…”

Section: Motivationmentioning

confidence: 99%

Approach to determine harmonic contributions in distribution networks using underdetermined blind source separation and form similarity distance

Ding

Chen

Hu³

et al. 2020

IET Generation, Transmission & Distribution

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“…The first step is harmonic pricing. With harmonic pricing in [18], the customers try to reduce their harmonics. This can be done by substituting nonlinear loads to linear ones or by installing filters at the point of common coupling (PCC).…”

Section: Nomenclature αmentioning

confidence: 99%

“…If the allocation is limited to loss, using Aumann method, the active loss allocation to player i from the currents of branches are as Eq. (18). [26]:…”

Section: B Allocation Of Objectives To Dgsmentioning

confidence: 99%

Shapley Value-Based Techno-Economic Framework for Harmonic and Loss Mitigation

Nazari

Azad‐Farsani

2019

IEEE Access

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This study presents a multi-objective policy for harmonic distortion and loss mitigation in micro-grid and active distribution grid. The implementation of this policy in networks including Distributed Generation (DG), is put forward based on the determination of the locational marginal price of each DG bus, considering their impacts on the loss and harmonic mitigation. In this process, each DG receives an incentive in the form of price increment, based on the Aumann-Shapley value game-theoretic method as an iterative algorithm, considering the effectiveness of reducing loss or harmonic distortion. Furthermore, as a decision-making tool, the operator can change the contribution of the incentives used to mitigate the loss or harmonic distortion and make an appropriate estimation for the next step conditions. The simulations are organized based on real data on the modified Taiwan Power Company grid (TPC). The modified TPC consists of renewable energy sources (RES) and fossil-fuel based DG units. Also, to achieve a realistic framework, generation of RES, loads, and market prices are considered as uncertain parameters. The results demonstrate the competence of the proposed method for the TPC network in terms of triple pricing methods comparison, total loss reduction, harmonic mitigation, and merchandising surplus controlling.

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Harmonic pricing in power systems based on identifying the appropriate contribution of customers

Cited by 16 publications

References 23 publications

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

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

Approach to determine harmonic contributions in distribution networks using underdetermined blind source separation and form similarity distance

Shapley Value-Based Techno-Economic Framework for Harmonic and Loss Mitigation

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