Advanced Distribution Use of Network Pricing Method for Equitable Cost Allocation in Distributed Energy Resources Integrated Power Systems

Distribution Use of Network (DUoN) charges are crucial for recovering the costs of installing, operating, and maintaining the distribution network (DN) assets. This article presents a pricing algorithm to charge consumers and distributed energy resources (DERs) based on their impact on the distribution network. This method utilizes a sensitivity approach to calculate the deviation in system annual chargeable cost based on the incremental change in a) the real and reactive power flow of the facilities, b) the MW-Miles and MVAr-Miles flow of the system, and c) the power factor of the system. This provides the cumulative impact of all these parameters and provides the incentive to consumers based on the amount of real and reactive power they are consuming, the distance used to support customers' real and reactive power injection/withdrawal, the capacity of DN assets being utilized while power is being delivered to consumers and influence on system power factor. The main advantage of the proposed approach is that it is not dependent on the tracing algorithm to detect the power flow paths, hence capable of computing DUoN for decent-sized DNs embedded with DERs, where the contribution of power to the consumers by the DERs or from the grid is difficult to determine or trace. Additionally, due to the appraising and penalizing characteristics of the proposed DUoN charging mechanism, the proposed pricing algorithm may encourage users to act based on local economic signals. This algorithm has been tested on a modified Western network, the IEEE-15 bus network, the IEEE-69 bus network, and the IEEE-123 bus network.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Industry Applications
Published
2025-06-02
DOI
https://doi.org/10.1109/tia.2025.3575549
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advanced Distribution Use of Network Pricing Method for Equitable Cost Allocation in Distributed Energy Resources Integrated Power Systems

Sukumar Kamalasadan, Krishna Murari, Narayana Prasad Padhy, Subho Paul et al.
IEEE Transactions on Industry Applications
Electric Power System Optimization
article

Advanced Distribution Use of Network Pricing Method for Equitable Cost Allocation in Distributed Energy Resources Integrated Power Systems

Sukumar Kamalasadan, Krishna Murari, Narayana Prasad Padhy, Subho Paul, Md Shamim Hasan
article en

Abstract

Distribution Use of Network (DUoN) charges are crucial for recovering the costs of installing, operating, and maintaining the distribution network (DN) assets. This article presents a pricing algorithm to charge consumers and distributed energy resources (DERs) based on their impact on the distribution network. This method utilizes a sensitivity approach to calculate the deviation in system annual chargeable cost based on the incremental change in a) the real and reactive power flow of the facilities, b) the MW-Miles and MVAr-Miles flow of the system, and c) the power factor of the system. This provides the cumulative impact of all these parameters and provides the incentive to consumers based on the amount of real and reactive power they are consuming, the distance used to support customers' real and reactive power injection/withdrawal, the capacity of DN assets being utilized while power is being delivered to consumers and influence on system power factor. The main advantage of the proposed approach is that it is not dependent on the tracing algorithm to detect the power flow paths, hence capable of computing DUoN for decent-sized DNs embedded with DERs, where the contribution of power to the consumers by the DERs or from the grid is difficult to determine or trace. Additionally, due to the appraising and penalizing characteristics of the proposed DUoN charging mechanism, the proposed pricing algorithm may encourage users to act based on local economic signals. This algorithm has been tested on a modified Western network, the IEEE-15 bus network, the IEEE-69 bus network, and the IEEE-123 bus network.

IEEE Transactions on Industry ApplicationsVol. 61(6)
University of North Carolina at Charlotte (US), Indian Institute of Technology Roorkee (IN), Indian Institute of Technology Bhilai (IN), Indian Institute of Technology BHU (IN), Banaras Hindu University (IN)
Affordable and clean energy
Openalex Percentile: Top 90%
Electric Power System Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.