A Virtual Contribution Theory-Based Loss Allocation Method in Power Markets

With the large-scale integration of high-penetration distributed energy resources and the transformation of terminal loads into prosumer models, the operation of active distribution networks (ADNs) has become increasingly flexible, often leading to frequent bidirectional power flows. These dynamics pose significant challenges for accurate loss calculation in ADNs and the correction of transaction outcomes between generators and consumers under power market environments. Moreover, the distinct operating structures of the spot and bilateral contract markets further increase the complexity of ADN operation and impose significant challenges on the adaptability of loss allocation (LA) mechanisms. To address these issues, this paper proposes an innovative LA method for ADNs based on Virtual Contribution Theory (VCT), applicable to both spot and bilateral contract market scenarios. By constructing virtual contribution matrices—branch-based for the spot market and transaction-based for the bilateral market—the method accurately traces and quantifies the actual contributions of each market participant under different trading models, thereby enabling reasonable, transparent, and fair loss allocation. Additionally, the method eliminates the need for complex matrix inversion required in existing approaches by leveraging basic operations on the virtual contribution matrix, thereby reducing computational complexity and significantly improving computational efficiency. Case studies on IEEE 33 and IEEE 69 systems demonstrate the effectiveness, applicability, and fairness of the proposed approach.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Industry Applications
Published
2025-05-19
DOI
https://doi.org/10.1109/tia.2025.3571364
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

A Virtual Contribution Theory-Based Loss Allocation Method in Power Markets

Min Dong, Juan Su, Songhuai Du, Jing Zhao et al.
IEEE Transactions on Industry Applications
Electric Power System Optimization
article

A Virtual Contribution Theory-Based Loss Allocation Method in Power Markets

Min Dong, Juan Su, Songhuai Du, Jing Zhao, Jingtong Zhao, Yanjun Dong
article en

Abstract

With the large-scale integration of high-penetration distributed energy resources and the transformation of terminal loads into prosumer models, the operation of active distribution networks (ADNs) has become increasingly flexible, often leading to frequent bidirectional power flows. These dynamics pose significant challenges for accurate loss calculation in ADNs and the correction of transaction outcomes between generators and consumers under power market environments. Moreover, the distinct operating structures of the spot and bilateral contract markets further increase the complexity of ADN operation and impose significant challenges on the adaptability of loss allocation (LA) mechanisms. To address these issues, this paper proposes an innovative LA method for ADNs based on Virtual Contribution Theory (VCT), applicable to both spot and bilateral contract market scenarios. By constructing virtual contribution matrices—branch-based for the spot market and transaction-based for the bilateral market—the method accurately traces and quantifies the actual contributions of each market participant under different trading models, thereby enabling reasonable, transparent, and fair loss allocation. Additionally, the method eliminates the need for complex matrix inversion required in existing approaches by leveraging basic operations on the virtual contribution matrix, thereby reducing computational complexity and significantly improving computational efficiency. Case studies on IEEE 33 and IEEE 69 systems demonstrate the effectiveness, applicability, and fairness of the proposed approach.

IEEE Transactions on Industry ApplicationsVol. 61(6)
China Agricultural University (CN)
Openalex Percentile: Top 91%
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.