Multi-Entity Balancing Responsibility Partitioning and Allocation for Micro-Dispatch Balancing Areas

Micro-dispatch balancing areas need responsibility rules that distinguish deviation attribution from physically feasible corrective action. This study links a bus-level distance-based partitioning formulation with a constrained two-stage allocation model and quadratic Shapley attribution. Because the supplied network export and operating records are incomplete, the rebuilt case treats the six-area IEEE 118-bus partition as a fixed scenario and uses one 96-period proxy day containing 27 source profiles (four thermal and 23 renewable; 6916 MW). Under dimensionless objective scaling, the strict allocation is feasible within the modeled entity-level limits, requires neither external balancing nor cumulative slack, and assigns 9.71% of responsibility to thermal entities; exact quadratic Shapley attribution assigns 9.13%. For the co-directional set used here, normalized quadratic Shapley attribution is analytically identical to deviation-proportional allocation, so Monte Carlo differences measure sampling error rather than a distinct redistribution effect. Sensitivity tests show that the remaining constrained-versus-attribution gap depends on objective weights and obligation settings. Network-limit, partition-robustness, and seasonal-generalization claims are not made because the required inputs are unavailable.

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Publication Details

Journal
Applied Sciences
Published
2026-10-27
DOI
https://doi.org/10.3390/app162110620
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-Entity Balancing Responsibility Partitioning and Allocation for Micro-Dispatch Balancing Areas

Bingcheng Cen, Hongjin Pan, Ling Hao, Lifei Sun et al.
2 links
Applied Sciences
Electric Power System Optimization
article

Multi-Entity Balancing Responsibility Partitioning and Allocation for Micro-Dispatch Balancing Areas

Bingcheng Cen, Hongjin Pan, Ling Hao, Lifei Sun, Hucheng Li, Fei Xu
article en

Abstract

Micro-dispatch balancing areas need responsibility rules that distinguish deviation attribution from physically feasible corrective action. This study links a bus-level distance-based partitioning formulation with a constrained two-stage allocation model and quadratic Shapley attribution. Because the supplied network export and operating records are incomplete, the rebuilt case treats the six-area IEEE 118-bus partition as a fixed scenario and uses one 96-period proxy day containing 27 source profiles (four thermal and 23 renewable; 6916 MW). Under dimensionless objective scaling, the strict allocation is feasible within the modeled entity-level limits, requires neither external balancing nor cumulative slack, and assigns 9.71% of responsibility to thermal entities; exact quadratic Shapley attribution assigns 9.13%. For the co-directional set used here, normalized quadratic Shapley attribution is analytically identical to deviation-proportional allocation, so Monte Carlo differences measure sampling error rather than a distinct redistribution effect. Sensitivity tests show that the remaining constrained-versus-attribution gap depends on objective weights and obligation settings. Network-limit, partition-robustness, and seasonal-generalization claims are not made because the required inputs are unavailable.

Applied SciencesVol. 16(21)
State Key Laboratory of Power System Operation and Control (CN), State Grid Jiangsu Electric Power (China) (CN), Tsinghua University (CN)
State Grid Jiangsu Electric Power
Openalex Percentile: Top 24%
Electric Power System Optimization
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Multi-Entity Balancing Responsibility Partitioning and Allocation for Micro-Dispatch Balancing Areas — Bingcheng Cen, Hongjin Pan, et al. · Applied Sciences (2026) | TGRS Research Map | TGRS