Flexibility Incentive Market Mechanism for Combined Frequency Regulation and Electricity Markets for the Power System with Distributed Energy Resources Aggregators via Modified Leiden Algorithm

Distributed energy resources provide local power as a supplement on the customer side. Recent rapid development of the distributed energy source enhances the clear energy production at the terminal of the power system. Whereas the small capacity of a single distributed energy source and the scaling of numbers pose difficulties for market design and clearance. In addition, the stochastic and quickly varying output power of the amount of (distributed) renewable energy sources increases the necessity for flexible regulation capacities. In response to the above issues, this paper develops a modified Leiden algorithm to aggregate distributed energy sources with similar regulation properties and connectives, avoiding complex power allocation strategies within the intra-aggregator and ensuring ordered power flow among inter-aggregators. Then, a bi-level market mechanism is proposed to highlight the regulation contributions of both distributed aggregators and conventional energy sources. The upper-level model optimizes the price of combined frequency regulation and electricity markets. The lower-level model regulates the output power of the aggregators and conventional energy sources. Furthermore, the modification of the bi-level model is proposed via the Karush–Kuhn–Tucker condition to ensure its solvability. The proposed market mechanism and the aggregating method are verified using a modified IEEE 30-bus system with IEEE 123-node test feeders and terminal-side energy resources. The results reflect the incentive impacts of the designed market mechanism and the effectiveness of the aggregating algorithm.

Authors

Institutions

Publication Details

Journal
Energies
Published
2025-11-27
DOI
https://doi.org/10.3390/en18236231
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flexibility Incentive Market Mechanism for Combined Frequency Regulation and Electricity Markets for the Power System with Distributed Energy Resources Aggregators via Modified Leiden Algorithm

Yi Ge, Xiao Hu, Zesen Li, Jing Shi et al.
Energies
Electric Power System Optimization
article

Flexibility Incentive Market Mechanism for Combined Frequency Regulation and Electricity Markets for the Power System with Distributed Energy Resources Aggregators via Modified Leiden Algorithm

Yi Ge, Xiao Hu, Zesen Li, Jing Shi, Liming Hu, Bingjie Li
article en

Abstract

Distributed energy resources provide local power as a supplement on the customer side. Recent rapid development of the distributed energy source enhances the clear energy production at the terminal of the power system. Whereas the small capacity of a single distributed energy source and the scaling of numbers pose difficulties for market design and clearance. In addition, the stochastic and quickly varying output power of the amount of (distributed) renewable energy sources increases the necessity for flexible regulation capacities. In response to the above issues, this paper develops a modified Leiden algorithm to aggregate distributed energy sources with similar regulation properties and connectives, avoiding complex power allocation strategies within the intra-aggregator and ensuring ordered power flow among inter-aggregators. Then, a bi-level market mechanism is proposed to highlight the regulation contributions of both distributed aggregators and conventional energy sources. The upper-level model optimizes the price of combined frequency regulation and electricity markets. The lower-level model regulates the output power of the aggregators and conventional energy sources. Furthermore, the modification of the bi-level model is proposed via the Karush–Kuhn–Tucker condition to ensure its solvability. The proposed market mechanism and the aggregating method are verified using a modified IEEE 30-bus system with IEEE 123-node test feeders and terminal-side energy resources. The results reflect the incentive impacts of the designed market mechanism and the effectiveness of the aggregating algorithm.

EnergiesVol. 18(23)
Economic Research Institute (BG)
Economic Research Institute, State Grid Jiangsu Electric Power
Openalex Percentile: Top 63%
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.