A Bi-level Optimization Model for Capacity and Energy Markets Considering the Design of the Capacity Demand Curve

With the acceleration of China's new power system construction and the push towards a unified national electricity market, the focus has shifted to developing an appropriate capacity market mechanism. This mechanism should ensure sufficient system capacity and effectively promote the investment and construction of various capacity resources. This paper proposes a bi-level optimization model for the capacity and energy markets, considering the design of the capacity demand curve. First, different shapes of the capacity demand curve are modeled to establish a reasonable capacity clearing price. Then, a bi-level optimization model is constructed that accounts for the potential operational benefits of the energy market. By iteratively interacting the clearing results from the upper and lower levels, the optimal capacity resource clearing combination can be achieved. Finally, case analysis shows that the proposed model can avoid overinvestment in capacity resources, achieve better economic efficiency, and promote the construction of renewable energy.

Authors

Institutions

Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10990684
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

A Bi-level Optimization Model for Capacity and Energy Markets Considering the Design of the Capacity Demand Curve

Wenjia Chu, Zeng-Yuan Guo, Yanbin Li, Xu Xie
Smart Grid Energy Management
article

A Bi-level Optimization Model for Capacity and Energy Markets Considering the Design of the Capacity Demand Curve

Wenjia Chu, Zeng-Yuan Guo, Yanbin Li, Xu Xie
article en

Abstract

With the acceleration of China's new power system construction and the push towards a unified national electricity market, the focus has shifted to developing an appropriate capacity market mechanism. This mechanism should ensure sufficient system capacity and effectively promote the investment and construction of various capacity resources. This paper proposes a bi-level optimization model for the capacity and energy markets, considering the design of the capacity demand curve. First, different shapes of the capacity demand curve are modeled to establish a reasonable capacity clearing price. Then, a bi-level optimization model is constructed that accounts for the potential operational benefits of the energy market. By iteratively interacting the clearing results from the upper and lower levels, the optimal capacity resource clearing combination can be achieved. Finally, case analysis shows that the proposed model can avoid overinvestment in capacity resources, achieve better economic efficiency, and promote the construction of renewable energy.

State Grid Corporation of China (China) (CN), Tsinghua Sichuan Energy Internet Research Institute (CN), Tsinghua University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 72%
Smart Grid Energy Management
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.