An Analysis of the Determinants of Nodal Prices in the Electricity Spot Market of Hubei Province

The research investigates the main factors affecting nodal prices in the Hubei electricity spot market. A two-way fixed effects panel data model is developed using real-time data from various power generation units. The study empirically analyzes three key variables: total renewable output, total generation output, and total output from non-market-based units. Results show that renewable energy significantly reduces prices due to its low marginal cost and priority dispatch. Total generation output is positively correlated with nodal prices, reflecting supply-demand tightness. Non-market-based generation tends to lower prices by reducing the clearing space for market-based units. These findings provide quantitative support for optimizing pricing mechanisms and dispatch strategies in power markets with high renewable penetration.

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Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/netps65392.2025.11102019
Citations
1
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
0.73
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An Analysis of the Determinants of Nodal Prices in the Electricity Spot Market of Hubei Province

Kun Xiao, Jiangping Liu, Jiaxin Zheng, Feng-Bin Sun
1 citations
Electric Power System Optimization
0.73
article

An Analysis of the Determinants of Nodal Prices in the Electricity Spot Market of Hubei Province

Kun Xiao, Jiangping Liu, Jiaxin Zheng, Feng-Bin Sun
article en
1 citations

Abstract

The research investigates the main factors affecting nodal prices in the Hubei electricity spot market. A two-way fixed effects panel data model is developed using real-time data from various power generation units. The study empirically analyzes three key variables: total renewable output, total generation output, and total output from non-market-based units. Results show that renewable energy significantly reduces prices due to its low marginal cost and priority dispatch. Total generation output is positively correlated with nodal prices, reflecting supply-demand tightness. Non-market-based generation tends to lower prices by reducing the clearing space for market-based units. These findings provide quantitative support for optimizing pricing mechanisms and dispatch strategies in power markets with high renewable penetration.

Ion Exchange (India) (IN), Hubei University of Technology (CN), Hubei University (CN)
Openalex Percentile: Top 25%
Electric Power System Optimization
0.73
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An Analysis of the Determinants of Nodal Prices in the Electricity Spot Market of Hubei Province — Kun Xiao, Jiangping Liu, et al. · (2025) | TGRS Research Map | TGRS