Coordinated Dispatch of Power Generation and Spinning Reserve in Power Systems with High Renewable Penetration

The spinning reserve demand in high renewable penetration power systems is increasing significantly due to the stochastic and unpredictable nature of renewable power. This paper defines the expected load not supplied ratio (ELNSR) and models uncertainty factors such as unit forced outage rates, load and wind power output prediction errors based on probability density functions. It derives a quantitative relationship between system operating reserves and the ELNSR and uses this quantitative relationship as a constraint for power generation scheduling. Based on this, a coordinated generation and reserve scheduling model for power systems with large-scale wind power is established. Case study results demonstrate that the proposed model can balance both economy and reliability, coordinate the output allocation between wind power and thermal power, and provide an optimized allocation scheme for operating reserves among thermal power units to meet corresponding reliability requirements.

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Publication Details

Journal
Processes
Published
2024-12-06
DOI
https://doi.org/10.3390/pr12122779
Citations
2
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
0.42
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article

Coordinated Dispatch of Power Generation and Spinning Reserve in Power Systems with High Renewable Penetration

Dazheng Liu, Gang Lü, Jun Zhou, Bo Yuan et al.
2 citations
Processes
Electric Power System Optimization
0.42
article

Coordinated Dispatch of Power Generation and Spinning Reserve in Power Systems with High Renewable Penetration

Dazheng Liu, Gang Lü, Jun Zhou, Bo Yuan, Peng Xia, Cong Wu
article en
2 citations

Abstract

The spinning reserve demand in high renewable penetration power systems is increasing significantly due to the stochastic and unpredictable nature of renewable power. This paper defines the expected load not supplied ratio (ELNSR) and models uncertainty factors such as unit forced outage rates, load and wind power output prediction errors based on probability density functions. It derives a quantitative relationship between system operating reserves and the ELNSR and uses this quantitative relationship as a constraint for power generation scheduling. Based on this, a coordinated generation and reserve scheduling model for power systems with large-scale wind power is established. Case study results demonstrate that the proposed model can balance both economy and reliability, coordinate the output allocation between wind power and thermal power, and provide an optimized allocation scheme for operating reserves among thermal power units to meet corresponding reliability requirements.

ProcessesVol. 12(12)
State Grid Corporation of China (China) (CN), Energy Research Institute (CN)
Affordable and clean energy
Openalex Percentile: Top 36%
Electric Power System Optimization
0.42
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