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面向极端高温场景的新型电力系统供需平衡能力概率化评估

ZHENG Haifeng LIU Qing YAO Li ZHANG Yu ZOU Yichao HU Zhenda WANG Yang DAI Tanlong

中国电力2026,Vol.59Issue(1):44-56,13.
中国电力2026,Vol.59Issue(1):44-56,13.DOI:10.11930/j.issn.1004-9649.202504041

面向极端高温场景的新型电力系统供需平衡能力概率化评估

Probabilistic assessment of supply-demand balance capability in new power systems for extreme high temperature scenarios

ZHENG Haifeng 1LIU Qing 1YAO Li 1ZHANG Yu 1ZOU Yichao 2HU Zhenda 2WANG Yang 3DAI Tanlong3

作者信息

  • 1. State Grid Energy Research Institute Co.,Ltd.,Beijing 102209,China
  • 2. Economic and Technical Research Institute of State Grid Fujian Electric Power Co.,Ltd.,Fuzhou 350003,China
  • 3. National Climate Center,Beijing 100081,China
  • 折叠

摘要

Abstract

Under the background of global warming,the frequency,intensity and impact range of extreme high temperature weather continue to expand.Coupled with the continuous increase in the number of air conditioners and the increasing proportion of installed capacity of wind and solar power,the impact of extreme high temperature on the power supply-demand of new power systems is becoming increasingly significant.A probabilistic assessment method for supply-demand balance capacity of new power systems is proposed and applied to the medium and long-term power system production simulation.Firstly,a set of joint wind-solar-load scenarios is constructed based on a three-dimensional Gaussian Copula function to characterize the relationship between variables.Then,integrated with a power system production simulation model,the dispatch strategies of generation units and the utilization of demand-side resources are optimized aiming at minimizing the operational costs.Finally,an assessment index system for supply-demand balance capability is established,encompassing the dimensions of security&adequacy,flexibility&controllability,cleanliness&low-carbon,and economic efficiency.The analytic hierarchy process(AHP)is employed to set the weights for these indicators,and the kernel density estimation(KDE)is adopted to generate the probability density curve of the supply-demand balance capability,which reveals its probabilistic distribution charac-teristics and quantifies the likelihood of occurrence for different levels of balance capability.This method is applied to a province in South China to conduct studies for the years 2030,2040,and 2050.The results indicate an overall enhancement in the supply-demand balance capability of the new power systems,primarily driven by improvements in the flexibility&controllability and cleanliness&low-carbon dimensions.The specific outcomes of the province by 2050 include an increase in the utilization rate of pumped storage to 34.6%and a reduction in the carbon emission intensity per unit of electricity to 0.27 kg/(kW·h).Conversely,a decline is observed in the security&adequacy and economic efficiency dimensions.By 2050,the average reserve margin is projected to decrease to 7.1%,while the average levelized cost of electricity is expected to rise to 0.56 RMB yuan/(kW·h).

关键词

极端高温/新型电力系统/供需平衡能力/概率化评估

Key words

extreme high temperature/new power system/supply-demand balance capability/probabilistic assessment

引用本文复制引用

ZHENG Haifeng,LIU Qing,YAO Li,ZHANG Yu,ZOU Yichao,HU Zhenda,WANG Yang,DAI Tanlong..面向极端高温场景的新型电力系统供需平衡能力概率化评估[J].中国电力,2026,59(1):44-56,13.

基金项目

国家电网有限公司科技项目(考虑极端天气影响的新型电力系统供需模拟与平衡能力评估关键技术研究,1400-202357631A-3-2-ZN). This work is supported by Science and Technology Project of SGCC(Research on Key Technologies for Supply and Demand Simulation and Balance Capacity Assessment of New Power Systems Considering the Impact of Extreme Weather,No.1400-202357631A-3-2-ZN). (考虑极端天气影响的新型电力系统供需模拟与平衡能力评估关键技术研究,1400-202357631A-3-2-ZN)

中国电力

1004-9649

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