| 注册
首页|期刊导航|电力系统自动化|电力市场环境下抽水蓄能电站容量电费定价与成本分摊方法

电力市场环境下抽水蓄能电站容量电费定价与成本分摊方法

张洪基 丁涛 黄雨涵 谢刘双飞 贺元康 孙骁强

电力系统自动化2024,Vol.48Issue(11):88-99,12.
电力系统自动化2024,Vol.48Issue(11):88-99,12.DOI:10.7500/AEPS20231022001

电力市场环境下抽水蓄能电站容量电费定价与成本分摊方法

Pricing and Cost Allocation Methods for Capacity Charges of Pumped Storage Power Stations in Electricity Market Environment

张洪基 1丁涛 1黄雨涵 1谢刘双飞 1贺元康 2孙骁强2

作者信息

  • 1. 西安交通大学电气工程学院,陕西省西安市 710049
  • 2. 国家电网有限公司西北分部,陕西省西安市 710048
  • 折叠

摘要

Abstract

Pumped storage power stations,as effective flexibility resources for power systems,will become crucial in ensuring the safe and stable operation of new power systems.The formulation of reasonable schemes for recovering the fixed costs of construction of pumped storage power stations is a key issue in supporting system operation and stimulating investment.In the context of marketization operations for pumped storage power stations,this paper constructs a capacity charge pricing model that sequentially integrates the pumped storage power stations into the spot and ancillary service markets,achieving regular recalibration of the unallocated costs of pumped storage power stations with the objective of revenue and expenditure balance during the operation period.Meanwhile,considering the potential entities for allocating the capacity charges of pumped storage power stations,a utility-proportional Vickrey-Clarke-Groves(VCG)mechanism is proposed to allocate costs of the capacity charges of pumped storage power stations,quantify the substitutive benefits of allocation entities on both the source and load sides,and proportionally allocate the capacity charges.Effectiveness of the proposed method is validated through simulation analysis of actual system cases.

关键词

抽水蓄能电站/两部制电价/电力市场/成本分摊/容量电费

Key words

pumped storage power station/two-part electricity price/electricity market/cost allocation/capacity charge

引用本文复制引用

张洪基,丁涛,黄雨涵,谢刘双飞,贺元康,孙骁强..电力市场环境下抽水蓄能电站容量电费定价与成本分摊方法[J].电力系统自动化,2024,48(11):88-99,12.

基金项目

国家电网有限公司西北分部科技项目(SGNW0000JYJS231 0076) (SGNW0000JYJS231 0076)

国家自然科学基金资助项目(52277123). This work is supported by Science and Technology Project of Northwest Branch of State Grid Corporation of China(No.SGNW0000JYJS2310076)and National Natural Science Foundation of China(No.52277123). (52277123)

电力系统自动化

OA北大核心CSTPCD

1000-1026

访问量0
|
下载量0
段落导航相关论文