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考虑附加成本的燃气机组深度调峰及电力系统能源效率

林俐 田欣雨 蔡雪瑄

电力系统自动化2018,Vol.42Issue(11):16-23,8.
电力系统自动化2018,Vol.42Issue(11):16-23,8.DOI:10.7500/AEPS20170914002

考虑附加成本的燃气机组深度调峰及电力系统能源效率

Gas Unit Deep Peak Regulation and Power System Energy Efficiency in Consideration of Conditional Cost

林俐 1田欣雨 1蔡雪瑄1

作者信息

  • 1. 新能源电力系统国家重点实验室(华北电力大学),北京市 102206
  • 折叠

摘要

Abstract

Due to the random uncertainty of the new energy and the imbalance of the source and load distribution,the peak regulation pressure of regional power system is increasing recently.To solve the problem,one feasible way is to utilize the deep peaking ability of gas unit for peak regulation.Peak regulation capacity of the existing gas unit is analyzed.For the two regulation modes of gas unit deep variable load peak and start-stop peak,the additional cost in the process of gas unit deep peak regulation is studied and the gas unit"s whole process peaking cost is proposed.To minimize the generation cost of the system, the economic dispatching model of the power system in consideration of gas unit"s additional cost is established based on the full acceptance of wind power.The economy and feasibility of gas unit participating in deep peak regulation is assessed by the energy efficiency indexes established from the economic,social and environmental perspective.Simulation results for an actual system show that,in the non-heating period,the gas unit should operate in the deep peak regulation state when the system energy optimization and environmental factors are considered.The economic dispatching mechanism should be constructed when considering the additional cost of the gas unit to improve the overall energy efficiency of the power system.

关键词

燃气机组/深度调峰能力/深度调峰附加成本/经济调度/能源效率

Key words

gas unit/deep peak regulation capacity/additional cost of deep peak regulation/economic dispatch/energy efficiency

引用本文复制引用

林俐,田欣雨,蔡雪瑄..考虑附加成本的燃气机组深度调峰及电力系统能源效率[J].电力系统自动化,2018,42(11):16-23,8.

基金项目

能源基金会(美国)项目(G-1403-20188) (美国)

国家自然科学基金重大项目(51190103).This work is supported by Energy Foundation of U.S.(No.G-1403-20188) and Major Program of National Natural Science Foundation of China(No.51190103). (51190103)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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