中国电力 ›› 2019, Vol. 52 ›› Issue (3): 61-67,119.DOI: 10.11930/j.issn.1004-9649.201804032

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计及电源结构时空特性的电能替代评价

张新鹤1, 宋阳2, 黄伟1, 屈博1   

  1. 1. 中国电力科学研究院有限公司, 北京 100192;
    2. 东南大学 电气工程学院, 江苏 南京 210096
  • 收稿日期:2018-04-10 修回日期:2018-11-21 出版日期:2019-03-05 发布日期:2019-03-27
  • 作者简介:张新鹤(1990-),女,硕士,工程师,从事电能替代政策、电力需求侧管理研究,E-mail:zhangxinhe@epri.sgcc.com.cn;宋阳(1992-),女,硕士,从事电力需求侧管理、电能替代研究,E-mail:sy_seu16@foxmail.com;黄伟(1980-),男,硕士,工程师,从事能效测评、综合能源服务、电能替代研究,E-mail:huangwei2@epri.sgcc.com.cn;屈博(1985-),男,硕士,工程师,从事综合能源优化、电能替代研究,E-mail:qubo@epri.sgcc.com.cn
  • 基金资助:
    国家电网公司总部科技项目(新型节能项目的碳减排效果量化分析服务)。

Evaluation of Electric Power Replacement Considering Spatiotemporal Characteristics of Power Source Structure

ZHANG Xinhe1, SONG Yang2, HUANG Wei1, QU Bo1   

  1. 1. China Electric Power Research Institute, Beijing 100192, China;
    2. School of Electrical Engineering, Southeast University, Nanjing 210096, China
  • Received:2018-04-10 Revised:2018-11-21 Online:2019-03-05 Published:2019-03-27

摘要: 现有需求侧管理节能评价方法无法量化由终端设备用能种类改变产生的节能效果,传统电能替代评价方法无法计及基于电力网络潮流的真实电源结构对评估结果的影响。建立了一种计及电力网络、电源结构和用户用电方式的电能替代节能减排评价模型,提出和推导了计及清洁能源消纳的电力能耗系数和电力煤耗系数,用于表征电力系统能耗水平,并从用能全过程的角度量化广义节能下的电能替代项目节能量和减排量。算例分析了电力能耗和煤耗系数的时空特性,建立典型场景数据库,以电动汽车为代表说明通过需求响应和储能优化电能替代项目的运行对评估指标具有积极影响。

关键词: 电源结构, 广义节能, 能耗系数, 时空特性

Abstract: The existing evaluation method for demand-side management energy-saving cannot quantify the energy-saving produced by the change of the energy types of the terminal equipment, and the traditional electric power replacement evaluation method cannot take into account the influence of the real power source structure based on the power network flow. An energy-saving and emission-reduction evaluation model is established, which takes into account the power network, power source structure and electricity use mode. The energy consumption coefficient of electricity (ECCE) and coal consumption coefficient of electricity (CCCE), which characterize the energy consumption level of the power system, are proposed and deduced. The energy saving and emission reductions of electric power replacement project are quantified from the perspective of whole process based on generalized energy saving. The spatiotemporal characteristics of ECCE and CCCE are studied through case study, and a typical scenario database is established. Through demonstration of electric vehicle (EV), the operation of electric power replacement project optimized through demand response and energy storage has positive impact on evaluation index.

Key words: power source structure, generalized energy saving, energy consumption coefficient, spatiotemporal characteristics

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