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主动负荷互动响应行为分析
作者:
作者单位:

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;2.华北电力大学电气与电子工程学院,北京市102206

摘要:

基于主动负荷系统互动需求响应行为的时间过程特征和经济效率特征,提出主动负荷系统互动响应行为特征分析模式;以主动负荷系统响应行为带给用户、电力系统和社会环境三方的经济效益最大为目标,建立响应计划决策模型;解耦响应行为的用能需求、用电需求变化情况,考虑响应行为与分布式可再生能源、主网运行的配合情况,提出评估主动负荷系统互动响应行为物理特征的指标变量。在某含风电的重空调负荷电网中,分别对居民区和商业区风电冰蓄能联合供冷主动负荷系统进行了互动响应计划决策和行为特征分析,验证了所提出的主动负荷响应计划决策模型和响应行为特征评估指标的有效性和特点。

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基金项目:

国家自然科学基金

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作者简介:


Analysis of Active Loads Interaction Response Behavior
Author:
Affiliation:

1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing102206,China;2.School of Electrical and Electronic Engineering,North China Electric Power University,Beijing102206,China

Abstract:

Based on the time process characteristic and economic efficiency characteristic of the civilian active load system's interaction demand response,a behavior analysis mode of active load's interaction response is proposed.A demand response operation-decision model is developed to maximize the profits of users and power industries,even with social welfare taken into account.Then an evaluation index system is proposed that can represent and identify the physical features of the interactive response behavior among usersenergy demands,electricity demands and the cooperation between distributed renewable energy and grid by the decoupling response behaviors between users' energy consuming load and electric load.Finally,the effectiveness of the model and index system proposed is verified by an analysis of the residential and commercial quarters active load system's response behavior in the heavy space cold load grid,respectively,the active load system consisting of cold storage air conditioning and distributed wind generation in the heavy air-conditioning cold load grid.

Keywords:

Foundation:
引用本文
[1]程瑜.主动负荷互动响应行为分析[J].电力系统自动化,2013,37(20):63-70. DOI:10.7500/AEPS201209024.
CHENG Yu. Analysis of Active Loads Interaction Response Behavior[J]. Automation of Electric Power Systems, 2013, 37(20):63-70. DOI:10.7500/AEPS201209024.
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历史
  • 收稿日期:2012-09-04
  • 最后修改日期:2013-09-27
  • 录用日期:2013-05-02
  • 在线发布日期: 2013-09-06
  • 出版日期: