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负荷聚合商的多家庭用电能量控制与管理策略

黄海涛 朱丰泽 李小玉 王燕 赵文会

电力建设2018,Vol.39Issue(1):54-60,7.
电力建设2018,Vol.39Issue(1):54-60,7.DOI:10.3969/j.issn.1000-7229.2018.01.007

负荷聚合商的多家庭用电能量控制与管理策略

Multi-Families Electricity Energy Control and Management Strategy for Load Aggregator

黄海涛 1朱丰泽 1李小玉 1王燕 1赵文会1

作者信息

  • 1. 上海电力学院,上海市200090
  • 折叠

摘要

Abstract

Load aggregators can integrate many water heaters and air conditioners as demand response (DR) resource,and through the direct load control (DLC) participate in the bidding market demand.This paper studies the LA for more electricity energy control and management strategy.First of all,based on the water heater and air conditioning load thermal dynamic model and the single machine control cycle,taking temperature variation parameters and characteristic temperature difference as characteristics and balancing the dispersibility of thermodynamic parameters,we use clustering analysis and Gaussian distribution method to propose the grouping strategy of the water heater and air conditioning group control strategy.Then,we establish the controllable capacity prediction model of multi-family DLC according to the characteristics of each control cycle.In the end,according to the control of multi-family water heater and air conditioners,we construct the model to minimize the actual reduction of load and the deviation of the scheduling plan,so as to maximize the interests of the LA.Numerical example results show that the proposed control strategy can fully exert much DR to the potential of water heaters and air conditioners,reduce the total load fluctuation of controlled electric appliance,improve LA profits,and has the characteristics of small number of groups,simple control mode and easy operation.

关键词

需求响应(DR)/热水器、空调负荷/分组控制/直接负荷控制(DLC)/负荷聚合商(LA)

Key words

demand response (DR)/water heater and air conditioning load/packet control/direct load control (DLC)/load aggregator (LA)

分类

信息技术与安全科学

引用本文复制引用

黄海涛,朱丰泽,李小玉,王燕,赵文会..负荷聚合商的多家庭用电能量控制与管理策略[J].电力建设,2018,39(1):54-60,7.

基金项目

国家自然科学基金项目(71203137 ()

71403163)Project supported by National Natural Science Foundation of China (71203137 ()

71403163) ()

电力建设

OA北大核心CSTPCD

1000-7229

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