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Double-layer coordination optimization method based on online intelligent household electrical appliance demand response potential

A technology of demand response and coordinated optimization, applied in adaptive control, control/regulation systems, instruments, etc.

Inactive Publication Date: 2017-12-19
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Purpose of the invention: The purpose of the present invention is mainly aimed at the problems and deficiencies of the current smart home appliance response strategy, and proposes a method that makes full use of the online demand response potential of smart home appliances, and sets the system power limit method of distribution

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  • Double-layer coordination optimization method based on online intelligent household electrical appliance demand response potential
  • Double-layer coordination optimization method based on online intelligent household electrical appliance demand response potential
  • Double-layer coordination optimization method based on online intelligent household electrical appliance demand response potential

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Embodiment

[0062] Taking smart home appliances used by users in residential areas as the research object, it is assumed that the community belongs to 10 load aggregators, including 1000 households, each household has smart home appliances, and the total photovoltaic power of the community is 3.3MW. Smart home appliances include air conditioners, water heaters and electric vehicles with rated power of 3kW, 4kW and 3.3kW respectively, and the battery capacity of the electric vehicle is 33kWh. According to the user's satisfaction with the comfort of each smart home appliance, the room temperature is 19-24°C, the water temperature is 44-50°C, and the electric vehicle needs to be charged to meet the SOC of not less than 0.95 before 6:00am the next day. In order to analyze the DR potential of smart home appliances and the factors influencing the potential, Table 1 lists the different parameters of each load aggregator.

[0063] Table 1 Parameter setting of each load aggregator

[0064]

[...

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Abstract

The invention discloses a double-layer coordination optimization method based on online intelligent household electrical appliance demand response potential. Participation objects comprise a scheduling center, load aggregators, intelligent household electrical appliances and a user. The optimization method comprises steps that upper-level and lower-level strategies are included, for the upper-level strategy, firstly, demand response potential states of the intelligent household electrical appliances are determined according to operation characteristics of the intelligent household electrical appliances, present work states and an comfort level interval set by the user, and total demand response potential of the load aggregators is further acquired; limited power required by a system is distributed by the scheduling center to each load aggregator according to the proportions of the total demand response potential of each load aggregator to sum of demand response potential of all the load aggregators. For the lower-level strategy, the comfort level of the intelligent household electrical appliances and response frequency are considered, and the limited power is fairly and reasonably distributed to each household electrical appliance by each load aggregator. The method is advantaged in that fairness among the load aggregators is guaranteed, and demand response requirements of the scheduling center can be effectively satisfied.

Description

technical field [0001] The invention relates to a demand response coordination control method, which belongs to the technical field of demand response intelligent control, and specifically relates to a two-layer coordination optimization method based on the online demand response potential of smart home appliances. Background technique [0002] In order to achieve the balance of power supply and demand, the traditional method is that the power company determines the power generation capacity according to the forecasted power load, so as to meet the power demand level. Although this method can meet the electricity demand during peak hours, a large number of backups are idle during off-peak hours, which greatly reduces the efficiency of generators and causes waste of resources. At the same time, the emergence of the energy crisis has led to a sharp rise in the price of fossil fuels. Western countries have launched explorations and practices to solve the contradiction between p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/02
CPCG05B13/024
Inventor 宁佳汤奕陈倩高丙团
Owner SOUTHEAST UNIV
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