Demand response-based intelligent control method for home energy management system

An energy management system and intelligent control technology, applied in information technology support systems, data processing applications, instruments, etc., can solve the problems of lack of diversity and freedom, inability to meet different user groups, single power consumption scheme, etc., and achieve overall The effect of load curve improvement, low requirement and good economy

Inactive Publication Date: 2017-11-24
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

Although the existing algorithms all achieve the purpose of reducing electricity costs, they often do not consider the cost of demand response and power interaction. Needs of different user groups, lack of diversity and freedom

Method used

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  • Demand response-based intelligent control method for home energy management system
  • Demand response-based intelligent control method for home energy management system
  • Demand response-based intelligent control method for home energy management system

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Embodiment

[0039] The present invention proposes a mathematical model for energy optimal scheduling of a household energy management system under the premise of considering real-time electricity price and demand response. The model considers a complete system including electricity load, distributed renewable energy, and energy storage equipment in a household. Combined with the real-time electricity price and demand response information provided by the grid side, the excess electricity on the user side can be sold to the grid. Relevant information in the next stage of households: distributed output, real-time electricity prices are all using forecast data, demand response signals from the grid side (the upper limit of power consumption per household unit time), etc., and are transmitted to users in advance before dispatching. Demand response information, the power grid predicts the load in each time period according to the load change, and sends these load prediction signals to users in t...

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Abstract

The invention relates to a demand response-based intelligent control method for a home energy management system. The method comprises the following steps that initial parameters are input, and a population is randomly generated by an initialization operator; a target function for spending the least electricity fee is built, constraint conditions are set, and a fitness model is constructed; the fitness model is solved to obtain the equipment states in all the scheduling time periods, and storage battery charging and discharging are conducted according to the equipment states in the scheduling time periods; a selection operation and a crossover operation are conducted in sequence, whether the population meets the constraint conditions or not is judged, and if not, variation is conducted after population repairing; if yes, variation is directly conducted; and whether the population obtained after variation meets the constraint conditions or not is judged, and if not, population repairing is conducted. Compared with the prior art, the method has the advantages of adopting peak-load shifting to transfer part of the distributed energy generating capacity, being more flexible in application, adopting the repairing method to meet the constraint conditions, being more suitable for some complex non-linear integer model problems and the like.

Description

technical field [0001] The invention relates to an energy intelligent management method, in particular to an intelligent control method for a home energy management system based on demand response. Background technique [0002] According to reports issued by the US Department of Energy and the European Union Energy Commission, in the next ten years, residential and commercial energy consumption will increase by 20-40% of the total global energy consumption, and residential consumers will play a decisive role in the electricity market. With the development and improvement of smart grid and power market, the role of demand-side resources in the competitive market is being re-recognized, demand response is introduced in the power market competition, and the role of demand-side in the market is increased through price signals and incentive mechanisms , and conduct comprehensive resource planning for resources on the supply side and demand side, and demand response for flexible a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/067G06Q50/06Y04S10/50
Inventor 刘娟刘伟庭杨俊杰孙诗晴蔡华泉方子璐刘卷舒彭凡彬丁蓉邢思宇梁林勋
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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