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Demand-Side Energy Management Considering Price Oscillations for Residential Building Heating and Ventilation Systems

Ma, Kai (author)
Yu, Yangqing (author)
Yang, Bin (author)
School of Building Services Science and Engineering, Xi’an University of Architecture and Technology, Xi’an, China
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Yang, Jie (author)
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 (creator_code:org_t)
2019
2019
English.
In: IEEE Transactions on Industrial Informatics. - : IEEE. - 1551-3203 .- 1941-0050.
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • This paper presents an energy management method to optimally control the energy supply and the temperature settings of distributed heating and ventilation systems for residential buildings. The control model attempts to schedule the supply and demand simultaneously with the purpose of minimizing the total costs. Moreover, the Predicted Percentage of Dissatisfied (PPD) model is introduced into the consumers' cost functions and the quadratic fitting method is applied to simplify the PPD model. An energy management algorithm is developed to seek the optimal temperature settings, the energy supply and the price. Furthermore, due to the ubiquity of price oscillations in electricity markets, we analyze and examine the effects of price oscillations on the performance of the proposed algorithm. Finally, the theoretical analysis and simulation results both demonstrate that the proposed energy management algorithm with price oscillations can converge to a region around the optimal solution.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Husbyggnad (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Building Technologies (hsv//eng)

Keyword

Energy management
Demand response (DR)
Heating and ventilation
Price oscillations
Gradient algorithm

Publication and Content Type

ref (subject category)
art (subject category)

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Ma, Kai
Yu, Yangqing
Yang, Bin
Yang, Jie
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ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Civil Engineerin ...
and Building Technol ...
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By the university
Umeå University

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