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

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...

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Published in:	IEEE transactions on industrial informatics Vol. 15; no. 8; pp. 4742 - 4752
Main Authors:	Ma, Kai, Yu, Yangqing, Yang, Bin, Yang, Jie
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.08.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptation models Algorithms Buildings Computer simulation Demand response (DR) Electricity pricing Energy management Gradient algorithm Heating Heating and ventilation Heating systems HVAC Optimization Oscillations Oscillators Price oscillations Residential buildings Residential energy Schedules Supply & demand Ventilation
ISSN:	1551-3203, 1941-0050, 1941-0050
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Abstract	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.
AbstractList	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.
Author	Yang, Jie Yu, Yangqing Ma, Kai Yang, Bin
Author_xml	– sequence: 1 givenname: Kai orcidid: 0000-0003-3517-5620 surname: Ma fullname: Ma, Kai email: kma@ysu.edu.cn organization: School of Electrical Engineering, Yanshan University, Qinhuangdao, China – sequence: 2 givenname: Yangqing surname: Yu fullname: Yu, Yangqing email: yyq_0802@163.com organization: School of Electrical Engineering, Yanshan University, Qinhuangdao, China – sequence: 3 givenname: Bin surname: Yang fullname: Yang, Bin email: yangbin@xauat.edu.cn organization: School of Building Services Science and Engineering, Xi'an University of Architecture and Technology, Xi'an, China – sequence: 4 givenname: Jie orcidid: 0000-0003-4909-9120 surname: Yang fullname: Yang, Jie email: jyangysu@ysu.edu.cn organization: School of Electrical Engineering, Yanshan University, Qinhuangdao, China
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SubjectTerms	Adaptation models Algorithms Buildings Computer simulation Demand response (DR) Electricity pricing Energy management Gradient algorithm Heating Heating and ventilation Heating systems HVAC Optimization Oscillations Oscillators Price oscillations Residential buildings Residential energy Schedules Supply & demand Ventilation
Title	Demand-Side Energy Management Considering Price Oscillations for Residential Building Heating and Ventilation Systems
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