Hossein Khorramdel, Mohsen Gitizadeh, Pierluigi Siano, 等. Evaluating the Economic Impact of Users' Personality on Selection of Demand Response Programs[J]. 中国电机工程学会电力与能源系统学报(英文), 2023,9(3):1036-1050.
Hossein Khorramdel, Mohsen Gitizadeh, Pierluigi Siano, et al. Evaluating the Economic Impact of Users' Personality on Selection of Demand Response Programs[J]. CSEE Journal of Power and Energy Systems, 2023, 9(3): 1036-1050.
Hossein Khorramdel, Mohsen Gitizadeh, Pierluigi Siano, 等. Evaluating the Economic Impact of Users' Personality on Selection of Demand Response Programs[J]. 中国电机工程学会电力与能源系统学报(英文), 2023,9(3):1036-1050.DOI: 10.17775/CSEEJPES.2020.05710.
Hossein Khorramdel, Mohsen Gitizadeh, Pierluigi Siano, et al. Evaluating the Economic Impact of Users' Personality on Selection of Demand Response Programs[J]. CSEE Journal of Power and Energy Systems, 2023, 9(3): 1036-1050.DOI: 10.17775/CSEEJPES.2020.05710.
Evaluating the Economic Impact of Users' Personality on Selection of Demand Response Programs
Demand response creates an opportunity for consumers to play an important role in the development of smart grids. With the advent of renewable energies and their uncertainties
demand response provides a possible solution to resolve these uncertainties. In addition to demand response schemes in the presence of renewable energy
the personality types of consumers can influence the choice of tariffs and change their electricity costs. In this paper
first
household residents with different types of personalities are considered as energy consumers. Secondly
the uncertainty of renewable energy sources is considered for the distributed generations scheduling by using a stochastic method called the Here-and-Now approach and considering three tariffs
time of use
real-time pricing
and direct load control in the residential sector to reduce total costs. Finally
the tariff choice is compared based on people preferences via various personality types
the Myers-Briggs Type Indicator test
and simulations results. Also
a probabilistic unit commitment methodology is used for distributed generations scheduling to minimize the total cost. The financial losses caused by non-optimal tariffs selection are determined through the comparison of tariffs. Simulation results show that time of use and direct load control tariffs are optimal ones in summer and winter seasons
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相关作者
Yingjie Wang
Qi Zeng
Zhongbei Tian
Yuefang Du
Pingliang Zeng
Lin Jiang
Zongyao Zhu
Xiuli Wang
相关机构
Department of Electrical Engineering and Electronics, The University of Liverpool, Liverpool, U.K
School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China
School of Automation, Hangzhou Dianzi University
School of Electrical Engineering, Xi'an Jiaotong University
Department of Electrical Engineering, Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University