A Business Model Incorporating Harmonic Control as a Value-Added Service for Utility-Owned Electricity Retailers

Li, Kangping; Mu, Qitian; Wang, Fei; Gao, Yajing; Li, Gang; Shafie‐khah, Miadreza; Catalão, João P.S.; Yang, Yongchun; Ren, Jiafeng

doi:10.1109/tia.2019.2922927

Cited by 47 publications

(9 citation statements)

References 39 publications

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“…e delay in the method in [25] and [26] is higher: the maximum delay of the two systems is 5.39 s and 4.62 s, respectively.…”

Section: Online Consultation Delaymentioning

confidence: 96%

“…By analyzing the system security comparison results shown in Figure 7, it can be seen that during the one-month experiment, the safety factor of the designed system is always higher than that of the two traditional comparison systems, and the safety factor of the designed system is always stable at 0.98, while the safety factor of the WPF-based psychological consultation system and the support vector machine-based psychological consultation system fluctuates greatly, and the downward trend is obvious [25]. e method in [25] and [26] fluctuates greatly. Compared with the method proposed in [25] and [26], the method in this article is relatively stable.…”

Section: System Securitymentioning

confidence: 97%

“…e method in [25] and [26] fluctuates greatly. Compared with the method proposed in [25] and [26], the method in this article is relatively stable. erefore, the designed system can effectively ensure the security of information in the system.…”

Section: System Securitymentioning

confidence: 99%

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Design of Psychological Consultation System Based on Weighted Fuzzy Hybrid Algorithm

2021

Security and Communication Networks

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In order to overcome the problems of low security and high message delay in traditional counseling systems, this article designs and proposes a new counseling system based on the weighted hybrid algorithm. According to the principle of system design, the system architecture diagram and system role are designed. In the hardware part of the system, the user management module, online consultation module, and knowledge base module are designed to realize the psychological consultation function of the system. In the software part, the weighted hybrid algorithm is used to divide the psychological information state of the consultants effectively. Combined with the hardware and software of the system, the overall design of the system is completed. The experimental results show that, compared with the traditional consulting system, the designed system can effectively ensure the information security of consultants and reduce the message delay of the system, which has higher practical application value.

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“…e delay in the method in [25] and [26] is higher: the maximum delay of the two systems is 5.39 s and 4.62 s, respectively.…”

Section: Online Consultation Delaymentioning

confidence: 96%

Section: System Securitymentioning

confidence: 97%

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Design of Psychological Consultation System Based on Weighted Fuzzy Hybrid Algorithm

2021

Security and Communication Networks

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“…The HEMS controller first receives the external information such as the forecasted electricity price and outdoor temperature data for the upcoming 24 h period, as well as the customer settings information such as the valid operation time windows of shiftable appliances, operation durations and preference for different appliances [28]. Subsequently, the HEMS aims to find the best scheduling of all appliances across a finite time horizon of a single day to minimize the daily energy cost whilst achieving maximum satisfaction level [29].…”

Section: B Overview Of the Proposed Hemsmentioning

confidence: 99%

“…Eq. (29) guarantees that a household battery cannot be charged and discharged at the same time. Inequality (30) limits the depth of discharge and guarantees that the battery is not overcharged.…”

Section: ) Model Of Irreplaceable Reducible Appliancesmentioning

confidence: 99%

Day-Ahead Optimal Joint Scheduling Model of Electric and Natural Gas Appliances for Home Integrated Energy Management

Zhang

et al. 2019

IEEE Access

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Home energy management systems (HEMSs) enable residential customers to efficiently participate in demand response programs in order to obtain optimal benefits. Traditional HEMSs only manage household electric appliances to reduce the electricity consumption cost while the optimal scheduling of natural gas appliances has been overlooked. Due to the increasing popularity of natural gas appliances in modern smart homes, the electricity consumption of residential customers connected to the natural gas network is significantly affected by the use of natural gas appliances. To consider the interaction between electric and natural gas appliances in households, a day-ahead optimal joint scheduling model of electric and natural gas appliances for HEMS is proposed. Firstly, all household appliances are classified into several categories and the mathematical model of each appliance is presented. Then, a day-ahead optimal joint scheduling model of both electric and natural gas appliances for HEMS is formulated, in which the objective function is to minimize the household's energy cost and the dissatisfaction level caused by the shifting, reduction and replacement of loads in response to the time varying prices. Case studies using realistic data indicate that the proposed model can save the total energy costs up to 30% for customers whilst ensuring their satisfaction levels. INDEX TERMS Home energy management system, natural gas, demand response, joint scheduling, dissatisfaction. A. SUPERSCRIPTS bch Battery charging bdch Battery discharging dw Dishwasher eac Electric air conditioner el Electric light es Electric stove ev Electric vehicle ewh Electric water heater gahs Gas air heating system The associate editor coordinating the review of this manuscript and approving it for publication was Alexander Micallef. gs Gas stove gwh Gas water heater ua Uncontrollable appliance s Stove wh Water heater wm Washing machine B. INDEXES AND SETS

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Capacity and output power estimation approach of individual behind-the-meter distributed photovoltaic system for demand response baseline estimation

Wang

et al. 2019

Applied Energy

166

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A Business Model Incorporating Harmonic Control as a Value-Added Service for Utility-Owned Electricity Retailers

Cited by 47 publications

References 39 publications

Design of Psychological Consultation System Based on Weighted Fuzzy Hybrid Algorithm

Design of Psychological Consultation System Based on Weighted Fuzzy Hybrid Algorithm

Day-Ahead Optimal Joint Scheduling Model of Electric and Natural Gas Appliances for Home Integrated Energy Management

Capacity and output power estimation approach of individual behind-the-meter distributed photovoltaic system for demand response baseline estimation

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