Various wearable equipment enables us to measure people behavior by physiological signals.In our research,we present one galvanic skin reaction(GSR)wearable sensor which can analyze human emotions based on cognition r...Various wearable equipment enables us to measure people behavior by physiological signals.In our research,we present one galvanic skin reaction(GSR)wearable sensor which can analyze human emotions based on cognition reappraisal.First,We research the factors of emotional state transition in Arousal-Valence-Stance(AVS)emotional space.Second,the influence of the cognition on emotional state transition is considered,and the reappraisal factor based on Gross regulation theory is established to correct the effectiveness from cognitive reappraisal ability to emotional state transition.Third,based on the previous work,we establish a GSR emotion sensing system for predicting emotional state transition and considering the correlation between GSR signals and emotions.Finally,an overall wearable sensor layout is built.In the experiment part,we invited 30 college students to wear our GSR sensors and watch 14 kinds of affective videos.We recorded their GSR signals while asking them to record their emotional states synchronously.The experiment results show different reappraisal factors can predict subjects’emotional state transition well and indirectly confirm the feasibility of the Gross regulation theory.展开更多
This paper proposes a coordinated frequency control scheme for emergency frequency regulation of isolated power systems with a high penetration of wind power.The proposed frequency control strategy is based on the nov...This paper proposes a coordinated frequency control scheme for emergency frequency regulation of isolated power systems with a high penetration of wind power.The proposed frequency control strategy is based on the novel nonlinear regulator theory,which takes advantage of nonlinearity of doubly fed induction generators(DFIGs)and generators to regulate the frequency of the power system.Frequency deviations and power imbalances are used to design nonlinear feedback controllers that achieve the reserve power distribution between generators and DFIGs,in various wind speed scenarios.The effectiveness and dynamic performance of the proposed nonlinear coordinated frequency control method are validated through simulations in an actual isolated power grid.展开更多
Direct wind power purchase for large industrial users is a meaningful way to improve wind power consumption and decrease industrial production costs.Short-term wind power fluctuations may lead to large-scale wind powe...Direct wind power purchase for large industrial users is a meaningful way to improve wind power consumption and decrease industrial production costs.Short-term wind power fluctuations may lead to large-scale wind power curtailment problems.To promote use of wind energy,a demand side control method is proposed based on output regulator theory for a grid-connected industrial microgrid with electrolytic aluminum loads to continuously track and respond to wind power fluctuations.The control model of the EALs and the dominant frequencies of the wind power fluctuation signals are analyzed and incorporated into the demand side control plant.The feedback control signals with active power deviations on the tie-line are used to design the demand side controller.Simulations are conducted for an actual industrial microgrid to validate the feasibility and effectiveness of the proposed method.The results demonstrate that the proposed controller based on output regulator theory is able to effectively track wind power fluctuations.展开更多
基金supported in part by the National Key Research&Development Plan of China under Grant No.2016YFB1001404in part by the National Natural Science Foundation of China(No.61432004,61672093).
文摘Various wearable equipment enables us to measure people behavior by physiological signals.In our research,we present one galvanic skin reaction(GSR)wearable sensor which can analyze human emotions based on cognition reappraisal.First,We research the factors of emotional state transition in Arousal-Valence-Stance(AVS)emotional space.Second,the influence of the cognition on emotional state transition is considered,and the reappraisal factor based on Gross regulation theory is established to correct the effectiveness from cognitive reappraisal ability to emotional state transition.Third,based on the previous work,we establish a GSR emotion sensing system for predicting emotional state transition and considering the correlation between GSR signals and emotions.Finally,an overall wearable sensor layout is built.In the experiment part,we invited 30 college students to wear our GSR sensors and watch 14 kinds of affective videos.We recorded their GSR signals while asking them to record their emotional states synchronously.The experiment results show different reappraisal factors can predict subjects’emotional state transition well and indirectly confirm the feasibility of the Gross regulation theory.
基金supported by National Natural Science Foundation of China(U2066601).
文摘This paper proposes a coordinated frequency control scheme for emergency frequency regulation of isolated power systems with a high penetration of wind power.The proposed frequency control strategy is based on the novel nonlinear regulator theory,which takes advantage of nonlinearity of doubly fed induction generators(DFIGs)and generators to regulate the frequency of the power system.Frequency deviations and power imbalances are used to design nonlinear feedback controllers that achieve the reserve power distribution between generators and DFIGs,in various wind speed scenarios.The effectiveness and dynamic performance of the proposed nonlinear coordinated frequency control method are validated through simulations in an actual isolated power grid.
基金supported by Science and Technology Project of State Grid Corporation of China (5100-202199286A-0-0-00).
文摘Direct wind power purchase for large industrial users is a meaningful way to improve wind power consumption and decrease industrial production costs.Short-term wind power fluctuations may lead to large-scale wind power curtailment problems.To promote use of wind energy,a demand side control method is proposed based on output regulator theory for a grid-connected industrial microgrid with electrolytic aluminum loads to continuously track and respond to wind power fluctuations.The control model of the EALs and the dominant frequencies of the wind power fluctuation signals are analyzed and incorporated into the demand side control plant.The feedback control signals with active power deviations on the tie-line are used to design the demand side controller.Simulations are conducted for an actual industrial microgrid to validate the feasibility and effectiveness of the proposed method.The results demonstrate that the proposed controller based on output regulator theory is able to effectively track wind power fluctuations.
