Low-voltage distribution systems in our country are mostly used in agricultural loads and household loads. The value and using time of these kinds of loads are uncontrollable, which lead to the three-phase imbalance i...Low-voltage distribution systems in our country are mostly used in agricultural loads and household loads. The value and using time of these kinds of loads are uncontrollable, which lead to the three-phase imbalance in low-voltage distribution system, and seriously affect the quality of power supply. A new type of the commutation system and an improved quantum genetic algorithm (IQGA) are proposed in the paper. At last, the rationality and the efficiency of the method are verified by a practical example.展开更多
The difference in electricity and power usage time leads to an unbalanced current among the three phases in the power grid.The three-phase unbalanced is closely related to power planning and load distribution.When the...The difference in electricity and power usage time leads to an unbalanced current among the three phases in the power grid.The three-phase unbalanced is closely related to power planning and load distribution.When the unbalance occurs,the safe operation of the electrical equipment will be seriously jeopardized.This paper proposes a Hierarchical Temporal Memory(HTM)-based three-phase unbalance prediction model consisted by the encoder for binary coding,the spatial pooler for frequency pattern learning,the temporal pooler for pattern sequence learning,and the sparse distributed representations classifier for unbalance prediction.Following the feasibility of spatial-temporal streaming data analysis,we adopted this brain-liked neural network to a real-time prediction for power load.We applied the model in five cities(Tangshan,Langfang,Qinhuangdao,Chengde,Zhangjiakou)of north China.We experimented with the proposed model and Long Short-term Memory(LSTM)model and analyzed the predict results and real currents.The results show that the predictions conform to the reality;compared to LSTM,the HTM-based prediction model shows enhanced accuracy and stability.The prediction model could serve for the overload warning and the load planning to provide high-quality power grid operation.展开更多
This paper presents a TOPF （three-phase optimal power flow） model that represents photovoltaic systems. The PV plant is modeled in the TOPF as active and reactive power source. Reactive power can be generated or abs...This paper presents a TOPF （three-phase optimal power flow） model that represents photovoltaic systems. The PV plant is modeled in the TOPF as active and reactive power source. Reactive power can be generated or absorbed using the available capacity and the adjustable power factor of the inverter. The reduction of unbalance voltage and losses in the distribution systems is obtained by actions of reactive power control of the inverter. The TOPF is formulated by current balance equations and the PV systems are modeled via an equivalent circuit. The primal-dual interior point method is used to obtain the optimal operating points for the systems for different scenarios of solar irradiance and temperature, thus providing a detailed view of the impact of photovoltaic distributed generation.展开更多
The increasing integration of distributed household photovoltaics(PVs)and electric vehicles(EVs)may further ag gravate voltage violations and unbalance of low-voltage distribu tion networks(LVDNs).DC distribution netw...The increasing integration of distributed household photovoltaics(PVs)and electric vehicles(EVs)may further ag gravate voltage violations and unbalance of low-voltage distribu tion networks(LVDNs).DC distribution networks can increase the accommodation of PVs and EVs and mitigate mutilple pow er quality problems by the flexible power regulation capability of voltage source converters.This paper proposes schemes to es tablish hybrid AC/DC LVDNs considering the conversion of the existing three-phase four-wire low-voltage AC systems to DC op eration.The characteristics and DC conversion constraints of typical LVDNs are analyzed.In addition,converter configura tions for typical LVDNs are proposed based on the three-phase four-wire characteristics and quantitative analysis of various DC configurations.Moreover,an optimal planning method of hybrid AC/DC LVDNs is proposed,which is modeled as a bi-level programming model considering the annual investments and three-phase unbalance.Simulations are conducted to verify the effectiveness of the proposed optimal planning method.Sim ulation results show that the proposed optimal planning method can increase the integration of PVs while simultaneously reduc ing issues related to voltage violation and unbalance.展开更多
Microgrid(MG) is generally developed at utility terminal which contains lots of unbalanced loads and distributed generations(DGs). The interaction between MG and the unbalance loads or DGs will degrades the control pe...Microgrid(MG) is generally developed at utility terminal which contains lots of unbalanced loads and distributed generations(DGs). The interaction between MG and the unbalance loads or DGs will degrades the control performance of interfaced inverter in MG and dramatically leads to MG voltage unbalance. In this paper, a negative-sequence compensation based three-phase voltage unified correction strategy is proposed. While MG operates in islanded mode, a positive virtual impedance control is used to eliminate the negative voltage resulted from the negative-sequence current,and then a positive-sequence voltage control loop and negative-sequence control loop are used to improve the inverter control performance. While MG operates in grid-tied mode,the inverter operates as a negative-sequence current source to compensate the negative-sequence currents of loads to guarantee the point of common coupling(PCC) voltage balance.By using the proposed strategy, the voltage control performance of inverter can be improved;the MG power quality can be enhanced significantly. Simulation and experimental results verify the effectiveness of the proposed method.展开更多
In chronic schizophrenia, synaptic information processing is unbalanced, as shown in a model of glial-neuronal synaptic units, called tripartite synapses. The glial component of the synapse exerts a modifying function...In chronic schizophrenia, synaptic information processing is unbalanced, as shown in a model of glial-neuronal synaptic units, called tripartite synapses. The glial component of the synapse exerts a modifying function in neurotransmission since the astrocyte activated by neurotransmitters produces gliotransmitters that negatively feedback to the presynapse. It is hypothesized that in schizophrenia nonfunctional astrocytic receptors cannot be activated, thus losing their modulating function. This causes a generalization of information processing in the neuronal networks such that the brain is unable to distinguish between subjects and objects in the environment. Delusions, hallucinations and cognitive impairment occur on the behavioral level. In a model of a cholinergic tripartite synapse, it is shown that glial binding proteins modify neurotransmission by occupancy with cognate neurotransmitters temporarily turning off neurotransmission on the presynapse. Most recently, glial binding proteins have been engineered. It is proposed that the substitution of glial binding proteins may balance synaptic information processing in schizophrenia since these proteins exert a modulatory function comparable to functional astrocytic receptors. Rap- id technical developments may enable this novel treatment approach in schizophrenia.展开更多
Phase unbalance is widespread in the distribution networks in the UK,continental Europe,US,China,and other countries and regions.This paper first reviews the mass scale of phase unbalance and its causes and consequenc...Phase unbalance is widespread in the distribution networks in the UK,continental Europe,US,China,and other countries and regions.This paper first reviews the mass scale of phase unbalance and its causes and consequences.Three challenges arise from phase rebalancing:the scalability,data scarcity,and adaptability(towards changing unbalance over time).Solutions to address the challenges are:1)using retrofit table,maintenance-free,automatic solutions to overcome the scalability challenge;2)using data analytics to overcome the data-scarcity challenge;and 3)using phase balancers or other online phase rebalancing solutions to overcome the adaptability challenge.This paper categorizes existing phase rebalancing solutions into three classes:1)load/lateral re-phasing;2)using phase balancers;3)controlling energy storage,electric vehicles,distributed generation,and micro-grids for phase rebalancing.Their advantages and limitations are analyzed and ways to overcome their limitations are recommended.Finally,this paper suggests future research topics:1)long-term forecast of phase unbalance;2)the whole-system analysis of the unbalance-induced costs;3)the phase unbalance diagnosis for data-scarce LV networks;4)techno-commercial solutions to exploit the flexibility from large three-phase customers for phase balancing;5)the optimal placement of phase balancers;6)the transition from single-phase customers to three-phase customers.展开更多
文摘Low-voltage distribution systems in our country are mostly used in agricultural loads and household loads. The value and using time of these kinds of loads are uncontrollable, which lead to the three-phase imbalance in low-voltage distribution system, and seriously affect the quality of power supply. A new type of the commutation system and an improved quantum genetic algorithm (IQGA) are proposed in the paper. At last, the rationality and the efficiency of the method are verified by a practical example.
基金This study is supported by the National Natural Science Foundation of China(No.61801019).
文摘The difference in electricity and power usage time leads to an unbalanced current among the three phases in the power grid.The three-phase unbalanced is closely related to power planning and load distribution.When the unbalance occurs,the safe operation of the electrical equipment will be seriously jeopardized.This paper proposes a Hierarchical Temporal Memory(HTM)-based three-phase unbalance prediction model consisted by the encoder for binary coding,the spatial pooler for frequency pattern learning,the temporal pooler for pattern sequence learning,and the sparse distributed representations classifier for unbalance prediction.Following the feasibility of spatial-temporal streaming data analysis,we adopted this brain-liked neural network to a real-time prediction for power load.We applied the model in five cities(Tangshan,Langfang,Qinhuangdao,Chengde,Zhangjiakou)of north China.We experimented with the proposed model and Long Short-term Memory(LSTM)model and analyzed the predict results and real currents.The results show that the predictions conform to the reality;compared to LSTM,the HTM-based prediction model shows enhanced accuracy and stability.The prediction model could serve for the overload warning and the load planning to provide high-quality power grid operation.
文摘This paper presents a TOPF （three-phase optimal power flow） model that represents photovoltaic systems. The PV plant is modeled in the TOPF as active and reactive power source. Reactive power can be generated or absorbed using the available capacity and the adjustable power factor of the inverter. The reduction of unbalance voltage and losses in the distribution systems is obtained by actions of reactive power control of the inverter. The TOPF is formulated by current balance equations and the PV systems are modeled via an equivalent circuit. The primal-dual interior point method is used to obtain the optimal operating points for the systems for different scenarios of solar irradiance and temperature, thus providing a detailed view of the impact of photovoltaic distributed generation.
基金supported by the National Key Research and Development Program of China(No.2019YFE0118400).
文摘The increasing integration of distributed household photovoltaics(PVs)and electric vehicles(EVs)may further ag gravate voltage violations and unbalance of low-voltage distribu tion networks(LVDNs).DC distribution networks can increase the accommodation of PVs and EVs and mitigate mutilple pow er quality problems by the flexible power regulation capability of voltage source converters.This paper proposes schemes to es tablish hybrid AC/DC LVDNs considering the conversion of the existing three-phase four-wire low-voltage AC systems to DC op eration.The characteristics and DC conversion constraints of typical LVDNs are analyzed.In addition,converter configura tions for typical LVDNs are proposed based on the three-phase four-wire characteristics and quantitative analysis of various DC configurations.Moreover,an optimal planning method of hybrid AC/DC LVDNs is proposed,which is modeled as a bi-level programming model considering the annual investments and three-phase unbalance.Simulations are conducted to verify the effectiveness of the proposed optimal planning method.Sim ulation results show that the proposed optimal planning method can increase the integration of PVs while simultaneously reduc ing issues related to voltage violation and unbalance.
基金supported by the project of China Electric Power Research Institute(No.GYB51201404488)National High Technology Research and Development Program of China(863 Program)(No.2015AA050606)
文摘Microgrid(MG) is generally developed at utility terminal which contains lots of unbalanced loads and distributed generations(DGs). The interaction between MG and the unbalance loads or DGs will degrades the control performance of interfaced inverter in MG and dramatically leads to MG voltage unbalance. In this paper, a negative-sequence compensation based three-phase voltage unified correction strategy is proposed. While MG operates in islanded mode, a positive virtual impedance control is used to eliminate the negative voltage resulted from the negative-sequence current,and then a positive-sequence voltage control loop and negative-sequence control loop are used to improve the inverter control performance. While MG operates in grid-tied mode,the inverter operates as a negative-sequence current source to compensate the negative-sequence currents of loads to guarantee the point of common coupling(PCC) voltage balance.By using the proposed strategy, the voltage control performance of inverter can be improved;the MG power quality can be enhanced significantly. Simulation and experimental results verify the effectiveness of the proposed method.
文摘In chronic schizophrenia, synaptic information processing is unbalanced, as shown in a model of glial-neuronal synaptic units, called tripartite synapses. The glial component of the synapse exerts a modifying function in neurotransmission since the astrocyte activated by neurotransmitters produces gliotransmitters that negatively feedback to the presynapse. It is hypothesized that in schizophrenia nonfunctional astrocytic receptors cannot be activated, thus losing their modulating function. This causes a generalization of information processing in the neuronal networks such that the brain is unable to distinguish between subjects and objects in the environment. Delusions, hallucinations and cognitive impairment occur on the behavioral level. In a model of a cholinergic tripartite synapse, it is shown that glial binding proteins modify neurotransmission by occupancy with cognate neurotransmitters temporarily turning off neurotransmission on the presynapse. Most recently, glial binding proteins have been engineered. It is proposed that the substitution of glial binding proteins may balance synaptic information processing in schizophrenia since these proteins exert a modulatory function comparable to functional astrocytic receptors. Rap- id technical developments may enable this novel treatment approach in schizophrenia.
文摘Phase unbalance is widespread in the distribution networks in the UK,continental Europe,US,China,and other countries and regions.This paper first reviews the mass scale of phase unbalance and its causes and consequences.Three challenges arise from phase rebalancing:the scalability,data scarcity,and adaptability(towards changing unbalance over time).Solutions to address the challenges are:1)using retrofit table,maintenance-free,automatic solutions to overcome the scalability challenge;2)using data analytics to overcome the data-scarcity challenge;and 3)using phase balancers or other online phase rebalancing solutions to overcome the adaptability challenge.This paper categorizes existing phase rebalancing solutions into three classes:1)load/lateral re-phasing;2)using phase balancers;3)controlling energy storage,electric vehicles,distributed generation,and micro-grids for phase rebalancing.Their advantages and limitations are analyzed and ways to overcome their limitations are recommended.Finally,this paper suggests future research topics:1)long-term forecast of phase unbalance;2)the whole-system analysis of the unbalance-induced costs;3)the phase unbalance diagnosis for data-scarce LV networks;4)techno-commercial solutions to exploit the flexibility from large three-phase customers for phase balancing;5)the optimal placement of phase balancers;6)the transition from single-phase customers to three-phase customers.
