Tsinghua University

Peking University

Beijing Tsintergy Technology Co., Ltd.

Qing Xia

Chongqing Kang

Haiwang Zhong

Yang Wang

Qixin Chen

Xiaowen Lai

Zhenfei Tan

Ning Zhang

Qi Yang

Jianxiao Wang

Yi Wang

Chuanling Zhang

Sulong Xiao

Demin Zhou

Lihe Zhang

Ershun Du

Longlong Si

Huan Xu

Tianchang Wang

Zhifang Yang

Chunling Lu

Xueying Zhou

Ziwei Zhang

Zhenyu Tian

Kedi Zheng

Xinfei Yan

Yaohua Cheng

The disclosure provides a distributed dispatch method for ubiquitous power Internet of Things based on a transition matrix. The ubiquitous power Internet of Things includes generators. The method includes: S, setting a marginal cost function of each of the generators, and extracting key cost parameters in the marginal cost function; S, establishing an optimization model based on the key cost parameters of each of the generators and a communication topology of the ubiquitous power Internet of Things, and solving the optimization model to obtain an optimized transition matrix; and S, generating a plan of a power output of each of the generators based on the optimized transition matrix and a distributed dispatch protocol to perform a distributed dispatch.

Distributed dispatch method for ubiquitous power internet of things based on transition matrix

The disclosure provides a method for identifying a power feasible region of a virtual power plant, and an apparatus for identifying a power feasible region of a virtual power plant. The method includes: S, obtaining operation basic data of the internal power-distribution system; S, establishing a static safety-constrained model of the virtual power plant based on the operation basic data, in which the static safety-constrained model is based on alternating current power flow equations; S, establishing a power feasible region model of the virtual power plant based on the static safety-constrained model; and S, calculating the power feasible region model based on the operation basic data and a feasible region vertex enumeration algorithm to obtain the power feasible region of the virtual power plant.

Methods and apparatuses for identifying power feasible region of virtual power plant

The disclosure provides a method and a system for dispatching a multi-region power system. The method includes: obtaining, by each regional system operator, basic operating parameters of the regional power system; establishing, by each regional system operator, a dispatching model of the regional power system based on the basic operating parameters; identifying, by each regional system operator, an aggregation model of the regional power system based on the dispatching model of the regional power system; reporting, by each regional system operator, the aggregation model to the cross-region system operator; establishing, by the cross-region system operator, a reduced dispatching model of the multi-region power system based on the aggregation model from each regional system operator; and solving, by the cross-region system operator, the reduced dispatching model to obtain a dispatching result of each regional power system.

Methods and systems for dispatching multi-region power system

Provided is a method for high-efficiently reading through a nonsense mutation site in a pathogenic gene in a monogenic hereditary disease and restoring the normal structure and function of a mutant protein, by using a genetic code expanded non-natural amino acid system. By modifying a tRNA of(tRNAPyl), an all-new UAA and UGA encoded non-natural amino acid system that has high read-through efficiency is obtained, and the range of using the orthogonal pair of tRNAPyl and pyrrolysyl-tRNA synthetase (PylRS) is expanded. A plasmid mimicking the endogenous premature termination codon is constructed, so as to evaluate the efficiency of reading through the endogenous premature termination codon. Also provided is a system mainly comprising pathogenic genes of monogenic hereditary diseases and tumor inhibitory genes in tumor cells.

Read through of truncated proteins in premature termination codon diseases using an optimized genetic codon expansion system

The present invention relates to a mutated virus. Said virus can be an influenza virus of human or other animal origin. The present invention also relates to a method for preparing the mutated virus, the method comprising introducing UAG codons into positions upstream of the stop codons per se of one or more genes of a viral genome by reverse genetic techniques. The present invention further relates to uses of the mutated virus, for example, as a live attenuated vaccine, or in replication of controllable and safe virus models, and the like.

Mutant virus, preparation method therefor and application thereof

The present disclosure provides a method and a device for detecting electricity theft, and a computer readable medium, smart meter data of each user and aggregated electricity consumption data are obtained during the detection period in the target area, a load profile set and non-technical loss data are obtained, and a correlation between each load profile in the load profile set and the non-technical loss data is obtained through a maximum information coefficient method and based on the smart meter data and the aggregated electricity consumption data, so as to obtain a correlation indicator for measuring the correlation.

Method and device for detecting electricity theft, and computer readable medium

A dispatch method and device for a power system are provided. The method includes: establishing an optimal power flow model, the optimal power flow model includes an objective function and constraints, the objective function is configured to indicate a minimum total cost of active power production and reactive power production of generators; solving the optimal power flow model to obtain dispatch parameters for the power system; and dispatching the power system based on the dispatch parameters.

Dispatch method and device for power system

Provided are a method for constructing a suppressor tRNA, and 19 suppressor tRNAs corresponding to three termination codons, a plasmid, a vector or a kit comprising the above-mentioned tRNA. Also provided are use of the above-mentioned tRNA, plasmid, vector or kit in the manufacture of a medicament for treating a hereditary disease or a cancer caused by a nonsense mutation of a gene. Also provided are a method for evaluating the efficiency of a suppressor tRNA for reading through a nonsense mutation, and a method for restoring the expression of a truncated protein of a nonsense mutant of a pathogenic gene in a monogenic hereditary disease and a tumor suppressor gene in a tumor cell.

Read through of truncated proteins in premature termination codon diseases by suppressor tRNAs

The present disclosure provides a method and an apparatus for photovoltaic power forecast based on numerical weather prediction. The method includes: determining a historical key weather feature matrix and a prediction key weather feature matrix; determining a historical weather data matrix and a prediction weather data matrix; determining a historical input matrix and a prediction input matrix; combining the historical input matrix and the prediction input matrix; performing singular value decomposition on the combined input matrix to obtain a principal component feature matrix; determining K principal component features corresponding to K historical time periods having the nearest Manhattan distances with the prediction time period; acquiring a fitting relationship according to the K principal component features and K photovoltaic powers corresponding to the K historical time periods; inputting the principal component feature corresponding to the prediction time period to the fitting relationship to obtain a photovoltaic power.

Method and apparatus for photovoltaic power forecast based on numerical weather prediction

The present disclosure provides a fast model generating and solving method for security-constrained power system operation simulation, which includes: obtaining information of all branches and nodes which are involved during operation simulation time period, calculating original-node impedance matrix, load shifting distribution factor original matrix and generator shifting distribution factor original matrix of all involved branches; correcting the load shifting distribution factor original matrix and the generator shifting distribution factor original matrix according to the on-off state of branches; obtaining output of each generator unit at each time period according to no-security-constraint unit commitment model, and determining overload of each branch again; solving iteratively until no branch is overloaded, and obtaining output of each generator unit at each time period under security constraint of operation simulation for the current simulation day, performing operating simulation for the rest simulation days to obtain security-constraint operation simulation result for the whole year.

Fast model generating and solving method for security-constrained power system operation simulation

The present disclosure provides a system for measuring carbon emissions in a power system. The system includes: generation carbon meters, distributed respectively in generators in the power system; network carbon meters, distributed respectively in nodes in the power system; consumption carbon meters, distributed respectively in consumers in the power system; and a center server, in which each carbon meter is configured to collect data for measuring the carbon emissions. The center server is configured to acquire the collected data and to measure the carbon emissions according to the acquired data, and to send measuring results to the corresponding carbon meter. Then each carbon meter is further configured to display according to the measuring results. The carbon emission may be measured in real time.

System for measuring carbon emission in power system

An optimal control method and apparatus for a power system are provided. The method includes: obtaining ancillary service bidding data; establishing a power system optimal control model according to the ancillary service bidding data; solving the power system optimal control model to obtain optimal frequency regulation capacities and optimal spinning reserve capacities; sending the optimal frequency regulation capacities and the optimal spinning reserve capacities to generators such that the generators adjust their active powers to provide ancillary services for the power system.

Growing community of inventors

Beijing, China

Qing Xia