公开(公告)号：US20200059101A1

公开(公告)日：2020-02-20

申请号：US16539434

申请日：2019-08-13

申请人： TSINGHUA UNIVERSITY ,  ECONOMIC AND TECHNOLOGICAL RESEARCH INSTITUTE, STATE GRID SHANDONG ELECTRIC POWER COMPANY

发明人： Jian ZHANG ,  Xin TIAN ,  Xueliang LI ,  Ning ZHANG ,  Jian WU ,  Long ZHAO ,  Yan WANG ,  Zhijie ZHENG ,  Hong MOU ,  Yuan WANG ,  Xiaoming LIU ,  Jie ZHANG ,  Xiaonan GAO ,  Jianing ZHANG ,  Dong LIU ,  Ying MOU ,  Shanjie JIA ,  Bo LI ,  Yi ZHU ,  Xiaohai GAO ,  Xin WEI ,  Jia WEI

IPC分类号： H02J3/38

摘要： The present disclosure provides a method, an apparatus, and a medium for calculating capacities of a plurality of photovoltaic power stations. The method includes: receiving a plurality of historical weather data sets from the plurality of weather monitoring stations; determining a scene year based on the plurality of historical weather data sets; receiving an actual generating capacity of each photovoltaic power station predicted by a power system dispatch center; extracting weather data of each photovoltaic power station in the scene year from the corresponding historical weather data set; obtaining an available generating capacity of each photovoltaic power station in the scene year based on the weather data; and determining a capacity of each photovoltaic power station in the scene year according to the actual generating capacity and the available generating capacity of each photovoltaic power station.

公开(公告)号：US20230221039A1

公开(公告)日：2023-07-13

申请号：US18092526

申请日：2023-01-03

申请人： TSINGHUA UNIVERSITY ,  SICHUAN ENERGY INTERNET RESEARCH INSTITUTE TSINGHUA UNIVERSITY

发明人： Chongqing KANG ,  Fangyuan SI ,  Yaohua CHENG ,  Ning ZHANG ,  Ershun DU ,  Yaowang LI ,  Peng WANG ,  Yuliang LIU

IPC分类号： F24H15/104 ,  F24H15/238 ,  F24H15/212 ,  F24H15/421 ,  F24H15/479

CPC分类号： F24H15/104 ,  F24H15/238 ,  F24H15/212 ,  F24H15/421 ,  F24H15/479

摘要： The present disclosure discloses a method and apparatus for measuring carbon emission of a district heating system, an electronic device, and a medium. The method includes: obtaining a steady carbon emission amount of a current district heating system using a pre-trained steady carbon emission flow model; obtaining a dynamic carbon emission amount of the current district heating system using a pre-trained dynamic carbon emission flow model; and counting a carbon emission amount of the current district heating system based on the steady carbon emission amount and the dynamic carbon emission amount. Therefore, the present disclosure can effectively identify carbon emission details of each link of a source, a grid, and a load of the district heating system, clarify carbon emission responsibilities on both a source side and a load side, and realize accurate measurement of carbon emission of the district heating system, which has high application value.

公开(公告)号：US20240054262A1

公开(公告)日：2024-02-15

申请号：US18490744

申请日：2023-10-19

申请人： TSINGHUA UNIVERSITY

发明人： Ning ZHANG ,  Yanghao YU ,  Yaohua CHENG ,  Peng WANG ,  Zhaoyi WEI ,  Yaowang LI ,  Ershun DU ,  Chongqing KANG

IPC分类号： G06F30/20

CPC分类号： G06F30/20

摘要： Provided is a carbon emission flow calculation method for a regional integrated energy system. The method includes: establishing a single-period steady-state carbon emission flow model of an energy conversion device by modeling carbon emission of each single-input-single-output conversion device and each single-input-multi-output conversion device; obtaining a matrix expression of carbon emission flow based on the single-period steady-state carbon emission flow model of the energy conversion device and establishing a single-period steady-state carbon emission flow model of the regional integrated energy system; and establishing a standardized multi-period carbon emission flow model of the regional integrated energy system by combining a multi-period coupled steady-state carbon emission flow model of energy storage devices and the single-period steady-state carbon emission flow model of the regional integrated energy system, to obtain actual carbon emission flow of the regional integrated energy system by solving the standardized multi-period carbon emission flow model.

公开(公告)号：US20210097453A1

公开(公告)日：2021-04-01

申请号：US17118922

申请日：2020-12-11

申请人： Tsinghua University

发明人： Yi WANG ,  Ning ZHANG ,  Chongqing KANG ,  Ershun DU

IPC分类号： G06Q10/04 ,  G06Q50/06 ,  G06N3/04

摘要： The disclosure relates to a quantile probabilistic short-term power load ensemble forecasting method. The method includes: dividing historical power load data of a power system into a first data set and a second data set; performing bootstrap sampling on the first data set to generate multiple training data sets; training a neural network quantile regression model, a random forest quantile regression model and a gradient boosting regression tree regression model for the each training data set to obtain quantile forecasting models; establishing an optimization model with an objective function for minimizing the quantile loss for the second data set, and determining a weight for each of the quantile regression models, to calculate a power load ensemble forecasting model for predicting the power load in the power system.

公开(公告)号：US20170083648A1

公开(公告)日：2017-03-23

申请号：US15248019

申请日：2016-08-26

申请人： Tsinghua University

发明人： Ning ZHANG ,  Chongqing KANG ,  Qing XIA ,  Ershun DU

IPC分类号： G06F17/50 ,  G06F17/11 ,  G06F17/16

CPC分类号： G06F17/5009 ,  G06F17/11 ,  G06F17/16 ,  G06F17/5036 ,  G06F2217/78 ,  H02J3/005 ,  H02J2003/007 ,  Y02E60/76 ,  Y04S40/22

摘要： 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.

公开(公告)号：US20220294224A1

公开(公告)日：2022-09-15

申请号：US17824113

申请日：2022-05-25

申请人： Tsinghua University

发明人： Ning ZHANG ,  Jingkun LIU ,  Yi WANG ,  Chongqing KANG

IPC分类号： H02J3/28 ,  G05B19/042 ,  H02J3/00

摘要： An operation decision-making method for centralized cloud energy storage capable of participating in power grid auxiliary services. The method includes: establishing a model predictive control model; obtaining operating parameters of the current period t from a grid control center at a beginning of a current decision-making cycle; predicting operating parameters within the predetermined time range based on historical data; obtaining decision variables according to the model predictive control model, the operating parameters of the current period and the operating parameters within the predetermined time range; setting a charging power of the centralized energy storage facility in the current period t and a discharging power according to the decision variables; obtaining an actual power of the centralized energy storage facility at an end of the current period t through sensors installed on the centralized energy storage facility as a parameter for a next decision period.

公开(公告)号：US20180067089A1

公开(公告)日：2018-03-08

申请号：US15459059

申请日：2017-03-15

申请人： Tsinghua University

发明人： Chongqing KANG ,  Yaohua CHENG ,  Ning ZHANG ,  Qixin CHEN ,  Qing XIA

IPC分类号： G01N33/00

CPC分类号： G01N33/004 ,  G01N33/0062 ,  G06Q10/06 ,  G06Q50/06 ,  Y02E40/76 ,  Y02P90/82 ,  Y02P90/84 ,  Y04S10/545

摘要： 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.

公开(公告)号：US20220109304A1

公开(公告)日：2022-04-07

申请号：US17551178

申请日：2021-12-14

申请人： Tsinghua University

发明人： Pei YONG ,  Ning ZHANG ,  Ershun DU ,  Yi WANG ,  Chongqing KANG

IPC分类号： H02J3/38 ,  H02J13/00 ,  G05B17/02

摘要： A multi-energy system planning method is disclosed based on security region identification. The method includes obtaining alternative planning schemes from a multi-energy system planning department; for each alternative scheme, establishing a matrix model for describing energy conversion relationships in the multi-energy system, in which the multi-energy system comprises N energy conversion elements, N being an integer greater than or equal to 1; identifying N feasible domains of the multi-energy system under N operation scenarios, in which the i-th energy conversion element is out of operating under the i-th operation scenario, and calculating a security region of the multi-energy system by intersecting the identified feasible domains under N operation scenarios; calculating a load fitness rate of each alternative scheme based on each security region; and selecting an alternative scheme with the highest load fitness rate as a target scheme for planning the multi-energy system.

公开(公告)号：US20210192643A1

公开(公告)日：2021-06-24

申请号：US17190402

申请日：2021-03-03

申请人： TSINGHUA UNIVERSITY

发明人： Ning ZHANG ,  Jingkun LIU ,  Yi WANG ,  Chongqing KANG

IPC分类号： G06Q50/06 ,  H02J3/00 ,  H02J3/32

摘要： Disclosed is a centralized cloud energy storage system for massive and distributed users and a transaction settlement method thereof, a storage medium, and a terminal. The system includes: a centralized energy storage facility invested and operated by a cloud energy storage service provider; the massive and distributed users; and a power network and a user energy management system connecting the centralized energy storage facility with the massive and distributed users. A user sends a charging and discharging request to the cloud energy storage service provider through the user energy management system, and the cloud energy storage service provider issues a charging and discharging instruction to the centralized cloud energy storage system.

公开(公告)号：US20240062225A1

公开(公告)日：2024-02-22

申请号：US18491812

申请日：2023-10-23

申请人： TSINGHUA UNIVERSITY

发明人： Yanghao YU ,  Yaowang LI ,  Ershun DU ,  Peng WANG ,  Yuliang LIU ,  Zhaoyi WEI ,  Ning ZHANG ,  Chongqing KANG

IPC分类号： G06Q30/018

CPC分类号： G06Q30/018

摘要： The present disclosure provides a method and apparatus for calculating carbon emission response based on carbon emission flows. The method includes: calculating a total carbon flow rate of a power system from a carbon flow rate of each of carbon meter users, the carbon flow rate being obtained based on a carbon emission flow of the carbon meter user; determining whether the total carbon flow rate is greater than a carbon emission response threshold; and calculating, in response to determining that the total carbon flow rate is greater than the carbon emission response threshold, a target carbon emission reduction of one or more of the carbon meter users during a carbon emission response period based on target carbon emission response demand, and initiating a carbon emission response based on the target carbon emission reduction.