公开(公告)号：US20160320324A1

公开(公告)日：2016-11-03

申请号：US14901716

申请日：2013-11-27

Applicant: TAIYUAN POWER SUPPLY COMPANY OF STATE GRID SHANXI ELECTRIC POWER COMPANY ,  WUHAN NARI LIMITED LIABILITY COMPANY OF STATE GRID ELECTRIC POWER RESEARCH INSTITUTE ,  STATE GRID CORPORATION OF CHINA

Inventor： Junliu ZHANG ,  Guohua ZHOU ,  Lijuan XIONG ,  Xin GAO ,  Qiang XU ,  Jiangong REN ,  Shanshan WANG ,  Siyuan LIANG

IPC: G01N25/72 ,  G01R31/12

CPC classification number: G01N25/72 ,  G01K11/3206 ,  G01K2003/145 ,  G01R31/027 ,  G01R31/1227

Abstract: A method for predicting the life of a transformer includes: conducting a quasi-distributed description on an internal temperature of a transformer by using a fiber grating temperature measurement system; determining the position of an internal hottest spot of the transformer and conducting a life evaluation on an internal local region of the transformer; and according to the life loss of each position of the transformer, by combining the insulation characteristic of the transformer with the influence of the life of the position on the entire life of the transformer, predicting the life of the transformer scientifically and reasonably. The method can use the fiber grating temperature measurement system to calculate and evaluate the life loss of the internal insulation of the transformer and the rate of change thereof

Abstract translation: 用于预测变压器寿命的方法包括：通过使用光纤光栅温度测量系统对变压器的内部温度进行准分布描述; 确定变压器内部最热点的位置，并在变压器的内部局部区域进行寿命评估; 根据变压器每个位置的寿命损失，通过将变压器的绝缘特性与变压器整个使用寿命的影响相结合，科学合理地预测变压器的使用寿命。 该方法可以使用光纤光栅温度测量系统来计算和评估变压器内部绝缘的寿命及其变化率

公开(公告)号：US20160274155A1

公开(公告)日：2016-09-22

申请号：US14412675

申请日：2014-03-04

Applicant: STATE GRID CORPORATION OF CHINA (SGCC) ,  STATE GRID CHONGQING ELECTRIC POWER CO. ELECTRIC POWER RESEARCH INSTITUTE ,  CHONGQING UNIVERSITY

Inventor： Xiyang OU ,  Ran LIU ,  Xingzhe HOU ,  Ke ZHENG ,  Zhihong FU ,  Xiaorui HU ,  Xiaoyong ZHANG ,  Huaiqing ZHANG ,  Jing JI ,  Hua WU ,  Hongliang SUN

IPC: G01R23/16

CPC classification number: G01R23/16

Abstract: The application discloses a method for acquiring parameters of a dynamic signal, including: selecting a dynamic sample signal sequence of a power grid to constitute an autocorrelation matrix; determining an effective rank of the autocorrelation matrix and the number of frequency components of the dynamic sample signal sequence; establishing an AR model, and solving a model parameter of the AR model; determining an expression and a complex sequence of the dynamic sample signal sequence by using a Prony algorithm, wherein the dynamic sample signal sequence is represented by the complex sequence with a minimum square error; and substituting a root of a characteristic polynomial corresponding to the model parameter into the complex sequence and solving various parameters of the dynamic sample signal sequence. In the application, with the idea of AR parameter model, a current signal is considered to be a linear combination of signals at previous time points.

Abstract translation: 本申请公开了一种用于获取动态信号的参数的方法，包括：选择电网的动态采样信号序列以构成自相关矩阵; 确定自相关矩阵的有效等级和动态样本信号序列的频率分量的数量; 建立AR模型，解决AR模型的模型参数; 通过使用Prony算法确定动态样本信号序列的表达式和复杂序列，其中动态样本信号序列由具有最小平方误差的复数序列表示; 并将与模型参数对应的特征多项式的根代入复数序列，并求解动态样本信号序列的各种参数。 在应用中，利用AR参数模型的思想，电流信号被认为是前一时刻信号的线性组合。

公开(公告)号：US20160203245A1

公开(公告)日：2016-07-14

申请号：US14597177

申请日：2015-01-14

Applicant: State Grid Corporation of China ,  Gansu Electric Power Company of State Grid ,  Wind Power Technology Center of Gansu Electric Power Company

Inventor： NING-BO WANG ,  JIAN-MEI ZHANG ,  SHI-EN HE ,  YAN-HONG MA ,  LONG ZHAO ,  QIANG ZHOU ,  MING MA ,  GUANG-TU LIU ,  DING-MEI WANG ,  LIANG LU ,  QING-QUAN LV ,  XIAO-YONG WANG ,  RONG HUANG ,  KUN DING ,  JIN LI ,  SHI-YUAN ZHOU ,  JIN-PING ZHANG

IPC: G06F17/50 ,  G06F17/10

CPC classification number: G06F17/5009 ,  G01W1/10

Abstract: A method of simulating wind field of extreme arid region based on WRF includes following steps. A mode parameter optimization scheme for wind energy simulation is selected, wherein the mode parameter optimization scheme is selected by selecting a group of mode parameter optimization schemes of different ground floors, land process, and planet boundary layers having great influence on simulation of the boundary layer of wind field, and comparing the mode parameter optimization schemes. A wind energy simulation of the extreme arid region is performed during a preset length of time using the selected mode parameter optimization scheme. Simulation configuration of the wind field for the extreme arid region is obtained through results of the wind energy simulation.

Abstract translation: 基于WRF模拟极端干旱地区风场的方法包括以下步骤： 选择风能模拟的模式参数优化方案，其中通过选择对边界层模拟有很大影响的不同地面，陆地过程和行星边界层的一组模式参数优化方案来选择模式参数优化方案 的风场，并比较模式参数优化方案。 使用所选择的模式参数优化方案，在预设时间长度内执行极端干旱区域的风能模拟。 通过风能模拟的结果，获得了极地干旱区风场的模拟结构。

公开(公告)号：US20160190789A1

公开(公告)日：2016-06-30

申请号：US14784788

申请日：2014-06-19

Applicant: STATE GRID CORPORATION OF CHINA ,  LAIWU POWER SUPPLY COMPANY OF STATE GRID SHANDONG ELECTRIC POWER COMPANY

Inventor： Guofang ZHU ,  Hongmei LI ,  Jincang NIU ,  Baoguang ZHAO ,  Shangzhen LI ,  Xin SHI ,  Yong LI ,  Xujie LIU ,  Guanbin WU ,  Naiyuan XU ,  Sun LI ,  Yuanbin LIANG

IPC: H02H1/00 ,  H02H7/22

CPC classification number: H02H1/0092 ,  H02H7/22 ,  H02J3/006 ,  Y04S10/525

Abstract: A multi-faults service restoration method for a power distribution network overcomes the defect that a traditional service restoration method for the power distribution network cannot solve multi-faults. The method includes the steps of performing multi-faults judgment on multi-faults with processing unfinished, to form many multi-faults and many single-faults; then performing unaided fault recovery area division on the multi-faults, and performing power restoration on unaided fault recovery areas one by one; and after the multi-faults are processed, performing power restoration on each single-fault. By adopting the method, the service restoration efficiency is greatly improved, thus contributing to the real-time of service restoration; the factor of load balance is considered when common power restoration lines are decoupled, so that the load rates of the power restoration lines participating in service restoration are more similar after service restoration, and therefore the power supply reliability of the power distribution network is improved.

Abstract translation: 配电网的多故障业务恢复方法克服了配电网传统业务恢复方式无法解决多故障的缺陷。 该方法包括对未故障处理的多故障进行多故障判断的步骤，形成许多多故障和许多单故障; 对多故障进行无故障恢复区划分，逐个对无故障恢复区进行电源恢复; 在处理多故障后，对每个故障进行电源恢复。 采用该方法，大大提高了服务恢复效率，从而有助于服务恢复的实时性; 当公用电源恢复线路解耦时考虑负载平衡因素，使服务恢复后参与业务恢复的电源恢复线路的负载率更加相似，从而提高配电网络的供电可靠性。

公开(公告)号：US20160169202A1

公开(公告)日：2016-06-16

申请号：US14648663

申请日：2014-04-02

Applicant: STATE GRID CORPORATION OF CHINA ,  STATE GRID GANSU ELECTRIC POWER CORPORATION ,  GANSU ELECTRIC POWR CORPORATION WIND POWER TECHNOLOGY CENTER

Inventor： NINGBO WANG ,  MING MA ,  YANHONG MA ,  GUANGTU LIU ,  LONG ZHAO ,  QIANG ZHOU ,  DINGMEI WANG ,  LIANG LU ,  JIANMEI ZHANG ,  QINGQUAN LV

IPC: F03D9/00 ,  F03D7/00

CPC classification number: F03D7/028 ,  F03D7/00 ,  F03D9/255 ,  F03D17/00 ,  F05B2260/821 ,  F05B2270/1033 ,  F05B2270/335 ,  H02J3/386 ,  Y02E10/723 ,  Y02E10/763

Abstract: The present invention discloses a short-term operation optimization method for a power system including large-scale wind power, comprising modeling the randomness of wind power output, modeling the randomness of the load of electric power system and modeling net load of electric power system. Net load refers that for probability distribution of net load that is too discretized, probability distribution curve of net load is divided into N intervals, the probabilities for each interval are obtained and probability distribution curve of net load is obtained through calculating and weighing each interval. Through calculating randomness of power wind output and standard deviation of load prediction error of the electric power system, net load prediction error of the electric power system is obtained and reasonable coordination is made on the electric power system according to prediction error and prediction amount to better regulate the correlations between randomness, volatility, regionalism, double-circuit peak shaving and load of wind power generation, so as to realize optimization operation of the electric power system.

Abstract translation: 本发明公开了一种包括大型风力发电的电力系统的短期运行优化方法，包括对风力发电输出随机性进行建模，建立电力系统负荷随机性和电力系统建模净负荷。 净负荷是指对于太离散的净负荷概率分布，将净负荷概率分布曲线分为N个间隔，通过每个间隔的计算和称量获得每个间隔的概率，并获得净负荷的概率分布曲线。 通过计算电力输出的随机性和电力系统负荷预测误差的标准偏差，得到电力系统的净负荷预测误差，并根据预测误差和预测值对电力系统进行合理的协调 调整随机性，波动性，区域性，双回路峰值风化与风力发电负荷之间的相关性，实现电力系统的优化运行。

公开(公告)号：US20160160839A1

公开(公告)日：2016-06-09

申请号：US14564116

申请日：2014-12-09

Applicant: State Grid Corporation of China ,  Gansu Electric Power Company of State Grid

Inventor： NING-BO WANG ,  KUN DING ,  SHI-YUAN ZHOU ,  JIN LI ,  JIN-PING ZHANG ,  DING-MEI WANG ,  RONG HUANG ,  SHI-EN HE

IPC: F03D7/00 ,  F03D9/00

CPC classification number: F03D7/0284 ,  F03D9/255 ,  Y02E10/723

Abstract: A method of controlling inertia response of variable-speed wind turbine generator includes following steps. A maximum wind power of the wind turbine is gotten through a wind speed νw and a rotation speed ωr at the hub of the wind turbine based on a maximum wind power tracking control strategy. The maximum wind power is set as an active power control reference value P0 of the wind turbine. A grid frequency f is obtained via a frequency measurement equipment. An additional active power control reference value ΔP of the wind turbine is generated based on the grid frequency f via an additional control block, and the additional active power control reference value ΔP is added on the active power control reference value P0, wherein a total of active power control reference value of the wind turbine is P0+ΔP.

Abstract translation: 一种控制变速风力发电机惯性响应的方法，包括以下步骤。 风力涡轮机的最大风力功率是通过风力涡轮机的风速和风速涡轮机的轮毂上的旋转速度ωr，基于最大的风力追踪控制策略获得的。 最大风力被设定为风力涡轮机的有功功率控制基准值P0。 通过频率测量设备获得电网频率f。 基于电网频率f经由附加控制块产生风力涡轮机的额外的有功功率控制参考值＆Dgr; P，并且附加有功功率控制参考值“Dgr; P”被加到有功功率控制参考值P0上， 其中风力涡轮机的有功功率控制参考值的总和为P0 +＆Dgr; P。

公开(公告)号：US20160124047A1

公开(公告)日：2016-05-05

申请号：US14893048

申请日：2013-12-25

Applicant: CHANG ZHOU CURRENT SUPPLY COMPANY OF JIANGSU ELECTRIC POWER COMPANY ,  JIANGSU ELECTRIC POWER COMPANY ,  STATE GRID CORPORATION OF CHINA

Inventor： ZHEN XU ,  YI WANG ,  SHU CHEN ,  ZUCHEN DONG ,  LIANG CAO

IPC: G01R31/327

CPC classification number: G01R31/3277 ,  G01R31/3191 ,  G01R35/005 ,  H02J9/06

Abstract: The present invention provides an intelligent calibration system for backup-power automatic switching devices, including a power supply module, a control module for logic controls, a voltage output module and a current output module for outputting simulated voltage and current, a signal feedback module for sampling outputted voltage and current signals, a simulated circuit-breaker group, an auxiliary relay, a USB interface for communication, a keyboard for information input, a display module for information interaction and real-time panel presentation, an interface module to facilitate plug-in wires, an indicator light for indicating operation status and a computer for controlling the testing globally. The present invention facilitates easy and fast wiring, and conveniently displays operation interface and related information. The operation is intuitive and simple, overall test efficiency is improved. Further, comprehensive tests for BAS devices can be performed with high measurement accuracy, while avoiding influences of human operations to the test results.

Abstract translation: 本发明提供了一种用于备用电源自动切换装置的智能校准系统，包括电源模块，用于逻辑控制的控制模块，用于输出模拟电压和电流的电压输出模块和电流输出模块，用于输出模拟电压和电流的信号反馈模块 采样输出电压和电流信号，模拟断路器组，辅助继电器，用于通信的USB接口，用于信息输入的键盘，用于信息交互和实时面板显示的显示模块， 在线，用于指示操作状态的指示灯和用于全局控制测试的计算机。 本发明便于快速布线，便于显示操作界面和相关信息。 操作直观简单，整体测试效率提高。 此外，可以以高测量精度执行BAS设备的综合测试，同时避免人为操作对测试结果的影响。

公开(公告)号：US20160014177A1

公开(公告)日：2016-01-14

申请号：US14797028

申请日：2015-07-10

Applicant: State Grid Suzhou Power Supply Company ,  State Grid Jiangsu Electric Power Company ,  State Grid Corporation of China ,  State Grid Electric Power Research Institute

Inventor： Bing Han ,  Zhichang Zhang ,  Jiaqing Zhao ,  Hongwei Du ,  Yi Wu ,  Zhihong Yang ,  Hongen Ding ,  Chongpu Xia ,  Kejun Qian ,  Yanghao Zhou ,  Haibing Zhu ,  Fan Liu ,  Yi Liu

IPC: H04L29/06

CPC classification number: H04L69/16 ,  H04L41/0213 ,  H04L41/082 ,  H04L41/0863 ,  H04L41/0866 ,  Y04S40/162

Abstract: This invention discloses a CIM/E (Common Information Model) and CIM/G-based graphics-model-integrated apparatus and method for distribution network. The apparatus comprises an operating system for distribution systems, which is used by distribution network dispatcher and a debugging system for maintaining graphics and models. The operating system communicates with the debugging system via TCP/IP protocol, using the CIM/E Language to describe full models and incremental models of distribution network, and using the CIM/G Language to describe graphics of distribution network. This invention manages the graphics and models through the remote call, graphics-model-operation and graphics-model-rollback, achieves the management of the graphics and models of past, present and future. Through using dual systems including a debugging system and an operating system and by means of efficient exchange of CIM/E models and CIM/G graphics between the two systems, this invention realizes graphics and models update as well as rollback management, thereby improves the safety and accuracy of the graphics and models of distribution networks.

Abstract translation: 本发明公开了一种用于分发网络的CIM / E（公共信息模型）和基于CIM / G的图形模型集成装置和方法。 该装置包括用于分发系统的操作系统，其由分发网络调度器和用于维护图形和模型的调试系统使用。 操作系统通过TCP / IP协议与调试系统进行通信，使用CIM / E语言来描述分布式网络的完整型号和增量型号，并使用CIM / G语言来描述分布式网络的图形。 本发明通过远程调用，图形模型操作和图形模型回滚来管理图形和模型，实现了过去，现在和未来图形和模型的管理。 通过使用包括调试系统和操作系统在内的双重系统，通过两个系统之间的CIM / E模型和CIM / G图形的有效交换，本发明实现了图形和模型更新以及回滚管理，从而提高了安全性 以及分销网络图形和模型的准确性。

公开(公告)号：US20150349528A1

公开(公告)日：2015-12-03

申请号：US14649202

申请日：2014-04-16

Applicant: STATE GRID CORPORATION OF CHINA ,  STATE GRID GANSU ELECTRIC POWER CORPORATION ,  GANSU ELECTRIC POWER CORPORATION WIND POWER TECHNOLOGY CENTER ,  NORTH CHINA ELECTRIC POWER UNIVERSITY

Inventor： NINGBO WANG ,  WENYING LIU ,  YANHONG MA ,  JIAMING WANG ,  DAN JIN ,  CAI LIANG ,  SHIYUAN ZHOU ,  XIAODAN WU ,  KUN DING ,  ZILAN ZHAO ,  QIANG ZHOU ,  BIN YANG ,  JIN LI ,  PENG XU ,  LONG ZHAO ,  RUNDONG GE

IPC: H02J3/00

CPC classification number: H02J3/00 ,  H02J3/386 ,  H02J3/46 ,  Y02E10/763 ,  Y10T307/549

Abstract: The present invention has disclosed a wind power bundling control method after wind power and thermal power are connected to a power grid in the field of electric power system security technology, including regulating wind power output and thermal power output forward or backward; calculating the transient stability margin of the grid, load level index of element and voltage out-of-limit index of busbar after regulating wind power output and thermal power output respectively; calculating wind power/thermal power paying value according to the transient stability margin of the grid, load level index of element and voltage out-of-limit index of busbar after regulating wind power output and thermal power output; if wind power/thermal power paying value is larger than set threshold value, regulating wind power output and thermal power output backward/forward; if wind power/thermal power paying value is smaller than set threshold value, regulating wind power output and thermal power output forward/backward. The present invention provides a wind power bundling control method after wind power and thermal power are connected to the power grid to ensure reasonable output of wind power and thermal power, so as to guarantee the power grid operates normally.

Abstract translation: 本发明公开了在电力系统安全技术领域将风力发电和火力发电与电力网连接的风力捆扎控制方法，包括调节风力发电输出和火力输出向前或向后; 分别调节风电输出和火力发电后，计算电网瞬态稳定裕度，母线负载电平指标和母线电压超限指标; 根据电网的瞬态稳定裕度计算风电/热功率支付值，调节风电输出和热功率输出后母线负载电平指标和母线电压超限指标; 如果风力/火电支付值大于设定阈值，则调整风电输出和火力输出向后/向前; 如果风力/火力支付值小于设定阈值，则调节风力发电输出和火力输出向前/向后。 本发明提供了风力发电与火力发电连接在电网上的风力发电捆绑控制方法，以确保风电和火力的合理输出，保证电网运行正常。

公开(公告)号：US20150302313A1

公开(公告)日：2015-10-22

申请号：US14682121

申请日：2015-04-09

Applicant: State Grid Corporation of China ,  Gansu Electric Power Company of State Grid ,  Wind Power Technology Center of Gansu Electric Power Company

Inventor： NING-BO WANG ,  LIANG LU ,  XU-SHAN HAN ,  ZI-FEN HAN ,  HUAI-SEN JIA ,  XIAO-YONG WANG ,  RONG HUANG ,  JIN-PING ZHANG

IPC: G06N7/00 ,  G06F17/50

CPC classification number: G06F17/5009 ,  G06F17/18 ,  G06N20/00

Abstract: A method of predicating ultra-short-term wind power based on self-learning composite data source includes following steps. Model parameters of an autoregression moving average model are obtained by inputting data. A predication result is obtained by inputting data required by wind power predication into the autoregression moving average model. A post-evaluation is performed to the predication result by analyzing error between the predication result and measured values, and performing model order determination and model parameters estimation again while the error is greater than an allowable maximum error.

Abstract translation: 基于自学习复合数据源的超短期风力预测方法包括以下步骤： 通过输入数据获得自回归移动平均模型的模型参数。 通过将风力预测所需的数据输入到自回归移动平均模型中来获得预测结果。 通过分析预测结果和测量值之间的误差，并在误差大于允许的最大误差的同时再次执行模型阶数确定和模型参数估计，对预测结果执行后评估。