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申请号:201911022933.X 公开号:CN110852494A 主分类号:G06Q10/04
申请人:【中文】上海电力大学【EN】Shanghai Electric Power University 申请日:2019.10.25 公开日:2020.02.28
摘要:【中文】本发明涉及一种计及需求响应的电动汽车概率负荷预测方法,包括以下步骤:1)判断当前电动汽车的接入电网持续时间是否大于充电至期望荷电状态的时间时,若是,则进行步骤2),若否,则当前车辆采用无序充电策略,并进行步骤6);2)以车辆收益最大化为目标构建基于分时电价的电动汽车自动充放电策略;3)对电动汽车自动充放电策略进行修正;4)计算用户参与响应的收益度;5)计算当前电动汽车对修正后电动汽车自动充放电策略的接受度;6)计算在各种可能情况下的电动汽车负荷及其期望值;7)计算各时刻下电动汽车负荷的概率分布。与现有技术相比,本发明具有响应策略合理、考虑需求响应不确定性、预测信息全面等优点。 【EN】The invention relates to an electric vehicle probability load prediction method considering demand response, which comprises the following steps: 1) judging whether the duration of the current electric vehicle accessing the power grid is longer than the time for charging to the expected state of charge, if so, performing the step 2), otherwise, performing a disordered charging strategy on the current vehicle, and performing the step 6); 2) constructing an electric vehicle automatic charging and discharging strategy based on time-of-use electricity price with the aim of maximizing vehicle income; 3) correcting an automatic charging and discharging strategy of the electric automobile; 4) calculating the profit degree of the user participating in the response; 5) calculating the acceptance of the current electric automobile to the corrected automatic charging and discharging strategy of the electric automobile; 6) calculating the load of the electric automobile and the expected value of the load under various possible conditions; 7) and calculating the probability distribution of the electric automobile load at each moment. Compared with the prior art, the method has the advantages of reasonable response strategy, consideration of uncertainty of demand response, comprehensive prediction information and the like.
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申请号:201911045799.5 公开号:CN110853002A 主分类号:G06T7/00
申请人:【中文】上海电力大学【EN】Shanghai Electric Power University 申请日:2019.10.30 公开日:2020.02.28
摘要:【中文】本发明涉及一种基于双目视觉的变电站异物检测方法,包括以下步骤:S1:在变电站内均匀布置多组双目摄像头;S2:获取双目摄像头内外参数;S3:划分出不同等级的安全警戒区域,保存安全警戒区域的顶点三维坐标值并构建数据库;S4:对动态目标进行双目预处理操作并提取5对特征点的像素坐标,计算动态目标的三维坐标值、侵入速度和运动方向;S5:结合动态目标的三维坐标值、侵入速度和运动方向,综合判断动态目标入侵程度。与现有技术相比,本发明可以获取待检测目标的深度值,还原出检测对象的真实三维坐标;可以精准判断异物所处区域,进而得出异物前进方向和前进速度,综合评判异物入侵等级,合理的采取相应措施。 【EN】The invention relates to a binocular vision-based transformer substation foreign matter detection method, which comprises the following steps of: s1: uniformly arranging a plurality of groups of binocular cameras in the transformer substation; s2: obtaining internal and external parameters of a binocular camera; s3: dividing safety alert areas of different levels, storing vertex three-dimensional coordinate values of the safety alert areas and constructing a database; s4: performing binocular preprocessing operation on the dynamic target, extracting 5 pairs of pixel coordinates of the characteristic points, and calculating a three-dimensional coordinate value, an intrusion speed and a motion direction of the dynamic target; s5: and comprehensively judging the invasion degree of the dynamic target by combining the three-dimensional coordinate value, the invasion speed and the movement direction of the dynamic target. Compared with the prior art, the method can acquire the depth value of the target to be detected and restore the real three-dimensional coordinate of the detected object; the foreign matter invasion degree judging device can accurately judge the area where the foreign matter is located, further obtain the advancing direction and the advancing speed of the foreign matter, comprehensively judge the invasion degree of the foreign matter and reasonably take corresponding measures.
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申请号:201911080557.X 公开号:CN110850023A 主分类号:G01N31/10
申请人:【中文】上海电力大学【EN】Shanghai Electric Power University 申请日:2019.11.07 公开日:2020.02.28
摘要:【中文】本发明涉及一种单色光照射下光催化性能测试装置,包括基座、光催化反应区、可调节灯杆及LED单色光源,所述基座一侧固定安装有可调节灯杆;所述基座中间固定连接有光催化反应区,所述可调节灯杆由调节灯杆主体、锁止螺母以及上部的伸缩杆组成,所述伸缩杆置于调节灯杆主体内,伸缩杆可以旋转;所述锁止螺母对称设置于调节灯杆主体两侧,用于锁紧伸缩杆;所述伸缩杆顶部通过铰链连接六个LED单色光源,且六个LED单色光源呈均匀分布,并可分别通过铰链转动折叠。所述伸缩杆表面有刻度。将需要评价性能的光催化剂置于光催化反应区,调节伸缩杆长度以确定不同距离下的光照强度,旋转伸缩杆以确定不同单色光源下的光催化性能。 【EN】The invention relates to a device for testing photocatalytic performance under irradiation of monochromatic light, which comprises a base, a photocatalytic reaction area, an adjustable lamp post and an LED monochromatic light source, wherein the adjustable lamp post is fixedly arranged on one side of the base; the adjustable lamp post is composed of an adjusting lamp post main body, a locking nut and an upper telescopic rod, the telescopic rod is arranged in the adjusting lamp post main body, and the telescopic rod can rotate; the locking nuts are symmetrically arranged on two sides of the adjusting lamp post main body and used for locking the telescopic rod; the top of the telescopic rod is connected with six LED monochromatic light sources through hinges, and the six LED monochromatic light sources are uniformly distributed and can be respectively rotated and folded through the hinges. The surface of the telescopic rod is provided with scales. The method comprises the steps of placing a photocatalyst of which the performance needs to be evaluated in a photocatalytic reaction area, adjusting the length of a telescopic rod to determine the illumination intensity at different distances, and rotating the telescopic rod to determine the photocatalytic performance under different monochromatic light sources.
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申请号:201911143111.7 公开号:CN110849273A 主分类号:G01B11/02
申请人:【中文】上海电力大学【EN】Shanghai Electric Power University 申请日:2019.11.20 公开日:2020.02.28
摘要:【中文】本发明公开了一种非接触式空间点位测量方法及装置,其包括,步骤一:确定空间内的第一目标点A和第二目标点B;步骤二:选定观测点O,设定基准面M;步骤三:测量出观测点O与第一目标点A之间的直线距离L1,并测量出该两点所在方向线与基准面M之间的第一竖直角α;步骤四:测量出观测点O与第二目标点B之间的直线距离L2,并测量出该两点所在方向线与基准面M之间的第二竖直角β;步骤五:测量出观测点O分别至两个目标点的两条方向线的水平角γ;步骤六:基于上述数据并通过余弦定理求得第一目标点A与第二目标点B之间的距离L3。本发明能够解决工程施工现场中多种测量场景不便操作仪器的情形,且能够测量出空间任意两个目标点之间的距离。 【EN】The invention discloses a non-contact space point location measuring method and a non-contact space point location measuring device, which comprise the steps of determining a first target point A and a second target point B in a space, selecting an observation point O, and setting a reference plane M, measuring a linear distance L1 between the observation point O and the first target point A, and measuring a first vertical angle α between a direction line of the two points and the reference plane M, measuring a linear distance L2 between the observation point O and the second target point B, and measuring a second vertical angle β between the direction line of the two points and the reference plane M, measuring horizontal angles gamma of the two direction lines from the observation point O to the two target points respectively, and obtaining a distance L3 between the first target point A and the second target point B through a cosine theorem on the basis of the data.
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申请号:201911086906.9 公开号:CN110865328A 主分类号:G01R35/04
申请人:【中文】上海电力大学【EN】Shanghai Electric Power University 申请日:2019.11.08 公开日:2020.03.06
摘要:【中文】本发明涉及一种基于AMI的智能电表相位识别、拓扑辨识及阻抗估计方法,包括如下步骤:(1)获取变压器和智能电表的历史数据;(2)利用电压相关性原理及回归模型判别智能电表与变压器单相抽头的匹配关系,确定智能电表相位;(3)将连接在变压器同一单相抽头下的智能电表组成集合A;(4)利用电压相关性原理及回归模型将集合A中的智能电表两两进行配对求解,确定共用一个公共点的紧密耦合智能电表对;(5)将紧密耦合的智能电表对替换成一个新的智能电表并更新集合A,重复步骤(4)完成集合A中所有智能电表的配对,确定位于同一单相抽头下的智能电表的拓扑连接;(6)生成配电系统阻抗模型。与现有技术相比,本发明简便、准确度高。 【EN】The invention relates to an AMI-based intelligent electric meter phase identification, topology identification and impedance estimation method, which comprises the following steps: (1) acquiring historical data of the transformer and the intelligent electric meter; (2) judging the matching relation between the intelligent electric meter and a transformer single-phase tap by using a voltage correlation principle and a regression model, and determining the phase of the intelligent electric meter; (3) the intelligent electric meters connected under the same single-phase tap of the transformer form a set A; (4) pairwise matching and solving the intelligent electric meters in the set A by using a voltage correlation principle and a regression model, and determining a tightly coupled intelligent electric meter pair sharing a common point; (5) replacing the tightly coupled pair of the intelligent electric meters with a new intelligent electric meter, updating the set A, repeating the step (4) to complete the pairing of all the intelligent electric meters in the set A, and determining the topological connection of the intelligent electric meters under the same single-phase tap; (6) a power distribution system impedance model is generated. Compared with the prior art, the method is simple and convenient and has high accuracy.
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申请号:201911114201.3 公开号:CN110865307A 主分类号:G01R31/385
申请人:【中文】上海电力大学【EN】Shanghai Electric Power University 申请日:2019.11.14 公开日:2020.03.06
摘要:【中文】本发明涉及一种电池模组余能检测方法,包括:S1、获取不同单体电池的性能数据,将性能数据一致的单体电池相互连接组成电池模组;S2、根据单体电池的性能数据以及电池模组中各单体电池的连接关系,分别得到电池模组的检测电流、充电截止电压和放电截止电压,其中,检测电流为I3电流;S3、采用检测电流,对电池模组进行恒流放电至电池模组的放电截止电压,之后停止放电,将电池模组静置1h;S4、采用检测电流,对电池模组进行恒流充电至电池模组的充电截止电压,并记录恒流充电时间;S5、根据检测电流和恒流充电时间,得到电池模组的容量,即为电池模组的余能检测值。与现有技术相比,本发明在保证准确性的基础上缩短了余能检测时间。 【EN】The invention relates to a method for detecting the complementary energy of a battery module, which comprises the following steps: s1, acquiring performance data of different single batteries, and mutually connecting the single batteries with consistent performance data to form a battery module; s2, respectively obtaining the detection current, the charge cut-off voltage and the discharge cut-off voltage of the battery module according to the performance data of the single batteries and the connection relation of the single batteries in the battery module, wherein the detection current is I3Current flow; s3, performing constant current discharge on the battery module by adopting the detection current until the discharge cut-off voltage of the battery module, stopping the discharge, and standing the battery module for 1 h; s4, carrying out constant current charging on the battery module to the charging cut-off voltage of the battery module by adopting the detection current, and recording the constant current charging time; and S5, obtaining the capacity of the battery module according to the detection current and the constant current charging time, namely obtaining the residual energy detection value of the battery module. Compared with the prior art, the invention shortens the complementary energy detection time on the basis of ensuring the accuracyAnd (3) removing the solvent.
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申请号:201911167727.8 公开号:CN110867894A 主分类号:H02J3/38
申请人:【中文】上海电力大学【EN】Shanghai Electric Power University 申请日:2019.11.25 公开日:2020.03.06
摘要:【中文】本发明涉及一种自主惯量响应的动态分频风力发电系统,包括风电场、风电场升压变压器、低频交流输电线路、输电降压变压器、绕线转子异步电机、电励磁同步电机、励磁系统及其控制单元、联轴单元、双交流端口变频器、变频器控制器、并网装置、开关设备、降压变压器、启动电阻、检测单元和中央控制器,与现有技术相比,本发明采用隔离型变频变压器中的同步电机作为电网接口,从而整个系统对电网呈现出同步发电机的特性,利于系统稳定运行,此外整个系统启动后,绕线转子异步电机在双端口交流变频器的控制下为风电场提供集中变频,同时以汇聚后的风电场电能拖动电励磁同步电机以同步转速运行,在励磁系统及其控制单元的配合下,具有电网友好的特性。 【EN】The invention relates to an autonomous inertia response dynamic frequency division wind power generation system, which comprises a wind power plant, a wind power plant step-up transformer, a low-frequency alternating current transmission line, a transmission step-down transformer, a wound rotor asynchronous motor, an electrically excited synchronous motor, an excitation system and a control unit thereof, a coupling unit, a double alternating current port frequency converter, a frequency converter controller, a grid-connected device, a switch device, a step-down transformer, a starting resistor, a detection unit and a central controller, compared with the prior art, the invention adopts the synchronous motor in an isolation type frequency conversion transformer as a power grid interface, so that the whole system presents the characteristics of a synchronous generator to the power grid, the system is favorable for stable operation of the system, in addition, after the whole system is started, the wound rotor asynchronous motor provides concentrated frequency conversion for the wind power plant under the control of the double alternating current frequency converter, and simultaneously drags the electrically excited, under the cooperation of the excitation system and the control unit thereof, the excitation system has the characteristic of power grid friendliness.
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申请号:201911207001.2 公开号:CN110868082A 主分类号:H02M5/458
申请人:【中文】上海电力大学【EN】Shanghai Electric Power University 申请日:2019.11.29 公开日:2020.03.06
摘要:【中文】本发明涉及一种基于电网电压故障下的对无源网络供电的MMC‑PET的控制方法,包括:1)针对MMC‑PET输入级,对输入的电压电流进行正负零序分离,针对电流的正负序进行控制,2)根据MMC‑PET输入级变流器的EL数学模型,验证其严格无源性,3)针对电网故障时产生的正、负电流,设计无源控制器和零序电流PI控制器,4)MMC‑PET输入级的外环控制采用定直流电压和无功功率控制,5)采用适用于电网电压不平衡条件下的MMC‑PET输入级的环流抑制,6)针对MMC‑PET的中间隔离级,采用移相均压的控制,7)对于MMC‑PET输出侧的三相电压型全桥逆变器,内环采用电流解耦控制,外环采用定交流电压控制和定无功功率控制,本发明提供的方法具有动态响应快,应用范围广,控制效果显著等优点。 【EN】The invention relates to a control method of MMC-PET for supplying power to a passive network based on a power grid voltage fault, which comprises the following steps: 1) aiming at an MMC-PET input stage, positive and negative zero sequence separation is carried out on input voltage and current, and the positive and negative sequence of the current are controlled, 2) strict passivity is verified according to an EL mathematical model of an MMC-PET input stage converter, 3) a passive controller and a zero sequence current PI controller are designed aiming at positive and negative currents generated when a power grid fails, 4) outer loop control of the MMC-PET input stage adopts constant direct current voltage and reactive power control, 5) circulating current inhibition suitable for the MMC-PET input stage under the condition of unbalanced voltage of the power grid is adopted, 6) intermediate isolation level aiming at the MMC-PET is adopted, phase-shifting and voltage-equalizing control is adopted, 7) a three-phase full-bridge inverter at the output side of the MMC-PET is adopted, the inner loop adopts current decoupling control, and the outer loop adopts constant alternating current voltage control and constant reactive power control, and the method provided by the invention has fast dynamic, wide application range, obvious control effect and the like.
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申请号:201911250440.1 公开号:CN110848785A 主分类号:F24D11/02
申请人:【中文】上海电力大学【EN】Shanghai Electric Power University 申请日:2019.12.09 公开日:2020.02.28
摘要:【中文】本发明公开了一种用于三北地区的风光互补联合热泵供热系统,包括,风力致热单元、太阳能单元、热泵单元、蓄热单元,以及供热单元;所述风力致热单元与所述供热单元连接,所述太阳能单元与所述供热单元连接,所述热泵单元与所述供热单元连接,所述蓄热单元分别与风力致热单元、太阳能单元、热泵单元,以及供热单元连接。本系统可分为风力致热单独供热模式、太阳能单独供热模式、太阳能和风力致热联合供热模式、相变蓄热单元单独供热模式、热泵补充供热模式。本发明充分利用了三北地区丰富的风光资源,整合设备联合为当地用户稳定供热,清洁无污染,充分体现了当下节能减排的社会主题。 【EN】The invention discloses a wind-solar complementary combined heat pump heating system for the three north area, which comprises a wind power heating unit, a solar unit, a heat pump unit, a heat storage unit and a heating unit, wherein the wind power heating unit is connected with the solar unit; the wind power heating unit is connected with the heat supply unit, the solar unit is connected with the heat supply unit, the heat pump unit is connected with the heat supply unit, and the heat storage unit is respectively connected with the wind power heating unit, the solar unit, the heat pump unit and the heat supply unit. The system can be divided into a wind-driven heating independent heating mode, a solar energy and wind-driven heating combined heating mode, a phase change heat storage unit independent heating mode and a heat pump supplementary heating mode. The invention fully utilizes rich wind and light resources in the three north area, integrates equipment to stably supply heat for local users, is clean and pollution-free, and fully embodies the social theme of energy conservation and emission reduction at present.
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申请号:201911206937.3 公开号:CN110929948A 主分类号:G06Q10/04
申请人:【中文】上海电力大学【EN】Shanghai Electric Power University 申请日:2019.11.29 公开日:2020.03.27
摘要:【中文】本发明涉及一种基于深度强化学习的完全分布式智能电网经济调度方法,包括以下步骤:1)获取网络拓扑结构,建立基于负荷分配和机组组合的经济调度模型;2)通过深度强化学习模型获取经济调度模型的局部最优解,作为第一Q函数表;3)将第一Q函数表载入预训练后的深度卷积神经网络,获取第二Q函数表;4)根据第二Q函数表,初始化各机组的功率,载入机组功率求解模型,并根据网络拓扑结构,更新第二Q函数表,得到全局最优解;5)进行电网经济调度。与现有技术相比,本发明不仅能够在数据量大、网络结构复杂的智能电网环境下,实现经济调度最优化,而且不依赖于明确的目标函数,能适应分布式能源的“即插即用”特性,具有良好的应用前景。 【EN】The invention relates to a complete distributed intelligent power grid economic dispatching method based on deep reinforcement learning, which comprises the following steps of: 1) acquiring a network topological structure, and establishing an economic dispatching model based on load distribution and unit combination; 2) obtaining a local optimal solution of an economic dispatching model through a deep reinforcement learning model, and using the local optimal solution as a first Q function table; 3) loading the first Q function table into a pre-trained deep convolution neural network to obtain a second Q function table; 4) initializing the power of each unit according to the second Q function table, loading a unit power solving model, and updating the second Q function table according to the network topology structure to obtain a global optimal solution; 5) and carrying out economic dispatching on the power grid. Compared with the prior art, the method and the device can realize economic dispatching optimization in an intelligent power grid environment with large data volume and complex network structure, do not depend on a definite objective function, can adapt to the plug-and-play characteristic of distributed energy, and have good application prospect.
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