摘要：【中文】本申请实施例提出的热电综合能源仿真规划方法，包括根据热力管道内液体的流动时间将热力管道虚拟划分为管道单元；设定混合比例系数，结合能量守恒定律确定相邻两个管道单元的传热方程；基于建立的传热方程，对热力管道内每个管道单元的导热过程进行计算，得到热力管道末端的节点温度。将热力管道中考虑层流与湍流的热传导过程简化为相邻管道单元之间的热传导过程；通过设定混合比例系数，实现了不同传热状况下相邻管道单元发生单位时间热传导后温度变化的有效计算；提高了模型的精细程度与模型仿真结果的准确性，从而为考虑热负荷波动性的热‑电综合能源系统动态分析提供了条件。 【EN】The thermoelectric integrated energy simulation planning method provided by the embodiment of the application comprises the steps of virtually dividing a thermal pipeline into pipeline units according to the flowing time of liquid in the thermal pipeline; setting a mixing proportion coefficient, and determining a heat transfer equation of two adjacent pipeline units by combining an energy conservation law; and calculating the heat conduction process of each pipeline unit in the heat distribution pipeline based on the established heat transfer equation to obtain the node temperature at the tail end of the heat distribution pipeline. Simplifying the heat conduction process considering laminar flow and turbulent flow in the heat distribution pipeline into the heat conduction process between adjacent pipeline units; by setting the mixing proportion coefficient, the effective calculation of the temperature change of adjacent pipeline units after heat conduction in unit time under different heat transfer conditions is realized; the method improves the fineness degree of the model and the accuracy of the simulation result of the model, thereby providing conditions for the dynamic analysis of the heat-electricity comprehensive energy system considering the fluctuation of the heat load.

摘要：【中文】本发明公开了基于多目标协同和自趋优运行的细胞电网规划方法，本发明针对偏远地区的能源供应，提出了清洁、可靠、经济的能源分配系统的细胞网络框架。该框架不仅可以提高每个电网细胞的生存能力，而且可以降低网络设计的难度。用于自我优化的单细胞网络模型由三层组成，用于连接输入和输出，并使内部状态完全可观测。多细胞网络模型提供了处理多目标协作的全局视角。在此基础上，可以解决三个问题，即提高可再生能源消费比重、源储协同和经济规划与运行。 【EN】The invention discloses a cell power grid planning method based on multi-objective cooperation and self-optimization operation, and provides a clean, reliable and economic cell network framework of an energy distribution system aiming at energy supply in remote areas. The frame can not only improve the viability of each power grid cell, but also reduce the difficulty of network design. The model of single cell network for self-optimization consists of three layers for connecting inputs and outputs and making the internal state fully observable. The multicellular network model provides a global perspective for handling multi-objective collaboration. On the basis, three problems can be solved, namely the consumption proportion of renewable energy sources is improved, source storage cooperation and economic planning and operation are realized.

摘要：【中文】本申请公开了两网融合的多指标评估方法，包括利用层次分析法建立乡村电网“两网融合”建设基础评价指标体系，并使用归一化处理法对指标进行归一化处理；随后通过G1法对评价体系进行主观权重计算得出各项指标在不同专家评价下的主观权重；最后将所有主观权重加权平均，并与基础评价体系结合，构建综合权重体系，得到乡村电网“两网融合”建设多指标综合评价体系。本方法规范了计算，适用于多种乡村电网“两网融合”建设指标评价计算并非常适合用于软件开发，实现了计算的通用性。 【EN】The application discloses a multi-index evaluation method for two-network integration, which comprises the steps of establishing a rural power grid 'two-network integration' construction foundation evaluation index system by using an analytic hierarchy process, and carrying out normalization processing on indexes by using a normalization processing method; then, subjective weight calculation is carried out on the evaluation system through a G1 method to obtain the subjective weight of each index under the evaluation of different experts; and finally, carrying out weighted average on all subjective weights, and combining the weighted average with a basic evaluation system to construct a comprehensive weight system so as to obtain a rural power grid 'two-network integration' construction multi-index comprehensive evaluation system. The method standardizes calculation, is suitable for evaluation calculation of 'two-network integration' construction indexes of various rural power networks, is very suitable for software development, and realizes the universality of calculation.

摘要：【中文】本发明提出了一种转供能力评估方法及装置，该方法包括：基于第一线路与第二线路的关联关系，判断所述第二线路是否可转供所述第一线路；在所述第二线路可转供所述第一线路的情况下，根据所述第一线路的第一线路信息与所述第二线路的第二线路信息，确定所述第一线路与所述第二线路的转供状态；根据所述转供状态，确定被转供第一线路的负载率；根据所述被转供第一线路的负载率所属的负载率范围，确定所述第一线路的转供优先级。通过本发明的技术方案，将判断线路是否可转供以及确定转供优先级的步骤进行自动化实现，减少了人工处理的成本，优化提供转供的线路的转供能力，也起到提升了线路转供的效率的作用。 【EN】The invention provides a method and a device for evaluating energy conversion capacity, wherein the method comprises the following steps: judging whether the second line can be transferred to the first line or not based on the incidence relation between the first line and the second line; under the condition that the second line can be switched to the first line, determining the switching state of the first line and the second line according to the first line information of the first line and the second line information of the second line; determining the load rate of the first line to be transferred according to the transfer state; and determining the transfer priority of the first line according to the load rate range to which the load rate of the transferred first line belongs. By the technical scheme, the steps of judging whether the line can be supplied and determining the supply priority are automatically realized, so that the cost of manual processing is reduced, the supply power of the line for supply is optimized, and the effect of improving the supply efficiency of the line is also achieved.

摘要：【中文】本发明的目的是在于针对现有技术的缺陷和不足，提供基于发音量化和电力专用词库的离线语音识别装置，还提供基于发音量化和电力专用词库的离线语音识别方法，从而提高智能语音识别的效率和准确率，避免由于识别产生误差造成的损失，同时也提高了语音识别的效率和准确率。对此本发明提供了一种基于发音量化和电力专用词库的离线语音识别装置，包括与音频采集系统连接的通用语音识别模块，通用语音识别模块输出语音词语，还包括：输入特征提取模块、电力专用词库特征提取模块、语音词匹配检索模块、识别结果输出模块。本发明能够根据具体应用，修改编辑电力专用词库，也能够根据具体语音噪声环境修改量化值权重值，进而优化识别结果。 【EN】The invention aims to provide an offline voice recognition device based on pronunciation quantification and a power special word stock and an offline voice recognition method based on pronunciation quantification and a power special word stock aiming at the defects and the defects of the prior art, so that the efficiency and the accuracy of intelligent voice recognition are improved, the loss caused by errors generated by recognition is avoided, and the efficiency and the accuracy of voice recognition are also improved. The invention provides an off-line speech recognition device based on pronunciation quantification and a special word bank for electric power, which comprises a general speech recognition module connected with an audio acquisition system, wherein the general speech recognition module outputs speech words, and the off-line speech recognition device also comprises: the system comprises an input feature extraction module, an electric power special word bank feature extraction module, a voice word matching retrieval module and a recognition result output module. The method can modify and edit the electric power special word stock according to specific application, and can also modify the weight value of the quantization value according to specific voice noise environment, thereby optimizing the recognition result.

摘要：【中文】本公开为了克服现有技术中不能及时发现调控云电网运行大数据异常的问题，提供一种调控云电网运行大数据质量评估方法，涉及电力自动化领域，包括以下步骤：S1.获取设备线路参数一致性数据；S2.获取变压器参数一致性数据；S3.根据设备线路参数一致性数据和变压器参数一致性数据计算得到运行数据一致性；S4.在所述运行数据一致性低于预设值时，进行预警。通过此方法可以对各地区能源管理系统的运行大数据进行评估，能够及时发现调控云电网运行大数据的异常，可以及时的对出现问题的区域进行检查和处理，缩少和消除低质量数据的影响，对于调控云电网运行大数据应用的分析和决策至关重要。 【EN】The utility model provides a regulation and control cloud power grid operation big data quality assessment method, which relates to the field of electric power automation and comprises the following steps: s1, obtaining equipment line parameter consistency data; s2, acquiring parameter consistency data of the transformer; s3, calculating according to the equipment line parameter consistency data and the transformer parameter consistency data to obtain operation data consistency; and S4, when the consistency of the operation data is lower than a preset value, early warning is carried out. By the method, the operation big data of the energy management systems in various regions can be evaluated, the abnormity of the operation big data of the regulation cloud power grid can be found in time, the problem areas can be checked and processed in time, the influence of low-quality data is reduced and eliminated, and the method is of great importance for analysis and decision of the operation big data application of the regulation cloud power grid.

摘要：【中文】本公开为了克服现有技术中不能及时发现调控云电网运行大数据异常的技术问题，公开了一种调控云电网运行大数据质量评估方法，涉及电力自动化领域，包括：S1.获取遥测合格率数据；S2.获取母线平衡率数据；S3.根据遥测合格率数据和母线平衡率数据计算得到数据准确性维度；S4.在数据准确性维度低于预设值时，进行预警。通过此方法可以对各地区能源管理系统的运行大数据进行评估，能够及时发现调控云电网运行大数据的异常，可以及时的对出现问题的区域进行检查和处理，缩少和消除低质量数据的影响，对于调控云电网运行大数据应用的分析和决策至关重要。 【EN】The utility model discloses a technical problem that can not discover in time that regulation and control cloud electric wire netting operation big data is unusual among the prior art is overcome to this disclosure, discloses a regulation and control cloud electric wire netting operation big data quality assessment method, relates to electric power automation field, includes: s1, acquiring telemetering qualified rate data; s2, acquiring bus balance rate data; s3, calculating according to the telemetering qualified rate data and the bus balance rate data to obtain a data accuracy dimension; and S4, when the data accuracy dimensionality is lower than a preset value, early warning is carried out. By the method, the operation big data of the energy management systems in various regions can be evaluated, the abnormity of the operation big data of the regulation cloud power grid can be found in time, the problem areas can be checked and processed in time, the influence of low-quality data is reduced and eliminated, and the method is of great importance for analysis and decision of the operation big data application of the regulation cloud power grid.

摘要：【中文】本发明公开了一种基于业务和数据集成的线损合格台区的降损方法，涉及电网电网运维领域。目前对于线损的判断准确率低，且排查效率慢。本发明包括以下步骤：抽取当日线损异常升高的合格台区；确定是否为现场采集设备故障造成的线损异常升高；确定是否为户变关系调整错误造成的线损异常升高；确定是否为计量失准造成的线损异常升高；确定此次台区线损升高为正常的线损波动；进行现场处理，并在现场故障处理后，观察台区线损率是否下降，若是，则结束，若否，则确定此次线损升高为较罕见的正常线损波动，继续保持观察，以确保不超过管理红线。本技术方案步骤3）、4）、5）依次进行，有利于提高线损排除故障的效率，同时保线损排除故障的准确性。 【EN】The invention discloses a loss reduction method for a line loss qualified transformer area based on service and data integration, and relates to the field of operation and maintenance of a power grid. At present, the line loss judgment accuracy is low, and the troubleshooting efficiency is low. The invention comprises the following steps: extracting qualified station areas with abnormally increased line loss on the same day; determining whether the line loss caused by the fault of the field acquisition equipment is abnormally increased; determining whether the line loss caused by the adjustment error of the user variable relationship is abnormally increased; determining whether line loss due to metrology misalignment is abnormally elevated; determining that the line loss of the current transformer area is increased to be normal line loss fluctuation; and performing field processing, observing whether the line loss rate of the transformer area is reduced or not after field fault processing, if so, finishing the process, otherwise, determining that the line loss is increased to rare normal line loss fluctuation, and continuously maintaining observation to ensure that the line loss does not exceed the management red line. The steps 3), 4) and 5) of the technical scheme are sequentially performed, so that the efficiency of removing the line loss fault is improved, and the accuracy of removing the line loss fault is ensured.

摘要：【中文】本发明提供一种用于控制变电站设备室空调的控制装置及控制方法，包括与变电站设备室空调连接的空调自启动模块、远程控制模块及移动端模块，空调自启动模块设有自启控制器，变电站设备室空调设有空调接收器，远程控制模块设有远程调控装置，自启控制器包括信号发射器、接收窗口与指示灯，信号发射器传输无线信号至空调接收器，接收窗口接收远程调控装置所发送的信号，远程调控装置一端连接四线插头，四线插头连接电缆线，远程调控装置另一端连接四线插座，四线插座连接变电站设备室空调，自启控制器一端连接二线插座，二线插座另一端与四线插座组合连接，使得远程调控装置与自启控制器实现精简的献速硬件电路方案，减少器件数量，降低了故障率。 【EN】The invention provides a control device and a control method for controlling an air conditioner in a substation equipment room, which comprises an air conditioner self-starting module, a remote control module and a mobile terminal module, wherein the air conditioner self-starting module is connected with the air conditioner in the substation equipment room, the air conditioner self-starting module is provided with a self-starting controller, the air conditioner in the substation equipment room is provided with an air conditioner receiver, the remote control module is provided with a remote control device, the self-starting controller comprises a signal transmitter, a receiving window and an indicator lamp, the signal transmitter transmits a wireless signal to the air conditioner receiver, the receiving window receives the signal transmitted by the remote control device, one end of the remote control device is connected with a four-wire plug, the four-wire plug is connected with a cable, the other end of the remote control device is connected with a four-wire socket, the four-wire socket is, the remote control device and the self-starting controller realize a simplified speed-offering hardware circuit scheme, the number of devices is reduced, and the failure rate is reduced.

摘要：【中文】本发明涉及计算机领域，尤其涉及基于朴素贝叶斯算法的电力数据分类方法及系统，包括：S1：从电力公司的电力系统中获取数据并生成数据集；S2：从数据集中取数据子集，并作增量式训练；S3：对于每一个类别，计算各类别在数据子集中的频率；S4：将数据子集划分成K个子数据子集，分别对属于C_k的子数据子集进行计算，计算出其中第j个特征的概率；S5：针对待预测样本，计算其对于每个类别C_k的后验概率，概率值最大的类别即为待预测样本的预测类别；S6：在数据集中去掉当前数据子集，并判断数据集是否为空，若非空则进入步骤S2，若空则结束分类。本发明能够迅速准确的实现数据的分类，分类性能不会因为数据的不同而展现差异，具有良好的健壮性。 【EN】The invention relates to the field of computers, in particular to a naive Bayes algorithm-based power data classification method and a naive Bayes algorithm-based power data classification system, which comprise the following steps: s1: acquiring data from a power system of a power company and generating a data set; s2: taking a data subset from the data set and performing incremental training; s3: for each category, calculating the frequency of each category in the data subset; s4: dividing the data subset into K sub-data subsets, respectively belonging to C_kCalculating the sub-data subset of the sub-data subset to calculate the probability of the jth characteristic; s5: for the sample to be predicted, it is calculated for each class C_kThe class with the maximum probability value is the prediction class of the sample to be predicted; s6: removing the current data subset from the data set, determining whether the data set is empty, if not, proceeding to step S2, otherwise, leaving emptyThe classification is ended. The invention can quickly and accurately realize the classification of the data, the classification performance can not show the difference due to the difference of the data, and the invention has good robustness.