摘要：【中文】本发明公开了基于局部模型提取和局部计算的单机操作模拟预演方法，属于计算、推算或计数的技术领域。本发明获取操作票的操作序列，构建操作序列的相关设备的网络拓扑模型，根据提取的局部模型生成预演用图，获取实时信息后以馈线为单位对提取的局部模型进行初始拓扑和初始潮流计算，单个操作设备模拟遥控下发，利用SCADA资源进行五防判断，拒动，检修，闭锁信号等判断，模拟遥控下发后，局部计算当前操作影响设备的拓扑和潮流，在预演用图上展示潮流和拓扑计算结果，馈线负载率变化，操作过程记录。本发明通过局部模型提取和局部潮流计算，小规模化预演模型和数据，对于涉及线路多且操作多的预演能够保证工作站上预演的速度。 【EN】The invention discloses a single-machine operation simulation rehearsal method based on local model extraction and local calculation, belonging to the technical field of calculation, calculation or counting. The method comprises the steps of obtaining an operation sequence of an operation order, constructing a network topology model of relevant equipment of the operation sequence, generating a preview graph according to an extracted local model, carrying out initial topology and initial power flow calculation on the extracted local model by taking a feeder line as a unit after obtaining real-time information, simulating and remotely issuing a single operation device, carrying out five-prevention judgment, refusing action, maintenance, locking signal judgment and the like by utilizing SCADA (supervisory control and data acquisition) resources, locally calculating the topology and the power flow of current operation influencing equipment after simulating and remotely issuing, and displaying power flow and topology calculation results, feeder line load rate change and operation process record on the preview graph. According to the invention, through local model extraction and local power flow calculation, small-scale rehearsal models and data can ensure the rehearsal speed on the workstation for rehearsal involving a plurality of lines and operations.

摘要：【中文】本发明公开了一种电力市场主体信用评价系统，涉及电力系统技术领域，基础管理单元用于对整个评价系统中的各项基础数据进行调整和补充，综合评定管理单元利用自身所建立的权重公式，对各个市场主体的综合评定分数进行计算，系统管理单元用于整个评价系统中的组织机构信息进行有效的定义，通过上述主体信用评价体系建设的顶层设计，使得信用评价体系的指标体系和信用分级分为场内评价和场外评价两个部分，实现了相应的信息化支撑，包括了多个业务域，另外，基础管理单元、信用评价管理单元、信息发布管理单元以及系统管理单元四个方面开发了多项功能，基本上满足了现阶段信用评价业务的要求，针对市场主体的信用评价更加全面。 【EN】The invention discloses a credit evaluation system of electric power market main bodies, relating to the technical field of electric power systems, wherein a basic management unit is used for adjusting and supplementing each item of basic data in the whole evaluation system, a comprehensive evaluation management unit calculates the comprehensive evaluation score of each market main body by using a weight formula established by the comprehensive evaluation management unit, a system management unit is used for effectively defining organization information in the whole evaluation system, and the index system and the credit rating of the credit evaluation system are divided into an on-site evaluation part and an off-site evaluation part through the top-level design established by the main body credit evaluation system, so that corresponding informatization support is realized, a plurality of service domains are included, in addition, a plurality of functions are developed in four aspects of the basic management unit, the credit evaluation management unit, the information release management unit and the system management unit, and the requirements of the credit evaluation service at the current stage are basically met, the credit rating for the market entity is more comprehensive.

摘要：【中文】本发明提供了一种基于神经网络智能算法的基建变电站项目造价预测方法，其特征在于包括以下步骤：收集已有的输变电工程决算数据作为样本并对样本数据进行预处理形成数据集，从数据集的原始因素库筛选出关键因素集做进一步分析并提取特征参数，根据数据库的特征参数构建造价预测模型；将待预测输变电工程数据进行预处理并提取特征参数，将特征参数代入造价预测模型，获得工程造价。本发明保证投资计划安排的精准性和合理性，提升公司电网资产转资率，为公司输配电价稳定提供重要支撑。 【EN】The invention provides a neural network intelligent algorithm-based project cost prediction method for a capital construction substation, which is characterized by comprising the following steps of: collecting the existing power transmission and transformation project decision data as a sample, preprocessing the sample data to form a data set, screening out a key factor set from an original factor library of the data set for further analysis, extracting characteristic parameters, and constructing a cost prediction model according to the characteristic parameters of the database; and preprocessing the power transmission and transformation project data to be predicted, extracting characteristic parameters, and substituting the characteristic parameters into the construction cost prediction model to obtain the construction cost. The invention ensures the accuracy and the rationality of investment plan arrangement, improves the power grid asset transfer rate of a company and provides important support for stable power transmission and distribution price of the company.