发电、储能、配网、用能一体化的边云协同智能管控原型系统数据集

第一部分为“光伏发电边云协同智能管控仿真系统源码”，数据量为94MB，由项目成员自主开发生成。该仿真系统可用于模拟光伏边云协同控制场景，集成团队所设计的算法模型，有效支撑光伏系统在不同策略下的运行状态评估与关键性能指标测试，为系统优化提供验证平台。 第二部分为“消纳率效果图”，图片数据24KB，来源于光伏仿真系统，主要展示在仿真环境下光伏电能的消纳率表现。该图示直观反映了系统在不同调控策略下对可再生能源利用效率的提升效果，为消纳能力分析与算法对比提供了可视化支持。 第三部分为“光伏发电边云协同智能管控系统检测报告”，PDF文档，数据量约2.2MB，由第三方检测机构出具。报告系统评估了仿真平台中消纳率等核心性能指标的达成情况，是系统性能达标的重要证明材料，支撑成果的实际应用与推广。 第四部分为“光伏数据采集与分析系统模型”，Word文件，数据量为336KB。该模型由项目团队设计，具备太阳能光伏系统运行数据的采集、存储、分析与管理功能，是实现数据驱动智能决策的核心支撑组件。 第五部分为“光伏高性能智能感知系统及分布式资源调度系统模型”，Word文件，数据量为1MB。系统通过多模态数据融合与纵横向信息流感知技术，提高复杂环境下数据识别与表达能力，并通过智能分布式调度模型，实现对大规模接入资源的协同管控与灵活扩展，支撑边缘计算与智能组网的系统需求。 第六部分为“成果补充论证材料文件”，数据量为3.12MB，包含项目任务四所产出的软件著作权申请材料，全面展示了边云协同与智能调度领域的知识产权成果，为项目实施成效提供重要支撑。Part 1: "Photovoltaic Edge-Cloud Collaborative Intelligent Management and Control Simulation System Source Code". With a size of 94 MB, it was independently developed by project team members. This simulation system can be used to simulate photovoltaic edge-cloud collaborative control scenarios, integrates the algorithm models designed by the team, effectively supports the operating status evaluation and key performance indicator testing of photovoltaic systems under different strategies, and provides a verification platform for system optimization. Part 2: "Consumption Rate Effect Diagram". With 24 KB of image data, it is sourced from the photovoltaic simulation system, mainly displaying the consumption performance of photovoltaic electric energy in the simulation environment. The diagram intuitively reflects the improvement effect of the system's renewable energy utilization efficiency under different regulation strategies, providing visual support for consumption capacity analysis and algorithm comparison. Part 3: "Photovoltaic Edge-Cloud Collaborative Intelligent Management and Control System Inspection Report". A PDF document with a size of approximately 2.2 MB, issued by a third-party testing organization. The report systematically evaluates the achievement of core performance indicators such as the consumption rate in the simulation platform, which is an important certification material for the system's compliance with performance standards, supporting the practical application and promotion of the research achievements. Part 4: "Photovoltaic Data Collection and Analysis System Model". A Word document with a size of 336 KB, designed by the project team. This model has functions of collecting, storing, analyzing and managing the operating data of solar photovoltaic systems, and serves as a core supporting component for realizing data-driven intelligent decision-making. Part 5: "Photovoltaic High-performance Intelligent Perception System and Distributed Resource Scheduling System Model". A Word document with a size of 1 MB. The system enhances data recognition and expression capabilities in complex environments through multi-modal data fusion and vertical-horizontal information flow perception technologies, and realizes collaborative management and flexible expansion of large-scale access resources via an intelligent distributed scheduling model, supporting the system requirements of edge computing and intelligent networking. Part 6: "Achievement Supplementary Demonstration Material Files". With a size of 3.12 MB, this collection includes the software copyright application materials produced by Project Task 4, comprehensively demonstrating the intellectual property achievements in the fields of edge-cloud collaboration and intelligent scheduling, providing important support for the implementation effectiveness of the project.

搜集汇总

背景与挑战

背景概述

该数据集包含光伏发电边云协同智能管控仿真系统源码、消纳率效果图、检测报告等多个组件，旨在模拟光伏边云协同控制场景并评估系统性能。它由项目团队自主开发或第三方机构出具，为智能调度算法验证和可再生能源利用效率分析提供支持。