虚拟电厂交易调度策略仿真数据集

本数据集为上海交通大学以及研究团队在针对虚拟电厂交易调度策略研究过程中，就策略开展仿真验证的数据，在MATLAB/Python仿真软件上仿真产生，用于支撑后续人工智能交易策略集成应用于虚拟电厂技术支撑系统。
主要数据内容为：虚拟电厂优化报价仿真结果数据：包括仿真投标量价、仿真效益分析等；虚拟电厂优化调度仿真数据：包括仿真调度结果等；虚拟电厂优化出清仿真数据：包括仿真出清结果、仿真效益分析等。
数据集规模为2.27MB。

This dataset was generated through simulations on MATLAB/Python simulation software by the research team from Shanghai Jiao Tong University while studying the trading and scheduling strategies of virtual power plants (VPPs), aiming to support the subsequent integration and application of AI-based trading strategies in the technical support system for virtual power plants.
The main data contents include:
1. Simulated result data of optimized bidding for virtual power plants: covering simulated bidding volume and price, simulated benefit analysis, etc.;
2. Simulated data of optimized scheduling for virtual power plants: covering simulated scheduling results, etc.;
3. Simulated data of optimized market clearing for virtual power plants: covering simulated market clearing results and simulated benefit analysis, etc.
The total size of this dataset is 2.27 MB.

搜集汇总

背景与挑战

背景概述

该数据集由上海交通大学研究团队创建，用于支撑虚拟电厂交易调度策略的仿真验证，包含优化报价、调度和出清等仿真结果数据。数据集规模为2.27MB，以xlsx和docx格式存储，旨在支持人工智能交易策略在虚拟电厂技术系统中的应用。