基于数据读取与分析的智慧电厂竞价上网平台设计

Design of Intelligent Power Plant Bidding Platform Based on Data Reading and Analysis

传统的智慧电厂竞价上网平台对于智慧电厂机组运行成本计算准确性较低,对智慧电厂竞价上网造成一定的影响,为此设计一种基于数据读取与分析的智慧电厂竞价上网平台。首先提出智慧电厂竞价上网平台框架,同时考虑多个竞争对手情况,采用数据读取与分析技术对日前竞争电量范围计算,按照最优化的机组负荷分配制定各机组发电计划,并要求智慧电厂总的耗量成本最小,计算智慧电厂日前负荷与智慧电厂机组的含量成本,以此完成基于数据读取与分析的智慧电厂竞价上网平台设计。实验对比结果表明,基于数据读取与分析的智慧电厂竞价上网平台在对智慧电厂机组运行成本计算上,比传统平台计算准确性高,为智慧电厂竞价上网各个阶段决策上提供基础依据,为竞价上网提供了新的理论支持。

The traditional bidding platform for smart power plants has a low accuracy for the calculation of the operation cost of smart power plants,which has a certain impact on the bidding of smart power plants.Therefore,a bidding platform for smart power plants based on data reading and analysis is designed.Firstly,the framework of bidding platform for smart power plants is proposed.Considering the situation of multiple competitors,the data reading and analysis technology is used to calculate the range of day ahead competitive power,and the generation plan of each unit is formulated according to the optimal unit load distribution.The total consumption cost of smart power plants is required to be the minimum,and the content cost of day ahead load and smart power plant unit is calculated.This paper completes the design of intelligent power plant bidding platform based on data reading and analysis.The experimental results show that the intelligent power plant bidding platform is more accurate than the traditional platform in calculating the operation cost of intelligent power plant units,which provides the basis for the decision-making of each stage of bidding,and provides a new theoretical support for bidding.