Research and Implementation of Bidding Optimization and Decision System for Power Generation Companies Driven by Parallel Data

Aiming at the problem that optimization of unit energy consumption cost and bidding cannot be accurately reflected by information management system of power plant. Based on the principle of maximizing the profit of power generation enterprises, this paper studies the bidding optimization and decision-making system of power generation companies based on parallel data, and the bidding optimization and decision-making system is developed. With parallel control structure, the system can realize continuous traversal update power enterprise unit energy consumption data. Starting from the standardization and standardization of data, the mathematical model of unit quotation is established. It realizes the functions of inquiring and analyzing the energy consumption data of the generator set and scientific guidance of the generation quotation, and provides bidding management and decision-making support for the electric power production enterprises.