Any Logic-Based Coal Inventory Optimization for Complex Coal Source Environment

Abstract

Power plants have strengthened fuel inventory management, guided coal purchases, deeply tapped internal potential, improved fuel price control, and enhanced thermal power profitability. However, in the context of coal blended combustion and complex coal sources, few researchers comprehensively analyze and formulate reasonable procurement and inventory strategies for the whole production process of thermal power plants in view of the complexity of coal quality, coal blending economy, power generation load instability and uncertainty of coal arrival time. This paper uses Anylogic to build and simulate the purchase inventory and production links of the power plant, and uses the coal source information of a power plant to use the power generation load, the mixing ratio of each coal type, procurement and inventory. This paper simulates the procurement and production process of power plants by constructing agents and variables in the Anylogic simulation model and connecting each agent in a programming language, and then enters different schemes into the model to run and analyze the advantages and disadvantages of various schemes. Finally, it determines a more reasonable procurement and inventory management strategy for the power plant. Reduce procurement and inventory costs while ensuring the safety of power plants.