Research On Uncertain Optimization Of Power Plant Fuel Supply

Optimization of power plant fuel supply is a top priority in the management of power generation costs. It's significant for the power plants economic and safe operation. In recent years, In order to improve efficiency and protect the coal power plant stability, major power plants have attached great importance to optimize the management of fuel supply, and have achieved some achievements. In fuel optimization study, if you want to get the exact optimal value, managers must consider not only the process of the certainty factors, but also the uncertainty factors. Purpose of this study is that using uncertain optimization method to optimization of power plant fuel supply to deal with this complexity and uncertainty factors, then to find the best solution to the system in a situation of limited resources.Based on analyzing of the fuel supplies' present situation, fuel supply process is divided into three stages:fuel procurement, fuel inventory and fuel mixture blended. And then we establish the fuel procurement optimization model, the fuel inventory optimization model and the fuel mixture burning model. Fuel procurement model contains the origin of fuel, transportation, storage and other key elements. This model solves the multi-point fuel procurement, purchasing batches and arrival time of decision-making problems. The economic order quantity model is used in fuel inventory management. fuel mixture blended model is established on the Coal's complexity and uncertainty, It solves the mixed blending of Multiple Objective Decision Making by identifying a reasonable blending strategy in ensuring the safe operation of boilers and meet environmental targets.Finally, Dalate power plant's fuel supply optimization is used as an example. We get the fuel blending model's feasible solutions and then analyze the results. Thus to verify the feasibility and effectiveness of the model.