Using Multi-constraint Integer Nonlinear Optimization Model to Select Generator
American Journal of Basic and Applied Sciences · 2020
This paper studies the power generation plan when the power is cut off within a week in the factory. Considering various factors that affect the cost, it comprehensively analyzes the possibility of opening the plan and the influence of three kinds of costs on the total cost, and establishes a multi-constraint integer nonlinear optimization model. In order to minimize the total cost of a week, a minimum model of fixed cost, marginal cost and start-up cost was established, and a seven-day minimum cost scheme was obtained by means of dynamic programming.After changing the output power of the generator, the constraint conditions of the output power are adjusted based on the model of the above problems, and a new model of electricity demand and generation is obtained.In this paper, the model is extended to other problems of continuous segmentation, and the improvement can be generalized to solve such problems.