Joint optimization and collaborative optimization method for environmental protection island system design

Abstract

The invention discloses a joint optimization and collaborative optimization method for environmental protection island system design. In a collaborative optimization method framework, an environment-friendly island system is composed of a system level and three sub-subject levels, the system level is characterized in that the sum of the operation cost of denitration, desulfurization and dust removal is minimum; the constraints of the ammonia spraying amount, the electric field voltage, the pH value of gypsum slurry, the number of circulating pumps and the like form the optimization problem of the three sub-subjects. The optimization method comprises the following steps: initializing related parameters, determining an approximation model, fitting and approximating a consistency constraint function of each subject at a system level by using the determined approximation model, and carrying out optimization on the system level under fitting constraint. A dynamic optimization strategy is adopted, global stage convergence conditions are met through multiple iterations, then local stage solving is carried out, finally, local convergence conditions are met, and accurate convergence is carried out to obtain a global optimal solution. The method can effectively solve the problems that the method is easy to converge to a local solution, the number of iterations is too large and the like, and meanwhile, the precision is correspondingly improved.

Description

technical field [0001] The invention relates to the technical field of optimization algorithm application, in particular to a joint optimization and collaborative optimization method for environmental protection island system design. Background technique [0002] The goal of environmental island system design optimization is to minimize the sum of the operating costs of the three parts of the system-level goals, desulfurization, denitrification, and dust removal, while satisfying the relevant process constraints. Collaborative optimization (CO) method is an effective algorithm for solving complex optimization problems proposed by Stanford University Kroo et al. Its basic principle is to decompose the objective function of a complex problem into simple sub-objective functions according to certain characteristics. Parallel solution under the constraints of the system, comprehensively consider the results of other sub-objective functions at the system level, coordinate the inco...

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Problems solved by technology

A joint optimization collaborative optimization method for environmental protection island system design that can effectively solve the problem that traditional collaborative optimization methods tend to converge to local optimum and slow convergence speed, reduces the number of iterations of the system, and improves the optimization accuracy

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