A Framework for the Synthesis of Optimum Operating Profiles Based on Dynamic Simulation and a Micro Genetic Algorithm

Abstract

This paper presents an approach to managing the thermal power plant’s flexible operation based on the steam generation process optimization. A strategy at the process level, as a first step in the operational optimization of the entire power plant, is proposed. The proposed approach focuses on minimizing the drum boiler startup time, since it is considered the most critical element in the steam generation process and in the thermal power plant’s efficient operation. An approach that addresses the problem to find the optimal sequences of control valves that minimize the drum boiler startup time as a dynamic optimization problem is proposed. To solve the optimization problem, a dynamic optimization framework based on a micro genetic algorithm (mGA) coupled with a dynamic simulation model is implemented. The dynamic simulation model is validated against data available in the literature, and the proposed optimization algorithm is characterized by the use of variable length chromosomes and the use of small population sizes. The results show that optimized operating profiles minimize the drum boiler startup time by at least 35 percent and generate control valve operating sequences that must be carried out to achieve the desired profile, while the structural integrity constraints are fulfilled at all times.

A Hybrid Metaheuristic Optimization Approach for the Synthesis of Operating Procedures for Optimal Drum-Boiler Startups

“…OpenModelica has algorithms for solving differential equation systems, making it possible to observe changes in variables over time. The drum boiler simulation model in OpenModelica is based on the model reported by Rosado et al [10].…”

“…− 10 MPa ≤ σ D ≤ 10 MPa (10) Equation ( 5) seeks to minimize the time it takes for the drum boiler to reach the goal. The parameters α and β from Equation ( 5) are the ones specified by Belkhir et al [17].…”

“…Although fast startups improve the competitiveness in an open power market, if a startup is carried out too fast, excessive thermal stress can occur in the drum boiler components [10]. Therefore, feasible operating procedures must consider the physical constraints of the drum boiler that ensure its integrity.…”

“…Experiment A, which uses a randomly generated operating procedure as the initial solution for the metaheuristic hybrid algorithm. The results were then compared against a benchmark solution [17] and a solution obtained with the micro genetic algorithm described in [10]. • Experiment B, which compares the metaheuristic hybrid algorithm, the simulated annealing algorithm, and the tabu search algorithm.…”

Enhanced dynamic simulation approach towards the efficient mining thermal energy supply with improved operational flexibility

“…The proposed strategy is based on an integrated approach that encompasses the synthesis of optimum operating procedures of high efficiency conventional thermal power plants and the sector coupling to supply useful thermal energy. The development of this approach involves metaheuristic optimization algorithms, 22 dynamic simulations models, response surface models, and machine learning models. 23 3 | PROPOSED METHODOLOGY…”