期刊
IEEE TRANSACTIONS ON CYBERNETICS
卷 52, 期 4, 页码 2249-2262出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2020.3005893
关键词
Fossil fuels; FCC; Optimization; Production; Economics; Uncertainty; Indexes; Differential evolution (DE); fluid catalytic cracking (FCC); operating variables; varied constraints
类别
资金
- National Natural Science Foundation of China [61988101, 61525302, 61590922]
- National Key Research and Development Program of China [2018YFB1701104]
- Xingliao Plan of Liaoning Province [XLYC1808001]
This article studies the operational optimization problem of the FCC unit under uncertainty and proposes a fast adaptive differential evolution algorithm to solve it. The experimental results demonstrate the robustness of the proposed algorithm.
This article studies an operational optimization problem of the fluid catalytic cracking (FCC) unit under uncertainty. The objective of this problem is to quickly reoptimize the operating variables that control the operational condition of the FCC unit when fossil fuel yield constraints or prices change. To solve this problem, based on the challenges caused by the varied constraints, we establish a mathematical model and propose a fast adaptive differential evolution algorithm with an adaptive mutation strategy, a parameter adaptation strategy, a repaired strategy, and an enhanced strategy. In the proposed algorithm, we integrate the status information of each solution into the mutation strategy and parameter adaptation scheme to search for the best solution in the irregular feasible region of the operating variables. In addition, a repaired strategy is proposed to repair the infeasible operating variables with unknown bounds, and an enhanced strategy is presented to further improve the objective function value of the best solution. The experimental results on ten test scenarios with different fossil fuel yield constraints and prices demonstrate the robustness of the proposed algorithm for optimizing the operating variables of the FCC unit under uncertainty.
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