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Volume 11
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10.3390/pr11061660
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Article

Dynamic Optimization of Variable Load Process for Combined Heat and Power Unit Based on Sequential Quadratic Programming and Interior Point Method Alternating Solution Method

by
Yuehua Huang
,
Qing Chen
*,
Lei Zhang
,
Zihao Zhang
,
Xingtao Liu
and
Jintong Tu
College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
*
Author to whom correspondence should be addressed.
Processes 2023, 11(6), 1660; https://doi.org/10.3390/pr11061660
Submission received: 18 April 2023 / Revised: 19 May 2023 / Accepted: 22 May 2023 / Published: 30 May 2023
(This article belongs to the Special Issue Recent Advances in Sustainable Electrical Energy Technologies)
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Abstract

Aiming at the problem that the modeling and solving method of combined heat and power (CHP) unit variable load control process is challenging to meet the demand for efficient analysis of complex systems, this paper proposes a method based on sequential quadratic programming and interior point method (SQP-IPM) alternating solution for dynamic optimization of the CHP unit variable load process. Firstly, by constructing the CHP unit mechanism model, multi-variable coordination control constraints, and output variable process constraints, the dynamic optimization proposition of the CHP unit variable load control process is formed. Then, the large-scale nonlinear programming (NLP) problem formed by using the orthogonal configuration method to discrete the state and control variables is optimally solved using the IPM-SQP alternating solution method. Further, from the perspective of balancing the accuracy of the solution and computational efficiency, the flexible convergence depth control (CDC) strategy is introduced into the alternative solution method to improve the real-time performance of the algorithm. Finally, the variable load control process of 300MW extraction CHP unit is simulated to verify that the proposed method reduces the calculation time for 12 consecutive variable load scenarios by about 70%, effectively improving the real-time performance of scenario applications.
Keywords: variable load control process; dynamic optimization; orthogonal collocation method; IPM-SQP alternate solution; convergence depth control variable load control process; dynamic optimization; orthogonal collocation method; IPM-SQP alternate solution; convergence depth control

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MDPI and ACS Style

Huang, Y.; Chen, Q.; Zhang, L.; Zhang, Z.; Liu, X.; Tu, J. Dynamic Optimization of Variable Load Process for Combined Heat and Power Unit Based on Sequential Quadratic Programming and Interior Point Method Alternating Solution Method. Processes 2023, 11, 1660. https://doi.org/10.3390/pr11061660

AMA Style

Huang Y, Chen Q, Zhang L, Zhang Z, Liu X, Tu J. Dynamic Optimization of Variable Load Process for Combined Heat and Power Unit Based on Sequential Quadratic Programming and Interior Point Method Alternating Solution Method. Processes. 2023; 11(6):1660. https://doi.org/10.3390/pr11061660

Chicago/Turabian Style

Huang, Yuehua, Qing Chen, Lei Zhang, Zihao Zhang, Xingtao Liu, and Jintong Tu. 2023. "Dynamic Optimization of Variable Load Process for Combined Heat and Power Unit Based on Sequential Quadratic Programming and Interior Point Method Alternating Solution Method" Processes 11, no. 6: 1660. https://doi.org/10.3390/pr11061660

APA Style

Huang, Y., Chen, Q., Zhang, L., Zhang, Z., Liu, X., & Tu, J. (2023). Dynamic Optimization of Variable Load Process for Combined Heat and Power Unit Based on Sequential Quadratic Programming and Interior Point Method Alternating Solution Method. Processes, 11(6), 1660. https://doi.org/10.3390/pr11061660

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