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

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