Abstract

Dynamic Economic Emission Dispatch (DEED) problems present a critical multi-objective optimization challenge in power systems, requiring simultaneous minimization of conflicting objectives of costs and emissions while addressing complex operational constraints. This problem becomes particularly intricate when considering the Valve-Point Effect Cost (VPEC) in generation units, which exhibits non-smooth, non-convex characteristics that significantly complicate solution landscapes. To address these challenges, this talk will discuss a Hybrid Constrained Multi-Objective Algorithm (HCMOA) incorporating three innovative mechanisms. First, a clonal selection mechanism enhances local exploitation through the systematic generation of high-quality, non-dominated solutions. Second, a most-crowded neighborhood update strategy combats premature convergence in high-dimensional DEED scenarios while optimizing archive diversity and computational efficiency. Third, a step-by-step repair strategy ensures operational feasibility through systematic output refinement. Comprehensive evaluations on 10-unit and 15-unit systems with varying VPEC configurations demonstrate HCMOA's superiority over ten state-of-the-art algorithms. Experimental results reveal that HCMOA achieves the Pareto-optimal set with superior spread and distribution uniformity compared to existing approaches. These findings collectively establish HCMOA as an effective solution for practical DEED implementations, particularly in scenarios requiring rigorous consideration of non-convex VPEC characteristics.

Speaker

Professor Shuqu Qian China

Dean and Professor
School of Mathematics and Physics

Anshun University

Qian Shuqu, Ph.D. in Engineering, Professor, Master's Supervisor, and Dean of the School of Mathematics and Physics at Anshun University. He is a visiting scholar under the “Western Light” program of the Central Organization Department, a high-level innovative talent in Guizhou Province, a municipal expert in Anshun City, Vice Chairman of the Guizhou Applied Statistics Society, Executive Director of the Guizhou Mathematical Society, member of the Guizhou Provincial College Discipline Competition Steering Committee, member of the Chinese Association for Artificial Intelligence, and member of the Guizhou Electrotechnical Society. His research interests include computational intelligence and complex system modeling and control. He has presided over the completion of three National Natural Science Foundation projects and five provincial and departmental projects. He has published over 60 academic papers, including in international journals such as “IEEE Transactions on Cybernetics,” “Soft Computing,” “Engineering Optimization,” and in important core journals such as “Control Theory & Applications” and “Control and Decision.” He has authored two monographs. He has guided students to complete five national and provincial innovation training projects. Under his guidance, students have won 1 national first prize and over ten provincial first and second prizes in the National College Students Mathematical Modeling Competition. He has received an award of third place for Natural Science from the Guizhou Provincial Science and Technology Awards, one outstanding paper award from the “CAAI Transactions on Intelligent Systems,” the first journal of the Chinese Association for Artificial Intelligence, and several municipal natural science paper awards. He has been granted two utility model patents and registered four software copyrights.