Improved Hybrid Biogeography-Based Algorithm for Combined Heat and Power Economic Dispatch with Feasible Operating Region and Energy Saving Potential

Abstract

A hybrid algorithm, biogeography based optimization with simulated annealing (SABBO), is proposed in this paper by integrating the SA strategy into a basic BBO algorithm to solve combined heat and power unit economic dispatch (CHPED) problem. In this modified algorithm, a simulated annealing operator is used to randomly perturb the best individual retains after migration and mutation operating in the basic BBO. Elitism solution is further optimized to enhance the algorithm convergence capacity, and to prevent the algorithm from getting trapped into local optimum. Several benchmark functions are then taken to test the proposed method's optimal capacity, and the results show that SABBO could significantly outperform the basic BBO algorithm and mostly as the best solution listed BBO algorithms with different versions. Then, various systems are taken to tested SABBO algorithm, compared with the basic BBO and algorithms from references. Test results indicate that the SABBO is better than others to solve CHPED problems including large-scale ones. Further, the energy saving potential is calculated based on the whole plant's feasible operating region to work as guidance for economic operation.

Keywords:

• CHPED problem
• biogeography-based optimization
• simulated annealing
• feasible operating region
• benchmark function

Additional information

Funding

This work is supported by Nanjing Institute of Industry Technology (YKJ201711, JCYJ201813, YKJ201313), Jiangsu Provincial Department of Education (18KJB470012), National Natural Science Foundation of China (51706093)

Notes on contributors

Hui Gu

Hui Gu received the Ph.D. degree from the Southeast University and is now a lecturer in the Nanjing Institute of Technology. His research focuses on the optimal operation of generation units.

Hongxia Zhu

Hongxia Zhu is an associate professor in the Nanjing Institute of Technology. His researches research focuses on the operation monitoring of generation units.

Pan Chen

Pan Chen received the Ph.D. degree from the Southeast University. She is now a lecturer in the Nanjing Institute of Technology, and studies the characteristics of generation units.

Fengqi Si

Fengqi Si is a professor in Southeast University, and his research interests are monitoring and optimization studies on power plants.