摘要
为了对混合能源热电联供系统的多目标优化进行求解,采用模糊几何加权将多目标问题转化为单目标问题,充分考虑到混合能源热电联供系统优化算法存在的计算冗余量大、时间长等问题,提出将禁忌粒子群算法应用于混合能源热电联供系统优化求解。通过构造优化过程的禁忌表,阻止搜索过程中出现循环和避免陷入局部最优,进而提高算法的收敛速度和收敛精度。最后以运行费用、环境惩罚费用为子目标函数进行仿真计算,仿真结果表明该算法不仅能够获得最优解,而且大大降低优化求解时间,提高搜索速度。
In order to solve the muhi-objective optimization of hybrid energy heat-power cogeneration systems, the fuzzy geometric weighted method is used to convert multi-objective problem into single-objective problem. Considering the large amount of computational redundancy and the long time that exist in the hybrid energy cogeneration system optimization algorithm, the tabu particle swarm optimization algorithm is applied to the hybrid energy cogeneration system for optimization solution. By constructing the tabu table of the optimization process, which prevents loops occurring in the search process and avoids falling into a local optimum, thereby improves the convergence speed and convergence accuracy of the algorithm. Finally, simulating calculations based on sub-objective functions with operating costs and environmental penalties are carried out. The simulation results show that the algorithm not only can obtain the optimal solution, but also greatly reduce the optimization solution time and improve the search speed.
作者
程亚航
王迎春
杨东升
杨宝渠
Cheng Yahang;Wang Yingchun;Yang Dongsheng;Yang Baoqu(College of Information Science and Engineering, Northeastern University, Shengyang 110819, China;Liaoning Electric Power Company Limited, Shenyang 110004, China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2018年第4期909-916,共8页
Acta Energiae Solaris Sinica
基金
国家自然科学基金(61273029
61273027)
新世纪优秀人才计划(NCET-12-0106)
