摘要
在研究冷热电联供系统优化运行的过程中,为了更好地优化调度冷热电联供系统中各设备的出力,提出了基于Tent映射的混沌搜索和非线性自适应粒子群算法相结合的优化算法。建立了一个包含风机、光伏、微燃机和燃气锅炉等主要设备的冷热电联供系统模型。以联供系统的运行成本、污染物排放量和能源利用率为目标,建立了多目标优化模型。在满足设备出力、功率平衡等约束条件下,利用Matlab进行了优化求解。仿真结果表明,所提出的冷热电联供系统优化方法,可以有效地提高经济效益,减少污染排放,提高能源利用率。
In the process of studying the optimal operation of a CCHP system, in order to better optimize the output of each piece of equipment in the dispatching CCHP system, an optimization algorithm combining chaotic search based on a Tent map and a non-linear adaptive particle swarm optimization algorithm is proposed. A model of the CCHP system including wind turbine, photovoltaic, micro-gas turbine and gas boiler is established. A multi-objective optimization model is established for the operation cost, pollutant emission and energy utilization of the CCHP system. Under the constraint of equipment output and power balance, the optimization is carried out by Matlab. The simulation results show that the proposed optimization method for the CCHP system can effectively improve economic benefits, reduce pollution emission and improve energy utilization.
作者
贠保记
白森珂
张国
YUN Baoji;BAI Senke;ZHANG Guo(Xi'an University of Science and Technology,Xi'an 710054,China;Xi'an Xirui Control Technology Co.,Ltd.,Xi'an 710077,China;Xixian Public Utility Department,Changqing Oilfield Branch,Xi'an 710018,China)
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2020年第10期123-130,共8页
Power System Protection and Control
基金
陕西省重点产业创新(群)项目(2019ZDGU18-01)。
关键词
冷热电联供
多目标优化
混沌搜索
自适应粒子群算法
combined cooling heating and power(CCHP)
multi-objective optimization
chaotic search
adaptive particle swarm optimization
