基于粒子群算法的城镇综合能源系统优化调度研究

Research on Optimal Scheduling of Urban Integrated Energy System Based on Particle Swarm Algorithm

为解决高速城镇化进程中能源领域面临的清洁能源利用率不足、用能成本过高等问题,搭建了城镇综合能源系统的优化调度模型。考虑到多能源的协同作用和互补效益,针对所搭建的城镇综合能源系统,提出以成本最小为目标函数,系统功率平衡、各设备的运行限值为主要约束的能源供给网络规划模型。采用参数优化的粒子群算法对模型进行求解,并对该系统在并网和孤岛运行两种情况下的冬夏两季典型日能源供需进行了仿真研究,得到对城镇能源供给网络的系统调度方案,以宁夏某城镇的能源使用为案例进行分析。结果表明,城镇能源系统按上述方式进行调度时可有效利用清洁能源,供能可靠性和经济性更优。

In order to solve the problems of insufficient utilization of clean energy and high energy cost in the energy field in the process of high-speed urbanization,an optimal scheduling model for urban integrated energy systems was established.Considering the synergy and complementary benefits of multiple energy sources,an energy supply network planning model with minimum cost as the objective function,system power balance and operating limits of each device as the main constraints is proposed for the integrated urban energy system.The parameter optimization particle swarm optimization algorithm is used to solve the model,and the typical daily energy supply and demand in the winter and summer seasons of the system under grid-connected and island-running conditions are simulated.The system scheduling scheme for urban energy supply network is obtained.The energy use of a town is analyzed for the case.The results show that the urban energy system can effectively use clean energy when dispatching in the above manner,and the energy supply reliability and economy are better.