基于粒子群算法的区域综合能源优化调度方法

Optimal scheduling of regional integrated energy based on particle swarm optimization

发展综合能源系统是实现能源互联网的必由之路,区域内综合能源的协调运行是实现电、热、气多能互补的关键。首先分析了风机、燃机和储能等装置的控制运行特性,介绍了不同运行场景下,各种装置的协调运行规律,以系统整体运行费用最小为优化目标,计及安全稳定等约束条件,建立电-热-气区域综合能源调度模型;然后,上述模型同时包含电、热、气多种复杂运行约束条件,变量之间交互耦合,传统数学优化方法难以直接求解,为此采用粒子群算法进行优化;最后,通过仿真算例进行验证,在不同优化目标的计算结果表明本文模型和算法的正确性和有效性。

The development of integrated energy system is the only way to realize the energy Internet.The coordinated operation of integrated energy in the region is the key to realize the complementary of electricity,heat and gas.Firstly,the control and operation characteristics of wind turbine,gas turbine and energy storage device are analyzed.Taking the minimum operation cost as the optimization objective and considering the constraints of safety and stability,the comprehensive energy scheduling model of electricity heat gas area is established.Then,the proposed model contains a variety of complex operation constraints of electricity,heat and gas,while the variables are coupled with each other.It means that traditional mathematical optimization methods is difficult to solve this model.Therefore,particle swarm optimization algorithm is used.Finally,the simulation results show that the proposed model and algorithm are correct and effective.