基于二层规划的用户侧能源互联网规划

Optimal Planning of Energy Internet near User Side Based on Bi-Level Programming

针对能源系统规划中对多个供能区域的协调互济及多能流联合调度考虑不足的现状,研究基于二层规划的用户侧能源互联网规划方法。首先,梳理供能系统结构,对各能量单元建模,并分析用户侧能源互联网内的负荷特性;其次,综合考虑多种能源互联、多个供能区域协调互济及多能流联合调度,建立用户侧能源互联网的二层规划模型,上层以年费用最低为目标,各能量单元的安装容量为优化变量,下层以年运行费最低为目标,各时段能量单元的调度值为优化变量;最后,采用精英保留策略遗传算法对上层规划模型求解,下层为0-1混合整数线性规划模型,采用分支定界法求解。算例表明:所提规划建模方法具有可行性和有效性;多能流联合调度、多区域协调互济可以大幅削减年费用,还可缓解负荷与燃机热电比不匹配等问题;通过多种能源网络实现互联较通过单一电网或热网互联更经济。

Because of the situations that the interconnection among multi distributed energy system( DES)and interaction among electric,heating and cooling system are not given full consideration,optimal planning of energy internet near user side based on bi-level programming is studied in this paper. First,schematic structure along with mathematic models of each unit is proposed and load characteristic is analyzed. Considering the interconnection of multi energy as well as multi distributed system and the combined dispatch of multi energy flow,a bi-level programming model is then presented. The minimum of total annual cost is the objective of upper model whose decision variables are the capacity of each energy unit and minimum annual operating cost is the lower model' s objective whose decision variables are the output of all energy units. Then,the elitist strategy genetic algorithm is employed to solve the upper model and branch & bound algorithm is applied to optimizing lower model that is a mixed integer linear programming problem. The simulation results indicate: the proposed planning method of energy internet is effective; multi energy flow interaction and multi energy router interconnection are more economic than traditional combined cooling heating and electricity( CCHP) and can alleviate the mismatch of heat-to-electricity ratio between gas turbine and loads; multi energy networks by which DES are interconnected contributes to higher economic benefits than single electric or heating network.