基于并行ADMM的分布式电-气能量流多目标协同优化

Multi-objective collaborative optimization of distributed electricity-gas energy flow based on parallel ADMM

在能源互联网的背景下,电力系统与天然气系统互联以实现能量双向流动,此时对电-气耦合系统的电-气能量流进行协同优化很有必要。同时,为协调电力系统与天然气系统在多个目标下的矛盾冲突,需考虑如何实现多目标下系统最优调度运行。针对以上问题,并考虑到电力系统与天然气系统通常隶属于分布自治的经营主体,文章提出一种基于并行交替方向乘子法(Alternating Direction Method of Multipliers,ADMM)的分布式电-气能量流多目标协同优化算法,利用分解协同交互机制实现电力流与天然气流的分布式多目标并行优化,并针对算法的原理、收敛性能以及相关参数对算法的影响对该算法进行深入探讨。最终,在基于IEEE 39节点电力网络和Belgian 20天然气网络搭建的电-气耦合能源系统上进行仿真测试,仿真结果验证了所述算法的有效性。

In the context of the energy Internet,the power system is interconnected with the natural gas system to achieve two-way flow of energy.At this time,it is necessary to coordinate the electro-gas energy flow of the electro-pneumatic coupling system.Meanwhile,in order to coordinate the conflict between the power system and the natural gas system under multiple objectives,it is necessary to consider how to achieve optimal scheduling operation of the system under multiple objectives.In view of the above problems,and considering that the power system and the natural gas system are usually affiliated to the distributed autonomy business entity,this paper proposes a distributed electric-gas energy flow based on the alternating direction method of multipliers(ADMM).The target collaborative optimization algorithm uses the decomposition collaborative interaction mechanism to realize distributed multi-objective parallel optimization of power flow and natural gas flow.The algorithm is deeply discussed based on the principle of the algorithm,convergence performance and the influence of related parameters on the algorithm.Finally,the simulation test is carried out on the electro-pneumatic coupled energy system based on the IEEE39-node power network and the Belgian 20 natural gas network.The simulation results verify the effectiveness of the proposed algorithm.