基于ADMM的电-气综合能源系统分布式滚动优化调度

Distributed Rolling Optimization Scheduling of Electric Gas Integrated Energy System Based on ADMM

电-气综合能源系统优化调度是提高系统经济效益的重要手段,而其优化调度模型复杂、约束条件较多、求解困难,同时负荷及可再生能源预测值存在较大误差。针对这一问题,首先构建集中式优化调度模型,其次采用交替方向乘子算法(Alternative direction multiplier method,ADMM)将集中式优化调度模型转化为两个可以信息交互的子系统,同时将滚动优化方法引入到算法之中,构建分布式滚动优化调度模型。最后通过算例验证了所提方法的可行性及有效性,一定程度上减小了预测误差对系统的影响;对比三种优化模型下系统运行成本,证明分布式滚动优化模型算法收敛性好的同时具有一定的经济效益。

The optimal dispatch of electricity gas integrated energy system is an important means to improve the economic benefits of the system. However, its optimal dispatch model is complex, with many constraints and difficult to solve. At the same time, there are large errors in the load and renewable energy forecast values. In order to solve this problem, firstly, a centralized optimal scheduling model is constructed. Secondly, ADMM is used to transform the centralized optimal scheduling model into two subsystems that can interact with each other. At the same time, rolling optimization method is introduced into the algorithm to build a distributed rolling optimal scheduling model. Finally, an example is given to verify the feasibility and effectiveness of the proposed method, which reduces the impact of prediction error on the system to a certain extent. By comparing the system operation cost of three optimization models, it shows that the distributed rolling optimization model has good convergence and certain economic benefits.