电力系统自动化2017，Vol.41Issue(4)：12-19,8.DOI:10.7500/AEPS20160805007
基于串行和并行ADMM算法的电-气能量流分布式协同优化
Distributed Optimization of Electric-Gas Integrated Energy Flow Using Serial and Parallel Iterative Modes for Alternating Direction Method of Multipliers
摘要
Abstract
As the coupling and interaction between power systems and natural gas systems is becoming more and more frequent,it is necessary to consider the interdependence between the two to realize integrated optimization of electric-gas energy flow.In this paper,a decomposition coordination interactive mechanism is proposed by considering the characteristic of multi decisionmakers.Then,a distributed approach based on the alternating direction method of multipliers (ADMM) is developed to realize the distributed optimization between the power flow and gas flow.A serial iterative mode of ADMM based on Gauss-Seidel and a parallel iterative mode of ADMM based on Proximal Jacobian are given,respectively,and the differences between the two modes in communication,efficiency and application scope are discussed.Case studies based on the two integrated systems,namely,RTS79-GAS14 and IEEE 118-GAS90,demonstrate the effectiveness and feasibility of the proposed approach.关键词
综合能源网/分布式协同优化/交替方向乘子法/天然气/多能流/最优潮流Key words
integrated energy system/distributed optimization/alternating direction method of multipliers (ADMM)/natural gas/multi-energy flow/optimal power flow引用本文复制引用
瞿小斌,文云峰,叶希,李文沅..基于串行和并行ADMM算法的电-气能量流分布式协同优化[J].电力系统自动化,2017,41(4):12-19,8.基金项目
中央高校基本科研业务费专项资金资助项目(106112016CDJXY150002).This work is supported by Fundamental Research Funds for the Central Universities (No.106112016CDJXY150002). （106112016CDJXY150002）
