Research on distributed cooperative optimisation control strategy for active distribution network based on combine‐then‐adapt diffusion algorithm. Issue 16 (6th February 2019)

• Record Type: Journal Article
• Authors: Wu, Lizhen; Jiang, Libo; Hao, Xiaohong; Zheng, Tianwen
• Is Part Of: Journal of engineering. Volume 2019:Issue 16(2019)
• Page Start: 1911
• Page End: 1917
• Publication Date: 2019-02-06
• Subjects: distributed control -- optimisation -- power distribution faults -- distribution networks -- multi‐agent systems -- distributed power generation -- power generation control -- power distribution control; distributed hierarchical control method -- networked system -- distribution generator -- adaptive adjacency matrix -- fusion matrix -- active power optimisation dispatching -- active distribution network -- combine‐then‐adapt diffusion algorithm -- IEEE14‐bus distribution test system -- distributed cooperative optimisation control strategy -- highly intermittent renewable generations -- distributed cooperative optimisation operation strategy -- distributed agents -- distributed generators -- distributed sparse network; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2018.8821
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : Considering the problem of cooperative operation of highly intermittent renewable generations (photovoltaic and wind power) and flexible load in active distribution network, a distributed cooperative optimisation operation strategy based on combine‐then‐adapt diffusion algorithm is proposed in this study. Distributed agents of distributed generators are connected by the distributed sparse network through distributed hierarchical control method. As an agent node of networked system, it interchanges information with its neighbours. In order to make the distribution generator meet the equal incremental cost principle, the adaptive adjacency matrix and fusion matrix with the weighted factor are introduced to update the state value of nodes to obtain the same convergence value. In this strategy, the coordinated source and load is applied by the active power optimisation dispatching for active distribution network. Stimulate analysis and experimental results show that the proposed combine‐then‐adapt diffusion algorithm can effectively solve the problem of real‐time detection signal, can quickly learn and adapt to environmental changes. Finally, the simulation analysis and experimental results of IEEE14‐bus distribution test system is carried out to verify the effectiveness and feasibility of the proposed method.