LI JUN, ZHOU DONGDONG, ZHANG YUQIONG, et al. Distributed State Perception and Optimization of Distribution Network Based on Block Chain Technology. [J]. Power capacitor & reactive power compensation, 2020, 41(3): 163-169.
LI JUN, ZHOU DONGDONG, ZHANG YUQIONG, et al. Distributed State Perception and Optimization of Distribution Network Based on Block Chain Technology. [J]. Power capacitor & reactive power compensation, 2020, 41(3): 163-169. DOI: 10.14044/j.1674-1757.pcrpc.2020.03.026.
Distributed State Perception and Optimization of Distribution Network Based on Block Chain Technology
block chain technology is applied gradually in the study of energy internet.In order to exploit application potential of block chain technology in the distribution network further
a kind of distributed state perception and optimization method based on blockchain technology is proposed to replace the traditional optimization method which takes reliable communication as premises.With this method
sparse communication network is constructed in the block chain nodes of the distribution network through distributed arrangement.Small number of information is relied to interact with information and estimation method is adopted to achieve distributed state perception of the operation condition of distribution network.Then
the optimization model is subject to decentralized treatment and the convex relaxation method of second-order cone programming(SOCP) is combined to make the model convex and relaxed.Finally
the alternating direction method of multipliers(ADMM) is used to realize the whole distributed solution of the problem.The improved PG&E69 bus system is taken as an example to simulate and analyze the system under normal and fault communication conditions.It is shown by the result that the method has the advantages of low communication burden
high accuracy and can effectively improve the optimal operation capability of distribution network under weak communication conditions.
关键词
配电网区块链技术状态感知分布化优化
Keywords
distribution gridblock chain technologystate perceptiondistributed optimization