Open AccessDynamic Reconfiguration Method of Distribution Network Containing Microgrid
Author(s) -
Xuejie Wang,
Yanchao Ji,
Jianze Wang,
Yuanjun Wang,
Lei Qi
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1578/1/012225
Subject(s) - control reconfiguration , microgrid , randomness , mathematical optimization , computer science , probabilistic logic , distributed generation , power (physics) , superposition principle , function (biology) , algorithm , control theory (sociology) , mathematics , mathematical analysis , statistics , physics , control (management) , quantum mechanics , artificial intelligence , evolutionary biology , biology , embedded system
The application of distributed power in the system has changed many characteristics of the traditional distribution network. Based on the consideration of the randomness of the load and the fluctuation and randomness of the output of the distributed generation, a new reconfiguration model of the distribution network with microgrid is established in this paper. Dynamic reconstruction is not a simple superposition of reconstructions in sub-periods. The influence of the number of switching operations on the operation mode between adjacent sub-periods and the overall optimality of the objective function must also be considered. The mathematical probability models of distributed generations and load are constructed in this paper. The dynamic reconfiguration is completed on the basis of probabilistic power flow. The objective function is calculated by stochastic power flow. The optimization algorithm is applied to the reconstruction process. The simulation results verify the effectiveness of the proposed model and algorithm in dynamic reconstruction.