Xianzhong Duan

TL;DR: In this article, the authors introduced the familiar interfaces between DGs and distribution networks and analyzed the operation modes and control characteristics of typical DGs including asynchronous generators, synchronous generators with constant values of excitation voltage, and fuel cells.

TL;DR: This paper proposed a deep architecture termed predictive spatio-temporal network (PSTN), which is a unified framework integrating a convolutional neural network and a long short-term memory (LSTM), which can learn temporal and spatial correlations jointly.

TL;DR: A novel decomposition and coordination method based on the cooperative co-evolutionary architecture and the voltage-var sensitivity-based power system decomposition technique is proposed and incorporated with DE, implemented with a three-level parallel computing topology on a PC-cluster.

TL;DR: Differential evolution is studied in detail for optimal reactive power flow (ORPF) problems and it is found that DE is generally a good algorithm for ORPF and worthy of more attention, however, it is also found that it requires relatively large populations to avoid premature convergence.

TL;DR: Experimental results and comparisons with other recently reported ED solution methods confirm that MsEBBO is capable of yielding a good balance between exploration and exploitation, and obtaining competitive solution quality.