This paper proposes a post-disaster cyber-physical interdependent restoration scheduling (CPIRS) framework for active distribution networks (ADN) where the simultaneous damages on cyber and physical are considered. The ad hoc wireless device-to-device (D2D) communication is leveraged, first time, to establish instantly after disaster support ADN restoration. repair operation crew dispatching, r...

This paper presents a novel semisupervised learning algorithm called Active Deep Networks (ADN), to address the semi-supervised sentiment classification problem with active learning. First, we propose the semi-supervised learning method of ADN. ADN is constructed by Restricted Boltzmann Machines (RBM) with unsupervised learning using labeled data and abundant of unlabeled data. Then the constru...

This paper analyzes multiple active management (AM) techniques of active distribution network (ADN), and proposes an optimal coordination model of intermittent distributed generation (IDG) accommodation considering the timing characteristic of load and IDG. The objective of the model is to maximize the daily amount of IDG accommodation under the uncertainties of IDG and load. Various active man...

The impending deregulated environment facing the electric utilities in the twenty first century is both a challenge and an opportunity for a variety of technologies and operating scenarios. Changing regulatory and economic scenarios, energy savings and environmental impacts are providing impetus to the development of an Active Distribution Networks (ADN), which is predicated to play an increasi...

A competent methodology based on the active power loss reduction for optimal placement and sizing of distributed generators (DGs) in an distribution network (ADN) with several soft open points (SOPs) is proposed. series SOP combinations are explored to generate different structures they utilized optimization framework identify possible solutions minimum under normal conditions. Furthermore, a g...

In recent years, with the rapid development of renewable energy, penetration rate energy generation in active distribution network (ADN) has increased. Because instability generation, operation stability ADN decreased. Due to ability cut peak load and fill valley load, battery storage systems (BESSs) can enhance electric system. However, placement capacity BESSs connected are extremely signific...

High penetration of distributed renewable energy sources and electric vehicles (EVs) makes future active distribution network (ADN) highly variable. These characteristics put great challenges to traditional voltage control methods. Voltage based on the deep Q-network (DQN) algorithm offers a potential solution this problem because it possesses human-level performance. However, DQN methods may p...

The irregularity and randomness of distributed energy sources’ (DERs) output power characteristic usually brings difficulties for grid analysis. In order to reliably and deterministically evaluate intermittent distributed generation’s active power output, a credible capacity index for active distribution network (ADN) is proposed. According to the definition, it is a certain interval that the s...

Relying on the power flexibility of distributed energy resources (DERs) located in an active distribution network (ADN), this ADN will be able to provide upper-layer grid at their point common coupling (PCC). The is defined as additional bi-directional active/reactive powers a resource can by adjusting its operating point. In context, paper presents two-stage management method deliver, PCC, tha...

With a proliferation of diverse types renewable distributed generation (DG) into the distribution network, an equivalent model active network (ADN) is extremely important, since detailed modeling whole ADN much more complex and time consuming. However, different studies developed structures ADNs, which are difficult to be applied in power system simulation. At same time, DG’s low voltage ride t...