Low voltage distribution networks have been originally designed to feed loads. However, recently, small dispersed renewable generators, mainly photovoltaics, are being connected to the low voltage grids. This new operational framework represents a challenge to the planning and operation of distribution networks, since the multidimensional stochastic dependence structure of the joint behaviour o...

Distribution networks frequently experience cross-country failures (CCFs).This study presents research that demonstrates how Cross-Correlation may be used to extract distinctive features from faulty current signals, hence providing a threshold-based technique for fault identification. The most challenging aspect of dealing with HIF syndrome-related CCFs is recognizing and categorizing them. In ...

This paper develops a model-free volt-VAR optimization (VVO) algorithm via multi-agent deep reinforcement learning (DRL) in unbalanced distribution systems. method is novel since we cast the VVO problem networks to an intelligent Q-network (DQN) framework, which avoids solving specific model directly when facing time-varying operating conditions We consider statuses/ratios of switchable capacit...

The stability index is a function of real & reactive power injected at that node as well as of node voltage. The report presents stability analysis of radial distribution networks. Two voltage stability indexes are used for identifying the node, which is most sensitive to voltage collapse. Therefore to calculate node voltages for varying operating conditions a simple load flow technique for sol...

In order to solve the problem of low voltage caused by unbalanced load in distribution network, a transformer loss intelligent prediction model under is proposed. Firstly, mathematical with an established. The zero-sequence impedance and neutral line current are calculated using Chaos Game Optimization algorithm (CGO), correctness proved actual data. Then, correlation among network input variab...

With the large-scale distributed generations (DGs) being connected to distribution network (DN), traditional day-ahead reconfiguration methods based on physical models are challenged maintain robustness and avoid voltage off-limits. To address these problems, this paper develops a deep re-inforcement learning method for sequential with soft open points (SOPs) real-time data. A state-based decis...

Power distribution system in the country is characterized by high power losses, poor reliability of supply, frequent equipment burnouts etc. The traditional approach in electric power generation is to have centralized plants distributing electricity through an extensive transmission & distribution network. Distribution generation (dg) provides electric power at a site closer to the customer, el...

In the distribution network, addition of distributed power sources can improve voltage part system, provide uninterrupted supply, and reduce network losses. The location supply its output will also directly affect system loss. Therefore, determining optimal installation capacity generation is great significance to network. However, in actual due unbalanced load three-phase unbalance transmissio...

The impacts of the fast growth renewable energy sources (RESs) and distribution static synchronous compensators (D-STATCOMs) on unbalanced radial networks (URDNs) are analyzed with three-phase power flow algorithms (PFAs). As URDNs unbalanced, they can experience voltage unbalance (VU). This paper proposes a novel PFA for multiple RES D-STATCOM device integrations. bus number matrix (BNM) branc...

In this study, the radial distribution and gravimetric storage capacities of hydrogen on coronene (C24H12) and its Si substituted forms, C24H12, C24-nSinH12 (n= 4-24), have been investigated at 298 K and 0.1 MPa (standard situation) using (N,V,T) Monte Carlo simulation by Lennard-Jones (LJ) 12-6 potential. The results show that the increase of number of silicon substitution doesn’t have any eff...