Due to the interconnection and active management of Distributed Generation (DG) and Energy Storage Systems (ESSs), the traditional electrical distribution network has become an Active Distribution Network (ADN), posing challenges to the operation optimization of the network. The power supply and storage capacity indexes of a Local Autonomy Control Region (LACR), which consists of DGs, ESSs and ...

This is the second part of a companion paper on variable reverse power flow (VRPF) in active distribution networks (ADNs) with wind stations (WSs). Here, we propose an electricity market model considering agreements between the operator of a medium-voltage active distribution network (MV-ADN) and the operator of a high-voltage transmission network (HV-TN) under different scenarios. The proposed...

[1] Recession flows in a basin are controlled by the temporal evolution of its active drainage network (ADN). The geomorphological recession flow model (GRFM) assumes that both the rate of flow generation per unit ADN length (q) and the speed at which ADN heads move downstream (c) remain constant during a recession event. Thereby, it connects the power law exponent of –dQ/dt versus Q (discharge...

The high penetration of renewable Distributed Generators (DGs) in the Active Distribution Network (ADN) addition to its advantages brings great challenges for ADN, due their intermittent and uncertain generations. Increasing network flexibility using Soft Open Points (SOPs) is an effective solution overcome these challenges. However, SOP-based ADN may contain various or Controllable DGs (CDGs),...

With the gradual increase of distributed energy penetration, traditional optimization model distribution network can no longer guarantee stable and efficient operation network. In order to deal with inevitable uncertainty energy, a new robust optimal method is proposed for active (ADN) based on minimum confidence interval Beta in this paper. First, an ADN established second-order cone include s...

It has recently been shown that using battery storage systems (BSSs) to provide reactive power provision in a medium-voltage (MV) active distribution network (ADN) with embedded wind stations (WSs) can lead to a huge amount of reverse power to an upstream transmission network (TN). However, unity power factors (PFs) of WSs were assumed in those studies to analyze the potential of BSSs. Therefor...

This paper investigates the effect of simultaneous placement of DGs and smart meters (SMs), on voltage profile improvement in active distribution networks (ADNs). A substantial center of attention has recently been on responsive loads initiated in power system problem studies such as distributed generations (DGs). Existence of responsive loads in active distribution networks (ADNs) would have u...

A blockchain-based power transaction method is proposed for Active Distribution Network (ADN), considering the poor security and high cost of a centralized trading system. Firstly, decentralized blockchain structure ADN built information kept in blocks. Secondly, needs between users suppliers ADN, an energy request mechanism proposed, optimization objective function designed by integrating awar...

To strengthen the integration of the primary and secondary systems, a concept of Cyber Physical Systems (CPS) is introduced to construct a CPS in Power Systems (Power CPS). The most basic work of the Power CPS is to build an integration model which combines both a continuous process and a discrete process. The advanced form of smart grid, the Active Distribution Network (ADN) is a typical examp...

Driven by the improvement of smart grid, active distribution network (ADN) has attracted much attention due to its characteristic management. By making full use electricity price signals for optimal scheduling, total cost ADN can be reduced. However, day-ahead scheduling problem is challenging since future unknown. Moreover, in ADN, some schedulable variables are continuous while discrete, whic...