Deep reinforcement learning-based voltage control to deal with model uncertainties in distribution networks
This paper addresses the voltage control problem in medium-voltage distribution networks.
The objective is to cost-efficiently maintain the voltage profile within a safe range, in …
The objective is to cost-efficiently maintain the voltage profile within a safe range, in …
A new voltage sensitivity analysis method for medium-voltage distribution systems incorporating power losses impact
In this paper, a novel voltage sensitivity analysis method is proposed. It presents a
complementary formulation of the direct sensitivity analysis approach which has been …
complementary formulation of the direct sensitivity analysis approach which has been …
Machine learning-based classification of electrical low voltage cable degradation
Low voltage distribution networks have not been traditionally designed to accommodate the
large-scale integration of decentralized photovoltaic (PV) generations. The bidirectional …
large-scale integration of decentralized photovoltaic (PV) generations. The bidirectional …
Robust voltage control algorithm incorporating model uncertainty impacts
This study addresses the voltage control problem of the medium‐voltage distribution
systems under uncertainty of the network model. A robust voltage control algorithm (RVCA) …
systems under uncertainty of the network model. A robust voltage control algorithm (RVCA) …
Analysis of voltage limit‐induced barrier for connecting inverter‐based distributed generators to medium voltage networks: Australian case studies
Inverter‐based distributed generators (IBDGs), mainly solar photovoltaic, connected in
medium‐voltage (MV) networks cause challenges, such as voltage limit violations, for …
medium‐voltage (MV) networks cause challenges, such as voltage limit violations, for …
Rnr: reliability oriented network restructuring
This paper presents the reliability indicators for power system restructuring. A reliability
oriented network restructuring (RNR) mathematical formulation is proposed for solving …
oriented network restructuring (RNR) mathematical formulation is proposed for solving …
Probabilistic Optimal Scheduling Method for Distribution Network with Photovoltaic-storage System Considering Voltage Fluctuation Suppression
K Huang, X Chen, Y Zou, Y Zhao… - 2023 IEEE 5th …, 2023 - ieeexplore.ieee.org
To address the problems of voltage violations and voltage fluctuation caused by high
penetration of photovoltaic (PV) in distribution network (DN), a probabilistic optimal …
penetration of photovoltaic (PV) in distribution network (DN), a probabilistic optimal …
Reconfigurable and flexible voltage control strategy using smart PV inverters with integrated energy storage for advanced distribution systems
A novel circuit topology is proposed for utility‐owned photovoltaic (PV) inverters with
integrated battery energy storage system (BESS) and compared to two state‐of‐the‐art …
integrated battery energy storage system (BESS) and compared to two state‐of‐the‐art …
An innovative centralized voltage control method for MV distribution systems based on deep reinforcement learning: Application on a real test case in Benin
This paper proposes an innovative centralized approach for voltage constraints
management in the medium-voltage (MV) distribution systems based on the use of deep …
management in the medium-voltage (MV) distribution systems based on the use of deep …
Global Sensitivity Analysis Based Method for Distributed Voltage Control Performance Study
Various sources of uncertainty can jeopardize the performance of control algorithms when
practically implemented in power systems. This paper proposes a novel and replicable …
practically implemented in power systems. This paper proposes a novel and replicable …