Application of two-stage robust optimization theory in power system scheduling under uncertainties: A review and perspective
Multi-uncertainties impose enormous challenges to the optimal scheduling of power
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …
Deep reinforcement learning based volt-var optimization in smart distribution systems
This paper develops a model-free volt-VAR optimization (VVO) algorithm via multi-agent
deep reinforcement learning (DRL) in unbalanced distribution systems. This method is novel …
deep reinforcement learning (DRL) in unbalanced distribution systems. This method is novel …
Multi-agent deep reinforcement learning for voltage control with coordinated active and reactive power optimization
The increasing penetration of distributed renewable energy resources causes voltage
fluctuations in distribution networks. The controllable active and reactive power resources …
fluctuations in distribution networks. The controllable active and reactive power resources …
Deep reinforcement learning enabled physical-model-free two-timescale voltage control method for active distribution systems
Active distribution networks are being challenged by frequent and rapid voltage violations
due to renewable energy integration. Conventional model-based voltage control methods …
due to renewable energy integration. Conventional model-based voltage control methods …
Droop control method to achieve maximum power output of photovoltaic for parallel inverter system
W Zhang, Z Zheng, H Liu - CSEE Journal of Power and Energy …, 2021 - ieeexplore.ieee.org
In general, the power distribution of a parallel inverter is achieved by the use of droop
control in a microgrid system, which consists of PV inverters and non-regeneration energy …
control in a microgrid system, which consists of PV inverters and non-regeneration energy …
Hierarchically-coordinated voltage/VAR control of distribution networks using PV inverters
Photovoltaic (PV) inverters can provide fast and flexible reactive power support for voltage
regulation and power loss reduction in distribution networks. Conventionally, central and …
regulation and power loss reduction in distribution networks. Conventionally, central and …
Distributed adaptive robust voltage/var control with network partition in active distribution networks
This paper proposes a distributed adaptive robust voltage/var control (DAR-VVC) method in
active distribution networks to minimize power loss while keeping operating constraints …
active distribution networks to minimize power loss while keeping operating constraints …
Interval optimization based coordination of demand response and battery energy storage system considering SOC management in a microgrid
Microgrids can effectively integrate distributed generation (DG) to supply power to local
loads. However, uncertainties from renewable DG and loads may lead to increased …
loads. However, uncertainties from renewable DG and loads may lead to increased …
MPC-based decentralized voltage control in power distribution systems with EV and PV coordination
Distribution systems are growing rapidly in size and complexity with increased penetrations
of distributed energy resources (DER) and electric vehicles (EVs), leading to operational …
of distributed energy resources (DER) and electric vehicles (EVs), leading to operational …
Model-free voltage control of active distribution system with PVs using surrogate model-based deep reinforcement learning
Accurate knowledge of the distribution system topology and parameters is required to
achieve good voltage control performance, but this is difficult to obtain in practice. This paper …
achieve good voltage control performance, but this is difficult to obtain in practice. This paper …