Online optimization in power systems with high penetration of renewable generation: Advances and prospects
Traditionally, offline optimization of power systems is acceptable due to the largely
predictable loads and reliable generation. The increasing penetration of fluctuating …
predictable loads and reliable generation. The increasing penetration of fluctuating …
[HTML][HTML] Smart optimization in battery energy storage systems: An overview
The increasing drive towards eco-friendly environment motivates the generation of energy
from renewable energy sources (RESs). The rising share of RESs in power generation …
from renewable energy sources (RESs). The rising share of RESs in power generation …
Online distributed optimization for spatio-temporally constrained real-time peer-to-peer energy trading
The proliferation of distributed renewable energy triggers the peer-to-peer (P2P) energy
market formations. To make profits, prosumers equipped with photovoltaic (PV) panels and …
market formations. To make profits, prosumers equipped with photovoltaic (PV) panels and …
A distributed online algorithm for promoting energy sharing between EV charging stations
In recent years, electric vehicle (EV) charging stations have experienced an increasing
supply-demand mismatch due to their fluctuating renewable generation and unpredictable …
supply-demand mismatch due to their fluctuating renewable generation and unpredictable …
[HTML][HTML] Battery control with lookahead constraints in distribution grids using reinforcement learning
In this paper, a computationally efficient real-time control of a battery with lookahead state-of-
energy constraints in active distribution grids with distributed energy sources is presented …
energy constraints in active distribution grids with distributed energy sources is presented …
Event-triggered online energy flow control strategy for regional integrated energy system using Lyapunov optimization
Abstract Regional Integrated Energy System (RIES) provides an inspiring perspective for
constructing the future-oriented Energy Internet. However, the integration of heterogeneous …
constructing the future-oriented Energy Internet. However, the integration of heterogeneous …
Reinforcement Learning Based Dispatch of Batteries
P Benedicto, R Silva, C Gouveia - 2024 IEEE 22nd …, 2024 - ieeexplore.ieee.org
Microgrids are poised to become the building blocks of the future control architecture of
electric power systems. As the number of controllable points in the system grows …
electric power systems. As the number of controllable points in the system grows …
An optimization framework for distributed energy resource planning and energy management strategy of storage devices and electric vehicles
This paper proposes an optimal coordination strategy for electric vehicles and energy
storage devices in distribution grids besides the optimal allocation problem of renewable …
storage devices in distribution grids besides the optimal allocation problem of renewable …
Distributed Reinforcement Learning for Real-Time Batteries Control Using Lagrangian Decomposition
This paper presents an efficient distributed real-time control scheme for a set of batteries in
power grids to follow a day-ahead dispatch plan. The problem of controlling the batteries is …
power grids to follow a day-ahead dispatch plan. The problem of controlling the batteries is …
Economic MPC with an Online Reference Trajectory for Battery Scheduling Considering Demand Charge Management
Monthly demand charges form a significant portion of the electric bill for microgrids with
variable renewable energy generation. A battery energy storage system (BESS) is …
variable renewable energy generation. A battery energy storage system (BESS) is …