Arbitrage with power factor correction using energy storage

MU Hashmi, D Deka, A Bušić, L Pereira… - … on Power Systems, 2020 - ieeexplore.ieee.org
The importance of reactive power compensation for power factor (PF) correction will
significantly increase with the large-scale integration of distributed generation interfaced via …

Strategic Implicit Balancing with Energy Storage Systems via Stochastic Model Predictive Control

R Smets, K Bruninx, J Bottieau… - … on Energy Markets …, 2023 - ieeexplore.ieee.org
Battery Energy Storage Systems (BESS) may exploit the increasing price volatility in
imbalance settlement mechanisms via inter-temporal arbitrage. However, participating in …

Optimal storage arbitrage under net metering using linear programming

MU Hashmi, A Mukhopadhyay, A Bušić… - … for Smart Grids …, 2019 - ieeexplore.ieee.org
We formulate the optimal energy arbitrage problem for a piecewise linear cost function for
energy storage devices using linear programming (LP). The LP formulation is based on the …

Co-optimizing battery storage for energy arbitrage and frequency regulation in real-time markets using deep reinforcement learning

Y Miao, T Chen, S Bu, H Liang, Z Han - Energies, 2021 - mdpi.com
Battery energy storage systems (BESSs) play a critical role in eliminating uncertainties
associated with renewable energy generation, to maintain stability and improve flexibility of …

Storage optimal control under net metering policies

MU Hashmi, A Mukhopadhyay, A Bušić… - arxiv preprint arxiv …, 2020 - arxiv.org
Electricity prices and the end user net load vary with time. Electricity consumers equipped
with energy storage devices can perform energy arbitrage, ie, buy when energy is cheap or …

[책][B] Battery State Estimation: Methods and Models

S Wang - 2021 - researchgate.net
Battery State Estimation Methods and models Page 1 Battery State Estimation Methods and
models Edited by: Shunli Wang This concise work captures the methods and techniques for …

Optimization and control of storage in smart grids

MU Hashmi - 2019 - theses.hal.science
This thesis is motivated by the electric power system transformations due to more renewable
integration and changing consumption patterns. Energy storage is one possible solution to …

Sensitivity to forecast errors in energy storage arbitrage for residential consumers

D Kiedanski, MU Hashmi, A Bušić… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
With the massive deployment of distributed energy resources, there has been an increase in
the number of end consumers that own photovoltaic panels and storage systems. The …

Co-optimizing energy storage for prosumers using convex relaxations

MU Hashmi, D Deka, A Bušić, L Pereira… - … on Intelligent System …, 2019 - ieeexplore.ieee.org
This paper presents a new co-optimization formulation for energy storage for performing
energy arbitrage and power factor correction (PFC) in the time scale of minutes to hours …

[PDF][PDF] Bridging machine learning to power system operation and control

Y Chen - University of Washington: Seattle, WA, USA, 2020 - researchgate.net
The high penetration of renewables, the transformation of distribution networks, and the
integration of new players such as electric vehicles (EVs), smart buildings and energy …