Network‐constrained unit commitment‐based virtual power plant model in the day‐ahead market according to energy management strategy

S Pirouzi - IET Generation, Transmission & Distribution, 2023 - Wiley Online Library
Energy management of a virtual power plant (VPP) that consists of wind farm (WF), energy
storage systems and a demand response program is discussed in the present study. The …

Energy management system based on economic Flexi-reliable operation for the smart distribution network including integrated energy system of hydrogen storage …

H Liang, S Pirouzi - Energy, 2024 - Elsevier
This paper presents the energy management of smart distribution network including
integrated system of hydrogen storage and renewable sources. Objective is to assess …

Directions of application of phasor measurement units for control and monitoring of modern power systems: a state-of-the-art review

A Pazderin, I Zicmane, M Senyuk, P Gubin, I Polyakov… - Energies, 2023 - mdpi.com
The development of modern power systems is directly related to changes in the traditional
principles of management, planning, and monitoring of electrical modes. The mass …

Resiliency-constrained placement and sizing of virtual power plants in the distribution network considering extreme weather events

M Zadehbagheri, M Dehghan, M Kiani, S Pirouzi - Electrical Engineering, 2024 - Springer
The placement and scale of virtual power plants (VPPs) in distribution networks are the only
topics covered in this article that pertain to the resilience of the grid to severe weather. This …

[HTML][HTML] Day-ahead energy market model for the smart distribution network in the presence of multi-microgrids based on two-layer flexible power management

GA Ranjbar, M Simab, M Nafar, M Zare - International Journal of Electrical …, 2024 - Elsevier
This study examines the implications of day-ahead energy markets (DA) for flexible power
management (FPM) in a smart distribution network (SDN) with multiple microgrids (MMGs) …

Powering Electricity Forecasting with Transfer Learning

F Kamalov, H Sulieman, S Moussa, J Avante Reyes… - Energies, 2024 - mdpi.com
Accurate forecasting is one of the keys to the efficient use of the limited existing energy
resources and plays an important role in sustainable development. While most of the current …

[HTML][HTML] Flexible energy management of storage-based renewable energy hubs in the electricity and heating networks according to point estimate method

XW Zhang, A Pirouzi - Energy Reports, 2024 - Elsevier
Hubs contain sources and storages that can transfer and store energy. It is predicted that the
energy management of hubs enhances the network's economic and technical status …

Using firefly algorithm to optimally size a hybrid renewable energy system constrained by battery degradation and considering uncertainties of power sources and …

T Yuan, Y Mu, T Wang, Z Liu, A Pirouzi - Heliyon, 2024 - cell.com
In this paper, the planning of a hybrid system of wind turbine units, photovoltaic panels, and
battery storage is presented by taking into account the limitation of the storage degradation …

Bulk Power Systems Emergency Control Based on Machine Learning Algorithms and Phasor Measurement Units Data: A State-of-the-Art Review

M Senyuk, S Beryozkina, M Safaraliev, A Pazderin… - Energies, 2024 - mdpi.com
Modern electrical power systems are characterized by a high rate of transient processes, the
use of digital monitoring and control systems, and the accumulation of a large amount of …

[HTML][HTML] Attention-Based Load Forecasting with Bidirectional Finetuning

F Kamalov, I Zicmane, M Safaraliev, L Smail, M Senyuk… - Energies, 2024 - mdpi.com
Accurate load forecasting is essential for the efficient and reliable operation of power
systems. Traditional models primarily utilize unidirectional data reading, capturing …