Amjad Anvari-Moghaddam

Amjad Anvari-Moghaddam
Aalborg University · Department of Energy (AAU Energy)

Ph.D.

About

332
Publications
119,534
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
6,678
Citations
Citations since 2016
301 Research Items
6382 Citations
201620172018201920202021202205001,0001,500
201620172018201920202021202205001,0001,500
201620172018201920202021202205001,0001,500
201620172018201920202021202205001,0001,500
Additional affiliations
September 2015 - present
Aalborg University
Position
  • Professor (Associate)

Publications

Publications (332)
Article
Inverter air-conditioning (IAC) units have been proved to be effective in frequency regulation by providing flexible capacities. This paper proposes a brain emotional learning (BEL)-based controller to provide the IACs with control signals to be efficiently involved in the frequency regulation in power systems. The BEL-based controller can learn qu...
Article
Full-text available
Affordable and clean energy is one of the sustainable development goals (SDGs) introduced by the United Nations that are required to be followed by all developed and developing countries [...]
Conference Paper
In a digital controlled system, the delay is inevitable. It will change the phase-frequency characteristics of the system, which will affect the stability. This paper analyzes the configuration of the grid-following converter and builds its small-signal model in detail. The impacts of delay on the stability of grid-following converters are analyzed...
Conference Paper
The behind-the-meter (BTM) battery energy storage system (BESS) is mainly utilized for providing load management. But the saved electricity bill hardly offsets the high upfront investment cost. The multi-revenue streams created by certain stackable services can offset the initial cost by reasonably designing the size and operation strategy of BESS....
Article
Full-text available
Today, due to the high penetration of renewable energy resources and restructuring of power systems, photovoltaic power plants (PVPPs) and wind power plants (WPPs) as renewable power plants (RPPs) can participate in the electricity markets. However, the intermittent power generation of RPPs may be challenging for the owners of these power plants. I...
Article
Integrated energy systems (IESs) have attracted wide attention as effective frameworks to develop efficient use of energy resources. Proactive preparedness is a sensible approach for integrated distribution networks (IDNs) to propitiously cope with high-impact rare (HR) events. In this paper, a resilient-constrained two-stage expansion planning met...
Article
Full-text available
Due to the growing concerns regarding environmental and economic issues in power systems, nowadays the application of renewable energy sources (RES), especially wind energy has been increased. However, the increasing penetration of wind power plants (WPPs) into the grid has raised numerous challenges including output power fluctuations as well as t...
Article
In the present context, the global concern on energy consumption and management have been significantly increased due to the environmental issues, such as global warming and greenhouse gas emission. The heating supply is one of the most energy-intensive applications at present, and this study presents an effective model for planning and utilizing a...
Article
Full-text available
The two-way communication of electricity and information in smart homes facilitates the optimal management of devices with the ability to charge and discharge, such as electric vehicles and electrical storage systems. These devices can be scheduled considering domestic renewable energy units, the energy consumption of householders, the electricity...
Article
Full-text available
In this paper, a new energy management model is proposed to determine the optimal scheduling of an office building which includes electric vehicle (EV) charging piles, batteries, and rooftop photovoltaic systems. To optimally manage the electricity procurement of the building and mitigate the rate of transformer aging, the building energy managemen...
Article
Developing alternative and hybrid solution proposals for increasing Primary Resource Factor (PRF) values of the provinces in Turkey will lead to an increase in the use of renewable energy resources. In this study, each renewable energy sources should be evaluated with data envelopment analysis, and the obtained solution proposals for each province...
Article
Full-text available
This paper proposes an adaptive grid impedance shaping approach, implemented through a variable structure virtual impedance control strategy (VS-VIS), to improve the power flow control of grid-forming power converters (GF-PC). In this strategy, an equivalent grid impedance estimator (EGIE) evaluates the feeder X/R ratio to determine the required vi...
Article
Full-text available
This paper proposes a learning-based finite control set model predictive control (FCS-MPC) to improve the performance of DC-DC buck converters interfaced with constant power loads in a DC microgrid (DC-MG). An approach based on deep reinforcement learning (DRL) is presented to address one of the ongoing challenges in FCS-MPC of the converters, i.e....
Article
This paper proposes a coordinated control strategy for a Virtual Power Plant (VPP) contribution to load frequency control. The considered VPP comprises distributed Battery Energy Storage Systems (BESSs) and Heat Pump Water Heaters (HPWHs). The frequency regulation signal is distributed between thermal generator and the VPP based on distribution coe...
Article
The role of electric vehicles (EVs) in energy systems will be crucial over the upcoming years due to their environmental-friendly nature and ability to mitigate/absorb excess power from renewable energy sources. Currently, a significant focus is given to EV smart charging (EVSC) solutions by researchers and industries around the globe to suitably m...
Article
The distribution of electric vehicle (EV) charging areas is affected by customers’ behaviors, which has strong temporal and spatial characteristics. Thus, some charging stations (CSs) are always busy, practically, whereas others are not, which leads to lower charging efficiency and profit. To solve this, a consumer-oriented charging incentive strat...
Article
This paper presents a distributed fault-tolerant finite-time control algorithm for the secondary voltage and frequency restoration of islanded inverter-based Alternating Current (AC) Microgrids (MGs) considering input saturation and faults. Most existing distributed methods commonly design the secondary control layer based on ideal conditions of th...
Article
In this paper, a flexibility oriented stochastic scheduling framework is presented to evaluate short-term reliability and economic of islanded microgrids (MGs) under different incentive-based DR (IBDR) programs. A multi-period islanding constraint is considered to prepare the MG for a resilient response once a disturbance occurs in the main grid. A...
Article
Due to the environmental concerns, getting deteriorated ongoing, it is becoming essential to encourage people to use sustainable energies. One of the most effective alternatives to mitigate pollution is to promote green mobility via electric vehicles. However, the lack of electric charging stations may decrease individuals’ satisfaction to use elec...
Article
Full-text available
Distributed energy resources are being progressively deployed by industry. The penetration of distributed generation in low voltage (LV) networks can position traditional consumers as market participants. With the improvements in communication networks and the introduction of new energy markets, these prosumers are incentivized to sell their excess...
Article
Full-text available
This article provides a two-stage robust energy management method for a self-healing smart building that can handle contingencies that occur during real-time operation. Aside from an electrical link with the distribution network, the smart building is equipped with a diesel generator and photovoltaic solar power generating systems. The energy manag...
Article
This paper aims to develop a linear two-stage optimization problem based on an attacker-defender resilient planning (AD-RP) model to improve the power system's operational and infrastructural resilience in the face of low-probability high-impact events. In the developed model, attackers are natural phenomena that can cause the most severe damage to...
Article
Full-text available
Non-uniform irradiance due to partial shading conditions (PSCs) reduces the power delivered by the photovoltaic (PV) cell. The output power reduction in the PV arrays directly depends on the shading pattern and type of array configuration which is selected. So far, many dynamic and static reconfiguration methods have been used for maximum power poi...
Chapter
The enhancing influence level of renewable energy sources (RESs), particularly wind energy sources (WESs), leads to technical challenges in power system operation procedures, such as changing the traditional operation scheduling. Due to maintaining the power balance among generation and utilization, the outstanding facility to tackle the intermitte...
Poster
Full-text available
Future power and energy systems with increasing integration of emergent technologies, converter-interfaced distributed generation, and energy storage units as well as responsive loads, require suitable testbed setups to evaluate their performance, reliability, and stability. Power Hardware-in-the-Loop (PHIL) systems have been considered a testbed w...
Article
Full-text available
Ensuring the stability of DC-link voltage in grid-connected photovoltaic (PV) systems plays a critical role in their reliable and continuous operation. DC voltage fluctuation and, in the worst case, DC voltage collapse will dramatically hamper real and reactive power delivery to the grid. This is more the case in single-stage inverters with no DC-D...
Article
Given the unsuitability of the previous strategies in procuring affordable conditions for the proactive distribution company (PDISCO) participation in the power market interactions, this article benefits transactive energy advantages to manipulate an innovative model for addressing this challenge. The proposed model enables the PDISCO to undertake...
Article
Full-text available
Various incentives are introduced for the expansion of electric vehicle fleets and electricity generation from renewable energy resources. Although many researchers studied the effect of these policies on the related sector, there is no study investigating the indirect effect of renewable energy incentives on the deployment of electric vehicles or...
Article
Forecasting electricity load has a significant role in the planning and management of sustainable power systems. In societies, the cumulative effects of social, economic, technical, environmental, and cultural factors on electricity consumption make forecasting electricity load a complex and demanding challenge. This necessitates developing robust...
Article
Full-text available
Recently, with the establishment of new thermal regulation, the energy efficiency of buildings has increased significantly, and various deep learning-based methods have been presented to accurately forecast the heating load demand of buildings. However, all of these methods are executed on a dataset with specific distribution and do not have the pr...
Article
Full-text available
Prediction of building energy consumption plays an important role in energy conservation, management, and planning. Continuously improving and enhancing the performance of forecasting models is the key to ensuring the performance sustainability of energy systems. In this connection, the current paper presented a new improved hybrid model of machine...
Article
Full-text available
Energy has been considered as one of the essential needs of mankind along with air, water, and food and witnessed evolution of civilization since evidence of human life. Managing energy resources is one of the challenging problems being capital intensive. Addressing this involves critical thinking and decision making with all possible aspects, tech...
Article
Full-text available
Combined cycle systems have an important role in power generation. In the present study, three different configurations of combined Brayton and Rankine cycle system are studied from the perspective of energy, exergy, exergoeconomic and environmental perspectives. Results indicate that it depends on the preferences and criteria of each decision make...
Article
Early fault detection in power electronic systems (PESs) to maintain reliability is one of the most important issues that has been significantly addressed in recent years. In this paper, after reviewing various literature based on fault detection in PESs, data mining-based techniques including artificial neural network, machine learning, and deep l...
Article
The use of solar power in some applications is challenging due to sudden changes in irradiance level and the fast occurrence of Partial Shading Condition (PSC). For this reason, maximum power point tracking (MPPT) methods employed in photovoltaic (PV) applications allow for very fast detection and tracking of the maximum power point (MPP) during a...
Chapter
Nowadays, hybrid energy technologies are widely used for power generation in various transportation systems to reduce greenhouse gas emissions and global warming. In maritime transportation, due to the distance from the shore power system, there is a need for a stand-alone hybrid power system to meet the power demand and satisfy the environmental c...
Article
This paper proposes an integrated scheduling model for optimal dispatch of cooling, heating, power, gas and water sources in an energy-water microgrid, where the microgrid operator participates in the power, heat, and gas markets and utilizes energy conversion facilities to meet various demands. Further, the role of water and energy storage systems...
Article
The economic viability of renewable energy is deteriorating due to its curtailment in power systems. Therefore, it is imperative to forecast curtailments for more effective utilization. To alleviate this issue, in this paper, we propose artificial intelligent-based models to accurately predict wind and solar power curtailments (WSPCs), which have n...
Conference Paper
This paper presents a novel mathematical model to simultaneously tackle the economic dispatch (ED) problem considering valve point effect, load uncertainty, distributed generation (DG) uncertainty, incentive-based demand response, and plug-in electric vehicle into the transmission expansion planning (TEP) problem to minimize the total cost of the s...
Conference Paper
Full-text available
The reliability of power distribution networks can be threatened due to the health of repair crews. Covid-19 is a nowadays challenge that affects the health and the availability of repair crews. Monte Carlo simulation is implemented in this paper to evaluate the reliability of power distribution networks considering Covid-19. This paper alerts the...
Conference Paper
The islanding operation of hybrid microgrids (HmGs), which adopt the unified interphase power controller (UIPC) as the major element for interconnecting of AC and DC subsystems, is analyzed in this work. The studied HmG includes two AC subsystems and one energy storage-based DC subsystem (ESDC) and some flexible loads. A model reference adaptive co...
Conference Paper
The distribution of electric vehicle (EV) charging area is affected by customer behavior, which has strong non-uniform characteristics. This will cause some areas to be in a busy state, unable to supply EV charging in time, while the areas with low passenger flow will be in an idle state, which leads to the lower charging efficiency and revenue. In...
Conference Paper
The efficient and resilient energy-water management of a residential/commercial complex with four buildings is studied in this paper. It is assumed that each building is autonomous in terms of energy production. The water demand of these buildings is acquired through a desalination and filtration system, which is connected to a utility grid to draw...
Conference Paper
High-level integration of wind energy in power networks has raised the need for flexible units. Gas-fuel generators (GFG) with fast startup/shutdown and high ramp rate capability can provide the required flexibility in the operation of wind energy. However, the operation of GFGs can be affected by the limitations of the fuel transmission system. De...
Conference Paper
Due to the increase of renewable energy sources (RESs), the uncertainties of power systems are growing significantly which motivates the system operators to consider the security-constrained unit commitment (SCUC) problem to attain financial day-ahead schedules. In the most of current market-clearing models, the system operators obtain the energy a...
Conference Paper
Recently, grid modernization efforts are developed to ease the realization of the transition from conventional energy systems to modern integrated energy grids. In this regard, energy hubs have been emerged as an interconnection point among different energy grids and components to enable the collection, conversion, and storage of multi-carrier ener...
Conference Paper
Nowadays, as energy networks are mixed to form a hybrid structure, resiliency is found as a vital factor for the sustainability of the energy network infrastructure. In this regard, microgrids are recognized as a potential solution in post-disaster energy network recovery efforts. However, exposure to various natural disasters, as well as uncertain...
Conference Paper
The stability of frequency is at risk with increasing penetration of power electronic converters. In this case, the power grid will lack the moment of inertia to maintain a stable voltage and frequency in the event of a large disturbance. In order to improve the stability of the power grid, traditional grid-following control is needed to be transfo...
Conference Paper
This paper proposes a data-driven method based on deep reinforcement learning (DRL) as an intelligent coordinator for automatic voltage regulator (AVR) and power system stabilizer (PSS) in a multi-machine power system. The proposed coordinator is designed to provide accurate online modification of the gains of AVR and PSS which avoids destructive i...
Article
Full-text available
This paper presents a stochastic framework for offering and bidding strategies of a hybrid power generation system (HPGS) with a wind farm and two types of energy storage facilities, i.e., compressed air energy storage (CAES) and battery energy storage (BES) systems. The model considers the participation of the HPGS in consecutive electricity marke...
Article
Full-text available
In recent years, the introduction of practical and useful solutions to solve the non-intrusive load monitoring (NILM) as one of the sub-sectors of energy management has posed many challenges. In this paper, an effective and applicable solution based on deep learning called convolutional neural network (CNN) is employed for this purpose. The propose...
Article
A solar-assisted biomass-based tri-generation system is suggested to provide domestic energy demands and studied from the perspectives of thermodynamics and sustainability. In the proposed combined system, gas and steam turbines are considered as the main power generation systems, while the chiller and an auxiliary heat exchanger exploit the therma...
Article
Nowadays, the enormous rising demand for hydrogen fuel cell vehicles (HFCVs) and electric vehicles (EVs) in the transportation sector has a significant contribution in growing of multi-energy microgrids (MEMGs) accompanied by hydrogen refueling stations (HRSs), EV parking lots (EVPLs) and power-to-hydrogen (P2H2) technologies. The competency to enh...
Article
Reliable planning of electricity networks is a crucial challenge to maintain the continuous power supply. This can be ensured through careful planning which requires a number of parameters as inputs such as electricity demand, generation capacity, fuel price, renewable intermittent generation, among others. The uncertain behaviors of such parameter...