Mohammad Rastegar

Mohammad Rastegar
Shiraz University · School of Electrical and Computer Engineering

PhD

About

73
Publications
13,136
Reads
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1,945
Citations
Additional affiliations
October 2011 - October 2015
Sharif University of Technology
Position
  • PhD Student

Publications

Publications (73)
Article
Accurate short-term forecasting of the individual residential load is a challenging task due to the nonlinear behavior of the residential customer. Moreover, there are a large number of features that have impact on the energy consumption of the residential load. Recently, deep learning algorithms are widely used for short-term load forecasting (STL...
Article
Home energy management (HEM) systems optimize electricity demand of appliances according to the price-based demand response (DR) programs. Undoubtedly, customer satisfaction is of such importance that if not taken into consideration, it prevents customers from participating in the DR. HEM systems suffer from high nonlinearity due to the variety of...
Article
Full-text available
in this paper, we deployed Q-Learning, a practical Reinforcement Learning algorithm to develop a home energy management system for a smart home.
Article
Owing to the impressive development in the electricity distribution network, the managers of the system should be able to handle the costs of the network effectively. The practical implementation of the reliability-centered maintenance is one of the ways to address this concern. In this paper, we initially use the multi-criteria decision-making met...
Article
Asset management is employed in power distribution companies to compensate for financial restrictions. Developmental proposals to be efficient should be made based on priorities, which are usually determined according to the security status of the system. This paper proposes twofold schemes to identify critical power distribution feeders for future...
Article
Electric power distribution systems face outages that prevent them from serving customers. Short-term outages are known as momentary outages, and their causes are not usually recorded in the outage dataset. While, frequent occurrences of momentary outages may lead to a long-term permanent outage, which can significantly reduce system reliability. U...
Article
Full-text available
The increased penetration of intermittent renewable energy sources and random loads has caused many uncertainties in the power system. It is essential to analyze the effect of these uncertain factors on the behavior of the power system. This study presents a new powerful approach called probability-boxes (p-boxes) to consider these uncertainties by...
Article
Full-text available
In this paper, a model-based approach is proposed to disaggregate a feeder-level load and estimate the total energy of plug-in electric vehicles (PEVs) connected to the feeder, considering the controlled charging mode and the vehicle-to-grid capability of PEVs. To reach this end, aggregate demand of load categories, e.g., PEVs' load, participating...
Article
This paper proposes a bulk renewable generation and transmission expansion planning (GTEP) applied to the Iran power system. The objective is to minimize the cost of investors who intend to invest in renewable power plants for electricity exports in high-potential countries. The costs include the generation and transmission investment cost (CAPEX),...
Article
Full-text available
This paper presents a two-step procedure to enable residential Demand Response (DR) programs in the Multi-Carrier Energy Systems (MCES), including a combined heat and power generation, renewable resources, a boiler, and energy storage systems. In the first step, an optimization problem is solved to determine the optimal energy cost for each custome...
Article
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This paper proposes two-stage stochastic models to enable wind power producers (WPPs) and energy storage systems (ESSs) to participate in simultaneous day-ahead energy, spinning reserve, and frequency regulation markets. Unlike previous works, which focused on the WPP benefits, this paper investigates the participation risk and economic profits for...
Article
Full-text available
Recently, power system reliability has been challenged due to the increment of electrical demand. When an outage occurs, locating the outage may take a long time because of the distribution system's radial structure and the presence of various elements. To decrease the outage detection time, this study proposes to classify the equipment‐related out...
Article
This paper focuses on the operation optimization of the integrated energy distribution systems, including electrical, natural gas, and district heating distribution systems. According to the unbalanced nature of the electrical distribution networks, a comprehensive model of the unbalanced electrical distribution network is established. A non-iterat...
Article
Full-text available
This study aims to design a stochastic distributed energy management framework taking into account the information privacy of autonomous agents. To develop this framework, first, the application of a scenario-based method on the predicted probability density function (PDF) is suggested to deal with uncertainties of the low-scale loads, renewable ge...
Article
Power systems are faced with a huge number of uncertainties, which should be addressed in the operational analyses. In this paper, an improved transformation method is used to consider the uncertainties of random variables in probabilistic load flow (PLF) problems. This method transforms non-normal input random variables with non-linear dependence...
Article
With the limited availability of resources and time in the power industry, condition-based maintenance schemes are deemed effective to maintain the system desirable performance at all times. In this context, reliability centered maintenance is the key to strategically manage the assets in power grids enforcing the performance metrics to be the syst...
Article
This paper proposes a multi-objective optimal energy flow problem in the integrated energy distribution systems including electrical, thermal, and natural gas distribution networks. From the mathematical perspective, the electrical network is considered unbalanced and thermal units such as combined heat and power plants and boilers are modeled by t...
Article
In this paper, a data-driven methodology is proposed to estimate the net charging load of behind-the-meter vehicle to grid (V2G)-capable electric vehicles (EVs) using data mining techniques. The net charging load is the aggregated charging load minus the aggregated V2G output of EVs located behind the meter. The proposed methodology is composed of...
Article
This paper presents a new powerful method for probability density function (PDF) estimation of the probabilistic power flow (P-PF) problem results. The proposed method works on a prior density function to improve its potential PDF estimation. The generalized cross-entropy (GCE) method is used to refine the initial dataset. Most of the existing meth...
Article
Full-text available
This study proposes a composite generation and transmission expansion planning (CGTEP) with high renewable penetration in Iran power grid. The goal is to minimise the generation and transmission investment and operation costs, start‐up/shut‐down costs, and the cost of energy not served during a 10‐year planning horizon. The problem is formulated in...
Article
One of the critical challenges in wind energy development is the uncertainty quantification. Prior knowledge about the wind speed in look-ahead times in shape of probabilistic information plays a pivotal role in the optimal operation and planning in the electrical networks. In this paper, we design a deep learning based approach to characterize the...
Article
Full-text available
This paper proposes a new stochastic day-ahead residential charging model for a vehicle to grid (V2G)-capable plug-in electric vehicle (PEV). The aim is to minimize expected customer’s charging cost, including energy cost and battery aging cost, while satisfying the customer service quality constraints. The proposed model integrates a detailed PEV...
Article
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With the increasing penetration of photovoltaic (PV) systems, the problems posed by the inherent intermittency of small-scale PVs are becoming more severe. To address this issue, it is critical to involve the uncertainty of PV generation in the look-ahead periods in a comprehensive framework. To this end, a direct deep learning architecture for pro...
Article
In smart and sustainable power grids, incentive-based demand response programs (DRPs) encourage customers to shift their demand from peak load periods. Broad participation of customers in these programs may lead to a peak rebound and the distribution system congestion in lower load periods, endangering the supply of reliable and sustainable electri...
Article
The aim of this paper is to explore the multi-agent reinforcement learning approach for residential multi-carrier energy management. Defining the multi-agent system not only enhances the possibility of dedicating separate demand response programs for different components but also accelerates the computational calculations. We employ the Q-learning...
Article
This paper proposes a direct model for conditional probability density forecasting of residential loads, based on a deep mixture network. Probabilistic residential load forecasting can provide comprehensive information about future uncertainties in demand. An end-to-end composite model comprising convolution neural networks (CNNs) and gated recurre...
Article
Realizing the factors involved in power system outages improves reliability. This paper analyzes the distribution power network outage data to find dominant factors in occurring vegetation-, animal-, and equipment-related outages. After their integration, real outage, weather, and load as input data are used to extract associated features. In this...
Article
In power distribution systems, sometimes, system reliability indices are available, where some components' reliability parameters are unknown. This letter presents the inverse reliability evaluation (IRE) problem in radial distribution systems to find unknown components' parameters from the known system reliability indices. To this end, a nonlinear...
Article
Full-text available
Energy efficiency analysis has been presented recently to minimize the energy consumption of buildings by designing the optimal structural parameters. Because of uncertain parameters incorporated in the energy analysis of a building, computationally effective methods are needed to model the uncertainties in the analysis. In this paper, a probabilis...
Article
Full-text available
Precise price forecasting can lessen the risk of participation in the deregulated electricity market. On account of a large amount of historical data, deep learning based methods can be a promising solution to achieve an accurate forecast. This study presents a deep neural network algorithm to estimate the probability density function of price, inc...
Article
Full-text available
Participation of distributed energy resources in the load restoration procedure, known as intentional islanding, can significantly improve the distribution system reliability. Distribution system reconfiguration can effectively alter islanding procedure and thus provide an opportunity to supply more demanded energy and reduce distribution system lo...
Article
Structural sizing can be performed to determine the optimal size of the components incorporated in a multi-carrier energy system, modeled as an energy hub. This paper proposes a dynamic structural sizing for residential energy hubs, consisting of combined heat and power (CHP) unit, gas boiler, photovoltaic (PV) system, and electrical and heat stora...
Article
Solar photovoltaic (PV) systems are becoming an indispensable source of energy for residential customers and are contributing to increase the sustainability of energy systems. However, practical methods that can aid customers to make informed decision on installing the PV systems considering their integration with the residential energy system have...
Conference Paper
Full-text available
Permanent magnet synchronous generators (PMSGs) are commonly used in wind power generation because of less maintenance cost and flexible speed control. Dynamic state estimation is beneficial in wide area monitoring and control (WAMAC). Because, it enables the access to non-measurable variables. This paper proposes a nonlinear dynamic state estimati...
Article
Although future widespread use of plug-in electric vehicles (PEVs) will considerably reduce the greenhouse gas emissions, their charging demand will pose significant challenges to the grid. Aggregated charge scheduling of PEVs in parking lots (PLs) can mitigate the challenges, if the size and place of the PLs for PEVs are optimally determined. This...
Article
Residential energy management (REM) systems facilitate the application of residential demand response (DR) programs to manage the increasing demand of electricity in power systems. The load curtailment at high price periods and the load shift from high-price to low-price periods are the main results of REM implementation, which may improve the tech...
Article
Expansion of cogeneration technologies, such as combined heat and power units, has boosted the growth of multicarrier energy systems. A two-step method is presented to enable residential demand response (DR) programmes in the multicarrier energy systems. In the first step, the energy management system at each home solves an optimisation problem to...
Article
This paper analyzes the energy consumption of buildings considering the uncertainty of structural and environmental parameters. To this end, two-point estimate method (2PEM) is used to model the uncertainties. EnergyPlus software is used in this paper to evaluate the energy consumption, the thermal comfort, and the energy cost of a building. We exa...
Conference Paper
Home energy management (HEM) programs simplify the participation of residential customers in price-based demand response (DR) programs. If implemented widely, HEM programs could alter the load shape in distributions systems, and thus, impacting distribution systems reliability. Existing methods for evaluating distribution system reliability are not...
Article
Fast charging station is indispensable for widespread use of plug-in hybrid electric vehicle (PHEV), as it provides a mean to fully charge a PHEV in a short period of time. Application of electrical storage systems (ESSs) in fast charging stations is considered as a way to reduce operational costs of the station and to alleviate negative impacts of...
Article
Residential Energy Management (REM) program is a demand response (DR) tool that automatically manages energy consumption of controllable household appliances to improve the energy consumption profile of a house according to electricity price. REM intends to only improve technical aspects of distribution systems, but also motivate customers for acti...
Article
Full-text available
Going back and taking a quick glance at the history of developed countries prove that prosperity of any society is tightly intertwined with resiliency and sustainability of its preliminary infrastructures. Surely, in modern societies, electricity is among the most important infrastructures whose resiliency and sustainability is a key driving force...
Article
This paper proposes a new framework for home energy management (HEM) in the context of renewable-based residential energy hub using a probabilistic optimization approach. Different energy converters and storages, including combined heat and power, a plug-in hybrid electric vehicle, a heat storage unit, solar panels, and generic household appliances...
Article
This paper presents a residential energy hub model for a smart multi-carrier energy home consisting of plug-in hybrid electric vehicle (PHEV), combined heat and power (CHP), solar panels, and electrical storage system (ESS). The energy hub inputs are electricity and natural gas that provide electrical and heat demands at the output ports. In this p...
Conference Paper
To tackle the air pollution issues, Plug-in Hybrid Electric Vehicles (PHEVs) are proposed as an appropriate solution. Charging a large amount of PHEV batteries, if not controlled, would have negative impacts on the distribution system. The control process of charging of these vehicles can be centralized in parking lots that may provide a chance for...
Conference Paper
This paper proposes a centralized optimization-based home energy management (HEM) scheme in a macro energy hub structure. An energy hub management system manages the aggregated load of a group of residential micro energy hubs to minimize the total load deviation. The operational characteristics of the household appliances and the threshold energy c...
Article
One way of more efficiently utilizing the existing gas and electrical infrastructures is to consider them as one integrated system in planning and operation of energy systems. The energy hub framework is adopted to determine a modeling procedure for such multi carrier energy systems. This paper presents a residential energy hub model for a smart ho...
Chapter
Plug-in electric vehicles (PEVs) are identified as one of the motivating technologies in smart grid era. However, if their highly disruptive impacts on the distribution system are left unaddressed, it may obstruct both smart grid development and PEV adoption. This chapter develops a novel in-home PEV charging control (PCC) algorithm that schedules...
Article
Full-text available
Application of residential demand response (DR) programs are currently realized up to a limited extent due to customers' difficulty in manually responding to the time-differentiated prices. As a solution, this paper proposes an automatic home load management (HLM) framework to achieve the household minimum payment as well as meet the operational co...
Conference Paper
Full-text available
The presence of different energy carriers as well as the advent of new multi-generation technologies such as combined heat and power (CHP) at homes necessitates designing an integrated model for optimal operation of such multi-carrier energy home. A residential energy hub model including a CHP and a Plug-in hybrid electric vehicle (PHEV) is present...
Chapter
Home automation is evolving with the objective of upgrading the living convenience. The load control is, however, conceived as its subsidiary function for economic benefits. In this chapter, the problem of home load controlling (HLC) is widely investigated through deterministic and probabilistic analysis. The behavior of plug-in hybrid electric veh...
Article
As the number of plug-in electric vehicles (PEVs) increases, so might their issues and impacts on the power system performance. Toward eliminating the negative impacts of PEVs on the power system, installation of a charging controller at customers' homes, which addresses such issues and brings convenience for customers, is fundamentally required in...
Article
This paper proposes a novel optimization based home load control (HLC) to manage the operation periods of responsive electrical appliances, determine several recommended operation periods for nonresponsive appliances, and schedule the charge/discharge cycling of plug-in hybrid electric vehicle (PHEV) considering various customer preferences. The cu...
Article
Full-text available
Despite the economic and environmental advantages of plug-in hybrid electric vehicles (PHEVs), the increased utilization of PHEVs brings up new concerns for power distribution system decision makers. Impacts of PHEVs on distribution networks, although have been proven to be noticeable, have not been thoroughly investigated for future years. In this...
Conference Paper
Demand response (DR) as a state-of-the-art program is accommodated in the energy efficiency contexts of the smart grid. Lack of the customer knowledge about how to respond to the time-differentiated tariffs and offered controlling signals is the major obstacle in the way of broad DR implementing. As a solution, an optimization method, namely load c...
Article
A massive focus has recently been made on demand response (DR) programs, aimed to the electricity price reduction, reliability improvement, and energy efficiency. Basically, DR programs are divided into twofold main categories, namely incentive-based programs and price- or time-based programs. The focus of this paper is on priced-based DR programs...
Conference Paper
Full-text available
Plug-in hybrid electric vehicle (PHEV) technology provides one of the most promising solutions to tackle the threatening challenges such as air pollution in urban areas. Dramatic increases in the number of PHEVs could have major impacts on power system operations because of their high electricity demand. From the distribution system operator facet,...
Conference Paper
One of the most important issues in the smart grid is to quantitatively assess the impacts of distributed energy resources (DER) on the distribution system reliability. Solar cells (SCs) as developing DERs are normally placed close to the load centers. In this paper, a new algorithm is developed to evaluate distribution system reliability, consider...