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Extended energy approach to propagation problems in general anisotropic media
, Article Scientia Iranica ; Volume 11, Issue 3 , 2004 , Pages 255-264 ; 10263098 (ISSN) ; Rashidian, B ; Sharif University of Technology
Sharif University of Technology
2004
Abstract
In this article, a new general approach has been presented for exact and efficient extraction of eigenpolarizations in anisotropic electromagnetic media with arbitrary constitutive relations. It is shown that the plane wave propagation eigenpolarizations in a linear homogeneous time-independent anisotropic media without free sources, can be obtained through extremizing the difference between stored electric and magnetic energies as a variational functional. It is demonstrated that at these stationary points the wave equation is satisfied by showing that each of the Maxwell curl equations may be obtained by using the other equation as a constraint. Furthermore, it is proven that the theorem...
Advanced bidding strategy for participation of energy storage systems in joint energy and flexible ramping product market
, Article IET Generation, Transmission and Distribution ; Volume 14, Issue 22 , November , 2020 , Pages 5202-5210 ; Moeini Aghtaie, M ; Fotuhi Firuzabad, M ; Dehghanian, P ; Mazaheri, H ; Sharif University of Technology
Institution of Engineering and Technology
2020
Abstract
Recently, power system operators have initiated procurement of a new service in electricity markets named flexibleramping product (FRP). With the main goal of enhancing the grid flexibility, this product can provide a remarkable opportunity foran enhanced short-term profitability. Energy storage systems (ESSs) with high ramping capability can leverage their profitabilitywhen properly participating in this market. This study introduces a stochastic optimisation framework for participation of ESSs inthe FRP market. The proposed model formulates the optimal bidding strategy of ESSs considering the real-time energy, flexibleramp-up and ramp-down marginal price signals and the associated...
A home energy management model considering energy storage and smart flexible appliances: A modified time-driven prospect theory approach
, Article Journal of Energy Storage ; Volume 48 , 2022 ; 2352152X (ISSN) ; Rashidinejad, M ; Fatemi Ardestani, S. F ; Abdollahi, A ; Salehizadeh, M. R ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Smart home is a small but an important energy segment that has a significant potential to implement authentic energy policies, where human is a major decision-maker in the home energy management dilemma. Therefore, humans’ emotions and tendencies plays a vital role as the End-User's daily decisions. In this paper, we develop a behavioral home energy management model based on time-driven prospect theory incorporating energy storage devices, distributed energy resources, and smart flexible home appliances. The conventional prospect theory is then modified by considering the psychological time discount effect in the value function. The non-flexible load and photovoltaic generation uncertainties...
Developing an Optimal Strategy to Manage the Curtailment of Wind Farms Output
, M.Sc. Thesis Sharif University of Technology ; AbbaspourTehrani Fard, Ali (Supervisor) ; Fotuhi-Firuzabad, Mahmud (Co-Advisor)
Abstract
In recent years, due to environmental concerns together with rising costs of the fossil fuels, the wind energy usage in electricity generation of various countries has experienced a growing trend. Owing to inherent characteristics of wind turbines power generation, i.e. uncertainty in their output level as well as being undispatchable, the rapid growth of installed wind farms, however, has caused some new challenges in operation and planning studies of power systems. Among the major challenges in operation of high wind penetrated power systems, wind power curtailment has been emerged as a new problem in wind development. System operator may curtail wind farms output in order to meet system...
Planning and Operation of Energy Storage System for Participation of Renewable Energy Resources in Electric Grid Frequency Control
, M.Sc. Thesis Sharif University of Technology ; Parniani, Mostafa (Supervisor)
Abstract
Sustainable energy supply and preservation of the environment have become the main motivations to integrate more renewable energy sources in electrical networks. However, with an increasing penetration of renewable energy sources in the modern electrical grids, new challenging issues arise regarding the power system planning, operation, control and protection. An important technical issue is the difficulty in achieving the frequency stability of these systems, as the renewables are often operated at the maximum power point, resulting in less generation units that provide reserve power. Moreover, the rotational inertia of the system is reduced due to the decoupling of the renewable energy...
Comparative hourly scheduling of centralized and distributed storage in day-ahead markets
, Article IEEE Transactions on Sustainable Energy ; Vol. 5, issue. 3 , 2014 , p. 729-737 ; ISSN: 19493029 ; Fotuhi-Firuzabad, M ; Shahidehpour, M ; Sharif University of Technology
Abstract
Electric energy storage (EES) installations in power systems are migrating from large centralized systems to more distributed installations for microgrid applications. This trend signifies modular EES installations for the local control of buildings and processes. A centralized EES system is often dispatched by grid operators for increasing the overall efficiency and enhancing the security of power systems. The distributed EES (DEES) is locally managed by aggregators to maximize the local impact of EES, before the aggregators' adjusted load profiles are submitted to grid operators for the day-ahead scheduling. In this paper, we present and analyze two models for the hourly scheduling of...
Multi-objective optimization for design and operation of distributed energy systems through the multi-energy hub network approach
, Article Industrial and Engineering Chemistry Research ; Volume 55, Issue 33 , 2016 , Pages 8950-8966 ; 08885885 (ISSN) ; Sattari, S ; Roshandel, R ; Fowler, M ; Elkamel, A ; Sharif University of Technology
American Chemical Society
2016
Abstract
A generic framework is developed to study the application of energy hubs and its related network model to demonstrate the optimal design and operation of distributed energy systems (DESs) in urban areas. A novel multi-objective approach based on augmented epsilon constraint technique is employed to carry out this work. As an illustrative example, the proposed model is applied to an urban area in Ontario, Canada. Different scenarios are defined to investigate the effect of energy storage systems and energy exchange within a network on the optimal configuration and operation of the system. Moreover, multi-objective optimization is carried out based on two conflicting objectives, namely, total...
Flexibility scheduling for large customers
, Article IEEE Transactions on Smart Grid ; Volume 10, Issue 1 , 2019 , Pages 371-379 ; 19493053 (ISSN) ; Parvania, M ; Fotuhi Firuzabad, M ; Rajabi Ghahnavieh, A ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
Large customers are considered as major flexible electricity demands which can reduce their electricity costs by choosing appropriate strategies to participate in demand response programs. However, practical methods to aid the large customers for handling the complex decision making process for participating in the programs have remained scarce. This paper proposes a novel decision-making tool for enabling large customers to determine how they adjust their electricity usage from normal consumption patterns in expectation of gaining profit in response to changes in prices and incentive payments offered by the system operators. The proposed model, formulated as a mixed-integer linear...
Flexibility scheduling for large customers
, Article IEEE Transactions on Smart Grid ; Volume 10, Issue 1 , 2019 , Pages 371-379 ; 19493053 (ISSN) ; Parvania, M ; Fotuhi Firuzabad, M ; Rajabi Ghahnavieh, A ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
Large customers are considered as major flexible electricity demands which can reduce their electricity costs by choosing appropriate strategies to participate in demand response programs. However, practical methods to aid the large customers for handling the complex decision making process for participating in the programs have remained scarce. This paper proposes a novel decision-making tool for enabling large customers to determine how they adjust their electricity usage from normal consumption patterns in expectation of gaining profit in response to changes in prices and incentive payments offered by the system operators. The proposed model, formulated as a mixed-integer linear...
Hybrid uncertainty-based offering strategy for virtual power plants
, Article IET Renewable Power Generation ; Volume 14, Issue 13 , 2020 , Pages 2359-2366 ; Ehsan, M ; Pozo, D ; Farrokhifar, M ; Sharif University of Technology
Institution of Engineering and Technology
2020
Abstract
This study proposes an optimal day-ahead (DA) electricity market offering model for a virtual power plant (VPP) formed by a mix of renewable distributed energy resources along with energy storage, such as electric vehicles. Two sources of uncertainty are considered, namely, wind power generation, modelled by an uncertainty set, and DA market price, modelled by scenarios. Opposite to classical robust optimisation approaches, the authors model maps minimal (worst-case) profits to a conservativeness parameter, while the classical robust optimisation maps conservativeness parameter to worst-case profits. In this regard, by using their optimisation framework, a VPP operator only deals with...
Optimal investment and operation of a microgrid to provide electricity and heat
, Article IET Renewable Power Generation ; Volume 15, Issue 12 , 2021 , Pages 2586-2595 ; 17521416 (ISSN) ; Jafari, H ; Mohseni, M ; Al Sumaiti, A. S ; Heydarian Forushani, E ; Kumar, R ; Sharif University of Technology
John Wiley and Sons Inc
2021
Abstract
This paper proposes a robust investment and operation model to attend the power and heat needs of a microgrid (MG) connected to the distribution system. The optimization algorithm decides on the best investment and operation of combined heat and power (CHP), boilers, PV power generation and battery energy storage systems (BESS). For the BESS, the algorithm estimates the optimal energy storage capacity (MWh) as well as the maximum hourly delivery capacity (MW). The non-linear and non-concave heat rate chart is recast by a mix-integer linear model to have a tractable and precise model. The model considers the uncertain in some parameters using probability density function (pdf) to portrait its...
Network-constrained optimal scheduling of multi-carrier residential energy systems: a chance-constrained approach
, Article IEEE Access ; Volume 9 , 2021 , Pages 86369-86381 ; 21693536 (ISSN) ; Ranjbar, H ; Shafie Khah, M ; Ehsan, M ; Catalão, J. P. S ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2021
Abstract
This paper presents a day-ahead scheduling approach for a multi-carrier residential energy system (MRES) including distributed energy resources (DERs). The main objective of the proposed scheduling approach is the minimization of the total costs of an MRES consisting of both electricity and gas energy carriers. The proposed model considers both electrical and natural gas distribution networks, DER technologies including renewable energy resources, energy storage systems (ESSs), and combined heat and power. The uncertainties pertinent to the demand and generated power of renewable resources are modeled using the chance-constrained approach. The proposed model is applied on the IEEE 33-bus...
Centralized optimal management of a smart distribution system considering the importance of load reduction based on prioritizing smart home appliances
, Article IET Generation, Transmission and Distribution ; Volume 16, Issue 19 , 2022 , Pages 3874-3893 ; 17518687 (ISSN) ; Haghifam, M. R ; Safdarian, A ; Sharif University of Technology
John Wiley and Sons Inc
2022
Abstract
The distribution system's economic operation is significantly impacted by the management of distributed generation (DG) resources, energy storage (ES), and controllable loads. The paper employs a smart distribution system that incorporates dispatchable and non-dispatchable DG resources, as well as battery storage, in addition to the demand response (DR) scheme. New modelling was performed in hourly steps to achieve the optimal unit commitment. In smart homes, appliances are prioritized and classified into four types: adjustable, interruptible, shiftable, and uncontrollable loads. Load reduction in smart homes is also considered based on load prioritization and customer participation in the...
Energy Storage Planning from the Viewpoint of the Electricity Retailer in the Presence of Demand Response Programs
, M.Sc. Thesis Sharif University of Technology ; Ehsan, Mehdi (Supervisor)
Abstract
Electricity has been known as one of the humans’ essential needs. The emergence of a competitive environment in most aspects of humans life and its considerable impact on the economic system in recent years has promoted this idea that the electricity should be traded as a commodity. In this business, the competition has been based on the convenient access for subscribers, and the exclusive electricity environment has became a competitive environment. Therefore, new roles have emerged. These roles take place in the direction of generation, transmission and distribution of electrical energy with the aim of improving them. Retailer is one of the emerged roles for restructuring in the field of...
Performance of a standalone wind-hydrogen power system for regions with seasonal wind profile: A case study in Khaf region
, Article Sustainable Energy Technologies and Assessments ; Vol. 7 , September , 2014 , pp. 265-278 ; ISSN: 22131388 ; Rezaei Mirghaed, M ; Roshandel, R ; Sharif University of Technology
Abstract
The present study was aimed at performance and energy analysis of a hybrid wind-hydrogen power system. Such system consists of wind turbines, batteries for the short time energy storage, electrolyzer, fuel cell and hydrogen tank for long time energy storage. The proposed configuration is used to supply energy demand of a region with discrete seasonal wind speed regime. Temporary wind energy profiles restrict using batteries for electricity storage as they lose much electrical stored energy for the long time. Based on direct wind turbine usage, batteries and hydrogen storage, different energy supply strategies are introduced and analyzed to power the household electricity demand. The energy...
Optimal sizing of distributed energy storage with consideration of demand response in distribution systems
, Article 24th Iranian Conference on Electrical Engineering, 10 May 2016 through 12 May 2016 ; 2016 , Pages 1181-1186 ; 9781467387897 (ISBN) ; Karimi Gharigh, M. R ; Safdarian, A ; Nokhbeh Zaeem, J ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
Abstract
In future smart grids, energy storage systems (EESs) and demand response (DR) are expected to have an important role in balancing load changes arising from life-style of consumers and varying output of some renewable energy resources. However, activating DR and installing ESSs need huge investment forcing system owner to justify their effectiveness prior to any implementation. This paper presents a model to find the optimal capacity of EESs in distribution systems with demand responding to electricity price changes. The model aims at maximizing system owner profit by lessening total electricity provision costs. The model is formulated as a mixed integer non-linear programming problem. Due to...
Mixed integer linear programing based approach for optimal planning and operation of a smart urban energy network to support the hydrogen economy
, Article International Journal of Hydrogen Energy ; Volume 41, Issue 19 , 2016 , Pages 7700-7716 ; 03603199 (ISSN) ; Fowler, M ; Sattari Khavas, S ; Elkamel, A ; Roshandel, R ; Hajimiragha, A ; Sharif University of Technology
Elsevier Ltd
2016
Abstract
The future of urban energy systems relies on the transition to "smart energy networks" which incorporate energy storage with renewable energy sources such as wind and solar. Hydrogen provides a desirable energy vector for both energy storage and exchange of energy between energy hubs within a smart energy network. This paper aims to develop a generic mathematical model for the optimal energy management of future communities where hydrogen is used as an energy vector. An energy hub is a novel concept that systematically and holistically considers the energy requirements of both mobility and stationary loads. In order to perform optimization studies, the minimization of capital cost of...
Flexibility scheduling for large customers
, Article IEEE Transactions on Smart Grid ; 2017 ; 19493053 (ISSN) ; Parvania, M ; Fotuhi Firuzabad, M ; Rajabi Ghahnavieh, A ; Sharif University of Technology
Abstract
Large customers are considered as major flexible electricity demands which can reduce their electricity costs by choosing appropriate strategies to participate in demand response programs. However, practical methods to aid the large customers for handling the complex decision making process for participating in the programs have remained scarce. This paper proposes a novel decision-making tool for enabling large customers to determine how they adjust their electricity usage from normal consumption patterns in expectation of gaining profit in response to changes in prices and incentive payments offered by the system operators. The proposed model, formulated as a mixed-integer linear...
Investigating the impacts of energy storage systems on transmission expansion planning
, Article 2017 25th Iranian Conference on Electrical Engineering, ICEE 2017, 2 May 2017 through 4 May 2017 ; 2017 , Pages 1199-1203 ; 9781509059638 (ISBN) ; Abbaspour, A ; Fotuhi Firuzabad, M ; Farzin, H ; Moeini Aghtaie, M ; Sharif University of Technology
Abstract
Increased electricity demand coupled with investment in renewable-based generating units has resulted in problems such as transmission congestion and load shedding in modern power systems. In this situation, transmission expansion planning (TEP) studies plays a key role in dealing with the aforementioned problems. On the other hand, deployment of energy storage systems (ESSs) has been regarded as a viable solution for effective exploitation of renewable resources. In this context, this paper develops a novel framework to investigate the impacts of storage facilitates on the transmission expansion planning problem. The presented framework is decomposed to investment and operation subproblems...
Optimal sizing of distributed energy storage in distribution systems
, Article 2015 Smart Grid Conference, SGC 2015, 23 December 2015 through 24 December 2015 ; 2017 , Pages 60-65 ; 9781509003693 (ISBN) ; Seydali Seyf Abad, M ; Nokhbehzaeem, J ; Safdarian, A ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2017
Abstract
In future smart grids, energy storage systems (EESs) are expected to play an indispensable role in balancing continuous load changes arising from customers' life-style as well as varying output of intermittent energy resources. This, however, needs significant investment that should be justified prior to their implementation. This paper presents a model to find the optimal capacity for ESSs in distribution systems. The model aims at maximizing system owner profit by reducing total electricity procurement costs. The model is formulated as a mixed integer non-linear programming problem. Due to the complexity and large size of the problem, a decouplebased method is proposed wherein optimal...