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Decentralised hybrid robust/stochastic expansion planning in coordinated transmission and active distribution networks for hosting large-scale wind energy
, Article IET Generation, Transmission and Distribution ; Volume 14, Issue 5 , 2020 , Pages 797-807 ; Aghaei, J ; Massrur, H. R ; Hemmati, R ; Sharif University of Technology
Institution of Engineering and Technology
2020
Abstract
Today, coordinated expansion planning is one of the key challenges for electricity systems including active distribution networks (ADNs) and transmission networks (TNs) hosting distributed renewable generation as well as large-scale wind energy generation. Accordingly, this study presents a decentralised hybrid robust and stochastic (HR&S) expansion planning optimisation method to determine a robust generation and transmission planning for a TN and stochastic expansion planning for ADNs. The proposed HR&S planning model is formulated with the objective of achieving an effective expansion of both TN&ADN while minimises the investment and operation costs of TN&ADN planning considering wind...
Optimal distributed generation allocation in distribution network using Hereford Ranch algorithm
, Article ICEMS 2005: 8th International Conference on Electrical Machines and Systems, Nanjing, 27 September 2005 through 29 September 2005 ; Volume 2 , 2005 , Pages 916-918 ; 7506274078 (ISBN); 9787506274074 (ISBN) ; Vakilian, M ; Ehsan, M ; Sharif University of Technology
IEEE Computer Society
2005
Abstract
The necessity for flexible electric systems, energy saving, loss reducing and environmental impact are providing Impetus to the development of Distributed Generation (DG). DG Includes the application of small generators, scattered throughout a power system, to provide the electric power needed by electrical customer. Such locally distributed generation, has several merits from the viewpoint of environmental restriction and location limitations, as well as transient and voltage stability In the power system. The exact solution of the DG allocation can be obtained by a complete enumeration of all feasible combinations of sites and sizes of DGs In the network. The number of alternatives could...
Fault-tolerant DC power distribution unit based on nonexclusive redundant modules
, Article IEEE Transactions on Industrial Electronics ; Volume 63, Issue 11 , 2016 , Pages 6801-6811 ; 02780046 (ISSN) ; Parvari, R ; Kaboli, S ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
Abstract
Reliability of the power distribution unit (PDU) is very important in electrical systems. Since any failure in this unit leads to system failure. A commonly used method for increasing the reliability of a dc PDU is using the redundant modules. If a fault occurs in a voltage regulator of PDU, it is replaced by its redundant module. In conventional redundancy, each dc voltage regulator has its exclusive redundant modules. Therefore, if both a regulator and its redundant modules fail, the system is stopped. It is an important drawback since the exclusive redundant modules of other voltage regulators may not be used, but, the PDU cannot use them instead of faulty regulators. In this paper, the...
A reliable and fast response buck converter based on interleaved converter
, Article 27th Iranian Conference on Electrical Engineering, ICEE 2019, 30 April 2019 through 2 May 2019 ; 2019 , Pages 804-807 ; 9781728115085 (ISBN) ; Kaboli, S ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
Power Distribution Unit (PDU) is a power supply unit that supplies various DC voltage levels for electric equipment. Reliability of PDU is very important in electrical systems. Buck converter is frequently used in PDU to provide the lower voltage levels than the source voltage level. The output capacitor of the buck converter is the main factor of failure. In this paper, we present a method to design a buck converter with almost no inductor current ripple. If the inductor current ripple is eliminated, the output capacitor can be removed from the converter. By removing the capacitor, the reliability and transient response of the converter can be improved considerably. The proposed method is...
Optimal electricity supply system under iranian framework limitations to meet its emission pledge under the Paris climate agreement
, Article International Journal of Sustainable Energy Planning and Management ; Volume 30 , 2021 , Pages 75-96 ; 22462929 (ISSN) ; Maleki, A ; Sharif University of Technology
Aalborg University press
2021
Abstract
As part of its Paris Agreement commitment, Iran pledged to decrease 4 % of its carbon dioxide (CO2) emissions from 2020 to 2030. About 29% of total emission in Iran belongs to electricity supply while energy consumption in other sectors (transport, household, and industry) have a lower share in CO2 emission. The main concern here is finding the optimal mix of power plants in the electricity supply system that should be deployed to meet Iran’s mentioned respective targets and considering simultaneously interests of consumers and producers in this energy system. So, we developed a non-linear mathematical programming model for Iran’s electricity system to address this concern with changing...
Chaos Control Using Markov Models based on Takens Embedding Theory
, M.Sc. Thesis Sharif University of Technology ; Salarieh, Hassan (Supervisor)
Abstract
Chaos theory examines complex systems whose output results in large changes by applying small changes to the initial conditions. In other words, some seemingly accidental phenomena for which we have not yet found a reason can be justified with the help of chaos theory. The strong dependence of the response to the initial conditions is one of the most important features of turbulent systems, but their quasi-random behavior will be independent of these conditions after some time. Chaotic systems, as an important branch of nonlinear dynamic systems, behave close to stochastic systems. Perhaps the most important similarity between the two systems is the existence of invariant probability density...
Security-constrained unit commitment with integration of battery storage in wind power plant
, Article 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017, 23 April 2017 through 26 April 2017 ; 2017 ; 9781538628904 (ISBN) ; Hajibandeh, N ; Ehsan, M ; Soleymani, S ; Sharif University of Technology
Abstract
There is a global tendency towards using Distributed Generation (DG) and renewable energy resources. Considering low utilization cost and low undesirable environmental effects, wind farms have become a considerable resource for producing electrical energy in many countries. Since Wind farms are not programmable and their power output which depends on weather and wind speed is uncertain, they create problems for utilizing electricity system. There are different methods for preserving system stability against the uncertainty of wind power plants. Optimal utilization of pumped storage and gas resources is one of the approaches for reducing production risk of wind farms. In this paper, it is...
Electricity generation scheduling with large-scale wind farms using particle swarm optimization
, Article Electric Power Systems Research ; Volume 79, Issue 5 , 2009 , Pages 826-836 ; 03787796 (ISSN) ; Vakilian, M ; Sharif University of Technology
2009
Abstract
Large-scale integration of wind power in the electricity system presents some planning and operational difficulties, which are mainly due to the intermittent and difficult nature of wind prediction process. Therefore it is considered as an unreliable energy source. This paper presents a new approach for solving the generation scheduling (GS) problem. It will consider the reserve requirement, load balance and wind power availability constraints. The particle swarm optimization (PSO) method is suggested to deal with the equality and inequality constraints in the GS problem. The proposed PSO is applied to a 12-unit test system (including 10 conventional thermal generating units and 2 wind...
Policy framework of non-fossil power plants in Iran’s electricity sector by 2030
, Article International Journal of Sustainable Energy Planning and Management ; Volume 29 , 2020 , Pages 91-108 ; Maleki, A ; Sharif University of Technology
Aalborg University press
2020
Abstract
The Iranian government has set a target of a 20% share of non-fossil fuel electricity generation by 2030, whose main result is reducing Green House Gas (GHG) emissions (about 182 million tonnes in 2017) to achieve the targets pledged under the Paris Climate Accord. So, this paper presents a comprehensive model on the expansion of non-fossil technology to evaluate the impact of increasing their share in Iran’s electricity supply system. This analytical approach is based on system dynamics (SD) that was developed based on dynamic behavior of electricity market, with an emphasis on the expansion of non-fossil fuels (solar photovoltaics, wind turbines, expansion turbines, and hydro power) in the...
A simulink study of electric arc furnace power quality improvement by using statcom
, Article 2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008, Chengdu, 21 April 2008 through 24 April 2008 ; 2008 ; 9781424417063 (ISBN) ; Ehsan, M ; Batahiee, S. M. T ; Marzband, M ; Sharif University of Technology
2008
Abstract
The nonlinear and time varying nature of electric arc furnaces (EAFs) create flicker, harmonics, and voltage/current unbalances. Nowadays to improve the performance of EAFs and the power quality problems of electrical systems around them high speed compensators like STATCOM are needed. This paper uses a time domain model for electric arc furnaces and a new model of STATCOM respectively for creating and improving mentioned power quality problems. In this paper, first we investigate and simulate electric arc furnace and STATCOM using SIMULINK/PSB. Second, we simulate a network including them completely. The proposed models take into account arcing conditions and associated effects improvement...
HELIOS: High-speed sequence alignment in optics
, Article PLoS Computational Biology ; Volume 18, Issue 11 , 2022 ; 1553734X (ISSN) ; Akbari Rokn Abadi, S ; Koohi, S ; Sharif University of Technology
Public Library of Science
2022
Abstract
In response to the imperfections of current sequence alignment methods, originated from the inherent serialism within their corresponding electrical systems, a few optical approaches for biological data comparison have been proposed recently. However, due to their low performance, raised from their inefficient coding scheme, this paper presents a novel all-optical high-throughput method for aligning DNA, RNA, and protein sequences, named HELIOS. The HELIOS method employs highly sophisticated operations to locate character matches, single or multiple mutations, and single or multiple indels within various biological sequences. On the other hand, the HELIOS optical architecture exploits...
Heat and electricity supply chain expansion planning under the umbrella of energy hub: A case study of Iran
, Article Scientia Iranica ; Volume 29, Issue 4 D , 2022 , Pages 1983-2006 ; 10263098 (ISSN) ; Rashidinejad, M ; Moeini Aghtaie, M ; Abdollahi, A ; Sharif University of Technology
Sharif University of Technology
2022
Abstract
Reinforcing the correlation between Gas and Electricity Systems (G&ESs) susceptible to diverse factors ranging from anthropogenic climate change to the advent of new conversion/generation technologies has remarkably brought into focus the co-expansion of G&ESs using a new concept so-called Energy Hub (EH) as well as the potential of storage systems. To assess the effectiveness of EH approach and the role of storages in the coordinated plans of G&ES, this study proposes a comprehensive EH-based planning model for co-expansion of G&ES supply chains with respect to the role of Gas Storage Systems (GSSs). As a Mixed-Integer Linear Programming (MILP) problem, the model is applied to a real...