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Harnessing power system flexibility under multiple uncertainties
, Article IET Generation, Transmission and Distribution ; Volume 16, Issue 14 , 2022 , Pages 2878-2890 ; 17518687 (ISSN) ; Saber, H ; Fattaheian Dehkordi, S ; Moeini Aghtaie, M ; Fotuhi Firuzabad, M ; Lehtonen, M ; Sharif University of Technology
John Wiley and Sons Inc
2022
Abstract
Increasing the intermittent outputs of renewable energy sources (RESs) has forced planners to define a new concept named flexibility. In this regard, some short- and long-term solutions, such as transmission expansion planning (TEP) and energy storage systems (ESSs) have been suggested to improve the flexibility amount. A proper optimization procedure is required to choose an optimal solution to improve flexibility. Therefore, a mixed-integer linear programming (MILP) direct-optimization TEP versus ESSs co-planning model is presented in this paper to enhance power system flexibility. In doing so, a novel RES-BESS-based grid-scale system flexibility metric is proposed to investigate the...
Locating wind farm for power and hydrogen production based on Geographic information system and multi-criteria decision making method: An application
, Article International Journal of Hydrogen Energy ; Volume 47, Issue 58 , 2022 , Pages 24569-24583 ; 03603199 (ISSN) ; Hosseini Dehshiri, S. J ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Hydrogen generation from renewable energy resources is considered as a suitable solution to solve the problems related to the energy sector and the reduction of greenhouse gases. The aim of this study is to provide an integrated framework for identifying suitable areas for the construction of wind farms to produce hydrogen. For this purpose, a combined method of Geographic Information System (GIS) and multi-criteria decision making (MCDM) has been used to locate the power plant in Yazd province. The GIS method in the present study consisted of two parts: constraints and criteria. The constraint section included areas that were unsuitable for the construction of wind farms to produce power...
An economic investigation of the wind-hydrogen projects: A case study
, Article International Journal of Hydrogen Energy ; Volume 47, Issue 62 , 2022 , Pages 25880-25898 ; 03603199 (ISSN) ; Hosseini Dehshiri, S. S ; Hosseini Dehshiri, S. J ; Mostafaeipour, A ; Techato, K ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Hydrogen as an energy carrier can play a significant role in reducing environmental emissions if it is produced from renewable energy resources. This research aims to assess hydrogen production from wind energy considering environmental, economic, and technical aspect for the East Azerbaijan province of Iran. The economic assessment is performed by calculation of payback period, levelized cost of hydrogen, and levelized cost of electricity. Since uncertainty in the power output of wind turbines may affect the payback period, all calculations are performed for four different turbine degradation rates. While it is common in the literature to choose the wind turbine based on a single criterion,...
Battery energy storage systems and demand response applied to power system frequency control
, Article International Journal of Electrical Power and Energy Systems ; Volume 136 , 2022 ; 01420615 (ISSN) ; Toulabi, M ; Ashouri Zadeh, A ; Ranjbar, A. M ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
In this paper, several new control strategies for employing the battery energy storage systems (BESSs) and demand response (DR) in the load frequency control (LFC) task are proposed. In this way, first, the unit commitment problem considering the BESSs’ constraints in presence of wind farms and responsive loads is solved and the best location and the optimal size of the BESSs as well as the regulation power of the responsive loads are obtained. A rule-based plan is then suggested to improve the frequency regulation considering participation of wind farms. This plan is takes into account different states associated with power system frequency response as well as BESSs’ state of charge (SOC)....
Low-speed wind energy harvesting from a vibrating cylinder and an obstacle cylinder by flow-induced vibration effect
, Article International Journal of Environmental Science and Technology ; Volume 19, Issue 3 , 2022 , Pages 1261-1272 ; 17351472 (ISSN) ; Shariatzadeh, M. J ; Bijarchi, M. A ; Pournasiri Masouleh, E ; Shafii, M. B ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2022
Abstract
An experimental setup has been developed to analyse the impact of cylinder transverse vibration caused by flow-induced vibration, and to improve wind energy harvesting from these vibrations. The setup consists of a cylinder mounted on four springs and is subjected to a uniform and steady flow of wind. In the first part, the effect of mounting a fixed cylinder as an obstacle with different diameters and distances from the downstream vibrating cylinder is investigated. It has been observed that the vibration amplitude on the wake of an unequal-sized obstacle is greatly amplified compared to the case of a single cylinder or an equal-sized cylinder. Numerical simulations has been conducted to...
An approach to divide wind power capacity between day-ahead energy and intraday reserve power markets
, Article IEEE Systems Journal ; Volume 16, Issue 1 , 2022 , Pages 1123-1134 ; 19328184 (ISSN) ; Fattaheian Dehkordi, S ; Pourakbari Kasmaei, M ; Liski, M ; Lehtonen, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2022
Abstract
Wind power producers have recently gained a significant penetration in the electric power network, which might cause some challenges for the system operation due to the uncertainties in the generated power. In this way, wind power owners may offer different services, such as providing reserve capacity besides their conventional role of delivering just energy. Currently, conventional generators are the main responsible for providing some reserve in case of uncertainty in renewable generation and demand changes. Therefore, this article introduces a novel approach that allows wind power producers to participate in both energy and reserve markets alongside conventional generators. A two-stage...
Project buffer sizing and dynamic buffer consumption algorithm in power generation construction
, Article Engineering, Construction and Architectural Management ; Volume 29, Issue 2 , 2022 , Pages 716-738 ; 09699988 (ISSN) ; Khalilzadeh, M ; Amiri, M ; Shadrokh, S ; Sharif University of Technology
Emerald Group Holdings Ltd
2022
Abstract
Purpose: The aim of this research is to propose a buffer sizing and buffer controlling algorithm (BSCA) as a heuristic algorithm for calculating project buffer and feeding buffers as well as dynamic controlling of buffer consumption in different phases of a wind power plant project in order to achieve a more realistic project duration. Design/methodology/approach: The BSCA algorithm has two main phases of planning and buffer sizing and construction and buffer consumption. Project buffer and feeding buffers are determined in the planning and buffer sizing phase, and their consumption is controlled in the construction and buffer consumption phase. The heuristic algorithm was coded and run in...
Wind power in Iran: technical, policy, and financial aspects for better energy resource management
, Article Energies ; Volume 15, Issue 9 , 2022 ; 19961073 (ISSN) ; Mohseni Cheraghlou, A ; Sharif University of Technology
MDPI
2022
Abstract
Iran is situated in a wind belt. However, the installed wind capacity in Iran is around 300 MW, which is minuscule compared with the global 651 GW capacity as of 2021. Using novel data from wind trackers across Iran, the paper’s findings show immense potential for wind energy in Iran from a technical perspective. While attractive policies are already in place to incentivize wind energy development in Iran, the feed-in tariff (FiT) for wind energy has dropped to around 3 cents per kWh because of the sharp depreciation of the Iranian rial between 2018 and 2020. This paper shows that there is no economic justification for the development of wind farms in Iran at such low FiTs. A minimum FiT of...
Uncertainty cost of stochastic producers: metrics and impacts on power grid flexibility
, Article IEEE Transactions on Engineering Management ; Volume 69, Issue 3 , 2022 , Pages 708-719 ; 00189391 (ISSN) ; Hosseini, S. H ; Dehghanian, P ; Shittu, E ; Fotuhi Firuzabad, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2022
Abstract
The widespread presence of contingent generation, when coupled with the resulting volatility of the chronological net-load (i.e., the difference between stochastic generation and uncertain load) in today's modern electricity markets, engender the significant operational risks of an uncertain sufficiency of flexible energy capacity. In this article, we address several operational flexibility concerns that originate from the increase in generation variability captured within a security-constrained unit commitment (SCUC) formulation in smart grids. To quantitatively assess the power grid operational flexibility capacity, we first introduce two reference operation strategies based on a two-stage...
Multi model robust control design for a floating offshore variable speed wind turbine with tension leg platform
, Article Ocean Engineering ; Volume 266 , 2022 ; 00298018 (ISSN) ; Sadati, N ; Member, IEEE ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
This paper presents a multi-model robust control (MMRC) design for an offshore variable speed wind turbine with tension leg platform. The proposed control scheme covers the model uncertainty in the above rated wind speed, and it provides a reliable control for power regulation while minimizing the mechanical loads on the wind turbine structure. For this purpose, the above rated wind speed region is divided into several wind speed groups, and a set of linearized models are obtained from the Fatigue, Aerodynamics, Structures, and Turbulence (FAST) simulator for various mean wind speeds of each group. Using Weibull wind speed distribution, a nominal model with additive uncertainty is generated...
Micro-plasma actuator mechanisms in interaction with fluid flow for wind energy applications: operational parameters
, Article Engineering with Computers ; 2022 ; 01770667 (ISSN) ; Mazaheri, K ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2022
Abstract
Plasma actuator is a flow control device which may be used to improve the performance of wind turbine blades at low airspeeds. One of the most robust numerical models to simulate the interaction of the plasma actuator with the fluid flow is the electrostatic model. This model is improved by the authors. Due to the high cost of performing experimental optimization, the optimization of plasma actuators may be investigated by this numerical model. To optimize the aerodynamic performance of a Delft University (DU) wind turbine airfoil in a full stall condition, we used the operational parameters (voltage, frequency and the waveform) applied to the plasma actuator as the main design variables. We...
A high-accuracy hybrid method for short-term wind power forecasting
, Article Energy ; Volume 238 , 2022 ; 03605442 (ISSN) ; Ehsan, M ; Soleymani, S ; Mohammadnezhad Shourkaei, H ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
In this article, a high-accuracy hybrid approach for short-term wind power forecasting is proposed using historical data of wind farm and Numerical Weather Prediction (NWP) data. The power forecasting is carried out in three stages: wind direction forecasting, wind speed forecasting, and wind power forecasting. In all three phases, the same hybrid method is used, and the only difference is in the input data set. The main steps of the proposed method are constituted of outlier detection, decomposition of time series using wavelet transform, effective feature selection and prediction of each time series decomposed using Multilayer Perceptron (MLP) neural network. The combination of automatic...
Probabilistic analysis to analyze uncertainty incorporating copula theory
, Article Journal of Electrical Engineering and Technology ; Volume 17, Issue 1 , 2022 , Pages 61-71 ; 19750102 (ISSN) ; Shahzad, M ; Munir, H. M ; Nawaz, A ; Fahal, N. A. M ; Khan, M. Y. A ; Ahmed, S ; Sharif University of Technology
Korean Institute of Electrical Engineers
2022
Abstract
The emerging trend of distribution generation with existing power system network leads uncertainty factor. To handle this uncertainty, it is a provocation for the power system control, planning, and operation engineers. Although there are numerous techniques to model and evaluate these uncertainties, but in this paper the integration of Copula theory with Improved Latin-hypercube Sampling (ILHS) are incorporated for Probabilistic load Flow (PLF) evaluation. In probabilistic research approaches, the dominant interest is to achieve appropriate modelling of input random variables and reduce the computational burden. To address the said problem, Copula theory is applied to execute the modelling...
A thorough economic evaluation by implementing solar/wind energies for hydrogen production: a case study
, Article Sustainability (Switzerland) ; Volume 14, Issue 3 , 2022 ; 20711050 (ISSN) ; Dehshiri, S. S. H ; Dehshiri, S. J. H ; Mostafaeipour, A ; Almutairi, K ; Ao, H. X ; Rezaei, M ; Techato, K ; Sharif University of Technology
MDPI
2022
Abstract
A technical-economic assessment was carried out in this study to determine the possibilities for wind and solar power generation in Afghanistan’s Helmand province. The results showed that most of the province has a solar irradiance of over 400 W/m2, and also showed that wind and solar power generated in the province can be up to twice as cheap as the official price of renewable power in Afghanistan. The most suitable site for solar and hydrogen production was found to be Laškar Gāh, where solar and hydrogen can be produced at a cost of 0.066 $/kWh and 2.1496 $/kg-H2, respectively. In terms of wind power production and hydrogen production from wind, the most suitable site was Sangīn, where...
Chance-constrained programming for optimal scheduling of combined cooling, heating, and power-based microgrid coupled with flexible technologies
, Article Sustainable Cities and Society ; Volume 77 , 2022 ; 22106707 (ISSN) ; Aliahmadi, M ; Faghri, S ; Ensaf, M ; Ghasemi, A ; Abdoos, A. A ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Microgrids (MGs) have a special role in developing several consumers' energy infrastructure and supply in more economical, safer, and sustainable ways. The interaction and mutual relationship between each energy carrier on the reliable performance of other carriers and the high growth of tri-generation technologies in the MG face the optimal performance of such networks with many challenges. Combined cooling, heating, and power (CCHP)-based MGs are a new generation of MGs that simultaneously provide electrical, thermal, and cooling loads. However, the interaction between these carriers is very influential in CCHP-based MG's operation, which is rarely analyzed. Hence, this paper focuses on...
Wind farm power output optimization using cooperative control methods
, Article Wind Energy ; Volume 24, Issue 5 , 2021 , Pages 502-514 ; 10954244 (ISSN) ; Nobakhti, A ; Abdolahi, A ; Sharif University of Technology
John Wiley and Sons Ltd
2021
Abstract
We study the application of cooperative control and game theoretic approaches to wind farm optimization. The conventional (greedy) wind farm control strategy seeks to individually maximize each turbine power. However, this strategy does not maximize the overall power production of wind farms due to the aerodynamic interactions (wake effect) between the turbines. We formulate the wind farm power optimization problem as an identical interest game which can also be used to solve other cooperative control problems. Two model-free learning algorithms are developed to obtain the optimal axial induction factors of the turbines and maximize power production. The algorithms are simulated for a...
Low-speed wind energy harvesting from a vibrating cylinder and an obstacle cylinder by flow-induced vibration effect
, Article International Journal of Environmental Science and Technology ; 2021 ; 17351472 (ISSN) ; Shariatzadeh, M. J ; Bijarchi, M. A ; Pournasiri Masouleh, E ; Shafii, M. B ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2021
Abstract
An experimental setup has been developed to analyse the impact of cylinder transverse vibration caused by flow-induced vibration, and to improve wind energy harvesting from these vibrations. The setup consists of a cylinder mounted on four springs and is subjected to a uniform and steady flow of wind. In the first part, the effect of mounting a fixed cylinder as an obstacle with different diameters and distances from the downstream vibrating cylinder is investigated. It has been observed that the vibration amplitude on the wake of an unequal-sized obstacle is greatly amplified compared to the case of a single cylinder or an equal-sized cylinder. Numerical simulations has been conducted to...
Enhancing electricity market flexibility by deploying ancillary services for flexible ramping product procurement
, Article Electric Power Systems Research ; Volume 191 , 2021 ; 03787796 (ISSN) ; Fotuhi Firuzabad, M ; Moeini Aghtaie, M ; Dehghanian, P ; Sharif University of Technology
Elsevier Ltd
2021
Abstract
The escalated penetration of wind energy in the electric industry has by large contributed to an intensified uncertainty and variability of the net-load, i.e., the difference between stochastic demand and intermittent supply. In response, some Independent System Operators (ISOs) have recently introduced the Flexible Ramping Product (FRP) to heighten the grid flexibility via effective hosting of the uncertain renewables. This paper suggests a novel framework for optimal FRP provision in real-time markets (RTM) in which the shortage in the RTM ramp capacity is compensated by optimal deployment of day-ahead procured spinning reserve. In the envisioned mechanism, the ISO can deploy specific...
Robust optimization of renewable-based multi-energy micro-grid integrated with flexible energy conversion and storage devices
, Article Sustainable Cities and Society ; Volume 64 , 2021 ; 22106707 (ISSN) ; Habibifar, R ; Moradi, M ; Khoshjahan, M ; Nojavan, S ; Jermsittiparsert, K ; Sharif University of Technology
Elsevier Ltd
2021
Abstract
This paper presents a new model for optimal scheduling of renewable-based multi-energy microgrid (MEM) systems incorporated with emerging high-efficient technologies such as electric vehicle (EVs) parking lots, power-to-gas (P2G) facility, and demand response programs. The proposed MEM is equipped with wind energy, multi-carrier energy storage technologies, boiler, combined heat and power unit, P2G, EVs, and demand response with the aim of total operational cost minimization. Meanwhile, the system operator can participate in three electricity, heat, and gas market to meet local demands as well as achieve desired profits through energy exchanges. The proposed MEM is exposed to high-level...
Investigating the effects of ESS technologies on high wind-penetration power grids considering reliability indices
, Article 2021 IEEE Texas Power and Energy Conference, TPEC 2021, 2 February 2021 through 5 February 2021 ; 2021 ; 9781728186122 (ISBN) ; Khoshiahan, M ; Moeini Aghtaie, M ; Fotuhi Firuzabad, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2021
Abstract
Energy storage systems (ESSs) play a vital role in dealing with uncertainties originated from the intermittent power generation of renewable energy sources (RESs) leading to improvement of flexibility and reliability of power systems. Needless to say, a key factor is selecting the best technology of ESSs which yields to maximum leverage of ESSs presence in power systems. On this basis, in this paper, a mixed integer linear programming (MILP) direct-optimization model is proposed to effectively mitigate the impacts of insufficient transmission lines capacities by installation of different ESS technologies using a DC optimal power flow model. Firstly, a precise model for the technical...