eng
Iran Energy Association (IEA)
Journal of Energy Management and Technology
2588-3372
2021-06-01
5
2
1
11
10.22109/jemt.2020.217916.1228
109892
مقاله پژوهشی
A novel integrated long-term generation maintenance coordination and midterm security-constrained unit commitment from ISO's perspective
Fatemeh Moinian
f_moinian@sbu.ac.ir
1
Mohammad Taghi Ameli
m_ameli@sbu.ac.ir
2
Dawood Farokhzad
farokhzad@tavanir.org.ir
3
Department of electrical and computer engineering, Shahid Beheshti University, Tehran, Iran
Department of electrical and computer engineering, Shahid Beheshti University, Tehran, Iran
Iran Grid Management Company,Tehran,Iran
In a restructured power system, generation maintenance scheduling makes a significant effect on the operation and planning of the power system. Optimal maintenance schedule would improve power system reliability; as it can reduce unplanned outages and avoid high costs of production losses. Moreover, planned outages may be cut down by avoiding unnecessary maintenance activities. Therefore, it is crucial to study approaches for the generation maintenance schedule. In this paper, a novel approach for the long-term generation maintenance scheduling is proposed which mainly focuses on the ISO’s perspective. The approach benefits from the reliability centered maintenance concept by employing criticality indices in the scheduling model. Besides, it founded on new-defined maintenance proposals which would be submitted by generation companies and would make the model more realistic. The coordination between maintenance scheduling and security-constrained unit commitment problem is considered in this study. The model is solved by a mixed integer and real coded genetic algorithm which is combined with a quadratic programming solver. For systematic analysis, the IEEE 30-Bus is employed and the results are presented which emphasize the effectiveness and applicability of the proposed approach.
https://www.jemat.org/article_109892_6dfb1d8d7581842d49b114a3053f940a.pdf
Generation Maintenance coordination
reliability-centered maintenance coordination
power system reliability
SCUC
Genetic Algorithm
eng
Iran Energy Association (IEA)
Journal of Energy Management and Technology
2588-3372
2021-06-01
5
2
12
22
10.22109/jemt.2020.219626.1230
107263
مقاله پژوهشی
The prioritization and feasibility study over renewable technologies using fuzzy logic: A case study for Takestan plains
Nima Norouzi
nima1376@aut.ac.ir
1
Maryam Fani
mfani@aut.ac.ir
2
Energy engineering, Amirkabir university, Tehran, Iran
Energy engineering, Amirkabir university of technology, Tehran, Iran
Regardless of the precious oil and gas resources, Iran is also recognized as one of the largest renewable energy potential holders in the region. Iran, as one of the world's largest oil exporters and producers of gas, plays a significant role in international energy policy. However, since 2015, in the wake of the success of the discourse on climate change in the international space, Iran has begun dangerous development programs in the field of new energy, and by expanding the policy of encouragement and support provided by the Trustee of the Organization of Renewable Energy and Energy Performance (Ab. in Persian is SATBA), has been trying to expand the culture of private investment in this area. Due to these reasons and the growing importance of clean energy in the international space and global energy security, this study examines the potential of each of the three renewable technologies such as solar, wind, and biomass in Qazvin province as a case study. The study seeks to prioritize the superiority of each technology and select the best option for investing in the field of renewable energy in each area using the fuzzy logic algorithm as well as the principles of engineering economics and feasibility studies.
https://www.jemat.org/article_107263_9c487c6a92cc3710b846b005095a3406.pdf
Renewable Energies
Feasibility Studies
Economics
Fuzzy logic
Energy
eng
Iran Energy Association (IEA)
Journal of Energy Management and Technology
2588-3372
2021-06-01
5
2
23
31
10.22109/jemt.2020.213436.1219
110978
مقاله پژوهشی
Optimal and stable electric power system for more electric aircraft: Parallel operation of generators and weight reduction
Hamid Radmanesh
radmanesh@ssau.ac.ir
1
Hamidreza Jashnani
jashnani@ssau.ac.ir
2
Amir Khaledian
khaledian66@gmail.com
3
Hossein Sobhani
hossein.fallahzadeh@eghlid.ac.ir
4
Shahid Sattari Aeronautical University of Science and Technology, Tehran, Iran
Shahid Sattari Aeronautical University of Science and Technology, Tehran, Iran
Department of Electrical Engineering, Faculty of Shahid Jabarian, Hamedan branch, Technical and Vocational University (TVU), Hamedan, Iran.
Department of Electrical Engineering, Faculty of Shahid Sadoughi, Yazd Branch, Technical and Vocational University (TVU), Yazd, Iran.
More electric aircraft has become an interesting topic in recent studies. In this paper, an optimal electric power generation mechanism is proposed for aircraft. Inverter-interfaced engine-driven induction generators are considered as distributed generators in the aircraft microgrid. Droop controller is applied to enable the parallel operation of generators and eliminate using of conventional constant speed drives. A new method is proposed to determine optimal droop gain for active power sharing. The method is applied to minimize the frequency deviation of the AC aircraft network. In the following, the reactive power sharing is considered as a challenge in case of asymmetrical load distribution. By proposing a new algorithm, optimal reactive power droop gain is determined with regard to the small signal stability of the system. Proposed power sharing methods are evaluated by simulation of a sample aircraft grid. The optimization results for assigned power and droop gain are given. Simulation results show that the frequency regulation of aircraft electric grid is properly achieved. Also it is shown that the reactive power sharing is enhanced and the system stability is maintained.
https://www.jemat.org/article_110978_ab8b32f146d208531e2cee27833257cc.pdf
Aircraft
Constant Speed Drive
Optimal Droop Gain
Power sharing
eng
Iran Energy Association (IEA)
Journal of Energy Management and Technology
2588-3372
2021-06-01
5
2
32
44
10.22109/jemt.2020.214268.1222
117594
مقاله پژوهشی
Formulation of research and development strategy in power plant equipment's manufacturing industries
Ali Noemani Seighalan
noemani@gmail.com
1
Abbas Khamseh
abbas.khamseh@kiau.ac.ir
2
Taghi Torabi
ttttorabi@gmail.com
3
. Department of technology management , Science and Research branch, Islamic Azad University, Tehran, Iran
Department of industrial management , Karaj branch, Islamic Azad University, Karaj, Iran
Department of Economics , Science and Research branch, Islamic Azad University, Tehran, Iran
Application of advanced technologies in the production process has continuously made power plant equipment's manufacturing industries to move beyond the borders of knowledge and technology. What expedites this movement is R&D which involves organizational resources and aligning with goals and strategies. Proper selection of R&D projects requires an appropriate strategy in line with the business goals of companies operating in this sector. To identify factors affecting R&D strategy formulation, we reviewed existing literature. Then a questionnaire was made using perceptions of 18 academic experts working in R&D departments. The questionnaire was confirmed in terms of validity and reliability and then distributed among experts of 10 companies active in R&D. Findings from structural equation modeling in Smart PLS software revealed that 23 established indicators affect R&D strategy formulation. The indicators were lied and prioritized in six main drivers including business strategy, technology strategy, R&D collaboration strategy, R&D funding strategy, innovation strategy, and R&D supportive strategy, respectively. The results show all the extracted factors have a significant impact on the formulation of R&D strategy. Policymakers should consider each of the great six factors when formulating R&D strategy.
https://www.jemat.org/article_117594_b593573e0326f0651e78ab9a9d4b0082.pdf
R&D
strategy
R&D strategy
Power Plant Equipment's Manufacturing Industries
eng
Iran Energy Association (IEA)
Journal of Energy Management and Technology
2588-3372
2021-06-01
5
2
45
52
10.22109/jemt.2020.243085.1252
118115
مقاله پژوهشی
A multi-objective stochastic tri-level programming for highlighting the role of the pumped-storage power plant on electric grid defense budget
Reza Ghaffarpour
rghaffarpour@ihu.ac.ir
1
Imam hossein university
This paper attempted to highlight the impact of a pumped-storage hydro plant on the electricity grid defense budget, which is spent to increase the power system resilience against terrorist attacks. A stochastic tri-level programming approach known as the defender-attacker-defender technique was applied to detect the defense plan by considering the pumped-storage hydro plant. The stochastic parameter was related to the water volume of the upper reservoir during the disruptive attack. In the stochastic tri-level programming model, the upper level was formulated to identify the components that should be defended for mitigating the system vulnerability against disruptive agent attacks. A terrorist agent seeks to find a set of components for maximizing power system damage. Therefore, the middle level was used to model the disruptive behavior. Finally, the lower level modeled the system operator behavior during the attack. The system operator generally applied flexible sources such as storage to reduce the effects of the attack. Thus, the role of the pump-storage hydro plant was evident at this level. The proposed tri-level problem was solved by transforming it into an equivalent bi-level program, which was solved by using an enumeration algorithm. Simulation results illustrate the effectiveness of the pump-storage hydro plant in reducing the power system defender budget
https://www.jemat.org/article_118115_0a648e396f0675673333c1e664430704.pdf
Pumped-storage hydro plant
stochastic tri-level programming
defender-attacker-defender technique
eng
Iran Energy Association (IEA)
Journal of Energy Management and Technology
2588-3372
2021-06-01
5
2
53
63
10.22109/jemt.2020.214207.1221
113344
مقاله پژوهشی
A two-stage approach to enhance distribution network resilience against natural disasters
Reza Saberi
saberi@birjand.ac.ir
1
Hamid Falaghi
hfalaghi@yahoo.com
2
Mostafa Esmaeeli
esmaeeli@birjandut.ac.ir
3
Maryam Ramezani
mramezani@birjand.ac.ir
4
Faculty of Electrical and Computer Engineering, University of Birjand, Birjand, Iran
Faculty of Electrical and Computer Engineering, University of Birjand
Faculty of Computer and Industrial Engineering, Birjand University of Technology, Birjand, Iran
Faculty of Electrical and Computer Engineering, University of Birjand, Birjand, Iran
The natural disasters such as floods and storms have always led to widespread damage and seriously disrupt at the power distribution network. This paper, after presenting a new index to quantitatively calculate the resilience of the distribution network, proposes a two-stage approach to enhance distribution network resilience against natural disasters in the presence of distributed generation (DG) including photovoltaic and conventional gas-fired power sources. The first stage includes determining the boundaries of isolated zones and optimal capacity of the DG units in each zone with the aim of improving the resilience by considering budget constraint. The second stage includes determining the optimal location of DG in each zone with the aim of optimizing the distribution network losses. A genetic algorithm (GA) based optimization method is developed to solve the proposed problem. The performance of the proposed approach is assessed and illustrated by numerical studies on a practical distribution system from Iran.
https://www.jemat.org/article_113344_0fc2f5e1fa8aa2f52b3592a60519923a.pdf
flood
Storm
Resilience
distributed generation
Genetic Algorithm
eng
Iran Energy Association (IEA)
Journal of Energy Management and Technology
2588-3372
2021-06-01
5
2
64
72
10.22109/jemt.2020.236318.1244
117639
مقاله پژوهشی
BIM-based optimum design and energy performance assessment of residential buildings
Abdul Amir Reza Soroush
amir.soroush57@gmail.com
1
Nima Amani
nimaamani@iauc.ac.ir
2
Department of Civil Engineering, Chalous Branch, Islamic Azad University, Chalous, Iran
Department of Civil Engineering,Chalous Branch, Islamic Azad University, Chalous, Iran
Buildings are the largest energy consumer in the world, according to the United Nations Environment Program. Most of the energy will be used during the building life-cycle stage. Thus, achieving sustainable development at the national level requires minimizing the impact of buildings on the environment by reducing energy consumption. Using Building Information Modeling technology in energy performance assessment could be significantly reduced time and cost. This study aimed to optimize energy consumption in a residential building using BIM technology. The main focus of this study was to evaluate energy performance through the simultaneous evaluation of building components using BIM technology with a conceptual design approach, comparison, and reduction of energy consumption. To investigate different design ideas were created several conceptual masses in Autodesk Revit software with a top-down design approach. After reviewing the conceptual masses, the main building form was chosen for modeling. Then, building energy consumption was computed using related tools in this field, based on the type of materials, equipment, and project location. Finally, the most optimal mode was selected by examining different energy consumption forms. The results of parametric studies on alternative schemes of energy optimization showed that 58.46% of energy cost savings could be achieved compared to the initial model of the building on a 30-year time horizon.
https://www.jemat.org/article_117639_df9687c34be9ad4132f10795a2156ca5.pdf
energy consumption
Energy performance assessment (EPA)
Energy Simulation
Building energy efficiency
Building Information Modeling (BIM)