Direct model predictive speed control strategy for a PMSM fed by a three-level NPC converter
Sajad
Saberi
Electrical Engineering, PhD candidate, Babol Noshirvani University of Technology, Mazandaran, Babol
author
Behrooz
Rezaie
Faculty of Electrical Engineering, Babol Noshirvani University of Technology, Mazandaran, Babol, Iran
author
text
article
2021
eng
TThis paper presents a direct predictive speed control strategy to control a permanent magnet synchronous motor (PMSM) fed by a three-level neutral-point clamped converter (NPC). A new cost function is proposed by incorporating the speed dynamic, the current dynamic and the system constraints to have a good performance without additional outer-loop PI speed controller. The current dynamic added to cost function is based on the concept of the sliding mode control (SMC). Moreover, a load torque observer is used for better performance of the proposed method and the stability of the observer is presented. By combining new reference value of the current into the cost function, the necessity to multiple horizon in the predictive speed control (PSC) is obviated, the effects of the current dynamic on the transient conditions is considered so current distortion and torque fluctuation is reduced considerably and the controller acts as fast as an original direct speed control without cascade structure. Simulation results using MATLAB/SIMULINK demonstrate the performance of the proposed scheme.
Journal of Energy Management and Technology
Iran Energy Association (IEA)
2588-3372
5
v.
3
no.
2021
1
7
https://www.jemat.org/article_118293_8ee5071f596ea5cfc622e3c2ad799821.pdf
dx.doi.org/10.22109/jemt.2020.236813.1246
How does the civilized gravitational search algorithm solve the optimal DG placement?
saman
Hosseini-Hemati
Electrical Engineering Department, Engineering Faculty, Razi University, Kermanshah, Iran.
author
Shahram
Karimi
Electrical Engineering Department, Engineering Faculty, Razi University, Kermanshah, Iran
author
Gholam Hossein
Shaeisi
Electrical Engineering Department, Engineering Faculty, Razi University, Kermanshah, Iran
author
text
article
2021
eng
This study addresses Civilized Gravitational Search Algorithm (CGSA) as a new mass intelligence optimization algorithm for solving optimal single and multiple DG placement problems in the electrical distribution networks. The proposed technique utilizes the modified search procedure of Society Civilization Algorithm (SCA) combining with Newtonian laws of GSA. It mainly consists of two steps. The first step provides a candidate list for DG allocation based on active power loss minimization and the second one searches simultaneously the optimal DG size(s) and location(s) using Self-Adoptive Learning (SAL) strategy. In order to verify the capabilities and effectiveness of the suggested approach, all simulations are conducted through IEEE 33- and 69-bus electrical distribution networks. Moreover, 23 standard functions are examined to verify the stability of the proposed algorithm on different low- and high-dimensional functions. Comparisons demonstrate the superior performance of the presented method to provide better solution quality with a fast convergence characteristic.
Journal of Energy Management and Technology
Iran Energy Association (IEA)
2588-3372
5
v.
3
no.
2021
8
20
https://www.jemat.org/article_119565_224f589b7b68b84df4576a7b25df2892.pdf
dx.doi.org/10.22109/jemt.2020.224858.1234
Reliability centered economic dispatch in concept of energy hub considering resource diversity constraint
Seyed Meisam
Ezzati
Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
author
Hosein
Mohammadnezhad Shourkaei
Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
author
Faramarz
Faghihi
Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
author
Soodabeh
Soleymani
Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
author
Seyed Babak
Mozafari
Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
author
text
article
2021
eng
In an inconsistent view of energy systems, the interaction between different energy carriers is not taken into account. In such a view, the considered problem is not well optimized. The idea of an integrated looking into several carriers has been proposed by creating the energy hub concept. Due to the simultaneous attention of all energy carriers, long-term planning and short-term operation have converted to complicated challenges. To this end, this study focuses on the energy hub operation for cost minimization. In addition to considering reliability indices for different loads, diversity constraint is regarded as a key point to increase energy security. Sensitivity analysis of the degree of diversity and its effects on operation costs and Expected Energy not Supply (EENS), play a vital role in the final decision. LINDOGlobal solver is employed in GAMS to implement Mixed Integer Nonlinear Programming (MINLP) model. A sample energy hub, considering three carriers in the input port and three loads in the output port, is used as a test system, and results are discussed in depth.
Journal of Energy Management and Technology
Iran Energy Association (IEA)
2588-3372
5
v.
3
no.
2021
21
29
https://www.jemat.org/article_118726_c8c52b839d79cbc0bf2cded5ab68efde.pdf
dx.doi.org/10.22109/jemt.2020.231405.1241
Investigating effect of using earth-sheltered architecture on energy conservation in cold and mountainous climate; case study: Yakhchal-e Qaem Maqam, Basement of Sharbat Oqli House, and Cistern of Parvin Etesami House
Elnaz
Abizadeh
Assistant Professor, Roshdiyeh Higher Education Institute, Tabriz, IRAN
author
text
article
2021
eng
The limitation of energy resources is becoming a serious crisis in the world. Considering the energy and environmental crises caused by the excessive consumption of energy in the world, it is necessary to revise design methods and use sustainable and valuable models in the design of buildings in order to provide thermal comfort. Architecture in the shadow of the earth is a valuable and sustainable model which has high energy conservation capability acts along the protection of the environment via energy conservation and adapts with the needs of the era. The present research is aimed to explain the concepts of earth-sheltered architecture and determine the effect of design and use of underground spaces in environmental sustainable design, architectural harmony with the climate, and energy conservation. In this research, using descriptive-analytical research method based on library and documentary studies as well as field survey, the earth-sheltered architectural concepts are explored and successful samples of the world and valuable models in Iranian traditional architecture are introduced. In the case study, the physical features of a few samples of underground spaces in Tabriz as well as heat waste or absorption from walls are examined at different depths. The results of the study indicate that heat waste or absorption rate via walls depends on the underground physical properties, contact of walls with the outside air, and burial level of buildings. Benefiting from the potential of underground spaces and use of ground depth in architectural design has led to developing relatively stable conditions against adverse conditions of climate and environmental balance. Utilizing the values of experiences could provide a solution for solving a part of the current energy crisis and creation of responsive environments in terms of climate and application.
Journal of Energy Management and Technology
Iran Energy Association (IEA)
2588-3372
5
v.
3
no.
2021
30
42
https://www.jemat.org/article_114927_e2d5521c7e48804c59f848f16b2e13f6.pdf
dx.doi.org/10.22109/jemt.2020.230539.1240
The seventh line: a scenario planning strategic framework for Iranian 7th energy progress plan by 2020-2025
Nima
Norouzi
Energy engineering and physics department, Amirkabir university, Tehran, Iran
author
Maryam
Fani
Energy, Amirkabir university of tech., tehran, iran
author
text
article
2021
eng
Iran, not just as an oil-exporting country, but also because of its geopolitical position, is one of the world’s most important countries. Since the recent events of the Middle East, the importance of the country has grown globally. Because of this growing importance, the short term future of Iran is significant to be studied. In this study, a descriptive approach has been taken to synthesize the world’s energy portfolio and the global energy balance outlook to provide insights into the development of local energy portfolio scenarios focusing on Iran. The shell company represents two basic scenarios, which are the scramble and blueprint. According to shell scenarios world energy portfolio might be organized in two images in which each image concludes different energy portfolios. Thus, developing energy portfolio scenarios is essential. In this paper, after reviewing the four selected developing countries’ energy portfolios and developed countries, the scenarios of Iran’s energy portfolio in 2020-2025 will be presented. For this purpose, a combination of qualitative and quantitative methods will be used for scenario building.
Journal of Energy Management and Technology
Iran Energy Association (IEA)
2588-3372
5
v.
3
no.
2021
43
53
https://www.jemat.org/article_118294_747f4d8145a47b15cdb01bdb5bc683cf.pdf
dx.doi.org/10.22109/jemt.2020.234795.1243
Optimal distributed generation placement strategy to enhancing resilience against smoke effect
Navid
Javidtash
Department of Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran
author
Masoud
Jabbari
Department of Engineering, Marvdasht Branch , Islamic Azad University, Marvdasht, Iran
author
Taher
Niknam
Department of Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran
author
Mehdi
Nafar
Department of Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran
author
text
article
2021
eng
Climate change raises natural disasters, especially high impact low probability (HILP) events like wildfire. The effect of wildfire on power systems could be investigated based on the flame and smoke of wildfire. Smoke can affect power system resilience, however, this effect on the power system has not yet been fully investigated. In this paper, at first, the smoke effect has been examined, and after that power system resilience has been improved by the optimal placement of distributed generation resources. Since the smoke effect depends on the direction of the wind, and it has stochastic nature, the wind rose curve has been used to reduce possible scenarios. It should be noted that the proposed method has been studied on the IEEE 33-bus distribution system to the multi-objective placement of distributed generation sources. Since the multi-objective solutions have Pareto set answers, it is provided to find a unique answer by using the fuzzy method. Also, a new optimization algorithm has been presented for the first time that is called the handball championship cup algorithm or HCCA algorithm. It is shown that the proposed methods have good accuracy, and are suitable for improving the power system resilience against the smoke effect.
Journal of Energy Management and Technology
Iran Energy Association (IEA)
2588-3372
5
v.
3
no.
2021
54
66
https://www.jemat.org/article_119974_b4d2292afbbb9a5da72d13ca3bbe5e18.pdf
dx.doi.org/10.22109/jemt.2020.226576.1236
Optimal reactive power dispatch problem: A comprehensive study on meta-heuristic algorithms
Hamdi
Abdi
Electrical Engineering Department, Engineering Faculty, Razi University, Kermanshah, Iran
author
Mansour
Moradi
Young Researchers and Elite Club, Islamic Azad University, Kermanshah Branch, Kermanshah, Iran.
author
Reza
Asadi
Department of Electrical Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran.
author
Soheil
Naderi
School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.
author
Bahman
Amirian
West Regional Electric Company, Kermanshah, Iran.
author
Farhad
Karimi
Department of Electrical Engineering, Faculty of Technical and Vocational, Islamabad-e Gharb Branch, Technical and Vocational University (TVU), Kermanshah, Iran.
author
text
article
2021
eng
The main mission of modern power systems is to supply the load in the most economical and reliable methods. One of the most challenging issues in this regard is the Optimal Reactive Power Dispatch (ORPD), since the crucial focus of planning and operation studies is mainly on only supplying the active power. The primary purpose of the ORPD issue, as a complex and nonlinear problem, is to identify the relevant control variables to minimize some objective functions, i.e. active power losses considering the system constraints. As the literature review shows, the application of meta-heuristic techniques to find the optimal solution to the ORPD problem is of great importance in this field. This paper, as a comparative case study, attempts to investigate the capability of some powerful meta-heuristic optimization algorithms to tackle the ORPD problem. The control variables are the generated power by the power plants, the voltage magnitude of PV buses, the installed capacity of parallel capacitors, and on-load transformer tap changers. All the simulations were implemented on the two case study systems, including the IEEE 30-, and 57-buses. The applied meta-heuristic algorithms to the problem are Orthogonal Crossover based Differential Evolution (OXDE), Hybrid Grey Wolf Optimization, and Particle Swarm Optimization Algorithm (HGWO-PSO), Sine Cosine Algorithm (SCA), and Hybrid PSO and Genetic Algorithm (HPSO-GA).
Journal of Energy Management and Technology
Iran Energy Association (IEA)
2588-3372
5
v.
3
no.
2021
67
77
https://www.jemat.org/article_119626_6f907d8bb4d77665c395a0c7d5da1be2.pdf
dx.doi.org/10.22109/jemt.2020.241172.1251