Document Type : Research Articles


1 Islamic Azad University, Dariun Branch

2 Islamic Azad University, Marvdasht Branch


Ocean thermal energy conversion (OTEC) systems utilize from the difference between the temperatures of surface and deep water and drive a thermodynamic Rankine cycle for electric power generation. The generated power depend on the temperature of the surface water as warm source and due to the variation in the temperature of surface, the output power of the OTEC system frequently changes. This uncertainty nature results in the variation in the generated power and so, integration of large-scale OTEC generation units to the power system is a challenging problem and new techniques must be developed for studying the effects of resources on the power system. Therefore, the balance between generation and consumption is important and from reliability point of view, spinning reserve must be scheduled to prevent load curtailment in the events such as forced outages of generation units, transmission lines and so on. In a power system containing large-scale OTEC power plants, the uncertainty nature of these plants must be considered in the reserve scheduling and for this purpose, a reliability model considering both failure of composed components and variation in the output power, is developed and for determining a suitable multi-state model, fuzzy c-means clustering technique and XB index is utilized. Then, the proposed multi-state model is used for spinning reserve determination of a power system containing OTEC plants using of the modified PJM method. Numerical results associated to RBTS and IEEE-RTS present the effectiveness of the proposed technique for operation studies of power systems containing OTEC systems.


Main Subjects

[1] Zhou, Tao-tao, Hai-long Jing, and Hai Sun. "Reliability,
validity and development of ocean thermal energy
conversion." World Automation Congress (WAC), 2012.
IEEE, 2012.

[2] Wanjun, Wang, et al. "Ocean Energy Comprehensive
Utilization System of Water-electricity Cogeneration." The
Journal of Engineering 2017.13 (2017): 1362-1366.

[3] Heydt, Gerald Thomas. "An assessment of ocean thermal
energy conversion as an advanced electric generation
methodology." Proceedings of the IEEE 81.3 (1993):

[4] von Jouanne, Annette, and Ted KA Brekken. "Ocean and
Geothermal Energy Systems." Proceedings of the IEEE
105.11 (2017): 2147-2165.

[5] Vega, Luis A. "Ocean thermal energy conversion primer."
Marine Technology Society Journal 36.4 (2002): 25-35.

[6] Shakil, Shifur Rahman, and Md Anamul Hoque. "Proposal
for introduction of ocean thermal energy conversion
(OTEC) to the energy sector of Bangladesh." Advances in
Electrical Engineering (ICAEE), 2013 International
Conference on. IEEE, 2013.

[7] Comfort, Christina M., and Luis Vega. "Environmental
assessment for ocean thermal energy conversion in Hawaii:
Available data and a protocol for baseline monitoring."
OCEANS 2011. IEEE, 2011.

[8] Eldred, Michael P., et al. "Heat exchanger development for
ocean thermal energy conversion." OCEANS 2011. IEEE,

[9] Ortega-Vazquez, Miguel A., and Daniel S. Kirschen.
"Estimating the spinning reserve requirements in systems
with significant wind power generation penetration." IEEE
Transactions on Power Systems 24.1 (2009): 114-124.

[10] Bart C. Ummels, Madeleine Gibescu, Engbert Pelgrum, Wil
L. Kling, Arno J. Brand, “Impacts of Wind Power on
Thermal Generation Unit Commitment and Dispatch” IEEE
Transactions on energy conversions, Vol. 23, No. 1, March

[11] Ronan Doherty, Mark. O. Malley, “A New Approach to
Quantify Reserve Demand in Systems with Significant
Installed Wind Capacity” IEEE Transactions on power
systems. Vol. 20, No. 2, May 2005

[12] R. Billinton, D. Huang, B. Karki, “Wind Power Planning
and Operating Capacity Credit Assessment” IEEE coference,
PMAPS 2010

[13] Sefidgar-Dezfouli, Ali, Mahmood Joorabian, and Elaheh
Mashhour. "Microgrid optimal scheduling considering
normal and emergency operation." International Journal of
Industrial Electronics, Control and Optimization 2.4
(2019): 279-288.

[14] Yari, A. R., et al. "A Practical Approach to Planning
Reliability-Centered Maintenance in Distribution System
Considering Economic Risk Function and Load
Uncertainty." (2019): 319-330.

[15] Ghanbari, Sanaz, and Hamdi Abdi. "Investigating
Reliability of Smart Electrical Grids Considering
Self-healing in Presence of Distributed Generation
Resources." International Journal of Industrial Electronics,
Control and Optimization 2.4 (2019): 343-354.

[16] Safipour, Reza, and M. Oukati Sadegh. "Optimal Planning
of energy storage systems using symbiotic organisms search
algorithm." International Journal of Industrial Electronics,
Control and Optimization 1.1 (2018): 19-26.

[17] Barati, Hassan, and Mohsen Shahsavari. "Simultaneous
Optimal placement and sizing of distributed generation
resources and shunt capacitors in radial distribution systems
using Crow Search Algorithm." International Journal of
Industrial Electronics, Control and Optimization 1.1
(2018): 27-40.

[18] Fakhrooeian, Parnian. "Optimal allocation and sizing of
dynamic VAR support to improve short-term voltage
stability considering wind farm and dynamic load model."
International Journal of Industrial Electronics, Control and
Optimization 1.1 (2018): 41-51.

[19] Ahmadi Kamarposhti, Mehrdad. "Optimal Control of
Islanded Micro Grid Using Particle Swarm Optimization
Algorithm." International Journal of Industrial Electronics,
Control and Optimization 1.1 (2018): 53-60.

[20] Radmehr, Mahdi, and Mohammad Mojibi. "Reliability
Assessment and Thermal Consideration of a Step-down
DC/DC Converter." International Journal of Industrial
Electronics, Control and Optimization 2.3 (2019): 247-256.

[21] Karimabadi, Ali, et al. "The effect of condition monitoring
of circuit breaker on the reliability and maintenance cost of
substation." International Journal of Industrial Electronics,
Control and Optimization 2.3 (2019): 167-176.

[22] Jafarian, Yousefreza, Amin Karimi, and Hassan Bevrani.
"Secondary Voltage Control in a Hybrid Microgrid."
International Journal of Industrial Electronics, Control and
Optimization 2.3 (2019): 221-232.

[23] Taheri, Bahman, Gholamreza Aghajani, and Mahsa
Sedaghat. "Economic dispatch in a power system
considering environmental pollution using a multi-objective
particle swarm optimization algorithm based on the Pareto
criterion and fuzzy logic." International Journal of Energy
and Environmental Engineering 8.2 (2017): 99-107.

[24] Ebrahimian, Homayoun, Bahman Taheri, and Nasser
Yousefi. "Optimal operation of energy at hydrothermal
power plants by simultaneous minimization of pollution and
costs using improved ABC algorithm." Frontiers in Energy
9.4 (2015): 426-432.

[25] Kenneth Wark, Thermodynamics, 4th ed. (New York:
McGraw-Hill, 1983)

[26] R. Billinton and R. N. Allan, Reliability Evaluation of
Power Systems, 2nd ed. New York, NY, USA and London,
U.K.: Plenum, 1994.

[27] Omran, Mahamed GH, Andries P. Engelbrecht, and Ayed
Salman. "An overview of clustering methods." Intelligent
Data Analysis 11.6 (2007): 583-605.

[28] R. L. Cannon, V. D. Jitendra, and J. C. Bezdek, "Efficient
Implementation of the Fuzzy c-Means Clustering
Algorithms," IEEE Trans. Pattern Analysis and Machine
Intelligence, vol. PAMI-8, no. 2, pp. 248-255, March 1986.

[29] Chen, M., Ludwig, S.A.: ‘Particle swarm optimization
based fuzzy clustering approach to identify optimal number
of clusters’
Journal of Artificial Intelligence and Soft
Computing Research
, 2014, 4,(1), pp.43 56.

[30] Mehdizadeh, E., sadi-nezhad, S., Tavakkoli-moghaddam,
R.: ‘Optimization of fuzzy clustering criteria by a hybrid
PSO and fuzzy c-means clustering algorithm ‘Iranian
Journal of Fuzzy Systems, 2008, 5, (3), pp. 1-14.

[31] Oubrahim, Z., Choqueuse, V., Amirat, Y., Benbouzid, M.:
‘Classification of Three-Phase Power Disturbances based on
Model Order Selection in Smart Grid Applications’ I
2016 - 42nd Annual Conference of the IEEE Industrial
Electronics Society
, Italy, Florence, 2016, pp: 5143

[32] Liang, Zhehui, Pingjian Zhang, and Juanjuan Zhao.
"Optimization of the number of clusters in fuzzy
clustering." Computer Design and Applications (ICCDA),
2010 International Conference on. Vol. 3. IEEE, 2010.

[33] Ghaedi, Amir, et al. "Toward a comprehensive model of
large-scale DFIG-based wind farms in adequacy assessment
of power systems." IEEE Transactions on Sustainable
Energy 5.1 (2013): 55-63.

[34] Ghaedi, A., et al. "Incorporating Large Photovoltaic Farms
in Power Generation System Adequacy Assessment."
Scientia Iranica 21.3 (2014): 924-934.

[35] Mirzadeh, Mostafa, Mohsen Simab, and Amir Ghaedi.
"Adequacy studies of power systems with barrage-type tidal
power plants." IET Renewable Power Generation 13.14
(2019): 2612-2622.
[36] R. Billinton, S. Kumar, and, “A Reliability Test
System for Educational Purposes-Basic Data,” Power
Engineering Review, IEEE, vol. 9, no. 8, pp. 67-68, Aug.

[37] Reliability Test System Task Force of the Application of
Probability Methods subcommittee, “IEEE reliability test
system,” IEEE Trans. Power App. Syst., vol. PAS-98, no. 6,
pp. 20472054, Nov. /Dec. 1979.