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Dynamic Optimal Power Flow Incorporating Gas Turbine Generator Unit with Compressed Natural Gas Systems


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DOI: https://doi.org/10.15866/iree.v14i6.16461

Abstract


In developing countries, gas infrastructures are not well established yet. Consequently, insufficient gas supply for gas turbine generator unit may occur during peak load hours. Dual firing unit can overcome such limitation by switching the fuel to High Speed Diesel Oil. However, it will significantly increase the operation cost since High Speed Diesel fuel is much more expensive than natural gas. Recently, a compressed natural gas system has been widely used to solve inadequacy of gas supply during peak load hours. This system compresses the remaining natural gas supply from gas provider during off-peak load hours and stores it into gas tubes. The compressed gas is then released to top up gas supply to gas turbine during peak load hours. Thus, the unit can fully operate on gas at both peak and off-peak load hours. As a result, the operation cost will be lower. This paper proposes an approach in optimizing system operation cost of large system, which has gas turbine generator unit with compressed natural gas system. Furthermore, load curtailment and implementation of take or pay energy contract is also included. The problem is formulated as dynamic optimal power flow and solved using quadratic programming. The proposed approach is tested using IEEE 30 bus and Jawa Bali 500 kV. The results show the effectiveness of the approach in optimizing daily gas usage as well as satisfying take or pay energy contract.
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Keywords


Dynamic Optimal Power Flow; Load Curtailment; Compressed Natural Gas; Take or Pay Scheme

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Dale W. Rose, Sungkook Kim, Dynamic Economic Dispatch of Generation, IEEE Transaction on Power Apparatus and Systems, Vol. PAS-99, No. 6, November 1980.

X.S. Han, H.B. Gooi, Daniel S. Kirschen, Dynamic Economic Dispatch : Feasible and Optimal Solutions, IEEE Transactions on Power Systems, vol. 16, No. 1, February 2001.
https://doi.org/10.1109/59.910777

Taher Niknam, Rasoul Azizipanah-Abarghooee, Jamshid Aghaei, A New Modified Teaching-Learning Algorithm for Reserve Constrained Dynamic Economic Dispatch, IEEE Transaction on Power Systems, vol. 28, No. 3, May 2013, pp. 749-763.
https://doi.org/10.1109/tpwrs.2012.2208273

Rabih A. Jabr, Alun H. Coonick, Brian J. Cory, A Study of the Homogeneus Algorithm for Dynamic Economic Dispatch with Network Constraints and Transmission Losses, IEEE Transaction on Power Systems, Vol. 15, No. 2, May 2000, pp. 605-611.
https://doi.org/10.1109/59.867148

Haiwang Zhong, Qing Xia, Yang Wang, Chongqing Kang, Dynamic Economic Dispatch Considering Transmission Losses Using Quadratically Constrained Quadratic Program Method, IEEE Transactions on Power Systems, vol. 28, No. 3, August 2013, pp. 2232-2241.
https://doi.org/10.1109/tpwrs.2013.2254503

Pathom Attaviriyanupap, Hiroyuki Kita, Eiichi Tanaka, Jun Hasegawa, A Hybrid EP and SQP for Dynamic Economic Dispatch With Nonsmooth Fuel Cost Function, IEEE Transactions on Power Systems, Vol. 17, No. 2, May 2002, 411-416.
https://doi.org/10.1109/tpwrs.2002.1007911

T. Nikman, F. Golestaneh, Enhanced Adaptive Particle Swarm Optimisation Algorithm for Dynamic Economic Dispatch of Units Considering Valve-Point Effects and Ramp Rates, IET Generation, Transmission and Distribution, Vol. 6, Iss. 5, pp. 424-435, 2012, pp. 424-435.
https://doi.org/10.1049/iet-gtd.2011.0219

Yan Chen, Jinyu Wen, Lin Jiang, Shijie Cheng, Hybrid Algorithm for Dynamic Economic Dispatch With Valve-Point Effects, IET Generation, Transmission and Distribution, Vol. 7, Iss. 10, pp. 1096-1104, 2013.
https://doi.org/10.1049/iet-gtd.2012.0726

M.Q. Wang, H.B. Gooi, S.X. Chen, S. Lu, A Mixed Integer Quadratic Programming for Dynamic Dispatch with Valve Point Effect, IEEE Transactions on Power Systems, Vol. 29, No. 5, September 2014
https://doi.org/10.1109/pesgm.2015.7285846

Yang Liu, Nirmal-Kumar C. Nair, A Two-Stage Stochastic Dynamic Economic Dispatch Model Considering Wind Uncertainty, IEEE Transactions on Sustainable Energy, Vol. 7 , Issue: 2, April 2016, pp. 819-829.
https://doi.org/10.1109/tste.2015.2498614

Y. Z. Li ; Q. H. Wu, Downside Risk Constrained Probabilistic Optimal Power Flow With Wind Power Integrated, IEEE Transactions on Power Systems, Vol. 31, Issue : 2, March 2016.
https://doi.org/10.1109/tpwrs.2015.2412684

Min Xie, Jing Xiong, Shaojia Ke, Mingbo Liu, Two-Stage Compensation Algorithm for Dynamic Economic Dispatching Considering Copula Correlation of Multiwind Farms Generation, IEEE Transactions on Sustainable Energy, Vol. 8, Issue: 2, April 2017, 763-771.
https://doi.org/10.1109/tste.2016.2618939

Gang Liu ; Yong Li Zhu ; Wei Jiang, Wind-thermal dynamic economic emission dispatch with a hybrid multi-objective algorithm based on wind speed statistical analysis, IET Generation, Transmission & Distribution, Vol.12, Issue: 17, 2018, pp. 3972-3984
https://doi.org/10.1049/iet-gtd.2018.5364

C.Y. Chung, Wei Yan, Fang Liu, Decomposed Predictor-Corrector Interior Point Method for Dynamic Optimal Power Flow, IEEE Transactions on Power Systems, Vol. 26, No. 3, August 2011.
https://doi.org/10.1109/tpwrs.2010.2080326

Zhijun Qin, Yunhe Hou, En lu, Cheng Luo, Shijie Cheng, Solving Long Time Horizon Dynamic Optimal Power Flow of Large-Scale Power Grids with Direct Solution Method, IET Generation, Transmission and Distribution, Vol. 8, No.5, 2014.
https://doi.org/10.1049/iet-gtd.2013.0659

W. Uturbey, A. Simoes Costa, Dynamic Optimal Power Flow Approach to Account for Consumer Response in Short Term Hydrothermal Coordination Studies, IET Generation Transmission and Distribution, Vol. 1, No. 3, 2007.
https://doi.org/10.1049/iet-gtd:20060028

Nikman T, MR Narimani, J Ahgaei, S Tabatabaei, M Nayeripour, Modified Honey Bee Mating Optimization to Solve Dynamic Optimal Power Flow Considering Generator Constraints, IET Generation, Transmission and Distribution, Vol.5, No. 10, pp.989-1002, January 2011.
https://doi.org/10.1049/iet-gtd.2011.0055

Cheng Wang, Rui Gao, Feng Qiu, Jianhui Wang, Linwei Xin, Risk-Based Distributionally Robust Optimal Power Flow With Dynamic Line Rating, IEEE Transactions on Power Systems, Vol. 33, Issue: 6 , November. 2018, pp. 6074-6086.
https://doi.org/10.1109/tpwrs.2018.2844356

Jun Cao; W. Du; H. F. Wang, Weather-Based Optimal Power Flow With Wind Farms Integration, IEEE Transactions on Power Systems, Vol. 31, Issue: 4 , July 2016, pp. 3073-3081.
https://doi.org/10.1109/tpwrs.2015.2488662

Hossein Sharifzadeh, NimaAmjady, Hamidreza Zareipour, Multi-period stochastic security-constrained OPF considering the uncertainty sources of wind power, load demand and equipment unavailability, Electric Power Systems Research, Volume 146, May 2017, Pages 33-42.
https://doi.org/10.1016/j.epsr.2017.01.011

Rony Seto Wibowo ; Yoanes Bagus Nugraha ; Dimas Anton Asfani ; Ontoseno Penangsang; Ni Ketut Aryani, Security constrained dynamic optimal power flow with multiple energy storage, TENCON 2017 - IEEE Region 10 Conference, 2017.
https://doi.org/10.1109/tencon.2017.8228166

Thomas Morstyn, Branislav Hredzak, Vassilios G. Agelidis, Network Topology Independent Multi-Agent Dynamic Optimal Power Flow for Microgrids With Distributed Energy Storage Systems, IEEE Transactions on Smart Grid, Vol. 9, Issue: 4, July 2018, pp. 3419-3429.
https://doi.org/10.1109/tsg.2016.2631600

Wongdet, P., Leeton, U., Marungsri, B., Line Loss Reduction by Optimal Location of Battery Energy Storage System for the Daily Operation in Microgrid with Distributed Generations, (2018) International Journal on Energy Conversion (IRECON), 6 (3), pp. 83-89.
https://doi.org/10.15866/irecon.v6i3.15095

Gourma, A., Berdai, A., Reddak, M., Tytiuk, V., Reliability and Optimization Strategy in an Interconnected Network at a Wind Farm, (2018) International Review on Modelling and Simulations (IREMOS), 11 (2), pp. 76-83.
https://doi.org/10.15866/iremos.v11i2.13596

Simon Gill, Ivana Kockar, Graham W. Ault, Dynamic Optimal Power Flow for Active Distribution Networks, IEEE Transactions on Power Systems, Vol. 29, No. 1, January 2014.
https://doi.org/10.1109/tpwrs.2013.2279263

Rony Seto Wibowo, Nursidi, I.G.N. Satriyadi Hernanda, D.F. Uman Putra, Adi Soeprijanto, Ontoseno Penangsang, Dynamic Optimal Power Flow using Quadratic Programming, in Proc. 2013 Information Technology and Electrical Engineering (ICITEE) Conf., pp. 360-364.
https://doi.org/10.1109/iciteed.2013.6676268

Sangwato, S., Oonsivilai, A., Optimal Power Flow with Interline Power Flow Controller Using Hybrid Genetic Algorithm, (2015) International Review of Electrical Engineering (IREE), 10 (6), pp. 727-733.
https://doi.org/10.15866/iree.v10i6.7568

Mezhoud, N., Leulmi, S., Boukadoum, A., AC-DC Optimal Power Flow Incorporating Shunt FACTS Devices Using HVDC Model and Particle Swarm Optimization Method, (2014) International Review of Electrical Engineering (IREE), 9 (2), pp. 382-392.

Partha P. Biswasa, P.N. Suganthan, R. Mallipeddi, Gehan A.J. Amaratunga, Optimal power flow solutions using differential evolution algorithm integrated with effective constraint handling techniques, Engineering Applications of Artificial Intelligence, Vol. 68, Pages 81-100, February 2018.
https://doi.org/10.1016/j.engappai.2017.10.019

Salkuti Surender Reddy, Ch Srinivasa Rathnam, Optimal Power Flow using Glowworm Swarm Optimization, International Journal of Electrical Power & Energy Systems Volume 80, September 2016, Pages 128-139.
https://doi.org/10.1016/j.ijepes.2016.01.036

Wenlei Bai, Ibrahim Eke, Kwang Y.Lee, An improved artificial bee colony optimization algorithm based on orthogonal learning for optimal power flow problem, Control Engineering Practice Vol. 61, April 2017, Pages 163-172.
https://doi.org/10.1016/j.conengprac.2017.02.010

Mojtaba Ghasemi, Sahand Ghavidel, Mohsen Gitizadeh, EbrahimAkbari, An improved teaching–learning-based optimization algorithm using Lévy mutation strategy for non-smooth optimal power flow, International Journal of Electrical Power & Energy Systems Volume 65, February 2015, Pages 375-384.
https://doi.org/10.1016/j.ijepes.2014.10.027

Al-Attar AliMohamed, Yahia S.Mohamed, Ahmed A.M.El-Gaafary, Ashraf M.Hemeida, Optimal power flow using moth swarm algorithm, Electric Power Systems Research, Volume 142, January 2017, Pages 190-206.
https://doi.org/10.1016/j.epsr.2016.09.025

R. D. Zimmerman, C. E. Murillo-Sanchez, and R. J. Thomas, MATPOWER: Steady-State Operations, Planning and Analysis Tools for Power Systems Research and Education, IEEE Transactions on Power Systems, vol. 26, no. 1, pp. 12–19, Feb. 2011.
https://doi.org/10.1109/tpwrs.2010.2051168

Jackson, R., Zulkifli, S., Badrul Sham, N., Power Flow Control Scheme for Hybrid Single-Phase Energy System Using Droop Control: a Comprehensive Survey, (2018) International Review of Electrical Engineering (IREE), 13 (4), pp. 305-315.
https://doi.org/10.15866/iree.v13i4.15418

Chinchilla-Guarín, J., Montaño-Salamanca, W., Rosero Garcia, J., Assessment of Dynamic Line Rating and Photovoltaic Generation Integration and its Impact on Energy Dispatch, (2018) International Review on Modelling and Simulations (IREMOS), 11 (2), pp. 51-58.
https://doi.org/10.15866/iremos.v11i2.13005


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