Assessment of a Multiperiod Optimal Power Flow for Power System Operation
(*) Corresponding author
DOI: https://doi.org/10.15866/iree.v15i6.18304
Abstract
The optimal power flow is an important tool for power system planning and power system operation. It is used in a 24-hour period to find an economic dispatch of generating units considering network restrictions. The optimal power flow provides valuable information about the operation cost, the transmission flows, the generation and the congestion in the system. This information is used by generators, planners, operators and regulators in order to analyze and take decisions about the system at short and long term. The first one corresponds to the information for the operation. The second one corresponds to the information for the planning. This paper proposes a detailed optimal power flow formulation looking for a minimum cost of generation considering wind generation. Five solvers (CBC, CLP, CPLEX, Gurobi and GLPK.) have been used in order to compare differences between them. These solvers are commonly used to solve the multiperiod DC optimal power flow. An IEEE-24 test system is used to compare the solutions provided by the solvers. The findings reveal significant differences between the solvers when they are used to solve the IEEE-24 test system. Additionally, the computing time for each solver is reported. The solvers CPLEX and Gurobi show the lowest computational time to find a solution.
Copyright © 2020 Praise Worthy Prize - All rights reserved.
Keywords
Full Text:
PDFReferences
Al Hasibi, R., Hadi, S., Sarjiya, S., Multi-Objective Optimization of Integrated Power System Expansion Planning with Renewable Energy-Based Distributed Generation, (2019) International Review of Electrical Engineering (IREE), 14 (1), pp. 19-31.
https://doi.org/10.15866/iree.v14i1.16082
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
Lakdja, F., Abdeslam, D., Gherbi, F., Optimal Location of Thyristor-Controlled Series Compensator for Optimal Power Flows, (2013) International Review on Modelling and Simulations (IREMOS), 6 (2), pp. 465-472.
R.A. Jabr. Adjustable robust OPF with renewable energy sources. IEEE Trans Power Syst, vol. 28 n. 4, 2013, pp 4742–4751.
https://doi.org/10.1109/tpwrs.2013.2275013
A. Castillo, X. Jiang, D.F. Gayme. Lossy DCOPF for optimizing congested grids with renewable energy and storage. Proceedings of the American Control Conference. Institute of Electrical and Electronics Engineers Inc. June 4-6, 2014, Portland, OR, United States.
https://doi.org/10.1109/acc.2014.6859489
T. Geetha, V. Jayashankar. Generation dispatch with storage and renewables under availability-based tariff. IEEE Region 10 Annual International Conference TENCON. 2008.
https://doi.org/10.1109/tencon.2008.4766804
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
Varanasi, J., Tripathi, M., Performance Comparison of Generalized Regression Network, Radial Basis Function Network and Support Vector Regression for Wind Power Forecasting, (2019) International Review on Modelling and Simulations (IREMOS), 12 (1), pp. 16-23.
https://doi.org/10.15866/iremos.v12i1.15781
Srivastava, A., Bajpai, R., An Efficient Maximum Power Extraction Algorithm for Wind Energy Conversion System Using Model Predictive Control, (2019) International Journal on Energy Conversion (IRECON), 7 (3), pp. 93-107.
https://doi.org/10.15866/irecon.v7i3.17403
A. Castillo, D. F. Gayme. Evaluating the effects of real power losses in optimal power flow-based storage integration. IEEE Transactions on Control of Network Systems, vol 5, n. 3. Sep 2018, pp 1132–1145.
https://doi.org/10.1109/tcns.2017.2687819
Sharifzadeh H, Amjady N, Zareipour H. Multi-period stochastic security-constrained OPF considering the uncertainty sources of wind power, load demand and equipment unavailability. Electric Power Systems Research, vol. 146, n. 5. May 2017, pp. 33–42.
https://doi.org/10.1016/j.epsr.2017.01.011
Boonchuay, K. Tomsovic, F. Li, W. Ongsakul. Robust optimization-based DC optimal power flow for managing wind generation uncertainty. AIP Conference Procedings, vol 1499, n. 1. May 2014, pp 31–35.
https://doi.org/10.1063/1.4768966
Rahmat Azami MSJ and GH. Economic load Dispatch and DC-Optimal Power Flow Problem-PSO versus LR. International Journal of Multidisciplinary Sciences and Engineering, vol. 2, n. 9. Dec 2011, pp 8–13.
A. Soroudi. Power System Optimization Modeling in GAMS. (Springer International Publishing, 2017).
R. A. Jabr, S. Karaki, J. A. Korbane. Robust Multi-Period OPF with Storage and Renewables. IEEE Transactions on Power Systems, vol. 30 n. 5. Sep 2015, pp. 2790–2799.
https://doi.org/10.1109/tpwrs.2014.2365835
B. Eldridge, R. O’Neill, A. Castillo. An Improved Method for the DCOPF with Losses. IEEE Transactions on Power Systems vol. 33, n. 4. July 2018, pp. 3779–3788.
https://doi.org/10.1109/tpwrs.2017.2776081
P. Maghouli, A. Soroudi, A. Keane. Robust computational framework for mid-term techno-economical assessment of energy storage. IET Generation, Transmission & Distribution, vol. 10 n. 3. Feb 2016, pp. 822–831.
https://doi.org/10.1049/iet-gtd.2015.0453
Hafez, A., AlSadi, S., Nassar, Y., Chaotic Optimization Versus Genetic Algorithm for Optimal Tuning of Static Synchronous Series Compensator Stabilizing Controller, (2019) International Review of Electrical Engineering (IREE), 14 (3), pp. 159-172.
https://doi.org/10.15866/iree.v14i3.16163
Mmary, E., Marungsri, B., Multiobjective Optimization of Renewable Distributed Generations in Radial Distribution Networks with Optimal Power Factor, (2018) International Review of Electrical Engineering (IREE), 13 (4), pp. 297-304.
https://doi.org/10.15866/iree.v13i4.15069
Adam, K., Miyauchi, H., Optimization of a Photovoltaic Hybrid Energy Storage System Using Energy Storage Peak Shaving, (2019) International Review of Electrical Engineering (IREE), 14 (1), pp. 8-18.
https://doi.org/10.15866/iree.v14i1.16162
Oloulade, A., Moukengue, A., Vianou, A., Multi-Criteria Optimization of the Functionning of a Distribution Network in Normal Operating Regime, (2018) International Review of Electrical Engineering (IREE), 13 (4), pp. 290-296.
https://doi.org/10.15866/iree.v13i4.14401
doi: https://doi.org/10.15866/iree.v13i4.14401
Hassoune, A., Khafallah, M., Mesbahi, A., Benaaouinate, L., ouragba, T., Control Strategies of a Smart Topology of EVs Charging Station Based Grid Tied RES-Battery, (2018) International Review of Electrical Engineering (IREE), 13 (5), pp. 385-396.
https://doi.org/10.15866/iree.v13i5.15520
Moreno, R. Identification of Topological Vulnerabilities for Power Systems Networks. In 2018 IEEE Power & Energy Society General Meeting (PESGM), pp. 1-5.
https://doi.org/10.1109/pesgm.2018.8586143
Moreno-Chuquen, R., Obando-Ceron, J., Network Topological Notions for Power Systems Security Assessment, (2018) International Review of Electrical Engineering (IREE), 13 (3), pp. 237-245.
https://doi.org/10.15866/iree.v13i3.14210
Khemmook, P., Khomfoi, S., Transient Stability Improvement Using Coordinated Control of Solar PVs and Solid State Transformers, (2018) International Review of Electrical Engineering (IREE), 13 (6), pp. 486-494.
https://doi.org/10.15866/iree.v13i6.15869
Omar, A., Ali, Z., Abdel Aleem, S., Abou-El-Zahab, E., Sharaf, A., A Dynamic Switched Compensation Scheme for Grid-Connected Wind Energy Systems Using Cuckoo Search Algorithm, (2019) International Journal on Energy Conversion (IRECON), 7 (2), pp. 64-74.
https://doi.org/10.15866/irecon.v7i2.16895
Mauledoux, M., Valencia, A., Avilés, O., Genetic Algorithm Optimization for DC Micro Grid Design, a Case of Study, (2017) International Review of Electrical Engineering (IREE), 12 (4), pp. 318-323.
https://doi.org/10.15866/iree.v12i4.11544
Jabri, M., Aloui, H., Genetic Lagrangian Relaxation Selection Method for the Solution of Unit Commitment Problem, (2019) International Journal on Engineering Applications (IREA), 7 (2), pp. 59-64.
https://doi.org/10.15866/irea.v7i2.17022
Prodromidis, G., Tsiaras, E., Coutelieris, F., Autonomous Buildings with Electricity by Renewables, (2018) International Journal on Energy Conversion (IRECON), 6 (5), pp. 153-159.
https://doi.org/10.15866/irecon.v6i5.15919
Rizk-Allah, R., Abdel Mageed, H., El-Sehiemy, R., Abdel Aleem, S., El Shahat, A., A New Sine Cosine Optimization Algorithm for Solving Combined Non-Convex Economic and Emission Power Dispatch Problems, (2017) International Journal on Energy Conversion (IRECON), 5 (6), pp. 180-192.
https://doi.org/10.15866/irecon.v5i6.14291
Syahputra, R., Robandi, I., Ashari, M., Performance Improvement of Radial Distribution Network with Distributed Generation Integration Using Extended Particle Swarm Optimization Algorithm, (2015) International Review of Electrical Engineering (IREE), 10 (2), pp. 293-304.
https://doi.org/10.15866/iree.v10i2.5410
Muthukumar, K., Jayalalitha, S., Ramaswamy, M., PSO Embedded Artificial Bee Colony Algorithm for Optimal Shunt Capacitor Allocation and Sizing in Radial Distribution Networks with Voltage Dependent Load Models, (2015) International Review of Electrical Engineering (IREE), 10 (2), pp. 305-320.
https://doi.org/10.15866/iree.v10i2.5481
Moreno, R., Obando, J., Gonzalez, G., An integrated OPF dispatching model with wind power and demand response for day-ahead markets, (2019) International Journal of Electrical and Computer Engineering (IJECE), 4 (4), pp. 2794-2802.
https://doi.org/10.11591/ijece.v9i4.pp2794-2802
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
Obando, J., Gonzalez, G., Moreno, R., Quantification of operating reserves with high penetration of wind power considering extreme values, (2020) International Journal of Electrical and Computer Engineering (IJECE), 10 (2), pp. 1693-1700.
https://doi.org/10.11591/ijece.v10i2.pp1693-1700
J. Yi-Xiong, C. Hao-Zhong, Y. Jian-yong, Z. Li, New discrete method for particle swarm optimization and its application in transmission network expansion planning, Electric Power Systems Research, vol. 77 n. 3-4, 2007, pp. 227-233.
https://doi.org/10.1109/tdc.2005.1546847
COIN-OR Branch and Cut Interface Julia package. Accessed on Aug. 4, 2019. [Online].
Available: https://github.com/JuliaOpt/Cbc.jl
COIN-OR Linear Programming Interface Julia package. Accessed on Aug. 5, 2019. [Online].
Available: https://github.com/JuliaOpt/Clp.jl
IBM ILOG CPLEX Optimization Studio V12.9.0 documentation. Accessed on Aug. 4, 2019. [Online]. Available:
https://www.ibm.com/support/knowledgecenter/SSSA5P_12.9.0/ilog.odms.studio.help/Optimization_Studio/topics/COS_home.html
The GUROBI Manual. Accessed on August 5, 2019. [Online]. Available:
https://www.gurobi.com/documentation/8.1/refman/index.html
Julia GNU Linear Programming Kit (GLPK) package. Accessed on August 5, 2019. [Online].
Available: https://github.com/JuliaOpt/GLPK.jl
Julia for Mathematical Optimization (JuMP) package. Accessed on Aug. 4, 2019. [Online].
Available: http://www.juliaopt.org/JuMP.jl/v0.19.0
Refbacks
- There are currently no refbacks.
Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize