Optimal Power Flow Simulation Using Linear Programming
DOI:
https://doi.org/10.18486/ijcsnt/9.1.112Keywords:
Optimal Power Flow, Reactive Power, Economy, Reliability, Power World Simulator, IEEE-14 Bus SystemAbstract
This work is based on the application of Linear programming tool. to find the technically high quality power supply with minimum cost. The idea is to dispatch the economical power by predicting the dispatch in such a way that the minimum generation of the cost is allowed and at the same time the allowed range of voltage is maintained along with limitations of upper and lower reactive power and current carrying capacity of the conductors is also taken care of. The entire power flow is digitally controlled with the Power World Simulation. The global power standards are maintained. The power generation is kept green as far as possible. The most important criteria is uninterrupted power supply in odd circumstances. The economy and uninterrupted power supply conditions are modelled mathematically and these equations are solved using Linear Programming. This minimizes the cost of generation of power. The PWT uses linear programming to work out the optimal power flow. The is solution is based on finding the operating point that keeps the minimum cost and still maintaining all the parameters of the power. This paper focuses on generating world class power supply at most conomical level. The very objective this work is to workout the OPF of IEEE-14 Bus System.
References
Li H, Trinh WC, Wert JL et al. Applications of dc power flow based power system dynamic simulations. Technical report, University of Birmingham, 2020. Downloaded from IEEE Xplore on May 10, 2020. DOI: https://doi.org/10.1109/TPEC48276.2020.9042505
Eghbalpour H. Application of Distributed Optimization Technique for Large-Scale Optimal Power Flow Problem. Master’s Thesis, Memorial University of Newfoundland, St. John’s, Newfoundland and Labrador, Canada, 2019.
Abdullah M and Javaid N. Multi-objective optimal power flow using improved multi-objective multiverse algorithm. In Proceedings of the International Conference. Springer, 2019. pp. 1071–1081. DOI:10.1007/978-3-030-15035-8 104. DOI: https://doi.org/10.1007/978-3-030-15035-8_104
Abdullah M, Javaid N, Khan IU et al. Optimal power flow with uncertain renewable energy sources using flower pollination algorithm. In Proceedings of the International Conference. Springer, 2019. DOI:10.1007/978-3-030-15032-7 8. DOI: https://doi.org/10.1007/978-3-030-15032-7_8
Huneault M and Galiana FD. A survey of the optimal power flow literature. IEEE Transactions on Power Systems 1991; 6(2): 726–734.
Stott B, Alsac O and Monticelli AJ. Security analysis and optimization. Proceedings of the IEEE 1987; 75(12): 1623–1644.
Dommel H and Tinney WF. Optimal power flow solutions. IEEE Transactions on Power Apparatus and Systems 1968; 87(10): 1866–1876. DOI: https://doi.org/10.1109/TPAS.1968.292150
Yan P and Sekar A. Study of linear model in steady state load flow analysis of power systems. In IEEE Conference Proceedings.
Stagg GW and El-Abiad AH. Computer Methods in Power System Analysis. New York: McGraw-Hill, 1968.
Huneault M and Galiana FD. A survey of the optimal power flow literature. IEEE Transactions on Power Systems 1991; 6(2): 726–734. DOI: https://doi.org/10.1109/59.76723
Stott B, Alsac O and Monticelli AJ. Security analysis and optimization. Proceedings of the IEEE 1987; 75(12): 1623–1644. DOI: https://doi.org/10.1109/PROC.1987.13931
Yan P and Sekar A. Study of linear model in steady state load flow analysis of power systems. In IEEE Conference Proceedings.
Stevenson WD. Elements of Power System Analysis. 4 ed. New York: McGraw-Hill, 1988.
Downloads
Published
Issue
Section
License
Copyright (c) 2020 Abhijeet Singh Patel, Shishir Dixit
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
