Optimizing the Electric Power System Operation Mode under the Conditions of Emergency Power Line Outages and at Peak Loads Using FACTS and Demand Response Programs

  • Arif M. HASHIMOV
  • Nariman R. RAHMANOV
Keywords: emergency outages, peak load, multi-objective function, power system loading capacity, shunt and series FACTS devices, demand response program, static stability, power loss

Abstract

Modern electric power systems are characterized by frequent changes of operating parameters and circuit configurations caused by random factors, which may entail emergency outages of its main elements – generators and power lines Under these conditions, to cover a demand, for example, during peak load periods, in a power system having a limited reserve of generating capacity, additional technical measures will be necessary to simultaneously maximize power transmission and increase the power system static stability limit. The article proposes a multi-purpose approach to optimizing the power system operation mode under the conditions of power line failures and changes in demand during peak load periods. The optimization problem is technically solved by applying modern compensating means, including series and shunt FACTS devices, as well as demand response programs. The solution of the multi-purpose optimization problem makes it possible to study the impact of possible power line failures on the capacity of compensating devices and the choice of the degree of response to demand, as well as the associated costs in case of various load changes during peak periods. The development and application of various strategies for selecting suitable multi-purpose functions ensures simultaneous improvement of the technical and economic indicators of the power system operating in a competitive market. The use of evolutionary methods to solve multi-purpose optimization problems makes it possible to obtain more flexible management of compensation devices and the software implementation of demand response in the power system. Simulation computer programs have been developed in the MATLAB and PSAT environments using the IEEE 30-bus test system.

Author Biographies

Arif M. HASHIMOV

(Institute of Physics Ministry of Science and Education of Azerbaijan Republic, Baku, Azerbaijan) –First Vice-President, General Director, Academician, National Academy of Science
of Azerbaijan (NASA), Dr. Sci. (Eng.).

Nariman R. RAHMANOV

(Azerbaijan Scientific-Research and Design-Prospecting Institute of Energy, Baku, Azerbaijan) – Chief Researcher, Dr. Sci. (Eng.), Professor.

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1. Althowibi F.A., Mustafa M.W. Maximum Power System Loadability to Detect Voltage Collapse. – 4th International Power Engineering and Optimization Conference, 2010, pp. 49–52, DOI:10.1109/PEOCO.2010.5559231.
2. Bazmi A.A., Zahedi G. Sustainable Energy Systems: Role of Optimization Modeling Techniques in Power Generation and Supply – A Review. – Renewable and Sustainable Energy Review, 2011, 15(8), pp. 3480–3500, DOI:10.1016/j.rser.2011.05.003.
3. Rahmanov N.R., Guliev G.B. Elektrichestvo – in Russ. (Electricity), 2015, No. 4, pp. 4–11.
4. Gao H. et al. Real-Time Long-Term Voltage Stability Assessment Based on eGBDT for Large-Scale Power System with High Renewables Penetration. – Electric Power Systems Research, 2023, vol. 214(6), DOI:10.1016/j.epsr.2022.108915.
5. Rahmanov N.R. et al. Method for Assessing the Voltage Stability Limit During Emergency Outages of the Line and Generators in the Power System. – Rudenko International Conference on Methodological Problems in Reliability Study of Large Energy Systems, 2019, vol. 139, DOI: 10.1051/e3sconf/201913901020.
6. Khazali A.H., Kalantar M. Reactive /Voltage control by A Multi-Agent based PSO approach considering voltage stability. – 24th International Power System Conference, Tehran, 2009, pp. 1–8.
7. Hosseini H., Banaei M.R. Performance of Active Power Line Conditioner for Loss Reduction in the Power Distribution System. – IEEE Region 10 Conference TENCON, 2004, pp. 97–100, DOI:10.1109/TENCON.2004.1414877.
8. Hashimov A.M., Guliev G.B., Rahmanov N.R. Energetika. Izvestiya vysshih uchebnyh zavedeniy i energeticheskih ob"edineniy SNG – in Russ. (Power Industry. News of Higher Educational Institutions and Energy Associations of the CIS), 2014, No. 2, pp. 29–39.
9. Devi S., Geethajali M. Optimal Location and Sizing Determination of Distributed Generation and DSTATCOM using Particle Swarm Optimization Algorithm. – Elsevier International Journal of Electrical Power and Energy Systems, 2014, vol. 62. pp. 562–570, DOI:10.1016/j.ijepes.2014.05.015.
10. Elsheikh A.M.F. et al. Optimal Capacitor Placement and Sizing in Radial Electric Power Systems. – Alexandria Engineering Journal, 2014, vol 53(4), pp. 809–816, DOI:10.1016/j.aej.2014.09.012.
11. Mohamad Imran A., Kowsalya M. Optimal Distributed Generation and Capacitor Placement in Power Distribution Network for Power Loss Minimization. – International Conference on Advances in Electrical Engineering (ICAEE), 2014, DOI:10.1109/ICAEE.2014.6838519.
12. Hashimov А.М. et al. Energetika. Izvestiya vysshih uchebnyh zavedeniy i energeticheskih ob"edineniy SNG – in Russ. (Power Industry. News of Higher Educational Institutions and Energy Associations of the CIS), 2016, No. 6. pp. 519–528.
13. Maronani I. et al. Optimized FACTS Devices for Power System Enhancement: Applications and Solving Methods. – Sustainability, 2023, vol. 15(12), DOI:10.3390/su15129348.
14. Rashed G.I., Shaheen H.I., Cheng S.J. Optimal Location and Parameter Settings of Multiple TESC for Increasing Power System Loadability Based on GA and PSO Techniques. – The 3rd International Conference on Natural Computation (ICNC), 2007, DOI:10.1109/ICNC.2007.521.
15. Hashimov A.M. et al. Probabilistic Evaluation of Voltage Stability Limit of Power System under the Conditions of Accidental Emergency Outages of Lines and Generators. – International Journal on Technical and Physical Problems of Engineering, 2020, iss. 43, vol. 12, No. 2, pp. 40–45.
16. Song Y., Hill D.J., Liu T. Static Voltage Stability Analysis of Distribution Systems Based on Network – Load Admittance Ratio. – IEEE Transactions on Power Systems, 2019, 34(3), pp. 2270–2280, DOI:10.1109/TPWRS.2018.2886636.
17. Sun X. et al. Sustainable Energy Transition in China: Renewable Options and Impacts on the Electricity System. – Energies, 2016, 9(12), DOI:10.3390/en9120980.
18. Renedek J., Tihamer S., Bartok B. Evaluation of Renewable Energy Sources in Peripheral Areas and Renewable Energy – Based Rural Development. – Renewable and Sustainable Energy Reviews, 2018, 90(7), pp. 516–535, DOI:10.1016/j.rser.2018.03.020.
19. Spiegel T. Impact of Renewable Energy Expansion to the Balancing Energy Demand of Differential Balancing Groups. – Journal of Sustainable Development of Energy, Water and Environmental Systems, 2018, vol.6(4), pp. 784–799, DOI:10.13044/j.sdewes.d6.0215.
20. Gaete-Morales C. et al. A Novel Framework for Development and Optimization of Future Electricity Scenarios with High Penetration of Renewables and Storage. – Applied Energy, 2019, vol. 250, pp. 1657–1672, DOI:10.1016/j.apenergy.2019.05.006.
21. Mladenov V., Chobanov V., Georgiev A. Impact of Renewable Energy Sources on Power System Flexibility Requirements. – Energies, 2021, 14(10), DOI:10.3390 /en 14102813.
22. Shadmesgaran M.R., Hashimov A.M., Rahmanov N.R. A Glance of the Optimal Control Effects on Technical and Economic Operation in GRID. – International Journal on Technical and Physical Problems of Engineering, 2020, iss. 45, vol. 12, No. 4, pp. 1–10.
23. Salami Y., Ieyasurya B. A Comprehensive Evaluation of DC Power Flow Models and their Application to Power Systems Security Analysis. – CIGRE Canada Conference, Vancouver, BC, 2016, 753, pp. 1-8. Methods to mitigate or avoid power outages.
24. Power Systems Test Case Archive [Электрон. ресурс], URL: https://labs.ece.uw.edu/pstca (дата обращения 15.02.2024)
Published
2024-04-25
Section
Article