Real-time optimal power flow solution for wind farm integrated power system using evolutionary programming algorithm
Tóm tắt
In order to satisfy the increasing demand for electricity, a huge burden is levied on the conventional coal-fired thermal power generation units, which affects the environment and human health adversely. To tackle this problem, the clean renewable sources of energy have gained more attention. With time, wind power is expected to contribute more significantly and should be used as much as possible. This has provided much focus to the wind farm integrated power system. But, the unsteady behavior of wind energy has made the operation of wind farm integrated power system more complex. Scenario generation methods are used for tackling the unsteady behavior of wind energy. A persistence method of scenario generation is proposed for solving real-time optimal power flow problem in wind farm integrated power system. The proposed persistence method performs better compared to other recent methods in the literature.
Tài liệu tham khảo
Abedi A, Rahimiyan M (2020) Day-ahead energy and reserve scheduling under correlated wind power production. Int J Electron Power Energy Syst. https://doi.org/10.1016/j.ijepes.2020.105931
AEMO (2020) https://aemo.com.au/. Accessed 06.07.2020
Attaviriyanupap P, Kita H, Tanaka E, Hasegawa J (2002) A Hybrid EP and SQP for dynamic economic dispatch with nonsmooth fuel cost function. IEEE Trans Power Syst 17(2):411–416. https://doi.org/10.1109/TPWRS.2002.1007911
Bacher R, Van Meeteren HP (1988) Real-time optimal power flow in automatic generation control. IEEE Trans Power Syst 3(4):1518–1529. https://doi.org/10.1109/59.192961
Bao H, Wei H (2014) Probabilistic optimal power flow computation in power systems including large-scale wind farms based on unscented transformation. Dianli Xitong Zidonghua/Autom Electric Power Syst 38(12):46–53. https://doi.org/10.7500/AEPS20130821007
Baringo L, Conejo AJ (2013) Correlated wind-power production and electric load scenarios for investment decisions. Appl Energy 101:475–482. https://doi.org/10.1016/j.apenergy.2012.06.002
Cao J, Yan Z (2017) Probabilistic optimal power flow considering dependences of wind speed among wind farms by pair-copula method. Int J Electr Power Energy Syst 84:296–307. https://doi.org/10.1016/j.ijepes.2016.06.008
Cao J, Du W, Wang HF (2016) Weather-based optimal power flow with wind farms integration. IEEE Trans Power Syst 31(4):3073–3081. https://doi.org/10.1109/tpwrs.2015.2488662
Carrizosa MJ, Navas FD, Damm G, Lamnabhi-Lagarrigue F (2015) Optimal power flow in multiterminal HVDC grids with offshore wind farms and storage devices. Int J Electr Power Energy Syst 65:291–298. https://doi.org/10.1016/j.ijepes.2014.10.016
Cheng W, Cheng R, Shi J, Zhang C, Sun G, Hua D (2018) Interval power flow analysis considering interval output of wind farms through affine arithmetic and optimizing scenarios method. Energies 11(11):1–23. https://doi.org/10.3390/en11113176
Chowdhury BH, Swan L, Clark D (1993) Expert system as a system operator’s aid in real-time solutions of the optimal power flow. Electr Power Syst Res 26(1):21–30. https://doi.org/10.1016/0378-7796(93)90065-m
Devi PB, Shunmugalatha A (2015) Reactive power cost estimation in wind farms using hybridized iterative optimal power flow estimation and a novel load tracing. J Comput Theor Nanosci 12(12):5253–5264. https://doi.org/10.1166/jctn.2015.4511
Fogel DB (1995) Evolutionary computation: toward a new philosophy in machine intelligence. Wiley, Hoboken
Jadhav HT, Roy R (2015) Stochastic optimal power flow incorporating offshore wind farm and electric vehicles. Int J Electron Power Energy Syst 69:173–187. https://doi.org/10.1016/j.ijepes.2014.12.060
Jiang D, Xu X, Liu T, Chen Z, Wang F, Li X, Yin Z (2013) Security-constrained optimal power flow of power grid connected with wind farms considering corrective control. Dianwang Jishu/Power Syst Technol 37(1):172–177
Kim S, Yokoyama A, Takaguchi Y, Takano T, Mori K, Izui Y (2019) Small-signal stability-constrained optimal power flow analysis of multiterminal VSC-HVDC systems with large-scale wind farms. IEE J Trans Electron Electron Eng 14(7):1033–1046. https://doi.org/10.1002/tee.22898
Kimura R (2002) Numerical weather prediction. J Wind Eng Ind Aerodyn 90(12–15):1403–1414. https://doi.org/10.1016/s0167-6105(02)00261-1
Li X, Cao J, Du D (2013) Two-point estimate method for probabilistic optimal power flow computation including wind farms with correlated parameters. Commun Comput Inf Sci 355:417–423. https://doi.org/10.1007/978-3-642-37105-9_46
Li Y, Sun G, Yang Y, Huang W, Wei Z, Sun Y (2015) Probabilistic optimal power flow of AC/DC system with offshore wind farm connected to grid via VSC-HVDC Dianli Zidonghua Shebei. Electron Power Autom Equip 35(9):136–142. https://doi.org/10.16081/j.issn.1006-6047.2015.09.022
Lin J, Li VOK, Leung KC, Lam AYS (2017) Optimal power flow with power flow routers. IEEE Trans Power Syst 32(1):531–543. https://doi.org/10.1109/tpwrs.2016.2542678
Mohagheghi E, Gabash A, Li P (2016) Real-time optimal power flow under wind energy penetration-part II: Implementation. EEEIC—International conference environment and electrical engineering. Article number 7555465. https://doi.org/10.1109/eeeic.2016.7555465
Mohagheghi E, Gabash A, Li P (2017) A framework for real-time optimal power flow under wind energy penetration. Energies 10(4):1. https://doi.org/10.3390/en10040535
Pai MA, Chatterjee D (1996) Computer techniques in power system analysis, 3rd edn. McGraw Hill, New York City
Panda A, Tripathy M (2016) Solution of wind integrated thermal generation system for environmental optimal power flow using hybrid algorithm. J Electr Syst Inform Technol 3:151–160. https://doi.org/10.1016/j.jesit.2016.01.004
Partha PB, Suganthan PN, Qu BY, Amaratunga GA (2018) Multiobjective economic-environmental power dispatch with stochastic wind-solar-small hydro power. Energy 150:1039–1057. https://doi.org/10.1016/j.energy.2018.03.002
Raj MD, Muthuselvan NB, Somasundaram P (2014) Swarm-inspired artificial bee colony algorithm for solving optimal power flow with wind farm. Arab J Sci Eng 39(6):4775–4787. https://doi.org/10.1007/s13369-014-1084-9
Shargh S, Khorshid ghazani B, Mohammadi-ivatloo B, Seyedi H, Abapour M (2016) Probabilistic multi-objective optimal power flow considering correlated wind power and load uncertainties. Renew. Energy 94:10–21. https://doi.org/10.1016/j.renene.2016.02.064
Sharif SS, Taylor JH, Hill EF, Scott B, Daley D (2000) Real-time implementation of optimal reactive power flow. IEEE Power Eng Rev 20(8):47–51. https://doi.org/10.1109/39.857454
Siano P, Cecati C, Yu H, Kolbusz J (2012) Real time operation of smart grids via FCN networks and optimal power flow. IEEE Trans Ind Inf 8(4):944–952. https://doi.org/10.1109/tii.2012.2205391
Tang Y, Dvijotham K, Low S (2017) Real-time optimal power flow. IEEE Trans Smart Grid 8(6):2963–2973. https://doi.org/10.1109/TSG.2017.2704922
Wind energy (2020). https://anero.id/energy/wind-energy. Accessed 06.07.2020
Yan Z, Xu Y (2020) Real-time optimal power flow: A lagrangian based deep reinforcement learning approach. IEEE Trans Power Syst 35(4):3270–3273. https://doi.org/10.1109/tpwrs.2020.2987292
Yan J-J, Hung M-L, Liao T-L (2008) An EP algorithm for stability analysis of interval neutral delay-differential systems. Expert Syst Appl 34(2):920–924. https://doi.org/10.1016/j.eswa.2006.10.025
Yang Z, Mu L, Liu Z (2016) Optimal power flow of wind farm grid-connected system based on VSC-HVDC. Dianli Xitong Baohu yu Kongzhi/Power Syst Protect Control 44(12):36–41. https://doi.org/10.7667/PSPC151253
Zhang Q, Wei Z, Xu J, Sun G, Zang H, He T (2017) Linearized optimal power flow calculation of power systems with large scale wind farm. Dianli Jianshe/Electric Power Construct 38(10):93–98. https://doi.org/10.3969/j.issn.1000-7229.2017.10.013
Zhou B, Yi Y, Zhang Y, Huang T (2017) Real-time slack optimal method for voltage and reactive control between provincial and prefectural power networks in heavy load flow mode. Dianli Xitong Zidonghua/Autom Electric Power Syst 41(11):126–133. https://doi.org/10.7500/AEPS20160727010
Zhu J, Zhang Y, Chen H (2019) A frequency and duration analysis method for probabilistic optimal power flow with wind farms. IEE J Trans Electron Electron Eng 14(5):680–693. https://doi.org/10.1002/tee.22855