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Review Articles

PALONN: Parallel Ant Lion Optimizer and Artificial Neural Network for Power Flow Control of the Micro Grid-Connected System

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References

  • S. Dasgupta, S. Mohan, S. Sahoo, and S. Panda, “Lyapunov function-based current controller to control active and reactive power flow from a renewable energy source to a generalized three-phase microgrid system,” IEEE Trans. Ind. Electron., Vol. 60, no. 2, pp. 799–813, Feb. 2013. doi: 10.1109/TIE.2012.2206356
  • Y. Levron, J. Guerrero, and Y. Beck, “Optimal power flow in microgrids with energy storage,” IEEE Trans. Power Syst., Vol. 28, no. 3, pp. 3226–34, Aug. 2013. doi: 10.1109/TPWRS.2013.2245925
  • A. Radwan, and Y. Mohamed, “Linear active stabilization of converter-dominated DC microgrids,” IEEE Trans. Smart Grid, Vol. 3, no. 1, pp. 203–16, Mar. 2012. doi: 10.1109/TSG.2011.2162430
  • S. Conti, R. Nicolosi, and S. Rizzo, “Generalized systematic approach to assess distribution system reliability with renewable distributed generators and microgrids,” IEEE Trans. Power Delivery, Vol. 27, no. 1, pp. 261–70, Jan. 2012. doi: 10.1109/TPWRD.2011.2172641
  • S. Arefifar, Y. Mohamed, and T. El-Fouly, “Supply-adequacy-based optimal construction of microgrids in smart distribution systems,” IEEE Trans. Smart Grid, Vol. 3, no. 3, pp. 1491–502, Sep. 2012. doi: 10.1109/TSG.2012.2198246
  • M. Abdelaziz, H. Farag, E. El-Saadany, and Y. Mohamed, “A novel and generalized three-phase power flow algorithm for islanded microgrids using a Newton trust region method,” IEEE Trans. Power Syst., Vol. 28, no. 1, pp. 190–201, Feb. 2013. doi: 10.1109/TPWRS.2012.2195785
  • S. Conti, and S. Rizzo, “Modelling of microgrid-renewable generators accounting for power-output correlation,” IEEE Trans. Power Delivery, Vol. 28, no. 4, pp. 2124–33, Oct. 2013. doi: 10.1109/TPWRD.2013.2265606
  • H. Nunna, and S. Doolla, “Demand response in smart distribution system with multiple microgrids,” IEEE Trans. Smart Grid, Vol. 3, no. 4, pp. 1641–9, Dec. 2012. doi: 10.1109/TSG.2012.2208658
  • S. Bae, and A. Kwasinski, “Dynamic modeling and operation strategy for a microgrid with wind and photovoltaic resources,” IEEE Trans. Smart Grid, Vol. 3, no. 4, pp. 1867–76, Dec. 2012. doi: 10.1109/TSG.2012.2198498
  • S. Bolognani, and S. Zampieri, “A distributed control strategy for reactive power compensation in smart microgrids,” IEEE Trans. Autom. Control, Vol. 58, no. 11, pp. 2818–33, Nov. 2013. doi: 10.1109/TAC.2013.2270317
  • Y. Mohamed, and A. Radwan, “Hierarchical control system for robust microgrid operation and seamless mode transfer in active distribution systems,” IEEE Trans. Smart Grid, Vol. 2, no. 2, pp. 352–62, Jun. 2011. doi: 10.1109/TSG.2011.2136362
  • S. Anand, and B. Fernandes, “Reduced-order model and stability analysis of low-voltage DC microgrid,” IEEE Trans. Ind. Electron., Vol. 60, no. 11, pp. 5040–9, Nov. 2013. doi: 10.1109/TIE.2012.2227902
  • S. Ashabani, and Y. Mohamed, “A flexible control strategy for grid-connected and islanded microgrids with enhanced stability using nonlinear microgrid stabilizer,” IEEE Trans. Smart Grid, Vol. 3, no. 3, pp. 1291–301, Sep. 2012. doi: 10.1109/TSG.2012.2202131
  • A. Kahrobaeian, and Y. Mohamed, “Suppression of interaction dynamics in DG converter-based microgrids via robust system-oriented control approach,” IEEE Trans. Smart Grid, Vol. 3, no. 4, pp. 1800–11, Dec. 2012. doi: 10.1109/TSG.2012.2217763
  • K. Tan, X. Peng, P. So, Y. Chu, and M. Chen, “Centralized control for parallel operation of distributed generation inverters in microgrids,” IEEE Trans. Smart Grid, Vol. 3, no. 4, pp. 1977–87, Dec. 2012. doi: 10.1109/TSG.2012.2205952
  • M. Khodayar, M. Barati, and M. Shahidehpour, “Integration of high reliability distribution system in microgrid operation,” IEEE Trans. Smart Grid, Vol. 3, no. 4, pp. 1997–2006, Dec. 2012. doi: 10.1109/TSG.2012.2213348
  • G. Suvire, M. Molina, and P. Mercado, “Improving the integration of wind power generation into AC microgrids using flywheel energy storage,” IEEE Trans. Smart Grid, Vol. 3, no. 4, pp. 1945–54, Dec. 2012. doi: 10.1109/TSG.2012.2208769
  • B. Vijay Kumar, and N. Srikanth, “Optimal location and sizing of unified power flow controller (UPFC) to improve dynamic stability: A hybrid technique,” Int. J. Electr. Power Energy Syst., Vol. 64, no. 1, pp. 429–38, Jan. 2015. doi: 10.1016/j.ijepes.2014.07.015
  • A. Radwan, and Y. Mohamed, “Modeling, analysis, and stabilization of converter-fed AC microgrids with high penetration of converter-interfaced loads,” IEEE Trans. Smart Grid, Vol. 3, no. 3, pp. 1213–25, Sep. 2012. doi: 10.1109/TSG.2012.2183683
  • J. Wu, and X. Guan, “Coordinated multi-microgrids optimal control algorithm for smart distribution management system,” IEEE Trans. Smart Grid, Vol. 4, no. 4, pp. 2174–81, Dec. 2013. doi: 10.1109/TSG.2013.2269481
  • M. Tasdighi, H. Ghasemi, and A. Rahimi-Kian, “Residential microgrid scheduling based on smart meters data and temperature dependent thermal load modeling,” IEEE Trans. Smart Grid, Vol. 5, no. 1, pp. 349–57, Jan. 2014. doi: 10.1109/TSG.2013.2261829
  • A. Garces, “A quadratic approximation for the optimal power flow in power distribution systems,” Electr. Power Syst. Res., Vol. 130, no. 1, pp. 222–9, Jan. 2016. doi: 10.1016/j.epsr.2015.09.006
  • V. Roberge, M. Tarbouchi, and F. Okou, “Optimal power flow based on parallel metaheuristics for graphics processing units,” Electr. Power Syst. Res., Vol. 140, no. 11, pp. 344–53, Nov. 2016.
  • A. Hermann, Q. Wu, S. Huang, and A. Nielsen, “Convex relaxation of optimal power flow in distribution feeders with embedded solar power,” Energy Procedia, Vol. 100, no. 15, pp. 43–9, Nov. 2016.
  • L. Chong, Y. Wong, R. Rajkumar, R. Rajkumar, and D. Isa, “Hybrid energy storage systems and control strategies for stand-alone renewable energy power systems,” Renewable Sustainable Energy Rev., Vol. 66, no. 14, pp. 174–89, Dec. 2016. doi: 10.1016/j.rser.2016.07.059
  • M. Rouholamini, and M. Mohammadian, “Heuristic-based power management of a grid-connected hybrid energy system combined with hydrogen storage,” Renewable Energy, Vol. 96, no. 14, pp. 354–65, Oct. 2016.
  • Y. Luo, Y. Shi, Y. Zheng, and N. Cai, “Reversible solid oxide fuel cell for natural gas/renewable hybrid power generation systems,” J. Power Sources, Vol. 340, no. 4, pp. 60–70, Feb. 2017. doi: 10.1016/j.jpowsour.2016.11.057
  • J. Allison, “Robust multi-objective control of hybrid renewable microgeneration systems with energy storage,” Appl. Therm. Eng., Vol. 114, no. 5, pp. 1498–506, Mar. 2017. doi: 10.1016/j.applthermaleng.2016.09.070
  • M. Deshmukh, and S. Deshmukh, “Modeling of hybrid renewable energy systems,” Renewable Sustainable Energy Rev., Vol. 12, no. 1, pp. 235–49, Jan. 2008. doi: 10.1016/j.rser.2006.07.011
  • J. Bernal-Agustín, and R. Dufo-López, “Simulation and optimization of stand-alone hybrid renewable energy systems,” Renewable Sustainable Energy Rev., Vol. 13, no. 8, pp. 2111–8, Oct. 2009. doi: 10.1016/j.rser.2009.01.010
  • M. Fadaee, and M. Radzi, “Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: A review,” Renewable Sustainable Energy Rev., Vol. 16, no. 5, pp. 3364–9, Jun. 2012. doi: 10.1016/j.rser.2012.02.071
  • S. Ashok, “Optimised model for community-based hybrid energy system,” Renewable Energy, Vol. 32, no. 7, pp. 1155–64, Jun. 2007. doi: 10.1016/j.renene.2006.04.008
  • M. Veerachary, T. Senjyu, and K. Uezato, “Neural-network-based maximum-power-point tracking of coupled-inductor interleaved-boost-converter-supplied PV system using fuzzy controller,” IEEE Trans. Ind. Electron., Vol. 50, no. 4, pp. 749–58, Aug. 2003. doi: 10.1109/TIE.2003.814762
  • L. Gao, R. Dougal, S. Liu, and A. Iotova, “Parallel-connected solar PV system to address partial and rapidly fluctuating shadow conditions,” IEEE Trans. Ind. Electron., Vol. 56, no. 5, pp. 1548–56, May 2009. doi: 10.1109/TIE.2008.2011296
  • K. Roy, K. Mandal, and A. Mandal, “Modeling and managing of micro grid connected system using improved artificial bee colony algorithm,” Int. J. Electr. Power Energy Syst., Vol. 75, no. 2, pp. 50–8, Feb. 2016. doi: 10.1016/j.ijepes.2015.08.003
  • W. Libo, Z. Zhengming, and L. Jianzheng, “A single-stage three-phase grid-connected photovoltaic system with modified MPPT method and reactive power compensation,” IEEE Trans. Energy Convers., Vol. 22, no. 4, pp. 881–6, Dec. 2007. doi: 10.1109/TEC.2007.895461
  • B. Sujatha, and G. Anitha, “Enhancement of PQ in grid connected PV system using hybrid technique,” Ain Shams Eng. J., Vol. 8, no. 2, pp. 1–13, Jun. 2016.
  • S. Mirjalili, “The ant lion optimizer,” Adv. Eng. Softw., Vol. 83, no. 12, pp. 80–98, May 2015. doi: 10.1016/j.advengsoft.2015.01.010
  • A. Rajan, K. Jeevan, and T. Malakar, “Weighted elitism based ant lion optimizer to solve optimum VAr planning problem,” Appl. Soft Comput., Vol. 55, no. 6, pp. 352–70, Jun. 2017. doi: 10.1016/j.asoc.2017.02.010
  • H. Sanchez, F. Padula, A. Visioli, and R. Vilanova, “Tuning rules for robust FOPID controllers based on multi-objective optimization with FOPDT models,” ISA Trans., Vol. 66, no. 1, pp. 344–61, Jan. 2017. doi: 10.1016/j.isatra.2016.09.021
  • M. Raju, L. Saikia, and N. Sinha, “Automatic generation control of a multi-area system using ant lion optimizer algorithm based PID plus second order derivative controller,” Int. J. Electr. Power Energy Syst., Vol. 80, no. 7, pp. 52–63, Sep. 2016. doi: 10.1016/j.ijepes.2016.01.037
  • Y. Sood, N. Padhy, and H. Gupta, “Discussion of “optimal power flow by enhanced genetic algorithm,” IEEE Trans. Power Syst., Vol. 18, no. 3, p. 1219, Aug. 2003. doi: 10.1109/TPWRS.2002.807108
  • E. Shiva Prasad, and B. V. Sanker Ram, “Ant-lion optimizer algorithm based FOPID controller for speed control and torque ripple minimization of SRM drive system,” in International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), Paralakhemundi, 3–5 Oct. 2016. Available: https://ieeexplore.ieee.org/document/7955700/authors
  • D. Sobajic, and Y. Pao, “Artificial neural-net based dynamic security assessment for electric power systems,” IEEE Trans. Power Syst., Vol. 4, no. 1, pp. 220–8, Feb. 1989. doi: 10.1109/59.32481
  • T. Sidhu, H. Singh, and M. Sachdev, “Design, implementation and testing of an artificial neural network based fault direction discriminator for protecting transmission lines,” IEEE Trans. Power Delivery, Vol. 10, no. 2, pp. 697–706, Apr. 1995. doi: 10.1109/61.400862
  • X. Yang, and X. He, “Firefly algorithm: Recent advances and applications,” Int. J. Swarm Intell., Vol. 1, no. 36, Jan. 2013.

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