access icon free Strategically incorporation of RES and DSTATCOM for techno-economic-environmental benefits using search space reduction-based ICSA

In this study, an improved crow search algorithm (ICSA) is proposed for the optimal allocation of renewable energy sources (RESs) and distributed static compensator in a practical distribution network (PDN) to improve system voltage, reduce line losses, maximise economic benefit, and decrease pollutants’ emission. To improve the performances, the control parameters of ICSA are logically tuned to make them adaptive with the iteration. Voltage stability index is used to identify healthier and weaker buses (HBs and WBs) of the system and comparative performance analysis is conducted after placing the devices at the identified HBs and WBs. The proposed technique is applied for both the cases of reduced search space (only WBs) and full search space (all the load buses) to establish that the optimal placement is always obtained at the WBs of the network. The optimal allocation for each type of device is conducted considering the time-varying characteristics of load demand and RES's power output, and their optimal performances are analysed in details, which will be helpful for the distribution companies to identify the most suitable device for incorporating in PDN. Furthermore, to show the effectiveness, the proposed algorithm is also compared with other algorithms.

Inspec keywords: power system security; static VAr compensators; renewable energy sources; power system stability; distributed power generation; distribution networks; optimisation

Other keywords: control parameters; comparative performance analysis; voltage stability index; weaker buses; load buses; search space reduction-based ICSA; practical distribution network; reduced search space; distribution companies; PDN; improved crow search algorithm; line losses; optimal placement; techno-economic-environmental benefits; identified HBs; optimal performances; static compensator; pollutants; suitable device; strategically incorporation; maximise economic benefit; system voltage; renewable energy sources; optimal allocation; healthier buses; RES's power output; only HBs

Subjects: Distribution networks; Power system control; Optimisation techniques; Distributed power generation; Control of electric power systems; Power system management, operation and economics; Optimisation techniques

References

    1. 1)
      • 1. Gampa, S.R., Das, D.: ‘Optimum placement and sizing of DGs considering average hourly variations of load’, Int. J. Electr. Power Energy Syst., 2015, 66, pp. 2540.
    2. 2)
      • 4. Ali, E.S., Abd Elazim, S.M., Abdelaziz, A.Y.: ‘Ant lion optimization algorithm for renewable distributed generations’, Energy, 2016, 116, pp. 445458.
    3. 3)
      • 7. Meena, N.K., Swarnkar, A., Gupta, N., et al: ‘Multi-objective Taguchi approach for optimal DG integration in distribution systems’, IET Gener. Transm. Distrib., 2017, 11, (9), pp. 24182428.
    4. 4)
      • 22. Tanwar, S.S., Khatod, D.K.: ‘Techno-economic and environmental approach for optimal placement and sizing of renewable DGs in distribution system’, Energy, 2017, 127, pp. 5267.
    5. 5)
      • 6. Yuvaraj, T., Devabalaji, K.R., Ravi, K.: ‘Optimal placement and sizing of DSTATCOM using harmony search algorithm’, Energy Procedia, 2015, 79, pp. 759765.
    6. 6)
      • 25. Arya, L.D., Koshti, A., Choube, S.C.: ‘Distributed generation planning using differential evolution accounting voltage stability consideration’, Int. J. Electr. Power Energy Syst., 2012, 42, (1), pp. 196207.
    7. 7)
      • 8. Tolabi, H.B., Ali, M.H., Rizwan, M.: ‘Simultaneous reconfiguration, optimal placement of DSTATCOM, and photovoltaic array in a distribution system based on fuzzy-ACO approach’, IEEE Trans. Sustain. Energy, 2015, 6, (1), pp. 210218.
    8. 8)
      • 9. Rao, R.S., Ravindra, K., Satish, K., et al: ‘Power loss minimization in distribution system using network reconfiguration in the presence of distributed generation’, IEEE Trans. Power Syst., 2013, 28, (1), pp. 317325.
    9. 9)
      • 2. Zhang, X., Karady, G.G., Ariaratnam, S.T.: ‘Optimal allocation of CHP based distributed generation on urban energy distribution networks’, IEEE Trans. Sustain. Energy, 2014, 5, (1), pp. 246251.
    10. 10)
      • 11. Ahmadian, A., Sedghi, M., Elkamel, A., et al: ‘Optimal WDG planning in active distribution networks based on possibilistic–probabilistic PEVs load modeling’, IET Gener. Transm. Distrib., 2016, 11, (4), pp. 865875.
    11. 11)
      • 5. Esmaeilian, H.R., Fadaeinedjad, R.: ‘Energy loss minimization in distribution systems utilizing an enhanced reconfiguration method integrating distributed generation’, IEEE Syst. J., 2015, 9, (4), pp. 14301439.
    12. 12)
      • 16. Taher, S.A., Afsari, S.A.: ‘Optimal location and sizing of DSTATCOM in distribution systems by immune algorithm’, Electr. Power Energy Syst., 2014, 60, pp. 3444.
    13. 13)
      • 21. Jain, N., Singh, S.N., Srivastava, S.C.: ‘A generalized approach for DG planning and viability analysis under market scenario’, IEEE Trans. Ind. Electron., 2013, 60, (11), pp. 50755085.
    14. 14)
      • 14. Choi, J.H., Kim, J.C.: ‘Advanced voltage regulation method at the power distribution systems interconnected with dispersed storage and generation systems’, IEEE Trans. Power Deliv., 2000, 15, (2), pp. 691696.
    15. 15)
      • 17. Ghatak, S.R., Sannigrahi, S., Acharjee, P.: ‘Optimal placement of DSTATCOM and DG using modified SFLA based technique for techno-economic and environmental benefits’, Recent Adv. Electr. Electron. Eng., 2018, 11, (3), pp. 334347.
    16. 16)
      • 19. Ghatak, S.R., Sannigrahi, S., Acharjee, P.: ‘Comparative performance analysis of DG and DSTATCOM using improved PSO based on success rate for deregulated environment’, IEEE Syst. J., 2018, 12, (3), pp. 27912802.
    17. 17)
      • 24. Abu-Mouti, F.S., El-Hawary, M.E.: ‘Optimal distributed generation allocation and sizing in distribution systems via artificial bee colony algorithm’, IEEE Trans. Power Deliv., 2011, 26, (4), pp. 20902101.
    18. 18)
      • 10. Ghaffarzadeh, N., Sadeghi, H.: ‘A new efficient BBO based method for simultaneous placement of inverter-based DG units and capacitors considering harmonic limits’, Int. J. Electr. Power Energy Syst., 2016, 80, pp. 3745.
    19. 19)
      • 18. Muthukumar, K., Jayalalitha, S.: ‘Optimal placement and sizing of distributed generators and shunt capacitors for power loss minimization in radial distribution networks using hybrid heuristic search optimization technique’, Int. J. Electr. Power Energy Syst., 2016, 78, pp. 299319.
    20. 20)
      • 13. Kayal, P., Chanda, C.K.: ‘Strategic approach for reinforcement of intermittent renewable energy sources and capacitor bank for sustainable electric power distribution system’, Int. J. Electr. Power Energy Syst., 2016, 83, pp. 335351.
    21. 21)
      • 20. Ramli, M.A., Hiendro, A., Al-Turki, Y.A.: ‘Techno-economic energy analysis of wind/solar hybrid system: case study for western coastal area of Saudi Arabia’, Renew. Energy, 2016, 91, pp. 374385.
    22. 22)
      • 3. Ghofrani-Jahromi, Z., Mahmoodzadeh, Z., Ehsan, M.: ‘Distribution loss allocation for radial systems including DGs’, IEEE Trans. Power Deliv., 2014, 29, (1), pp. 7280.
    23. 23)
      • 12. Liu, K., Sheng, W., Liu, Y., et al: ‘Optimal sitting and sizing of DGs in distribution system considering time sequence characteristics of loads and DGs’, Int. J. Electr. Power Energy Syst., 2015, 69, pp. 430440.
    24. 24)
      • 23. Askarzadeh, A.: ‘A novel metaheuristic method for solving constrained engineering optimization problems: crow search algorithm’, Comput. Struct., 2016, 169, pp. 112.
    25. 25)
      • 15. Poornazaryan, B., Karimyan, P., Gharehpetian, G.B., et al: ‘Optimal allocation and sizing of DG units considering voltage stability, losses and load variations’, Int. J. Electr. Power Energy Syst., 2016, 79, pp. 4252.
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