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A coefficient diagram method based AGC mechanism for an interconnected power system in coordination with UPFC and AC/DC link

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Frequency regulation is in a first line of preference for an interconnected power system. Presence of nonlinearities in the generation systems further raises the complexity level of the problem. In this scenario, this article presents a robust Automatic Generation Control (AGC) mechanism to maintain the frequency and tie-line power of the power system to their nominal values. A Coefficient Diagram Method (CDM) based AGC mechanism including an AC/DC tie-line and Unified Power Flow Controller (UPFC) has been developed and the performance in handling the frequency regulation has been analyzed. The nonlinearities such as Governor Dead-Band (GDB) and Generation Rate Constraint (GRC) are included in the system to analyze the proposed AGC scheme in a more realistic approach. The AC/DC tie-line and UPFC which are included in the proposed AGC scheme provides an immense strength to handle the active power variation as-well-as frequency regulation. To develop a more effective AGC scheme, the parameters of an AC/DC tie-line and UPFC are optimized by successful implementation of the Fruit Fly Optimization Algorithm (FOA). The justification of the proposed AGC scheme has been carried out through a step by step verification such as justifying the CDM based controller, effectiveness of the proposed scheme and robustness of the system against parameters variation. The CDM based controller has been compared with the conventional controllers to elevate the effectiveness and the supremacy of the proposed AGC scheme has been examined by comparing with previously published work. The design and simulation of the work has been carried out by the MATLAB/Simulink® tool box.
Słowa kluczowe
EN
AGC   AC/DC link   CDM   GDB   GRC   UPFC  
Rocznik
Strony
287--302
Opis fizyczny
Bibliogr. 24 poz., rys., tab., wz.
Twórcy
autor
  • National Intitute of Techonology Patna Bihar, India
  • National Intitute of Techonology Patna Bihar, India
  • National Intitute of Techonology Patna Bihar, India
  • National Intitute of Techonology Patna Bihar, India
Bibliografia
  • [1] Kundur P., Power System Stability and Control, Electric Power Research Institute, Power System Engineering Series, pp. 1–1199 (1994).
  • [2] Shankar R., Pradhan S.R., Chatterjee K., Mandal R., A comprehensive state of the art literature survey on LFC mechanism for power system, Renew. Sustain. Energy Rev., vol. 76, pp. 1185–1207 (2017), DOI: 10.1016/j.rser.2017.02.064.
  • [3] Raju M., Chandra Saikia L., Sinha N., Automatic generation control of a multi-area system using ant lion optimizer algorithm based PID plus second order derivative controller, Electrical Power and Energy Systems, vol. 80, pp. 52–63 (2016).
  • [4] Li M., Zhou P., Zhao Z., Zhang J., Two-degree-of-freedom fractional order-PID controllers design for fractional order processes with dead-time, ISA Transactions, vol. 61, pp. 147–154 (2016), DOI: 10.1016/j.isatra.2015.12.007.
  • [5] Saxena S., Load frequency control strategy via fractional-order controller and reduced-order modeling, International Journal of Electrical Power and Energy Systems, vol. 104, pp. 603–614 (2019).
  • [6] Nayak N., Mishra S., Sharma D., Kumar Sahu B., Application of modified sine cosine algorithm to optimally design PID/fuzzy-PID controllers to deal with AGC issues in deregulated power system, in IET Generation, Transmission and Distribution, vol. 13, no. 12, pp. 2474–2487 (2019).
  • [7] Mahdi M.M., Mhawi Thajeel E., Ahmad A.Z., Load Frequency Control for Hybrid Micro-grid Using MRAC with ANN Under-sudden Load Changes, 2018 Third Scientific Conference of Electrical Engineering (SCEE), Baghdad, Iraq, pp. 220–225 (2018).
  • [8] Rerkpreedapong D., Hasanovic A., Feliachi A., Robust load frequency control using genetic algorithms and linear matrix inequalities, in IEEE Transactions on Power Systems, vol. 18, no. 2, pp. 855–861 (2003).
  • [9] Bernard M.Z., Hassan Mohamed T., Soliman Qudaih Y., Mitani Y., Decentralized load frequency control in an interconnected power system using Coefficient Diagram Method, Electrical Power and Energy Systems, vol. 63, pp. 165–172 (2014).
  • [10] Shankar R., Chatterjee K., Bhushan R., Impact of energy storage system on load frequency control for diverse sources of interconnected power system in deregulated power environment, Electrical Power and Energy Systems, vol. 79, pp. 11–26 (2016).
  • [11] Saha A., Saikia L.C., Combined application of redox flow battery and DC link in restructured AGC system in the presence of WTS and DSTS in distributed generation unit, IET Gener. Transm. Distrib., vol. 12, no. 9, pp. 2072–2085 (2018).
  • [12] Tasnin W., Saikia L.C., Comparative performance of different energy storage devices in AGC of multisource system including geothermal power plant, J. Renew. Sustain. Energy, vol. 10, no. 2 (2018).
  • [13] Dutta A., Prakash S., Effect of FACTS on load frequency control in deregulated environment, 7th India International Conference on Power Electronics (IICPE), Patiala, pp. 1–6 (2016).
  • [14] Lal D.K., Barisal A.K., Comparative performances evaluation of FACTS devices on AGC with diverse sources of energy generation and SMES, Cogent Eng., vol. 4, no. 1, pp. 1–29 (2017).
  • [15] Sekhar Gorripotu T., Kumar Sahu R., Panda S., AGC of a multi-area power system under deregulated environment using redox flow batteries and interline power flow controller, Engineering Science and Technology, vol. 18, no. 4, pp. 555–78 (2015).
  • [16] Bhatt P., Ghoshal S.P., Roy R., Load frequency stabilization by coordinated control of thyristor controlled phase shifters and superconducting magnetic energy storage for three types of interconnected two-area power systems, International Journal of Electrical Power and Energy Systems, vol. 32, no. 10, pp. 1111–1124 (2010).
  • [17] Abraham R.J., Das D., Patra A., Damping oscillations in Tie-power and area frequencies in a thermal power system with SMES-TCPS combination, J. Electrical Systems, vol. 7, no. 1, pp. 71–80 (2011).
  • [18] Chandra Pradhan P., Kumar Sahu R., Panda S., Firefly algorithm optimized fuzzy PID controller for AGC of multi-area multi-source power systems with UPFC and SMES, Engineering Science and Technology, an International Journal, vol. 19, no. 1, pp. 338–354 (2016).
  • [19] Shankar R., Kumar A., Raj U., Chatterjee K., Fruit fly algorithm-based automatic generation control of multiarea interconnected power system with FACTS and AC/DC links in deregulated power environment, International Journal of Electrical Power and Energy Systems, vol. 29, no. 1, pp. 1–25 (2019).
  • [20] Yogendra Arya, Narendra Kumar, Ibraheem Nasiruddin, AGC of a two-area multi-source power system interconnected via AC/DC parallel links under restructured power environment, Optim. Control. Appl. Methods, vol. 37, no. 4, pp. 590–607 (2016).
  • [21] Yogendra Arya, Gupta S.K., Singh N., Optimal power-frequency control in deregulated thermal, hydro and hydro thermal power systems with AC-DC links, Recent Advances Elect. Electron. Eng., vol. 12, no. 5, pp. 414–424 (2019).
  • [22] Yogendra Arya, Narendra Kumar, Gupta S.K., Load frequency control of a four-area power system using linear quadratic regulator, International Journal of Electrical Power and Energy Systems, vol. 2, no. 2, pp. 69–76 (2012).
  • [23] Gupta S.K., Yogendra Arya, Shukla S., Chawala P., Two-area AGC in interconnected system under the restructured power system using BFO controller, 6th IEEE power India International Conference, December 5–7, Delhi, India, pp. 1–6 (2014).
  • [24] Tsao Pan W., A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an example, Knowledge-Based System, vol. 26, pp. 69–74 (2012).
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-dd54c726-67b4-4cd6-9892-cd722ee73ded
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