Abstract
Congestion management is one of the most important functions of independent system operator (ISO) in the restructured power system. This paper presents two new methodologies for optimal sitting and sizing of distributed generations (DGs) in the restructured power systems for congestion management. The proposed methodologies are based upon locational marginal price (LMP) and congestion rent that forms a priority list of candidate buses to reduce the solution space. The proposed priority list facilitates the optimal placement as well as the level of output power of DGs. The proposed methods are implemented on the IEEE 14-bus and IEEE 57-bus test systems to illustrate their effectiveness. An economic consideration of DG placement and its operation is also studied. Simulation studies and results analysis show that the proposed methodologies are capable of finding the best location and optimal size for DGs, which can alleviate congestion in transmission systems.
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References
Christie RD, Wollenberg BF, Wangensteen I (2000) Transmission management in the deregulated environment. Proc IEEE 88(2): 170–195
Liu Jianwei, Salama MMA, Mansour Raafat R (2005) Identify the impact of distributed resources on congestion management. IEEE Trans Power Deliv 20(3)
Singh Devender, Misra RK, Singh Deependra (2007) Effect of load models in distributed Generation planning. IEEE Trans Power syst 22(4)
Hegazy YG, Salama MMA, Chikhani AY (2003) Adequacy assessment of distributed generation systems using Monte Carlo simulation. IEEE Trans Power Syst 18(1): 48–52
Srivastava SC, Kumar Perveen (2000) Optimal power dispatch in deregulated market considering congestion management. In: International conference on electric utility deregulation and restructuring and power technologies, London, pp 53–59
Kumara A, Srivastava SC, Singh SN (2005) Congestion management in competitive power market: a bibliographical survey. Electr Power Syst Res 76: 153–164
Jibiki T, Sakakibara E, Iwamoto S (2007) Line flow sensitivities of line reactances for congestion management. IEEE Power Eng Soc Gen Meeting 24: 1–6
Mithulananthan N, Acharya N (2007) Locating series FACTS devices for congestion management in deregulated electricity market. Electr Power Syst Res 77: 352–360
Iranmanesh H, Rashidi-Nejad M, Hadian-Ameri SR (2008) Optimal location of FACTS devices to congestion relief via hybrid heuristic Technique in Distribution Systems. In: 23th international power system conference, Tehran, Iran
Iranmanesh H, Rashidinejad M, Gharaveisi AA (2007) An application of hybrid heuristic techniques to congestion relief. In: 22th international power system conference, Tehran, Iran
Iranmanesh H, Rashidinejad M, Gharaveisi AA (2006) Congestion relief via intelligent coordination of TCSC & SVC. In: 23th international power system conference, Tehran, Iran
Tuan LA, Bhattacharya K, Daalder J (2004) Transmission congestion management in bilateral markets: An interruptible load auction solution. Electr Power Syst Res 74: 379–389
Shrestha GB, Fonseka PAJ (2004) Congestion-driven transmission expansion in competitive power markets. IEEE Trans Power Syst 19(3): 1658–1665
Granelli G, Montagna M, Zanellini F, Bresesti P, Vailati R, Innorta M (2005) Optimal network reconfiguration for congestion management by deterministic and genetic algorithms. Electr Power Syst Res 76: 549–556
Hazra J, Sinha AK (2007) Congestion management using multiobjective particle swarm optimization. IEEE Trans Power Syst 22(4): 1726–1734
Acharya N, Mithulananthan N (2006) Influence of TCSC on congestion and spot price in electricity market with bilateral contract. Electr Power Syst Res 77: 1010–1018
Shahidehpour M, Yamin H, Li Z (2002) Market operations in electric power systems. Wiley, New York
Cheng X, Overbye TJ (2006) An energy reference bus independent LMP decomposition algorithm. IEEE Trans Power Syst 21(3): 1041–1049
Zimerman RD, Murillo-Sanchez CE, Gam D. MATPOWR A MATLAB Power System Simulation Package, Version 3.2. Available at http://www.pserc.cornell.edu/matpower
Daly PA, Morrison J (2001) Understanding the potential benefits of distributed generation on power delivery systems. Rural Electric Power Conference, USA, pp 201–213
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Afkousi-Paqaleh, M., Abbaspour-Tehrani Fard, A. & Rashidinejad, M. Distributed generation placement for congestion management considering economic and financial issues. Electr Eng 92, 193–201 (2010). https://doi.org/10.1007/s00202-010-0175-1
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DOI: https://doi.org/10.1007/s00202-010-0175-1