Indian Journal of Science and Technology

Open Access Open Access  Restricted Access Subscription Access

New Approach to Congestion Mitigation Based on Incidence Matrix DCOPF


Affiliations
1 Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Fars, Iran, Islamic Republic of
 

An incidence matrix approach for mitigating congestion in transmission network is presented in this paper. Based on this methodology, all congested power transmission lines is identified and main economical signals for investment planning is introduced. In this method, we can determine strong and weak transmission corridors in the network. The Flexible AC Transmission System (FACTS) device has been applied to enhance the controllability of power systems. New generations of FACTS device called Distributed FACTS such as distributed series impedance or distributed static series compensator have recently received increasing interests for power system control and are expected to be broadly deployed. This paper presents a detailed formulation and algorithm to find the best location and size of DFACTS to achieve the optimal utilization of transmission capacity to mitigate congestion. This approach can be applied in market simulation and planning owing to its robustness and speed. Unlike, previous admittance based matrix methodologies, which solidly depended on the network topology, independency of network in the presented approach; it would be an effective tool for long-term expansion planning criteria or implementing D-FACTS devices in modern power systems. The simulation results show that the presented method is both satisfactory and consistent with expectation. Simulation results are presented with the PJM 5-bus system to illustrate the capabilities of presented approach in compression with previous works.

Keywords

Incidence Matrix, DCOPF, Congestion Management, D-FACTS
User

  • Besharat H and Taher SA (2008) Congestion management by determining optimal location of TCSC in deregulated power systems. Elect. Power & Energy Sys. 30, 563-568.

  • Bompard E, Correia P, Gross G and Amelin M (2003) Congestion management schemes: A Comparative analysis under a unified framework. IEEE Trans. Power Sys.18(1), 346-352.

  • Christie RD, Wollenberg BF, and Wangensteen I (2000) Transmission management in the deregulated environment. Proce. IEEE. pp: 170-195.

  • Davari M, Toorani F, Nafisi H, Abedi M and Gharepatian GB (2008) Determination of mean and variance of LMP using probabilistic DCOPF and TPEM. PECon08. pp:1280-1283.

  • Kirschen D and Strbac G (2004) Fundamentals of power system economics. John Wiley & Sons, UK.

  • Li F and Bo R (2007) DCOPF-Based LMP Simulation: Algorithm, comparison with ACOPF and sensitivity. IEEE Trans Power Sys. 22(4),1475-1485.

  • Li F, Pan J and Chao H (2004) Marginal loss calculation in competitive spot market. IEEE Int. Conf. Deregulation, Restructuring Power Technol. (DRPT). pp: 205-209.

  • Li H, Li F, Zhang P and Zhao X (2009) Optimal utilization of transmission capacity to reduce congestion with Distributed FACTS. IEEE Bucharest Power Tech Conf., Bucharest, Romania.

  • Litvinov E, Zheng T, Rosenwald G and Shamsollahi P (2004) Marginal loss modeling in LMP calculation. IEEE Trans Power Sys. 19(2), 880-884.

  • Liu L and Zobian A (2002) The importance of marginal loss pricing in an RTO environment. Electricity J. 15, 40-45.

  • Lommerdal M and Soder L (2003) Simulation of congestion management methods. IEEE Power Tech. Bologna. Bologna, Italy.

  • Momoh J and Mili L (2010) Economic market design and planning for electric power systems. John Wiley & Sons, NJ.

  • Mwanza K, Shi Y and Tuan LA (2007) Economic evaluation of FACTS for congestion management in pool Markets. Power Tech.

  • PJM (2005) Training materials-LMP 101, PJM.

  • Ramos JLM, Exposito AG, Moron FJC and Becerra SN (2003) On the use of loss penalty factors for generation scheduling. Proce. IEEE Power Engg. Soc. Annu. Meeting. pp: 926-931.

  • Reddy KRS, Padhy NP and Patel RN (2006) Congestion management in deregulated power system using FACTS Devices. IEEE.

  • Shahidehpour M, Yamin H and Li Z (2002) Market operations in electric power systems. John Wiley & Sons, NY.

  • Stoft S ( 2002) Power system economics-designing markets for electricity. IEEE/Wiley. NY.

  • Su CL (2005) Probabilistic load-flow computation using point estimate method. IEEE Trans Power Sys. 20, 1843-1851.

  • Wood AJ and Wollenberg BF, 1996 Power Generation, Operation and Control. John Wiley & Sons, NY.

  • Zhang XP, Chong B, Godfrey KR, Yao L, Bazargan M and Schmitt L (2007) Management of congestion costs Utilizing FACTS controllers in a bilateral electricity market environment. IEEE PowerTech. pp: 1244-1249.

  • Zhu J, Hwang D and Sadjadpour A (2005) Real time loss sensitivity calculation in power systems operation. Elect. Power Sys. Res. 73(1), 53-60.


Abstract Views: 489

PDF Views: 109




  • New Approach to Congestion Mitigation Based on Incidence Matrix DCOPF

Abstract Views: 489  |  PDF Views: 109

Authors

Mohammad Sadegh Javadi
Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Fars, Iran, Islamic Republic of
Ali Meskarbashee
Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Fars, Iran, Islamic Republic of

Abstract


An incidence matrix approach for mitigating congestion in transmission network is presented in this paper. Based on this methodology, all congested power transmission lines is identified and main economical signals for investment planning is introduced. In this method, we can determine strong and weak transmission corridors in the network. The Flexible AC Transmission System (FACTS) device has been applied to enhance the controllability of power systems. New generations of FACTS device called Distributed FACTS such as distributed series impedance or distributed static series compensator have recently received increasing interests for power system control and are expected to be broadly deployed. This paper presents a detailed formulation and algorithm to find the best location and size of DFACTS to achieve the optimal utilization of transmission capacity to mitigate congestion. This approach can be applied in market simulation and planning owing to its robustness and speed. Unlike, previous admittance based matrix methodologies, which solidly depended on the network topology, independency of network in the presented approach; it would be an effective tool for long-term expansion planning criteria or implementing D-FACTS devices in modern power systems. The simulation results show that the presented method is both satisfactory and consistent with expectation. Simulation results are presented with the PJM 5-bus system to illustrate the capabilities of presented approach in compression with previous works.

Keywords


Incidence Matrix, DCOPF, Congestion Management, D-FACTS

References





DOI: https://doi.org/10.17485/ijst%2F2012%2Fv5i2%2F30353