Optimal placement of UPFC across a transmission line considering techno-economic aspects with physical limitation

Changing load in power system network might lead to the voltage collapse in critical situations. By providing the proper power compensation with respect to these changes, the stability of such system can be increased. This paper aims at optimal placement of a unified power flow controller (UPFC) across a transmission line to overcome such stability problems by injecting active and reactive power into the system. For the analysis we have chosen standard IEEE test systems of 14-bus, 30-bus and 57-bus network. The PQ buses are loaded randomly to simulate the unpredictability and challenges of a power system transmission network. By using Mi-Power 9.0 software newton raphson load flow (NRLF) is applied to get power flow solution with and without UPFC. UPFC is placed at receiving-end bus, mid-point or sending-end bus of the transmission line connecting the lowest voltage magnitude bus and any adjacent bus. The analysis is done based on voltage profile improvement index (VPII), active and reactive power losses, UPFC installation cost and power generation cost. The effectiveness and benefits of UPFC allocation is proved by results.

[1]  V. Malathi,et al.  Optimal Placement and Sizing of Multi-type Facts Devices Using PSO and HSA , 2014, SEMCCO.

[2]  Steffen Rebennack,et al.  Optimal power flow: a bibliographic survey II , 2012, Energy Systems.

[3]  Belkacem Mahdad,et al.  Optimal location and control of combined SVC–TCSC controller to enhance power system loadability , 2014, Int. J. Syst. Assur. Eng. Manag..

[4]  Provas Kumar Roy,et al.  Optimal location of UPFC controller in transmission network using hybrid chemical reaction optimization algorithm , 2015 .

[5]  N Rajasekar,et al.  An enhanced bacterial foraging algorithm approach for optimal power flow problem including FACTS devices considering system loadability. , 2013, ISA transactions.

[6]  V. Srinivasa Rao,et al.  A generalized approach for determination of optimal location and performance analysis of FACTs devices , 2015 .

[7]  A. Kazemi,et al.  Multiobjective Optimal Location of FACTS Shunt-Series Controllers for Power System Operation Planning , 2012, IEEE Transactions on Power Delivery.

[8]  Sujatha Peddakotla,et al.  A Modified Cuckoo Search Algorithm for Improving Voltage Profile and to Diminish Power Losses by Locating Multi-type FACTS Devices , 2016 .

[9]  Sakti Prasad Ghoshal,et al.  Particle swarm optimization with an aging leader and challengers algorithm for optimal power flow problem with FACTS devices , 2015 .

[10]  Laszlo Gyugyi,et al.  Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems , 1999 .

[11]  J. Kalagnanam,et al.  Some Efficient Optimization Methods for Solving the Security-Constrained Optimal Power Flow Problem , 2014, IEEE Transactions on Power Systems.

[12]  Chao Duan,et al.  FACTS devices allocation via sparse optimization , 2016 .