Post National Grid Reinforcement Analysis of QESCO Network for Reliable and Optimal Operation

Ubaid-ur Rehman, Faizullah Khan, Surat Khan, Muhammad Saeed, Rehmat ullah, Akbar Khan, Ali Madad


Energy is an important input for economic development of every country and electric power sector is an indispensable infrastructure in any economy. Quetta Electric Supply Company (QESCO) supplies electric power throughout Balochistan province of Pakistan except District Lasbela. Balochistan covers 43% of the geographic area of Pakistan but is considered to be the least power consuming province. The load is far away from the source and radially fed resulting in low voltage profiles and frequent blackout of the company grid network. Power flow studies have great significance in determining the best criteria for designing a power system and planning the future expansion of power system. This research focuses on reinforcement analysis of QESCO network using Power System Simulator for Engineering (PSS/E) by simulating load flow analysis model. The operation of the three available power sources has been studied for maximum performance of the grid network. Different scenarios have been analyzed and quantified by applying all the parameters and values of QESCO power system and inferences have been obtained on the basis of results generated by the PSS/E Software. The comparison study has been carried out for the three N-1(loss of one source) contingency situations for the available sources and best possible network topology for optimal operation of QESCO network is proposed.


Load Flow; Contingency Analysis; PSS/E Software; Grid Network Reinforcement;

Full Text:



NTDCL. (2015). Quarterly Load Data Report No. 143 of Grid stations in respect of NTDCL and all

distribution companies of PEPCO.

Chiang H D, Wang C S. (1998). Dynamic method for preventing voltage collapse in electrical power

systems. US Patent. Pp. 1-14.

Malik A. ( 2007). Effectiveness of regulatory structure in the power sector of Pakistan. Pakistan Institute

of Development Economics, Islamabad.

Mehnaz N et al., (2013). Load Flow Analysis and Abnormality Removal of Bangladesh Power System

Using Software CYME PSAF, in 2013 4th International Conference on Intelligent Systems, Modelling

and Simulation, pp. 384-388.

Totonchi I et al., (2013). Sensitivity analysis for the IEEE 30 bus system using load-flow studies," in

Electric Power and Energy Conversion Systems (EPECS), 3rd International Conference on 2013, pp.


Philavanh B et al., (2004). Power and voltage control of central-I transmission network in Lao PDR using

Excel's solver, in Power System Technology. PowerCon 2004. International Conference on 2004, pp.


Li Z, et al., (2015). Transmission Contingency Analysis Based on Integrated Transmission and

Distribution Power Flow in Smart Grid," Power Systems, IEEE Transactions on, vol. 30, pp. 3356-3367.

Udaykumar H, Sudarshana Reddy H R. (2015). Contingency Ranking in Modern Power System by

Exact and Precise Method. Nternational journal of innovative research in electrical, electronics,

instrumentation and control engineering 3(5):229-237.

Allan R, Da Silva M. (1995). Evaluation of reliability indices and outage costs in distribution systems,

IEEE Transactions on Power systems 10:413-419.

Adolf R, Haglin D, Halappanavar M, Chen Y, Huang Z. (2011). Techniques for improving filters in power

grid contingency analysis, In: Proceedings of the 7th international conference on machine learning and

data mining in pattern recognition (MLDM), pp 599–611.

Contacts | Feedback
© 2002-2014 BUITEMS