Steady-State and Dynamic Performance of Oman Transmission System with Diesel-Engine Driven Distributed Generation

The paper presents simulation studies of installing a number of diesel-engine driven generating units at selected locations in the main transmission system of Oman. A total of 300MW generator units are proposed on a temporary basis to aid in meeting the peak demand in summer 2011. A digital model is developed to simulate the system including central power plants, transmission system, loads and the proposed Distributed Generation (DG). The model includes representation of governor and excitation systems. The simulation studies are performed by using the DIgSILENT PowerFacrory software package. The objective of the studies is to demonstrate effects of the DGs in improving system performance in terms of voltage profile, line and transformer loadings, and transmission losses. The sizes and locations of DGs have been selected based on practical considerations; including availability of spacing, short- circuit ratings of existing switchgears, circuit capacity, feasibility of connection, operation noise, site access roads for fuel delivery, environmental effects, etc. A number of performance indicators are defined to assess the contribution of the selected DGs. These include transformer loading index, line loading index, and voltage deviation index. In addition, active and reactive transmission losses are calculated and used for assessing the benefits of the DGs. The results include comparison of the contribution of individual distributed generation at each site and the case with all proposed DGs. In addition the system dynamic performance is assessed by simulating various DG outages at peak demand.

[1]  K. Bhattacharya,et al.  Disco Operation Considering DG Units and Their Goodness Factors , 2009, IEEE Transactions on Power Systems.

[2]  S.K. Agarwal,et al.  Reliability modeling of distributed generation in conventional distribution systems planning and analysis , 2002, Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344).

[3]  L.F. Ochoa,et al.  Evaluating distributed generation impacts with a multiobjective index , 2006, IEEE Transactions on Power Delivery.

[4]  Jung-Wook Park,et al.  Selection of Optimal Location and Size of Multiple Distributed Generations by Using Kalman Filter Algorithm , 2009, IEEE Transactions on Power Systems.

[5]  A. Piccolo,et al.  Exploring the Tradeoffs Between Incentives for Distributed Generation Developers and DNOs , 2007, IEEE Transactions on Power Systems.

[6]  W. El-khattam,et al.  Optimal investment planning for distributed generation in a competitive electricity market , 2004, IEEE Transactions on Power Systems.

[7]  P. Marino,et al.  Ancillary Services performed by Distributed Generation in grid integration , 2007, 2007 International Conference on Clean Electrical Power.

[8]  G. Joós,et al.  On the Quantification of the Network Capacity Deferral Value of Distributed Generation , 2006, IEEE Transactions on Power Systems.

[9]  Omar H. Abdalla,et al.  Development of a digital model for Oman electrical transmission main grid , 2009, 2009 International Conference on Advances in Computational Tools for Engineering Applications.

[10]  R. Ramakumar,et al.  An approach to quantify the technical benefits of distributed generation , 2004, IEEE Transactions on Energy Conversion.

[11]  A. Piccolo,et al.  Evaluating the Impact of Network Investment Deferral on Distributed Generation Expansion , 2009, IEEE Transactions on Power Systems.