An investigation of the effect of changes of planning criteria on power system expansion planning with a case study of the Jordanian power system

Many factors contribute to the planning process of power systems. In the context of expansion planning, focus is paid to selection criteria that enable the optimization of related factors that will result in the best performance. This is described as meeting demand whilst reducing costs and maintaining minimal risk in operation. In this paper, different criteria used in the planning of power system expansion studies are investigated with the objective of identifying their impact on the expansion plan. The results of these criteria on the expansion study of the Jordanian power system are presented. Results show good correspondence to the actual adopted solutions. The spinning reserve is the most influential planning criterion on the overall system expansion cost. This is followed by the peak load changes, and the forced outage rate of the candidate units used for capacity additions to meet future expected demand. Finally, the loss of load expectation and cost of energy not served have the least effect on the overall system expansion cost. These results highlight the importance to be placed on performing sensitivity analyses to determine the most cost effective and acceptable expansion plan of the electric power system. There is a need to continually update the planning criteria to cater for changes and developments in the power system and the economic situation. Finally, the methodology of this study can be generalized to other power systems.

[1]  Roy Billinton,et al.  A method for composite power system expansion planning considering probabilistic reliability criteria , 2005 .

[2]  Z. Dong,et al.  A Price-Based Approach to Generation Investment Planning in Electricity Markets , 2008, IEEE Transactions on Power Systems.

[3]  Jose L. Ceciliano Meza,et al.  A Model for the Multiperiod Multiobjective Power Generation Expansion Problem , 2007, IEEE Transactions on Power Systems.

[4]  Decision,et al.  REVIEW OF JAMAICA PUBLIC SERVICE COMPANY, LTD LEAST-COST EXPANSION PLAN , 2008 .

[5]  M. Rashidinejad,et al.  Transmission Expansion Planning in Restructured Power Systems Considering Investment Cost and n-1 Reliability , 2008 .

[6]  R. Turvey,et al.  Electricity Economics: Essays and Case Studies , 1977 .

[7]  Jaeseok Choi A method for transmission system expansion planning considering probabilistic reliability criteria , 2005, IEEE Transactions on Power Systems.

[8]  Fawwaz Elkarmi Load research as a tool in electric power system planning, operation, and control—The case of Jordan , 2008 .

[9]  Thukaram Dhadbanjan,et al.  Identification of Generation and Network Expansion Locations to Meet Growing Loads Using Relative Electrical Distance Approach , 2009 .

[10]  M. Shahidehpour,et al.  Security-Constrained Resource Planning in Electricity Markets , 2007, IEEE Transactions on Power Systems.

[11]  M. Shahidehpour,et al.  Network planning in unbundled power systems , 2006, IEEE Transactions on Power Systems.

[12]  M.J. Rider,et al.  Transmission Network Expansion Planning Considering Uncertainty in Demand , 2006, IEEE Transactions on Power Systems.

[13]  S. Baskar,et al.  Application of NSGA-II Algorithm to Generation Expansion Planning , 2009, IEEE Transactions on Power Systems.

[14]  Nanang Hariyanto,et al.  Decentralized And Simultaneous Generation and Transmission Expansion Planning Through Cooperative Game Theory , 2009 .

[15]  S. Awerbuch Portfolio-Based Electricity Generation Planning: Policy Implications For Renewables And Energy Security , 2006 .

[16]  K. Samdal,et al.  Customer Costs Related to Interruptions and Voltage Problems: Methodology and Results , 2008, IEEE Transactions on Power Systems.

[17]  Jong-Bae Park,et al.  An improved genetic algorithm for generation expansion planning , 2000 .