An Expert System Approach for Multi-Year Short-Term Transmission System Expansion Planning: An Indian Experience

This paper proposes an expert system approach to short-term expansion planning (STEP). The rules which drive STEP can be classified into MW, MVAR, and ampacity management rules. MW and ampacity management rules are for alleviating transmission line congestion. Reactive power management is required for voltage control at load busses, conformity to the capacity curve of the generators, and containing the MW losses within acceptable limits. Embedding reactive power management in STEP is a challenging task since ac load flow may not converge in absence of proper reactive power planning and load modeling. Therefore, we also propose enhancements to the fast decoupled load flow algorithm for on-the-fly reactive power management. The enhanced algorithm not only can detect divergent load flow scenarios but also self-correct it by restarting the whole process with greater degree of freedom in reactive power controls. The proposed approach leads to development of an automated tool for STEP which has the capability to work, even with incomplete information. A simple method for evaluating location and requirement of shunt reactor is also proposed. By analysis and comparative evaluation, we show that the proposed system can arrive at a solution which is close to optimal. Results on the Western Regional Grid of India with an approximate load of 28 000 MW and 1200 nodes are presented to demonstrate effectiveness of the proposed approach.

[1]  G. Latorre,et al.  Classification of publications and models on transmission expansion planning , 2003 .

[2]  Jose Roberto Sanches Mantovani,et al.  Constructive heuristic algorithm for the DC model in network transmission expansion planning , 2005 .

[3]  J.T. Saraiva,et al.  Transmission expansion planning and long term marginal prices calculation using simulated annealing , 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

[4]  Vladimiro Miranda,et al.  A hybrid meta-heuristic algorithm for transmission expansion planning , 2004 .

[5]  R. C. G. Teive,et al.  A cooperative expert system for transmission expansion planning of electrical power systems , 1998 .

[6]  Felix F. Wu,et al.  Folk theorems on transmission access: Proofs and counterexamples , 1996 .

[7]  Ruben Romero,et al.  Transmission network expansion planning with security constraints , 2005 .

[8]  J. Saraiva,et al.  A multiyear dynamic approach for transmission expansion planning and long-term marginal costs computation , 2005, IEEE Transactions on Power Systems.

[9]  Janusz Bialek,et al.  Topological generation and load distribution factors for supplement charge allocation in transmission open access , 1997 .

[10]  Charles R. Johnson,et al.  Topics in Matrix Analysis , 1991 .

[11]  Friedrich Kiessling,et al.  Overhead Power Lines , 2003 .

[12]  Felix F. Wu,et al.  A kernel-oriented algorithm for transmission expansion planning , 2000 .

[13]  Gene H. Golub,et al.  Matrix computations , 1983 .

[14]  Laura Bahiense,et al.  A Mixed Integer Disjunctive Model for Transmission Network Expansion , 2001 .

[15]  R.C.G. Teive,et al.  Knowledge-based system for electrical power networks transmission expansion planning , 2004, 2004 IEEE/PES Transmision and Distribution Conference and Exposition: Latin America (IEEE Cat. No. 04EX956).

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

[17]  Jose Roberto Sanches Mantovani,et al.  Transmission-expansion planning using the DC model and nonlinear-programming technique , 2005 .

[18]  O. Alsac,et al.  Fast Decoupled Load Flow , 1974 .

[19]  Turan Gonen Modern power system analysis , 1988 .

[20]  S.A. Soman,et al.  Optimization approach to real power tracing: an application to transmission fixed cost allocation , 2006, IEEE Transactions on Power Systems.

[21]  Jose Roberto Sanches Mantovani,et al.  Branch and bound algorithm for transmission system expansion planning using a transportation model , 2000 .

[22]  Maolin Tang A Hybrid , 2010 .

[23]  A. Conejo,et al.  Transmission Loss Allocation: A Comparison of Different Practical Algorithms , 2002, IEEE Power Engineering Review.

[24]  S. C. Srivastava,et al.  Fast decoupled load flow methods in rectangular coordinates , 1991 .

[25]  A. Ramos,et al.  Probabilistic midterm transmission planning in a liberalized market , 2005, IEEE Transactions on Power Systems.

[26]  R. Gutman,et al.  Analytical Development of Loadability Characteristics for EHV and UHV Transmission Lines , 1979, IEEE Transactions on Power Apparatus and Systems.

[27]  David S. Johnson,et al.  Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .

[28]  P. Kundur,et al.  Power system stability and control , 1994 .

[29]  Gene H. Golub,et al.  Matrix computations (3rd ed.) , 1996 .

[30]  J. Contreras,et al.  Coalition formation in transmission expansion planning , 1999, IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233).

[31]  E. L. da Silva,et al.  A reliable approach for solving the transmission network expansion planning problem using genetic algorithms , 2001 .

[32]  Ruben Romero,et al.  Transmission system expansion planning by simulated annealing , 1995 .

[33]  H. P. St. Clair,et al.  Practical Concepts in Capability and Performance of Transmission Lines [includes discussion] , 1953, Transactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems.