Computationally efficient composite transmission expansion planning: A Pareto optimal approach for techno-economic solution

This paper presents an integrated approach for composite transmission expansion planning incorporating: (i) computationally efficient linear matrices, (ii) a novel Demand/Energy Not Served (DNS/ENS) and Generation Not Served (GNS) calculation approach, to circumvent the time intensive iterative procedures. A self-tuning mechanism based on stochastic Roulette Wheel (RW) simulation procedure supports the reduction of network congestion. It establishes a trade-off between technical and economic criteria using the theory of marginal value (marginal reduction in interruption cost and marginal increment in the investment) for the incremental updating method. A hybrid of deterministic (N-1) and probabilistic (critical N-2) contingency scenarios have been simulated for security of the system. Results show that existing lines and generators capacity are necessary to update for economic operation for minimizing interruption cost and to achieve optimal investment. Modified 5-bus 24-bus and 118-bus IEEE systems are taken to show the generalization of methodology.