Application of evolutionary programming to security constrained economic dispatch

This paper presents an algorithm, for solving security constrained economic dispatch (SCED) problem, through the application of evolutionary programming (EP). The controllable system quantities in the base case state are optimized, to minimize some defined objective function, subject to the base case operating constraints as well as the contingency case security constraints. Two representative systems: 10-bus [10] and adapted IEEE 30-bus [20] systems are taken for investigations. The SCED results obtained using EP are compared, with those obtained using quadratic programming [Fan JY, Zhang L. Real-time economic dispatch withline flow and emission constrains using quadratic programming. IEEE Trans Power Syst 1998;13(2):320-5] and successive linear programming [Kuppusamy K. Successive liner programming methods for security-related optimization in power systems. India:PhD Thesis; 1981]. The investigations reveal that, the proposed algorithm is relatively simple, reliable, efficient and suitable for on-line applications.