Small signal stability optimization technique of real time OPF model for modern power networks

Abstract

A suitable optimization model for modern power networks has been proposed in this paper, to depict the possibility of optimum utilization of the available resources, for obtaining a stable operational zone of the grid, satisfying all the indispensible factors. The state space based model developed along with the proposed small signal stability constraint methodology maximizes load catering at minimum generation cost to restore power market equilibrium even in the most inadvertent states of the network. Modern power networks have been observed to operate in stressed conditions as the producers and consumers of power continuously bargain and alter their stand in power market. The perturbation of price of electricity is thus inevitable with a contingency, as the Independent System Operator endeavors to sustain the other operational constraints viz frequency, voltage profile within specified limit. This dynamics of price has to be reconciled in order to ensure the system operation without harmful bifurcation under these small signal disturbances. The restoration of the power market dynamic price equilibrium has been negotiated in this paper, by forming the sensitivity matrix to regulate the state variables for the standardization of the quality of solution in worst possible contingencies of the network. The model has been tested in IEEE 30 bus system and illustrious Particle Swarm Optimization has assisted the fusion of the proposed model and methodology.