Power system security enhancement through effective allocation, control and integration of demand response program and FACTS devices

This thesis is devoted to the development of a new approach for using the FACTS devices and demand response programs to improve the power system security and reliability. The key objectives of the research reported in this thesis are: -Optimal allocation of demand response program -Optimal allocation of FACTS devices -Congestion management in transmission lines using demand response program -Congestion management in transmission lines by effective integration of FACTS and dispatchable demand response program -Facilitating large penetration of wind power generation into the system by effective utilisation of dispatchable demand response program To be able to cover the above objectives, the thesis first developed a method to find the optimal location of static var compensator (SVC) and thyristor control series compensator (TCSC). A multi-objective optimisation is developed and optimised using non-dominated genetic algorithm to find the optimum location for installing the FACTS devices in the network. In SVC allocation, the objective function covers minimising the SVC installation cost, voltage deviation, maximising the load ability of the transmission lines and minimising the active power loss. In the case of TCSC allocation, the objectives are minimising the investment cost, maximising the loadability of transmission system and minimising the transmission active power loss. To optimise the proposed multi-objective functions non-dominated sorting genetic algorithm which is one of the well-developed member of evolutionary algorithm methods is selected. After determining the optimal location and sizes of SVC and TCSC in the electricity network, a multi-objective approach is applied to find the optimum location for dispatchable demand response program.