30 research outputs found
Optimal Power Flow approach to manage Dispersed Generation rise and passive load energy needs over a distribution grid
The assessment of power system vulnerabiliy induced by lack of reactive power resources following severe contingencies
Assessing the Mvar generation values to price the reactive support to a hierarchical voltage control
A genetic algorithm- based procedure to optimize system topology against parallel flows
Parallel (or loop) flows consist in the undesired circulation of power flows through certain interconnection corridors. Remedial actions available to transmission system operators or system planners include installation and operation of phase-shifting transformers and of dc transmission systems.
Moreover, the invaluable experience of transmission system
operators has shown that the network can be operated so as to reduce parallel flows also by properly selecting the topology of the system. In the present paper, a genetic algorithm-based procedure is designed for the topological optimization of the network against parallel flows. The control variables considered are the status of substation breakers and the location (and angle) of phase-shifting transformers. The problem is formulated as a multiobjective optimization.
The main objective is that of reducing the power transfer
distribution factor of an assigned transaction with reference to a set of lines; N and N-1 security levels are accounted for by means of subsidiary objective functions. The procedure is tested on a small CIGRE sample system and on a 4500-bus network representative of the European electric system (UCTE)