| The objective of this research is to address some of the challenges associated with the multi-objective optimization on a modern power system. In particular, optimization of reactive resources was performed in order to simultaneously optimize several criteria: transmission losses, distribution losses, voltage stability, etc. The optimization was performed simultaneously on the entire power system; transmission and distribution subsystems included.;The inherent physical complexity of modeling together transmission and distribution systems is considered first. After considering all pros and cons for such a task, a model of the entire power system is successfully established using the available test system explained in Section 9.;The inherent mathematical complexity of high-dimensional optimization space is resolved by introducing the decoupling principle. System is first decoupled in several independent models (transmission system and distribution subsystems) and independent optimizations are performed on each part of the system. An algorithm is developed that properly combines the independent solutions to reach the overall system optima. Even with the decoupled systems the multi-objective optimization space was immense for any conventional optimization algorithm.;The principle of algorithm synthesis is used to reduce the size of the solution space. Deterministic algorithms are used to locate the local optima which are subsequently refined by probabilistic algorithm. All the algorithms are customized for the problem at hand and the multi-objective optimization framework.;The algorithm is applied on a real-life test system and it is shown that the obtained solutions outperform the solution obtained with the conventional algorithm. |
