Summary
In capacitor placement problem, since problem dimension is high and there are many local optima, optimization techniques may be trapped in local optima. Identification of high potential busses for capacitor placement leads to reducing search space and approaching to optimal solution especially for large distribution networks. This study proposes a new approach based on power loss index to identify high potential busses for capacitor placement in radial distribution networks. After identification of high potential busses (phase 1), a recently developed metaheuristic technique, crow search algorithm, is utilized for solving the optimization problem (phase 2). On test systems, simulation results confirm the usefulness of the proposed approach in comparison with the other methodologies.
This paper presents the Locational Load Shedding Marginal Pricing (LSMP), a useful index for market-based real time intelligent load shedding problems. This parameter is welldescribed by introducing the load shedding program as an optimization problem very similar to, but in inverse vision, to Economic Dispatch (ED) problem. The load shedding is formulated as an optimal non-linear constrained problem. The LSMPs are calculated for some test systems and the simulation results are demonstrated as a function of active power. The LSMP curves that are finally shown demonstrate the practical advantages of the proposed index for real-time intelligent load shedding schemes.
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