• No se han encontrado resultados

A mixed integer distribution network planning model using a tight power flow relaxation

N/A
N/A
Protected

Academic year: 2020

Share "A mixed integer distribution network planning model using a tight power flow relaxation"

Copied!
57
0
0

Texto completo

Loading

Figure

Figure 1.1. Power Systems Structure
Figure 5.1. Initial topology of the 24-node power distribution test system.
Table 5.1. Investment Data for Feeders and Substations
Figure 5.2. DNP Results for the No Integration Case
+7

Referencias

Documento similar

“with moderate socialists on the Portuguese and Spanish horizon”, was planning “a change in its previous hegemony”, Sá Carneiro was portrayed as the father of the

Our approach to generating HTNs from the model and a single planning instance and using them to solve larger instances of the same planning domain can be viewed as a form of

What is perhaps most striking from a historical point of view is the university’s lengthy history as an exclusively male community.. The question of gender obviously has a major role

The Genetic Algorithm for Mission Planning Problems (GAMPP) is a genetic al- gorithm to solve mission planning problems using a team of UAVs.. This section describes this

Abstract—This paper proposes a novel application of the Stewart–Gough parallel platform as a climbing robot and its kine- matics control to climb through long structures

From a network planning perspective, the problem of finding the lightpaths to accommodate a given traffic demand is called the routing and wavelength assignment (RWA) problem

The new approaches used in global path planning are Genetic Algorithm [4, 5], Neural Network [6] and Ant Colony Optimization (ACO) [7, 8]. Local path planning algorithms [9, 10]

The above analysis leads to an experimental scenario characterized by precise mea-.. Figure 4: The allowed region of Soffer determined from the experimental data at 4GeV 2 ,