The implementation of meta-heuristic algorithm in defining the optimal solution for distribution network reconfiguration has been addressed by many researchers over the years. Nonetheless, the solution in minimizing the main objective which is total power losses could not be solved until today. In this study, the hybridization of evolutionary particle swarm optimization has been modified in ord...

In this paper, a new codification is proposed for variousmeta-heuristic techniques to solve the reconfiguration problem of distribution networks. The full potential of meta-heuristic algorithms can be exploited by their efficient codification using some engineering knowledge base. The distribution system reconfiguration problems are non-differentiable, mixed integer and highly complex combinato...

In a carbon-constrained world, natural gas with low emission intensity plays an important role in the energy consumption area. Energy consumers and distribution networks are linked via energy hubs. Meanwhile, reconfiguration that optimizes operational performance while maintaining a radial network topology is a worldwide technique in the electricity distribution system. To improve the overall e...

Node importance degree is a vital index in distribution network reconfiguration because it reflects the robustness of the network structure by evaluating node importance. Since the traditional reconfiguration ignores this index, the reconstructed network structure may be vulnerable which would reduce the security and stability of the distribution systems. This paper presents a novel reconfigura...

Abstract—This paper presents an efficient algorithm for optimization of radial distribution systems by a network reconfiguration to balance feeder loads and eliminate overload conditions. The system load-balancing index is used to determine the loading conditions of the system and maximum system loading capacity. The index value has to be minimum in the optimal network reconfiguration of load b...

In this paper, the reconfiguration of distribution networks in order to optimize several aspects of its operation is presented. The proposed methodology based on genetic algorithms finds the optimal reconfiguration for networks which have a radial topology, taking in consideration the expected occurrence of voltage sags reduction and also the real power losses. The developed functions of the ge...

Dynamic reconfiguration is becoming an important requirement of current software systems as they have a trend towards running continuously and updating frequently. The main purpose is to reduce the update cost caused by system shutdown or restart. Controlling the influence of dynamic reconfiguration on system performance is an essential yet difficult issue. Many factors have to be considered an...

In this paper, a combination of simulated annealing (SA) and intelligent water drops (IWD) algorithm is used to solve the nonlinear/complex problem of simultaneous reconfiguration with optimal allocation (size and location) of wind turbine (WT) as a distributed generation (DG) and dynamic voltage restorer (DVR) as a distributed flexible AC transmission systems (DFACT) unit in a distribution sys...

Power loss and voltage instability are major problems in distribution systems. However, these typically mitigated by efficient network reconfiguration, including the integration of distributed generation (DG) units network. In this regard, optimal placement sizing DGs crucial. Otherwise, performance will be degraded. This study is conducted to optimally locate into a radial before after reconfi...

Software-based reconfiguration of distributed realtime systems is a complex problem with many sides to it ranging from system-wide concerns down to the intrinsic nonrobust nature of the specific middleware layer and the used programming techniques. In a completely open distributed system, mixing reconfiguration and real-time is not possible; the set of possible target states can be very large t...