An Efficient Mathematical Model for Distribution System Reconfiguration Using AMPL

Abstract

Distribution network is an essential part of electric power system, which however has higher power losses than transmission system. Distribution losses directly affect the operational cost of the system. Therefore, power loss reduction in distribution network is very important for distribution system users and connected customers. One of the commonly used ways for reducing losses is distribution system reconfiguration (DSR). In this process, configuration of distribution network changes by opening and closing sectional and tie switches in order to achieve the lowest level of power losses, while the network has to maintain its radial configuration and nodal voltage limits, and supply all connected loads. The DSR aiming loss reduction is a complex mixed-integer optimization problem with a quadratic term of power losses in the objective function and a set of linear and non-linear constraints. Accordingly, distribution network researchers have dedicated their efforts to developing efficient models and methodologies in order to find optimal solutions for loss reduction via DSR. In this paper, an efficient mathematical model for loss minimization in distribution network reconfiguration considering the system voltage profile is presented. The model can be solved by commercially available solvers. In the paper, the proposed model is applied to several test systems and real distribution networks showing its high efficiency and effectiveness for distribution systems reconfiguration.INDEX TERMS Efficient mathematical model, electric power distribution systems, loss reduction, network reconfiguration, voltage profile.

Self-Adaptive Dragonfly Algorithm for Optimal Allocation of Multiple Energy Storage Systems with VAr Support for Islanded Microgrid Operation

“…On the other hand, network reconfiguration along with DGs and CBs can further improve the network performance. [35], mixed-integer particle swarm optimization (MIPSO) [36], genetic algorithm [37], self-adaptive butterfly algorithm (SABOA) [38], and honey badger algorithm [HBA] [39], and many other algorithms as seen in [40], have been used for simultaneous DGs/CBs allocation and network reconfiguration. In this connection, the current work can be further extended for reconfiguration.…”

A Novel Solution Method for the Distribution Network Reconfiguration Problem Based on a Search Mechanism Enhancement of the Improved Harmony Search Algorithm

“…Different ways of minimizing active power losses in distribution networks are reported in the specialized literature. These include the repowering of conductors [5], location of new elements such as distributed generation (DG) [6,7] and network reconfiguration [8,9]. The latter consists of opening and closing switches, keeping the radial topology of the network with the main objectives of loss reduction and voltage improvement.…”

“…Nonetheless, this methodology depends on a set of parameters that must be tuned for each specific system. In addition, according to [8], the approximations implemented may degrade the performance of the model when solving highly non-linear combinatory problems.…”

Optimal Operational Reliability and Reconfiguration of Electrical Distribution Network Based on Jellyfish Search Algorithm

“…However, the operational reliability and voltage stability in distribution networks were completely ignored. In [22], an algebraic modeling language of CPLEX solver was applied for the PNR problem in the distribution networks. Despite the high robustness of CPLEX solver, the minimization of power losses has been utilized as a single objective task.…”

“…In this study, the considered objective function was conducted with uncertainty probability beside uncertain amounts in load demand. Despite the effective implementations of [21][22][23][24][25], the operational reliability and voltage stability in distribution networks were completely ignored.…”