Methodology for allocation of remotely controlled switches in distribution networks based on a fuzzy multi-criteria decision making algorithm

Optimal allocation of distributed generation and remote control switches for reliability enhancement of a radial distribution system using oppositional differential search algorithm

“…However, ODS outperforms DS and DE in terms of simulation time. Table 9 shows that, for the multi-objective formulation, the average value of objective function obtained by ODS algorithm is close to the minimum value to a greater extent as compared to the average and 3,5,6,7,8,10,11,12,13,16,19,20,21,22,23,26,28,31 ,32 1041400 8069900 DS 0 -0 6999200 3, 6, 7, 11, 14, 15, 16, 20, 22, 23, 24, 27, 28, 29, 32 822162 7821362 ODS 0 -0 6768300 2,3 ,4,5,9, 12, 13, 15, 17, 20, 21, 23, 24, 25, 27, 28, 29, 31, 32 1041400 7809700 minimum values of DS algorithm and DE. This proves ODS to be better in terms of robustness.…”

“…where Q denotes the total number of individual objective functions in (10), M is the number of non-dominated solutions. After completion of the process, the best solution of the problem is obtained.…”

Optimisation‐based switch allocation to improve energy losses and service restoration in radial electrical distribution systems

“…a decomposition approach [18], dynamic programming [19], and mixed‐integer linear programming (MILP) [20]. Moreover, Bernardon et al [21, 22] have proposed enhanced decision‐making algorithms based on the conflicting and, sometimes, subjective characteristics of the problem.…”

“…Like most EDS planning and operation problems, the optimal switch allocation problem has multiple, conflicting objectives that depend on the reliability assessment methodology and the goal of the optimisation process. Customer‐oriented reliability indices such as SAIDI and SAIFI have been explicitly minimised by authors in [4–6, 10, 21, 22]. Other reliability indices considered in the specialised literature are the EENS [4, 11, 13, 17, 18], the Expected Outage Cost (ECOST) [4, 7–9, 20], and other reliability costs associated with customer interruptions and unsupplied demand, calculated for each allocation proposal [7, 12, 14–16, 19].…”

Optimization of Switch Allocation in Power Distribution Systems

“…Urban area reliability improvement risk management approaches are not focusing on mean values of reliability but rather on risks of long and widespread outages, identifying main risks, e.g., situation that can DOI: 10.22618/TP.EI.20151.192027 L. Zemite, J. Gerhards, M. Gorobetz, A. Levchenkov Optimization of Switch Allocation in Power Distribution Systems lead to outages > 2 MW and/or duration > 6 hrs, estimating probability of these events. Various simulation methods have been proposed to address the switch allocation problem, such as genetic algorithms [4], [4], evolutionary algorithms [5], simulated annealing [3], particle swarm optimization [4], ant colony optimization [6], and other specialized methods [7]. An exact dynamic programming algorithm [8] has also been proposed to solve the switch allocation problem.…”