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

This study presents a new methodology for the optimal allocation of switching devices in radial electrical distribution systems (EDSs). A specialised greedy randomised adaptive search procedure (GRASP) algorithm defines the location of a number of switching devices in order to simultaneously improve...

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Vydané v:IET generation, transmission & distribution Ročník 10; číslo 11; s. 2792 - 2801
Hlavní autori: López, Juan Camilo, Franco, John Fredy, Rider, Marcos J
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: The Institution of Engineering and Technology 04.08.2016
Predmet:
136‐node distribution system
Algorithms
Allocations
convex optimisation tools
convex programming
Cost engineering
cost minimisation
cost reduction
Devices
dispatchable DG resource
distributed power generation
EDS optimal reconfiguration
EDS optimal service restoration
energy loss improvement
greedy algorithms
greedy randomised adaptive search procedure algorithm
integer programming
investment cost
linear programming
linearisation strategy
linearisation techniques
MILP model
mixed integer linear programming model
mixed integer nonlinear programming model
nondispatchable DG resource
optimisation subproblem
optimisation‐based switch allocation
Optimization
power distribution economics
power distribution reliability
power generation dispatch
power generation economics
power system restoration
radial electrical distribution system
randomised algorithms
Regular Papers
search problems
Service restoration
switch allocation algorithm objective function
Switches
Switching
cost minimisation
integer programming
nondispatchable DG resource
dispatchable DG resource
linear programming
distributed power generation
radial electrical distribution system
power generation economics
linearisation strategy
136-node distribution system
MILP model
EDS optimal service restoration
convex optimisation tools
search problems
cost reduction
optimisation subproblem
linearisation techniques
greedy algorithms
optimisation-based switch allocation
convex programming
power distribution economics
randomised algorithms
investment cost
power generation dispatch
switch allocation algorithm objective function
power distribution reliability
energy loss improvement
mixed integer nonlinear programming model
EDS optimal reconfiguration
mixed integer linear programming model
power system restoration
greedy randomised adaptive search procedure algorithm
ISSN:1751-8687, 1751-8695
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Popis
Shrnutí:This study presents a new methodology for the optimal allocation of switching devices in radial electrical distribution systems (EDSs). A specialised greedy randomised adaptive search procedure (GRASP) algorithm defines the location of a number of switching devices in order to simultaneously improve the following optimisation subproblems related to the use of the allocated switches: (i) the optimal reconfiguration of EDS and (ii) the optimal service restoration of EDS. Eventually, the objective function of the proposed switch allocation algorithm minimises the cost of the total expected energy not supplied, computed after deploying the service restoration, plus the cost of the total annual energy loss computed for every load level in a year, plus the investment costs associated with the number of installed switches. Both optimisation subproblems, i.e. the reconfiguration and the restoration of EDS, are represented by mixed-integer non-linear programming (MINLP) models and transformed into mixed-integer linear programming (MILP) models, using linearisation strategies. MILP models guarantee convergence to optimality by using convex optimisation techniques. Finally, all tests were carried out using a real 136-node distribution system, considering dispatchable and non-dispatchable distributed generation resources.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2015.1509