Scheduling of domestic shiftable loads via Cuckoo search optimization algorithm

Practical approximations and heuristic approaches for managing shiftable loads in the multi-period optimal power flow framework

“…In the case of uninterruptible SLs (whose operation may not halt before completing their CT), an additional constraint must be placed to ensure that the first nonzero binary variable is followed by CT s − 1 non-zero binary variables. The SL thus fulfils the uninterrupted operation requirement or continuity mandate (15). Do note that ( 15) is in fact a set of constraints:…”

“…Meta-heuristics and probabilistic approaches have also received some attention in the past. Examples include [15], where the cuckoo search algorithm is employed for optimal SL management without resorting to SL modelling, and [16], where SL modelling is avoided by employing a probabilistic scheduling algorithm based on sophisticated smart meters.…”

“…The MINLP MP-OPF (discrete SL) is described by ( 1)- (15). The NLP MP-OPF (continuous SL) is described by ( 1)-( 14), ( 16)- (17).…”

Impact of Divergence in BBO on Efficient Energy Strategy of Demand Side Management

“…If talking about these algorithms, the flow starts with the initial solution set and successive increments in runs with incorporation of various operators. Particle Swarm Optimization used to carried out hourly scheduling in grid [20], optimal battery energy storage schedule [21], demand response for residential consumers [22] and economic load dispatch problem [23], Cuckoo Search Optimization Algorithm used to carried out optimal scheduling of time shift-able loads [24,25], Spider Monkey Optimization (SMO) used for allocation of DGs for management of demand side [26], Bat Algorithm used to optimize the cost in home energy management system [27], Firefly Optimization used to construct the efficient DSM system [28] and in this flow, Fruit Fly Optimization used load balancing for the applications of EHR [29] and Grasshopper Optimization Algorithm [30] used to design an efficient energy management in office. Gravitational Search Algorithm used optimal scheduling of building users electricity consumption in [31] and unit commitment problem solved for electric vehicles using GSA in [32].…”