Static/dynamic optimal dispatch of energy and reserve using recurrent differential evolution

Dynamic scheduling of operating energy and reserve in electricity market with ramp rate constraints

“…The static energy and reserve dispatch (SERD) finds optimal operating schedules at a specific time and do not take into account the system behavior with changing load scenarios at different time moments. But the DERD takes into account the practical system operation at different time moments [2]. This is done by modeling the limit on the hourly climbing rate of a generator.…”

A differential evolution particle swarm optimizer for various types of multi-area economic dispatch problems

“…Sharma et al solved MAED and reserve constrained MAED (RCMAED) problems using various DE methods enhanced with time-varying mutation [50] and the improved PSO method with a parameter automation strategy having time varying acceleration coefficients (PSO_TVAC) [51]. Many other heuristic search techniques have been proposed for solving economic dispatch problem, such as a pattern search (PS) algorithm [52], an improved multi-objective PSO (MOPSO) for solving multi-area environmental/economic dispatch (MAEED) problem [53], the direct search method (DSM) [54], a new recurrent DE (RDE) method [55], PSO algorithm [56], a penalty function-hybrid direct search method (PF-HDSM) for solving multi-area wind-thermal coordination dispatch (MWCD) problem [57], enhanced direct search method (EDSM) [58], a novel approach based on harmony search (HS) algorithm [59], the optimality condition decomposition (OCD) for solving multi-area dynamic economic dispatch (MA-DED) problem [60], and different novel search approaches for solving multi-area generation scheduling such as neural networks approach [61], traditional economic dispatch method [62], modification of MAED [63], a new DE algorithm [64], an embedded multi-area optimal power flow (MA-OPF) [65], a new proposed technique [66], a decomposition methodology [67,68], a practical approach [69], a generalized unified power flow controller [70], and evolutionary programming [71].…”

Precise equivalent model of small hydro generator cluster and its parameter identification using improved Grey Wolf optimiser

“…In addition, the parameter identification of equivalent model becomes a complex discontinuous multimodal and non‐convex landscape optimisation problem. The traditional optimisation algorithms such as PSO [18], gravitational search algorithm (GSA) [19] and differential evolution (DE) [20] do not perform good accuracy for identification.…”