Multi‐objective short‐term scheduling of thermoelectric power systems using a novel multi‐objective θ ‐improved cuckoo optimisation algorithm

Coordination of combined heat and power-thermal-wind-photovoltaic units in economic load dispatch using chance-constrained and jointly distributed random variables methods

“…In these cases, the "Best solution" is replaced by the "most preferred solution". A general MOOP can be mathematically expressed as follows [43,45]:…”

“…This method works based on the dominance concept, the vector X 1 dominatesX 2 , when the following conditions are satisfied [43,45]: …”

A virus-evolutionary differentiated-PSO approach for short-term generation scheduling with uncertainties

“…Thus, when these methods are used to solve the generation scheduling problem, they are severely limited. Recently, many heuristic optimization algorithms such as differential evolution (DE) , evolutionary algorithm (EA) , genetic algorithm (GA) , particle swarm optimization (PSO) , artificial bee colony algorithm , and cuckoo optimization algorithm have been developed for solving the generation scheduling problems. Reference used a DE technique for solving combined economic emission scheduling problem considering cascaded reservoirs.…”

“…The results from the proposed method are compared with those from other intelligent algorithms. The test results show that the proposed method can indeed obtain a better solution.algorithm (GA) [9-11], particle swarm optimization (PSO) [12][13][14], artificial bee colony algorithm [15,16], and cuckoo optimization algorithm [17] have been developed for solving the generation scheduling problems. Reference [4] used a DE technique for solving combined economic emission scheduling problem considering cascaded reservoirs.…”

Optimal Location of IPFC for Improving Power System Performance Using Cuckoo Search Algorithm

“…Distributed network reconfiguration for power loss minimization, load frequency control, voltage profile improvement for nonlinear interconnected power system using CS algorithm has been studied [14], [15]. Multi-objective short-term scheduling and non-convex economic dispatch considering system characteristics including valve-point effects, multiple fuels, prohibited zones and power loss using CS method has been studied [16], [17]. Line utilization factor (LUF) is used to determine the percentage of loading by DOI: 10.9790/1676-1104013343 www.iosrjournals.org 34 | Page considering real and reactive power flowing in the line [18].…”