Optimal placement and sizing of DG (distributed generation) units in distribution networks by novel hybrid evolutionary algorithm

A hybrid of ant colony optimization and artificial bee colony algorithm for probabilistic optimal placement and sizing of distributed energy resources

“…[11] have employed a hybrid modified shuffled frog algorithm and deferential evolution to determine the optimal location with respect to power losses, energy cost and emissions. Another study has developed a hybrid genetic algorithm (GA) and particle swarm optimization method for multi-objective location and sizing of DERs [12].…”

An efficient scenario-based stochastic programming for optimal planning of combined heat, power, and hydrogen production of molten carbonate fuel cell power plants

“…Furthermore, many different heuristic optimization methods have been applied to solve problems such as Harmony Search [7]; improved particle swarm optimization (PSO) [8]; Modified Teaching Learning Based Optimization algorithm [9]; and some evolutionary algorithms [10,11]. In Ref.…”

“…The minimization of power loss is a conventional objective function for this problem [7,8,10]. Voltage profile as an objective function for the above problem is investigated in Refs.…”

“…The minimization of the electrical energy cost and total emission are considered as objective functions for this problem in Ref. [10]. Rashidi et al modeled MCFCPPs [13].…”

Optimal Placement and Sizing of Renewable Distributed Generations and Capacitor Banks into Radial Distribution Systems

“…The penetration of renewable power in the distribution system is increasing linearly and the fact is that none of the above authors introduced renewable DG as input. In [29][30][31][32] wind, solar, biomass, fuel cell and micro-turbine type of DGs were used for multi-objective DG placement and sizing problems. However, the output power of wind energy and solar PVs are intermittent in nature, so assuming their output power as dispatchable DG will have an adverse effect on system performance.…”