Metaheuristic and probabilistic techniques for optimal allocation and size of biomass distributed generation in unbalanced radial systems

In this study, a method for solving a probabilistic three-phase power flow in radial distribution networks and taking into account the technical constraints of the system is presented. Regulation of voltage is one of the main problems to be taken into account in networks with distributed generation. The present study introduces a probabilistic model to determine the performance of the distribution system. This study considers the random nature of lower heating value of biomass and loads. This study presents a new hybrid technique combining the shuffled frog leaping algorithm with probabilistic three-phase power flow that is solved by Monte Carlo method. Feasible results are achieved in a few iterations. The results show that the proposed technique can be applied to keep the voltages within the limits specified at each node of a distribution network with biomass power plants. The outcomes are attained using the unbalanced distribution system IEEE-13 node and connecting biomass power plants at some nodes. This study shows that the power losses and voltage unbalance are reduced as a result of the inclusion of distributed generation.

[1]  Guido Carpinelli,et al.  Probabilistic three-phase load flow for unbalanced electrical distribution systems with wind farms , 2007 .

[2]  Francisco Jurado,et al.  Optimal placement and sizing from standpoint of the investor of Photovoltaics Grid-Connected Systems using Binary Particle Swarm Optimization , 2010 .

[3]  Francisco Jurado,et al.  Neuro-fuzzy controller for gas turbine in biomass-based electric power plant , 2002 .

[4]  Francisco Jurado,et al.  Optimization of distributed generation systems using a new discrete PSO and OPF , 2012 .

[5]  John Gow,et al.  Simple procedure for optimal sizing and location of a single photovoltaic generator on radial distribution feeder , 2014 .

[6]  Francisco Jurado,et al.  Reliability optimization of an electric power system by biomass fuelled gas engine , 2014 .

[7]  Nicolás Ruiz-Reyes,et al.  Comparison of metaheuristic techniques to determine optimal placement of biomass power plants , 2009 .

[8]  Giuseppe Marco Tina,et al.  Optimal hydrogen storage sizing for wind power plants in day ahead electricity market , 2007 .

[9]  Francisco Jurado,et al.  Particle swarm optimization for biomass-fuelled systems with technical constraints , 2008, Eng. Appl. Artif. Intell..

[10]  Francisco Jurado,et al.  Optimization of radial systems with biomass fueled gas engine from a metaheuristic and probabilistic point of view. , 2013 .

[11]  Francisco Jurado,et al.  A binary SFLA for probabilistic three-phase load flow in unbalanced distribution systems with technical constraints , 2013 .

[12]  George J. Cokkinides,et al.  A new probabilistic power flow analysis method , 1990 .

[13]  Francisco Jurado,et al.  Hybrid discrete PSO and OPF approach for optimization of biomass fueled micro-scale energy system , 2013 .

[14]  Ulas Eminoglu,et al.  Distribution Systems Forward/Backward Sweep-based Power Flow Algorithms: A Review and Comparison Study , 2008 .

[15]  Muzaffar Eusuff,et al.  Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization , 2006 .

[16]  Barbara Borkowska,et al.  Probabilistic Load Flow , 1974 .

[17]  Guido Carpinelli,et al.  Probabilistic three-phase load flow , 1999 .

[18]  Nouredine Hadjsaid,et al.  Probabilistic load flow for voltage assessment in radial systems with wind power , 2012 .

[19]  D. Shirmohammadi,et al.  A three-phase power flow method for real-time distribution system analysis , 1995 .

[20]  Xiao-Ping Zhang,et al.  Asymmetrical three-phase load-flow study based on symmetrical component theory , 1994 .

[21]  F. Jurado,et al.  Probabilistic load flow for photovoltaic distributed generation using the Cornish–Fisher expansion , 2012 .

[22]  Francisco Jurado,et al.  Optimization of biomass fuelled systems for distributed power generation using Particle Swarm Optimization , 2008 .

[23]  Anula Khare,et al.  Optimal sizing of a grid integrated solar photovoltaic system , 2014 .

[24]  R.N. Allan,et al.  Evaluation Methods and Accuracy in Probabilistic Load Flow Solutions , 1981, IEEE Transactions on Power Apparatus and Systems.