Optimization of biomass fuelled systems for distributed power generation using Particle Swarm Optimization

López, P. Reche; Gonzalez, MA; Ruiz-Reyes, N.

doi:10.1016/j.epsr.2008.01.005

Cited by 47 publications

(19 citation statements)

References 12 publications

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“…Generally, the average higher HV on a dry basis is approximately 3.90-5.01 MJ t −1 [47,[50][51][52]. These higher HVs were found to be similar to those of agricultural residues (4.16-4.72 MJ t −1 [50]) and to woody material (5.00-5.27 MJ t −1 [50]).…”

Section: Power Model Of a Bfgementioning

confidence: 68%

“…The statistical and non-statistical data concerning the amount of biomass available for each nth RDS node in the ENDE 100 RDS area, i.e., A n , τ n , D n , were obtained from databases and geographic information systems [67][68][69][70][71]. The statistical data of the higher HV of the biomass was found in [51,52]. References [10,72,73] provide more information on BFGE global efficiency which ranges between 0.16 and 0.25 p.u.…”

Section: Ev Datamentioning

confidence: 99%

“…The higher HV of the biomass H b is assumed to be a random variable with a normal distribution [50][51][52].…”

Section: Power Model Of a Bfgementioning

confidence: 99%

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Probabilistic Load-Flow Analysis of Biomass-Fuelled Gas Engines with Electrical Vehicles in Distribution Systems

Ruíz-Rodríguez

Hernández

2017

Energies

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Feeding biomass-fueled gas engines (BFGEs) with olive tree pruning residues offers new opportunities to decrease fossil fuel use in road vehicles and electricity generation. BFGEs, coupled to radial distribution systems (RDSs), provide renewable energy and power that can feed electric vehicle (EV) charging stations. However, the combined impact of BFGEs and EVs on RDSs must be assessed to assure the technical constraint fulfilment. Because of the stochastic nature of source/load, it was decided that a probabilistic approach was the most viable option for this assessment. Consequently, this research developed an analytical technique to evaluate the technical constraint fulfilment in RDSs with this combined interaction. The proposed analytical technique (PAT) involved the calculation of cumulants and the linearization of load-flow equations, along with the application of the cumulant method, and Cornish-Fisher expansion. The uncertainties related to biomass stock and its heating value (HV) were important factors that were assessed for the first time. Application of the PAT in a Spanish RDS with BFGEs and EVs confirmed the feasibility of the proposal and its additional benefits. Specifically, BFGEs were found to clearly contribute to the voltage constraint fulfilment. The computational cost of the PAT was lower than that associated with Monte-Carlo simulations (MCSs).

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Section: Power Model Of a Bfgementioning

confidence: 68%

Section: Ev Datamentioning

confidence: 99%

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Probabilistic Load-Flow Analysis of Biomass-Fuelled Gas Engines with Electrical Vehicles in Distribution Systems

Ruíz-Rodríguez

Hernández

2017

Energies

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“…In this BPSO approach [6], a very important parameter is probability P x , here called inertial probability. As just stated, bits in x i are '0' with probability P x .…”

Section: Binary Particle Swarm Optimization (Pso)mentioning

confidence: 99%

“…Steam reforming of hydrocarbons, partial oxidation of heavy oil residues, selected steam reforming of aromatic compounds, and gasification of coals and solid wastes to yield a mixture of H 2 and CO, accompanied by water-gas shift conversion to produce H 2 and CO 2 , are well-proved processes [5]. Also, the use of olive tree residues, like that of any other biomass, can contribute to sustainable development in rural areas [6].…”

Section: Introductionmentioning

confidence: 99%

A Honey Bee Foraging approach for optimal location of a biomass power plant

et al. 2010

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Optimal multi‐period operational planning for steam power system in petrochemical enterprise with consideration of environmental costs in China

2011

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Steam power system (SPS) is a major source of both energy consumption and pollutants. In order to reduce the operational costs for petrochemical industry, the SPS should be operated under an optimal scheme. A SPS model is proposed to take into account the depreciation of equipments, changeover costs, and environmental costs. By applying an improved particle swarm optimisation (PSO) algorithm, the optimal operation scheme has been obtained. One example has been investigated to compare the different units and fuel selection in SPS and also the operation periods of SPS taking in account the power import/export policy and environmental cost.Le systèmeà vapeur (SV) constitue une source importanteà la fois de consommation d'énergie et de polluants. Dans le but de réduire les coûts d'utilisation pour l'industrie pétrochimique, le SV doit fonctionner selon un plan optimal. Un modèle de SV est proposé pour prendre en compte la dépréciation de l'équipement, les coûts de conversion et les coûts environnementaux. En appliquant un algorithme amélioré d'optimisation par essaims particulaires (OEP), on a obtenu le plan de fonctionnement optimal. Un exemple aété analysé dans le but de comparer les différentes unités et le choix de carburant dans le SV, ainsi que les périodes de fonctionnement du SV en prenant en compte la politique d'importation et d'exportation d'énergie et le coût environnemental.

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Optimization of biomass fuelled systems for distributed power generation using Particle Swarm Optimization

Cited by 47 publications

References 12 publications

Probabilistic Load-Flow Analysis of Biomass-Fuelled Gas Engines with Electrical Vehicles in Distribution Systems

Probabilistic Load-Flow Analysis of Biomass-Fuelled Gas Engines with Electrical Vehicles in Distribution Systems

A Honey Bee Foraging approach for optimal location of a biomass power plant

Optimal multi‐period operational planning for steam power system in petrochemical enterprise with consideration of environmental costs in China

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