Search Results - subject:"Particle Swarm Optimization"

A hybrid method for simultaneous optimization of DG capacity and operational strategy in microgrids considering uncertainty in electricity price forecasting

Moradi, Mohammad H.; Eskandari, Mohsen - In: Renewable Energy 68 (2014) C, pp. 697-714

programming (QP) and the particle swarm optimization (PSO) algorithms to determine the optimum capacity of the sources as well as …

Persistent link: https://www.econbiz.de/10010804045

Determination of reliability constrained optimal resource mix for an autonomous hybrid power system using Particle Swarm Optimization

Paliwal, Priyanka; Patidar, N.P.; Nema, R.K. - In: Renewable Energy 63 (2014) C, pp. 194-204

. Particle Swarm Optimization (PSO) has been used to determine optimal component sizing for each of the configuration. …

Persistent link: https://www.econbiz.de/10010805118

Short term electric load forecasting by wavelet transform and grey model improved by PSO (particle swarm optimization) algorithm

Bahrami, Saadat; Hooshmand, Rahmat-Allah; Parastegari, Moein - In: Energy 72 (2014) C, pp. 434-442

PSO (particle swarm optimization) algorithm. In the proposed model, the weather data including mean temperature, mean …

Persistent link: https://www.econbiz.de/10010807966

Comparison of particle swarm optimization and other metaheuristics on electricity demand estimation: A case study of Iran

Askarzadeh, Alireza - In: Energy 72 (2014) C, pp. 484-491

(particle swarm optimization) is a population-based search technique which has attracted significant attention to tackle the …

Persistent link: https://www.econbiz.de/10010809675

Thermo-economic and environmental optimization of solar assisted heat pump by using multi-objective particle swam algorithm

Khorasaninejad, Ehsan; Hajabdollahi, Hassan - In: Energy 72 (2014) C, pp. 680-690

selected as design parameters. MOPSO (Multi-objective Particle Swarm Optimization) algorithm is used to find the optimum value …

Persistent link: https://www.econbiz.de/10010809735

Distribution expansion planning considering reliability and security of energy using modified PSO (Particle Swarm Optimization) algorithm

Aghaei, Jamshid; Muttaqi, Kashem M.; Azizivahed, Ali; … - In: Energy 65 (2014) C, pp. 398-411

MPSO (modified Particle Swarm Optimization) algorithm is developed and used for this multiobjective MDEP optimization. In …

Persistent link: https://www.econbiz.de/10010809821

A new approach for optimum simultaneous multi-DG distributed generation Units placement and sizing based on maximization of system loadability using HPSO (hybrid particle swarm opt...

Aman, M.M.; Jasmon, G.B.; Bakar, A.H.A.; Mokhlis, H. - In: Energy 66 (2014) C, pp. 202-215

voltage magnitudes are considered as system constraints. HPSO (hybrid particle swarm optimization) algorithm is also proposed …

Persistent link: https://www.econbiz.de/10010811024

Common-value auction versus posted-price selling: an agent-based model approach

Boyer, Christopher; Brorsen, B.; Zhang, Tong - In: Journal of Economic Interaction and Coordination 9 (2014) 1, pp. 129-149

Previous theoretical work has compared a private-value auction and posted-price market, and an affiliated-value auction and a posted-price market to determine the selling method preferred by sellers. Much less, however, is known about the seller’s preferred selling method when the buyers have...

Persistent link: https://www.econbiz.de/10010759789

Enhancing performance of particle swarm optimization through an algorithmic link with genetic algorithms

Deb, Kalyanmoy; Padhye, Nikhil - In: Computational Optimization and Applications 57 (2014) 3, pp. 761-794

algorithmic linking between particle swarm optimization (PSO) algorithm and genetic algorithms (GAs). Specifically, we select the …

Persistent link: https://www.econbiz.de/10010896576

An improved PSO-based charging strategy of electric vehicles in electrical distribution grid

Yang, Jun; He, Lifu; Fu, Siyao - In: Applied Energy 128 (2014) C, pp. 82-92

, EV owners’ degree of satisfaction (DoS), and the power grid cost. An improved particle swarm optimization (PSO) algorithm … performance on the global search capability and optimal result of the improved particle swarm optimization algorithm is verified. …

Persistent link: https://www.econbiz.de/10010784908