Optimizing Design of Stand-alone Hybrid Solar Micro-CHP Systems Using LUS Based Particle Swarm Optimization Algorithm
Authors
Abstract:
Utilizing the combined cooling, heating and power generation (CHP) systems to produce cooling, heat and electricity is growing rapidly due to their high efficiency and low emissions in commercial and industrial applications. In conventional CHP systems the deficit of the system power can be purchased from the grid. However, this system cannot be used as the standalone application. The hybrid solar micro-CHP system can be worked as a standalone system for remote areas and other places which the access to grid is hard and costly. In this paper, by using energy and economic analyses, the type and the number of the required microturbines for the specific electricity and heat load curves during a year are selected. For performing this task, maximizing the actual annual benefit of the system is considered as objective function. Then, particle swarm optimization (PSO) algorithm and local unimodal sampling (LUS) technique is developed to calculate the type and number of prime mover and also the area of photovoltaic panels.
similar resources
Economic Dispatch of Power Systems using Hybrid Particle Swarm Algorithm based on Sin-Cos Accleration Coefficient
Abstract: Distribution economic burden in power system is one of the important and essential issues in power plant production planning. This thesis presents the economic burden for generating power plants with smooth and uneven functions and considering the constraints of the power plant (steam valve, forbidden areas, with and without transmission losses) in a multi-generator power system. The ...
full textOptimizing question answering systems by Accelerated Particle Swarm Optimization (APSO)
One of the most important research areas in natural language processing is Question Answering Systems (QASs). Existing search engines, with Google at the top, have many remarkable capabilities. But there is a basic limitation (search engines do not have deduction capability), a capability which a QAS is expected to have. In this perspective, a search engine may be viewed as a semi-mechanized QA...
full textOptimization of grid independent diesel-based hybrid system for power generation using improved particle swarm optimization algorithm
The power supply of remote sites and applications at minimal cost and with low emissions is an important issue when discussing future energy concepts. This paper presents modeling and optimization of a photovoltaic (PV)/wind/diesel system with batteries storage for electrification to an off-grid remote area located in Rafsanjan, Iran. For this location, different hybrid systems are studied and ...
full textoptimal design and operation of irrigation pumping systems using particle swarm optimization algorithm
this paper presents a relatively new management model for the optimal design and operation of irrigation water pumping systems. the model makes use of the newly introduced particle swarm optimization algorithm. a two step optimization model is developed and solved with the particle swarm optimization method. the model first carries out an exhaustive enumeration search for all feasible sets of p...
full textDesign of the Compact Ultra-Wideband (UWB) Antenna Bandwidth Optimization Using Particle Swarm Optimization Algorithm
In this paper a particle swarm optimization (PSO) algorithm is presented to design a compact stepped triangle shape antenna in order to obtain the proper UWB bandwidth as defined by FCC. By changing the various cavity dimensions of the antenna, data to develop PSO program in MATLAB is achieved. The results obtained from the PSO algorithm are applied to the antenna design to fine-tune the bandwi...
full textDesign of Tcsc-based Controller Using Particle Swarm Optimization Algorithm
Design of an optimal controller requires optimization performance measures that are often noncommensurable and competing with each other. Design of such a controller is indeed a particle swarm optimization (PSO) problem. This paper investigates the comparison of application of PSO based optimization technique and Differential Evolution (DE) for the design of a Thyristor Controlled Series Compen...
full textMy Resources
Journal title
volume 21 issue 1
pages 5- 20
publication date 2020-03-15
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023