Dynamic behavior prediction of lithium polymer battery for low-power Solar PV applications

With an increase in the amount of renewable, solar photovoltaic in particular, developing efficient energy storage media will become increasingly important. Batteries are one of the most common storage devices, and the maximum runtime and dynamic behavior of batteries play an important role in various energy storage applications. Therefore, it is crucial to understand the battery behavior during charging and discharging operation. This study aims to analyze the properties of a lithium polymer battery to support low-power Solar PV applications through experiment and simulation with a goal of understanding its electrical behavior. A simple experimental test procedure was used to determine the various electric parameters required to develop a model of the battery. Simulations results at various C rates captured the dynamic behavior of the lithium polymer battery, revealing an acceptable trade-off between accuracy and complexity

Comparative study of isotropic and anisotropic sky models to estimate solar radiation incident on tilted surface: A case study for Bhopal, India

The purpose of this study is to compare the different empirical models used for estimation of solar radiation on tilted surface. For this, three isotropic and same number of anisotropic sky models were employed by using average monthly mean value of solar radiation on daily basis at Bhopal, local climatic condition, located in central region of India. The tilt angle was fixed at 23.26°N (latitude of Bhopal). The models results were compared with ground measured data from one sample statistical test. It was found that Hays and Davis model (HD) estimated the highest amount of incident solar radiation in the whole year whereas Badescu model (BA) established the lowest among all isotropic as well as anisotropic models. Finally, Badescu model (BA) was preferred for estimation of solar radiation incident on tilted surface with smallest statistical errors among all models and closed agreement with measured data

A current and future state of art development of hybrid energy system using wind and PV-solar: A review

The wind and solar energy are omnipresent, freely available, and environmental friendly. The wind energy systems may not be technically viable at all sites because of low wind speeds and being more unpredictable than solar energy. The combined utilization of these renewable energy sources are therefore becoming increasingly attractive and are being widely used as alternative of oil-produced energy. Economic aspects of these renewable energy technologies are sufficiently promising to include them for rising power generation capability in developing countries. A renewable hybrid energy system consists of two or more energy sources, a power conditioning equipment, a controller and an optional energy storage system. These hybrid energy systems are becoming popular in remote area power generation applications due to advancements in renewable energy technologies and substantial rise in prices of petroleum products. Research and development efforts in solar, wind, and other renewable energy technologies are required to continue for, improving their performance, establishing techniques for accurately predicting their output and reliably integrating them with other conventional generating sources. The aim of this paper is to review the current state of the design, operation and control requirement of the stand-alone PV solar-wind hybrid energy systems with conventional backup source i.e. diesel or grid. This Paper also highlights the future developments, which have the potential to increase the economic attractiveness of such systems and their acceptance by the user.Hybrid energy systems PV-solar Wind Pre-feasibility Modeling Optimization Controller

Economic dispatch using particle swarm optimization: A review

Electrical power industry restructuring has created highly vibrant and competitive market that altered many aspects of the power industry. In this changed scenario, scarcity of energy resources, increasing power generation cost, environment concern, ever growing demand for electrical energy necessitate optimal economic dispatch. Practical economic dispatch (ED) problems have nonlinear, non-convex type objective function with intense equality and inequality constraints. The conventional optimization methods are not able to solve such problems as due to local optimum solution convergence. Meta-heuristic optimization techniques especially particle swarm optimization (PSO) has gained an incredible recognition as the solution algorithm for such type of ED problems in last decade. The application of PSO in ED problem, which is considered as one of the most complex optimization problem has been summarized in present paper.Economic dispatch Problem formulation Particle swarm optimization

Minimization of green house gases emission by using hybrid energy system for telephony base station site application

Cellular mobile service is a rapidly expanding and a very competitive business worldwide, including developing countries. This paper proposes that the suitable alternative solution of grid power is the stand-alone PV/wind hybrid energy system with diesel generator as a backup for cellular mobile telephony base station site in isolated areas. It is expected that the newly developed and installed system would provide very good opportunities for mobile telephony base station in near future. In addition, protecting the environment and combating climate change are two of the most pressing challenges facing humankind. As energy prices soar, network operators are increasingly scrutinizing their environmental and social responsibilities. This system will be more cost effective and environmental friendly over the conventional diesel generator. Approximately 70-80% fuel cost over conventional diesel generator and the emission of CO2 and other harmful gasses in environments were reduced.Hybrid energy systems Mobile telecom base station Wind turbine PV-solar Green house gases emissions

Virtual lab based real-time data acquisition, measurement and monitoring platform for solar photovoltaic module

The work presents real-time data acquisition and monitoring of solar photovoltaic modules using LabVIEW. A graphical program has been developed to obtain efficiency and fill factor of solar PV module. A front panel is designed, displaying all the acquired data such as; voltage, current, solar radiation, ambient temperature, humidity, Current vs. Voltage and Power vs. Voltage graphs which make it very useful to understand the performance behavior of the solar photovoltaic module in real time. Data acquisition and monitoring for solar panels of different ratings are carried out. This tool is an effective platform for experimental study in the laboratory of different solar photovoltaic modules with access to real-time data. Keywords: Photovoltaic, Instruments, Labview software, Characteristics, Sensor