Saroj Rangnekar

Review article: A review of particle swarm optimization and its applications in Solar Photovoltaic system

Particle swarm optimization is a stochastic optimization, evolutionary and simulating algorithm derived from human behaviour and animal behaviour as well. Special property of particle swarm optimization is that it can be operated in continuous real number space directly, does not use gradient of an objective function similar to other algorithms. Particle swarm optimization has few parameters to adjust, is easy to implement and has special characteristic of memory. Paper presents extensive review of literature available on concept, development and modification of Particle swarm optimization. This paper is structured as first concept and development of PSO is discussed then modification with inertia weight and constriction factor is discussed. Issues related to parameter tuning, dynamic environments, stagnation, and hybridization are also discussed, including a brief review of selected works on particle swarm optimization, followed by application of PSO in Solar Photovoltaics.

Pre-feasibility study of PV-solar / Wind Hybrid Energy System for GSM type mobile telephony base station in Central India

This paper proposes the most feasible configuration of a stand alone PV/Wind Hybrid Energy System with diesel generator as a backup for cellular mobile telephony base station site in isolated areas of Central India. It is expected that the newly developed and installed system will provide very good opportunities for mobile telephony base station in near future. The meteorological data of Solar Insolation, hourly wind speed, are taken for Bhopal, Central India and the pattern of load consumption of mobile base station are studied and suitably modeled for pre-feasibility study of the hybrid energy system. This system is more cost effective and environmental friendly over the conventional diesel generator. It should reduced approximate Seventy to Eighty percent fuel cost over conventional diesel generator and also reduced the emission of Carbon dioxide and other harmful gasses in environments.

Mathematical modelling of solar radiation incident on tilted surface for photovoltaic application at Bhopal, M.P., India

In general, solar radiations are the combination of beam plus diffuse and ground-reflected radiation. The availability of recorded data on a tilted surface is very rare due to lack of measuring equipment and techniques involved. In this study, a standard procedure is adopted for estimation of solar radiation on a tilted surface for a location in Central region of India. Solar radiation is estimated for three tilted positions: First, solar collector tilt equal to latitude angle, second, solar collector tilt equal to latitude angle +15° and third, solar collector tilt at latitude −15°. Total global solar radiation estimated on the inclined surface for various photovoltaic (PV) modules was used to obtain the annual energy yield based on the estimated value. It was found that on an average, 14 kWh/m2 of annual energy output can be obtained for monocrystalline solar PV module corresponding to the inclination of 23.26° latitude at Bhopal.

Performance Analysis of Photovoltaic PWM Inverter with Boost Converter for Different Carrier Frequencies Using MATLAB

This paper presents the performance analysis of photovoltaic inverters with boost converter using MATLAB.A string of photovoltaic panels are coupled to a single phase inverter using a boost converter. Boost converter can step up the voltage without using a transformer. With the selection of switching frequency the bridge circuit used in inverter model can be allowed to generate a single phase ac signal. Thus by selecting different switching frequencies the nature of ac signal can improved.

Simulation and Hardware Implementation of MPPT Based Single Phase Photovoltaic Inverter Using TMS320C28027 Control

to harness the solar energy, various energy conversion technologies are required. Photovoltaic (PV) panels, or commonly known as solar panels, are devices used to convert sunlight into electricity. The acronym PV stands for photo (light) and voltaic (electricity), whereby sunlight photons free electrons from the atoms of the panels and creates a voltage difference. Since the PV panels convert sunlight into electricity in the form of direct current (dc), while most electrical devices for residential applications require alternating current (ac), dc-ac power conversion is needed. This can be realized by power converter known as inverter. In solar energy systems, PV inverter is the power converter used specifically to convert the dc power obtained from PV panels into ac power. From the economic point of view, although the cost of PV power is relatively high as compared to other renewable energy sources such as wind and biomass, it has decreased from more than

Scheduling of Cascaded Hydro Power System: A New Self Adaptive Inertia Weight Particle Swarm Optimization Approach

50/W in the early 1980s to about

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

5/W today. Besides, the PV panels can be designed as part of the roof structure, replacing the conventional ceramic or concrete-based roof tiles. In view of these advantages, PV is envisaged as a viable economics proposition of the future. As the solar energy for residential application is gaining considerable interest, there have been numerous PV inverter topologies proposed in the literature. PV grid connected and stand alone systems are becoming more and more popular now a days. With proper tracking system an efficient inverter system can be developed for single phase as well as three phase. This research paper is basically based on the approach that by considering a conventional tracking system a single phase inverter circuit is implemented whose switching is done by using DSP TMS320C28027.

Economic dispatch using particle swarm optimization: A review

The scheduling of hydro electric system means to optimize the generation of hydro units from available water resources so as to maximize total benefits of hydro energy satisfying various constraints. This problem becomes more complex when the hydro plants are in the cascade pattern. The scheduling of cascaded hydro system should be in such way that water discharge from upstream plant can be effectively utilized at downstream plant satisfying all operational constraints. Particle swarm optimization (PSO) algorithm has successfully applied for such problems. Most of the existing improved Particle Swarm Optimization (PSO) algorithms have been suffered from premature convergence. To overcome this problem, New Self Adaptive Inertia Weight Swarm Optimization (NSAIW_PSO) with special function is adopted for scheduling of hydro power plants in this paper. This approach is applied on a real operated cascaded hydroelectric system located in state Madhya Pradesh, India. The results from presented approach are critically compared with that of Linearly Decreasing Inertia Weight (LDIW_PSO) method and found to give better solution.