Aashish Kumar Bohre

PV-wind hybrid system: A review with case study

Abstract Renewable energy systems are likely to become widespread in the future due to adverse environmental impacts and escalation in energy costs linked with the exercise of established energy sources. Solar and wind energy resources are alternative to each other which will have the actual potential to satisfy the load dilemma to some degree. However, such solutions any time researched independently are not entirely trustworthy because of their effect of unstable nature. In this context, autonomous photovoltaic and wind hybrid energy systems have been found to be more economically viable alternative to fulfill the energy demands of numerous isolated consumers worldwide. The aim of this paper is to give the idea of the hybrid system configuration, modeling, renewable energy sources, criteria for hybrid system optimization and control strategies, and software used for optimal sizing. A case study of comparative various standalone hybrid combinations for remote area Barwani, India also discussed and found PV–Wind–Battery–DG hybrid system is the most optimal solution regarding cost and emission among all various hybrid system combinations. This paper also features some of the near future improvements, which actually has the possibility to improve the actual monetary attraction connected with this sort of techniques and their endorsement by the consumer.

Hybrid butterfly based particle swarm optimization for optimization problems

One of the superior optimization algorithms amongst all earlier introduced algorithms is the particle swarm optimization algorithms. This paper introduces Butterfly Particle swarm optimization (BF-PSO) with some novel control parameters such as sensitivity of butterfly towards nectar by different means of communication and probability of the nectar presence. This new hybrid algorithm is based on the intelligent characteristics and behavior of butterfly during the process of food (nectar) search and mimics their intelligent network structures. Sensitivity and the probability of nectar, according to the degree of nodes is calculated using this new algorithm. By adding the effect of these modifications in the standard Particle Swarm Optimization (PSO), the algorithm performance and the ability to search optimum value of the Particle Swarm Optimization is improved. Finally, the results of applying the BF-PSO on benchmark functions are shown. The overall improvement in performances of the BF-PSO on the basis of the sensitivity of butterfly and probability of nectar source.

Impacts of the load models on optimal planning of distributed generation in distribution system

The optimal planning (sizing and siting) of the distributed generations (DGs) by using butterfly-PSO/BF-PSO technique to investigate the impacts of load models is presented in this work. The validity of the evaluated results is confirmed by comparing with well-known Genetic Algorithm (GA) and standard or conventional particle swarm optimization (PSO). To exhibit its compatibility in terms of load management, an impact of different load models on the size and location of DG has also been presented in this work. The fitness evolution function explored is the multiobjective function (FMO), which is based on the three significant indexes such as active power loss, reactive power loss, and voltage deviation index. The optimal solution is obtained by minimizing the multiobjective fitness function using BF-PSO, GA, and PSO technique. The comparison of the different optimization techniques is given for the different types of load models such as constant, industrial, residential, and commercial load models. The results clearly show that the BF-PSO technique presents the superior solution in terms of compatibility as well as computation time and efforts both. The algorithm has been carried out with 15-bus radial and 30-bus mesh system.

Mathematical modeling and performance analysis of MPPT based solar PV system

The output Power is always changing with weather situations, i.e., atmospheric temperature and solar irradiation. Therefore, a Maximum Power Point Tracking (MPPT) mechanism is used to get maximum power from the Photo Voltaic arrays at real time and it becomes essential in PV system. Now a day, a large number of methods have been proposed for tracking the maximum power point (MPP). MPPT is used in PV schemes to maximize the output power of photovoltaic array, without depending on the change in weather conditions and on the load. The electrical energy, output of the PV array is used to regulate the dc/dc converter, thus dropping the systems complexity. The output of the this gives high-efficiency. The research paper insights the mathematical modeling of standalone PV system and the performance of PV generator is analyzed with and without MPPT under various load conditions.