Subhadeep Bhattacharjee

A Load Flow based Approach for Optimum Allocation of Distributed Generation Units in the Distribution Network for Voltage Improvement and Loss Minimization

DG is nothing but a small scale generation unit connected directly to the distribution network or near customer load center. This system may or may not be connected to the electric grid. DG has a limited size of 10MW or less especially when DG is used in a distribution network. DG is installed at the place where it becomes impracticable to build a central generation plant. DG is installed to improve the voltage profile as well as minimize losses. DG allocation is a crucial factor. Optimum DG allocation provides a variety of benefits. But inappropriate DG allocation can cause low or over voltage in the network. In this paper a load flow based method using ETAP software is used to determine the optimum location & optimum size of DG in a 33 bus distribution system for voltage profile improvement & loss reduction.

Optimal location and sizing of DG to minimize loss of distribution system using SIMBO-Q method

Determination of optimal location and size of Distributed Generation units is one of the major problems of distribution network. Optimum locations and sizes of DG sources have profoundly impacted on the system losses of a distribution network. This paper presents a new optimization technique known as Swine Influenza Model Based Optimization with Quarantine (SIMBO-Q) to determine optimal allocation and sizing of distributed generation units in distribution network to minimize active power loss. SIMBO-Q performs the optimization through quarantine and treatment based on probability. SIMBO variants can be used to solve DG siting and sizing problem with improved convergence and accuracy. The proposed algorithm is applied to a 33-bus distribution system. The results obtained with the proposed method are compared with the results of PSO and numerical studies represent the effectiveness and outperformance of the proposed method.

Differential Search Algorithm for Reliability Enhancement of Radial Distribution System

Abstract This article proposes a differential search algorithm to solve a distribution system reliability optimization problem. Optimum failure rate and repair time of different distributor segments of a distribution network have been calculated to enhance reliability of radial distribution system, both without distributed generation and incorporating distributed generation as standby unit. The differential search algorithm, a recently developed optimization algorithm having improved exploration and exploitation ability, has been implemented to solve the reliability optimization problem in search for superior quality solution. The differential search algorithm mimics the Brownian-like random-walk movement used by an organism for its migration. Simulation results establish that the proposed approach outperforms other existing optimization techniques in terms of quality of solution obtained and computational efficiency as applied to optimize failure rate and repair time of a radial distribution network.

Energy storage system for wind power plant

Most significant drawbacks associated with renewable energy resources are intermittency and fluctuations. So they are not suitable for operating as base-load power station. Hybridization of two resources reduces this limitation but cannot eradicate it completely. An economic storage system with long duration power supply capability and durability can solve the problem. But most of the storage systems like pumped storage, super-conducting magnetic energy storage (SMES) etc. have their own limitations like large space requirement, higher cost, temperature dependence, etc. In this paper a spring storage system for a small wind power plant has been modeled and simulated which has potential to redress the major problems of the prevailing energy storage units of renewable power plants.

Exploring wind energy for hybrid power generation in a low wind regime

Wind power is the fastest growing renewable energy source in the world. Though India has made notable progress in wind power development, the wind energy potential so far been reported for north-east (N-E) states of India is meager. An attempt is made in the paper to explore the possibility of utilizing wind power of the N-E state, Tripura, for hybrid power system development. Wind resource, wind speed variation with height, wind speed probability density function have been described in the paper in the perspective of the state.

Economic Analysis of a Biomass/PV/Diesel Autonomous Power Plant

This paper presents the design and optimization process of a stand-alone autonomous power system, for supplying continuous power in typical rice-mills of Tripura, together with an economic analysis and environmental considerations for the project life cycle. The simulation results indicate that the renewable fraction is 0.62 for the hybrid system composed of 15 kW PV, 7 kW biomass gasifier, 8 kW diesel system with battery storage. The cost of energy is found to be 0.803

Soft Computing Techniques for Distillation Column Composition Control

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Comprehensive solar energy resource characterisation for an intricate Indian province

Distillation columns are important unit operations in chemical process plants. Though many works has been done in this field, but this paper compares some of the artificial intelligence controllers with the conventional controllers which are used to control the composition parameter in the column. The conventional controllers used are PID and PI controllers and the soft computing techniques used are fuzzy logic controllers and neuro-fuzzy controllers. The results obtained by the soft computing techniques are finally compared as to show which controller is best.

Solar thermal-wind-spring storage hybridized system for steady power yield

ABSTRACT The interception of solar radiation by earth’s surfaces is a function of their geometry and a determinant of their microclimatic interaction. Thus the design of a solar energy conversion system requires precise knowledge regarding the availability of solar irradiation and various solar geometrical parameters at the location of interest. Both weather conditions and geography of the location have an influence on solar radiation pattern and it is crucial to determine the patterns of solar radiation throughout the year as solar technologies heavily rely on solar climate characteristics. The present work evaluates the terrestrial solar energy resource characterisation for intricate north-east Indian province Tripura where solar resource is considered to be a promising alternative option to supply energy in remote areas. Both direct and indirect measured solar radiation data have been considered in the study for evaluation of solar geometrical factors and correlations.

Back surface cooling of photovoltaic panel - an experimental investigation

This paper presents a steady power producing unconventional hybrid scheme of combined vertical axis wind turbine and solar thermal run Stirling engine with a spring storage system. This eccentric scheme will substantially alleviate the prominent drawbacks associated with most of the prevalent solar-wind hybrid power plants. In the proposed plant, a hybrid vertical axis wind turbine exploits wind energy at both low and high speed, a specially designed sphere of Fresnel lens captures the solar energy, Stirling engine utilizes the entrapped energy for solar power generation and a spiral torsion spring stores the surplus energy in the plant. Modelling and simulation of the plant has been done and in the simulated result, a steady power of 1.3 kW is observed at the generator shaft due to the contribution of any of the primary sources and storage system.