Mobile and Modular Renewable Energy Based Hybrid Electric Energy System For Remote and Offshore Power Supply

Project Title

Mobile and Modular Renewable Energy Based Hybrid Electric Energy System For Remote and Offshore Power Supply

Project Area of Specialization Electrical/Electronic EngineeringProject Summary

                                                                                                                                  Project Summary

From this study it is clear that, in case of off-grid system, the optimized PV-wind-battery hybrid system is more cost effective compared to wind-alone system, PV alone system, and wind-PV hybrid system for the load with 8% annual capacity of shortage for this hypothetical system at the proposed site. From the sensitivity analysis, it is also clear that the major portion of the energy comes from wind. The sensitivity analysis also predicts that the reduction of installation cost of PV or wind energy system results in per unit electricity cost that is comparable to the grid electricity price. Furthermore, RES system can reduce GHG emission by a significant amount, thus being friendly to the environment. The analysis can be further improved and system economy can be determined more precisely if more related data like minute-wise load curve, land price, variable interest rate, and environmental hazard effects are taken into consideration. Nevertheless, the initial analysis suggests that grid-RES hybrid system is promising enough to justify further effort to collect additional data to perform a deeper analysis.

Project Objectives

    PROJECT OBJECTIVES

• To study Solar PV characteristic curves and their effect based on variation of environmental conditions like temperature and irradiation.

• Energy generation and monitoring from solar and wind turbine.

• Mathematical Modeling of solar PV and wind energy system with MPPT Algorithm.

• Modelling and analysis of grid tied wind, solar hybrid system.

• Comparison between simulated results and actual implementation results

Project Implementation Method

A.   calculation of the PV module average power output.

Solar array modules are arranged so that there are sufficient series connected solar cells to generate enough voltage to charge a battery. Modules are arranged in series to increase the system voltages and in parallel to increase the system output current. The power output of the PV module P(s) is a product of the module output voltage and output current.

The module equivalent circuit output current ‘I’ can be expressed as a function of the module output voltage V.

Then module output voltage and Power generated are calculated using the formulas given below. Ppv=V*I — I2RS

MATLAB R2007a program is used for the calculation of solar power and the Graph is plotted between the solar

power and the solar radiation.

B .  Calculation of available Wind generator power

Wind energy is ample, renewable, widely distributed, clean, and works against the greenhouse effect if used to replace the use of fossil-fuel.. The wind speed data were recorded near the ground surface. It should be converted to hub height using the required formula. The formula used for the calculation of wind speed is given as below

V = Vi (H/Hi)?                                                              

Calculation of available Wind generator power is performed with the help of following formulas. The available wind generator power output is a function of the wind velocity. This wind power is calculated for each hour of a typical day in every month.

Pw = Pr (V-Vc) / (Vr-Vc) for (Vc ? V? Vr) (3) Pw =Pr for( Vr ? V ?Vf)

C.Model Used for Solar/ Wind Hybrid System.

The initial cost of the renewable generation facilities is quite expensive and there is also maintenance cost. Thus it is desirable to make use of renewable in an appropriate fashion in order to achieve a cost effective and reliable autonomous hybrid power generation system (Fig 2). A suitable combination of these power sources is able to reduce the generation costs as well as enhance the overall system reliability.

D. loss of power supply probability (LPSP)

Loss of Power Supply Probability can be defined as the long-term average fraction of the load that is not supplied by a stand-alone system. Energy is stored in batteries when the generated power by the wind turbine and PV array is greater than the load. When the power generated is less than the load, the energy is taken from the batteries. The state of charge of the batteries was used as a decision variable for the control of the overcharge and discharge. The case of overcharge may occur when high power is generated by the photovoltaic and wind turbine, or when low load demand exists. In such a case when the state of charge of the batteries reaches the maximum value Bmax the control system intervenes and stops the charging process.

On the other hand, if the state of charge decreases to a minimum leve B(min) control system disconnects the load.thi is importmant to prevent battries against shorttening their life or even destruction.

Benefits of the Project

                                 Benefits of  project

• Very high reliability (combines wind power, and solar power)
• Long term Sustainability
• High energy output (since both are complimentary to each other)
• Cost saving (only one time investment)
• Low maintenance cost (there is nothing to replace)
• Long term warranty
• No pollution
• Clean and pure energy
• Provides un-interrupted power supply to the equipment
• The system gives quality power out-put DC to charge directly the storage battery or provide AC.
• The system can be designed for both off-grid and on grid  applications.
• Efficient and easy installation, longer life

Technical Details of Final Deliverable

 Iterative methodology has been applied to optimize the capacity sizes of various stand-alone PV/wind/diesel/battery hybrid system parts for zero load energy shortfall. The high price of renewable energy systems has brought to slow usage in many countries. Hence, Neuro-Fuzzy method was used for techno-economical of PV-Wind system. The optimization method used is Adaptive Neuro-Fuzzy Inference System (ANFIS), which is successfully applied to model the PV and wind sources. Comparison was made with hybrid optimization model for electric renewables (HOMER) and hybrid optimization by genetic algorithms (HOGA) software and the results prove an accuracy of 96% for PV and wind

 The optimized system is simulated in PSCAD/EMTDC and the results show that low excess energy is realized. In this work , the technical-economic optimization research of a stand-alone hybrid PV/wind system (HPWS) in Corsica Island is introduced. Consequently, the main purpose of the research is to calculate the acceptable dimensions of a stand-alone HPWS that ensure the energy independence of the typical rural consumer with the lowest levelized cost of energy (LCE).

It is acknowledged that solar energy and wind energy are two of the most feasible renewable energy resources on the globe, The work of highly recommend an ideal design model for designing hybrid solar-wind systems making use of battery banks for determining the system optimum options and guaranteeing that the annualized cost of the systems is reduced while fulfilling the customized needed loss of power supply probability (LPSP). The five selection parameters involved in the optimization method are the PV module number, PV module slope angle, wind turbine number, wind turbine installation height and battery capacity. The offered technique is used to design a hybrid system to supply power for a telecommunication relay station along Southeast Coast of China.

Final Deliverable of the Project HW/SW integrated systemCore Industry Energy Other Industries Others Core Technology Clean TechOther Technologies Shared Economy, OthersSustainable Development Goals Affordable and Clean EnergyRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	79000
SOLAR PANEL	Equipment	2	5000	10000
WIND TURBINE	Equipment	1	13000	13000
PV CHAGE CONTROLLER MPPT	Equipment	1	10000	10000
DC/DC CONVERTER	Equipment	1	6500	6500
DC/AC CONVERTER	Equipment	1	6500	6500
BIDIRECTIONAL CONVERTER	Equipment	2	7000	14000
BATTERY	Equipment	1	9000	9000
GEARBOX/GENERATOR/CABLES/FIXING /TESTING/DISCREATE	Miscellaneous	1	6500	6500
RESEARCH WORK PUBLISHING	Miscellaneous	1	3500	3500