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Optimal planning and design of a renewable energy based supply system for microgrids Supervised by: Submitted by: Dr. K.R Niazi Puneet Sharma Professor 2010 UEE214

Optimal Planning and Design of a Renewable Energy (1)

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Page 1: Optimal Planning and Design of a Renewable Energy (1)

Optimal planning and design of a renewable energy based supply system for microgrids

Supervised by: Submitted by:Dr. K.R Niazi Puneet Sharma Professor 2010 UEE214

Page 2: Optimal Planning and Design of a Renewable Energy (1)

INTRODUCTION

Energy demands are increasing rapidly, requiring energy resources to meet these demands, resulting in an exponential increase in environmental pollution and global warming. On the other hand, these days renewable energy, which is clean and limitless sources of energy, is catching the attention of energy developers.

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Introduction To Microgrid

• A microgrid is a localized grouping of electricity generation, energy storage, and loads that normally operates connected to a traditional centralized grid (macro grid).

• From the point of view of the grid operator, a connected microgrid can be controlled as if it were one entity.

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Microgrid Operating Modes

• Grid Connected Mode:• Utility grid is active.• Static switch is closed• All the feeders are being

supplied by utility grid.

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Microgrid Operating Modes

• Island Mode:

• Utility grid is not supplying Power• Feeder A, B, C are being Supplied by Micro sources.• Feeder D (not sensitive )

is dead.

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Advantages

• Microgrids can operate autonomously.• Completely compatible with existing utility

grid• It supports the growth of existing system in an

economical and environmentally friendly way.• Efficiency is high.

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Disadvantages

• Electrical energy storage

• Resynchronization with the utility grid is difficult

• Microgrid protection.

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The main objectives of the report can be outlined as follows:

• Optimal design and planning of a renewable energy based microgrid considering various renewable energy technology options and with realistic inputs on their physical, operating and economic characteristics.

• To determine the break-even distance for connection of the microgrid with the maingrid.

• Compare the overall benefits from the optimally designed renewable energy based microgrid with existing microgrid configurations.

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Planning of microgrid• To calculate the cost of various cases discussed in upcoming slides two

parameters are defined first is Total net present cost(NPC) and second is levelized cost of energy (COE):

Where Numerator is the total annualized cost and denominator is the capital recover factor

• And COE is defined as

Where is the electrical energy that microgrid system serve and is the amount of electricity sold to microgrid.

N)(i,TANNNPC /CRFC = C

E+E/ C =COE gridlsTANN

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4 different cases are considered for microgrid planning

(a) Case-1 (b) Case-2

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(c) Case-3 (d) Case-4

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Comparison of cost components for various cases.

Items Case-1 Case-2 Case-3 Case-4

Net Present Cost, M$

21.044 14.917 6.486 1.661

Levelized cost of energy, $/kWh

0.902 0.639 0.278 0.071

Operating Cost, M$/year

1.646 0.398 0.347 0.130

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Comparing production of various casesProduction, MWh/yr

Component Case-1 Case-2 Case-3 Case-4

DieselGenerator

4,101.52(100%)

0 1,107.04(46%)

0

Solar PV0 633.5

(9%)0 0

Wind0 5,962.4

(89%)1,192.48(49%)

0

Micro-Hydro0 115

(2%)115(5%)

115(6%)

External Grid0

0 01,710.25(94%)

RenewableEnergy

Contribution0% 100% 53.8% 6.25%

Total 4,101.52 6,710.84 2,414.51 1,825.25

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Comparing consumptionConsumption, MWh/yr

Electrical LoadEnergy Served 1,825 1,824.87 1,825 1,825

Thermal LoadEnergy Served 182.5 182.5 182.5 182.5

Excess Energyto dump load 2094.02 4703.34 407.01 - 182.25

Unmet Energy 0 0.128 0 0

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Comparison of emission for various cases.

Emissions, ton/yr

Pollutant Case-1 Case-2 Case-3 Case-4

Carbon dioxide

6004.76 3.67 1078.4 1,086.18

Carbon monoxide

14.82 0 2.649 0

Unburned hydrocarbons

1.64 0 0.293 0

Particulate matter

1.12 0 0.2 0

Sulfur dioxide 12.06 0.008 2.17 4.7

Nitrogen oxides 132.23 0 23.64 2.29

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Effect of Diesel Price on NPC for 3rd case

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Variation of NPC with grid connectivity distance for Case-3 microgrid

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Microgrids for rural India

• Still a large population of India living in rural areas has no access to electricity

• Village- Upari Babhan,Rajasthan Co-ordinates: N26.58 205, E75.46221 Population:200-300

• Generation – 15.78kW

• Consumption – 10.43kW

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Results and future scope•Diesel-renewable mixed microgrid has the lowest net present cost (NPC) and a fairly small carbon footprint, when compared to a stand-alone diesel-based microgrid. Although a fully renewable-based microgrid, which has no carbon footprint, is the most preferred, the net present cost (NPC) is higher.•Although grid connected microgrid is cheaper for short distances but as distance increases isolated microgrid systems becomes most economic optimal choice.•Still much is to be done to make the concept of microgrid feasible to utilities but they can be extremely helpful in providing electricity to rural areas or isolated islands and to decrease the overall harmful emission in air by coal based plants .By giving subsidies to companies working in field of installing microgrid in rural areas,government can provide cheap elctricity in rural areas.

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References[1] Omar Hafez, Kankar Bhattacharya “Optimal Planning and Design of a Renewable Energy based Supply system for Microgrids “Renewable energy ,Vol 45 – Sep 2012(Base paper).[2] Rehman S, Al-Hadhrami L. “Study of a solar PV-diesel-battery hybrid power system for a remotely located population near Rafha, Saudi Arabia. “Proceedings of 3rd International Conference on Sustainable Energy and Environmental Protection (SEEP 2009) December 2010; 35(12):4986-95. [3] Nayar C, Tang M, Suponthana W. “Wind/PV/Diesel microgrid system imple- mented in remote islands in the Republic of Maldives”, Proceeding of IEEE International Conference on Sustainable Energy Technologies 2008 (ICSET), [4] Kanase-Patil A, Saini R, Sharma M. Integrated renewable energy systems for off grid rural electrification of remote area. Renewable Energy 2010; 35:1342-9. [5] N. Hatziargyriou "Microgrids", IEEE Power and Energy Magazine, 2007; vol.5: pp78-94. [6] T. Lambert, P. Gilman and P. Lilienthal, "Micropower system modelling with HOMER", National Renewable Energy Laboratory. [7] Omar Hafez , Kankar Bhattacharya “Optimal break-even distance for design of microgrids “Electrical Power and Energy Conference (EPEC),2012 IEEE.[8] G. Platt, A Berry, and D. Cornforth “What role for microgrid?” Smart Grid: Integrating Renewable, Distributed & Efficient Energy, Waltham: Elsevier, 2012, 185-207.