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DYNAMIC SIMULATION OF A PV-DIESEL-BATTERY HYBRID PLANT FOR ... · PV-DIESEL-BATTERY HYBRID PLANT...

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LOGO DYNAMIC SIMULATION OF A PV-DIESEL-BATTERY HYBRID PLANT FOR OFF GRID ELECTRICITY SUPPLY Presented by: Basem Idlbi Prof. Dr.-Eng. Siegfried Heier Prof. Dr.-Eng. Ahmed El-Koussi Prof. Dr.-Eng. Mohammad El-Sobki Examining Committee:
Transcript

LOGO

DYNAMIC SIMULATION OF A PV-DIESEL-BATTERY HYBRID

PLANT FOR OFF GRID ELECTRICITY SUPPLY

Presented by: Basem Idlbi

Prof. Dr.-Eng. Siegfried Heier

Prof. Dr.-Eng. Ahmed El-Koussi

Prof. Dr.-Eng. Mohammad El-Sobki

Examining Committee:

Contents

1. Introduction

2. Frequency control

3. Modelling of the plant

4. Simulations and results

5. Conclusions

1

1. Introduction

Problem Adverse effects of

power variations in the

grid caused by the load

and the renewable

energy source.

Hybrid plants Off grid supply

Objective Analysis of different

control strategies to

improve the operation

of the plant and power

supply quality.

2

1. Introduction

Economical comparison based on the difference of fuel consumption between the control strategies.

4 criterions for the comparison between the control strategies.

4 control strategies in relation to primary and secondary control.

Modelling the plant with PowerFactory.

Economical overview

Comparison criterions

Control strategies

Developing the model

Work steps

3

2. Frequency control

Droop control of active power Frequency of the grid is dependant on active power

Droop Characteristics of a power source

The droop control is a common technique for parallel power sources

The droop characteristics define the power sharing of different parallel power sources.

Ideal droop characteristics of a generator*

4

---------------------------------------------------------------------------------------------------------

* P. Kundur, Power System Stability And Control : McGraw-Hill, 1994.

2. Frequency control

Inertial response

Primary control and governor action

Secondary control.

Frequency deviation of a generator following a load increase *

5

---------------------------------------------------------------------------------------------------------

* PowerFactory, Version 14.1, User's Manual: DIgSILENT, 2011, vol. 2.

3. Modelling of the plant

Model of diesel generator in PowerFactory Model of synchronous generator

Model of diesel governor

Model of voltage controller

Developing a model of fuel consumption measurement

Model of battery energy storage system (BESS) In

PowerFactory Model DC voltage source

Model of Converter

Model of BESS controller

Model of PV field in PowerFactory Model of static generator in the mode of current source

Model of PV controller.

6

3. Modelling of the plant

Model of the hybrid plant

Single line diagram of the plant in PowerFactory and the capacities of the main components

Main components capacity unit

diesel generators × 3 1.02 [MVA]

PV field 3 [MWp]

BESS 23 [MWh]

Transformer × 3 1 [MVA]

7

3. Modelling of the plant

Developing a model of secondary controller

Physical description of secondary control

Model of secondary controller

Mechanism of the secondary controller

with drooping power source

General diagram of the secondary control

8

4. Simulations and Results

9

Control strategies

Dynamic simulation of control strategies

Simulation of one example day

Comparison Criterions

Economical overview

4. Simulations and Results

Control strategies

Primary control sharing:

The higher the droop value of a power source, the lower the share of primary control

Secondary control sharing:

A power source provides secondary control according to the control signal from the secondary controller.

parallel units with droop characteristics*

10

---------------------------------------------------------------------------------------------------------

* P. Kundur, Power System Stability And Control : McGraw-Hill, 1994.

11

4. Simulations and Results

Control strategy Primary control of active power Secondary control of active power

1 BESS & diesel generators BESS

2 BESS & diesel generators BESS & diesel generators

3 mainly BESS BESS

4 mainly BESS BESS & diesel generators

Control strategies

Dynamic

simulation control strategy (1)

12

4. Simulations and Results

Control strategy Primary control of active power Secondary control of active power

1 BESS & diesel generators BESS

2 BESS & diesel generators BESS & diesel generators

3 mainly BESS BESS

4 mainly BESS BESS & diesel generators

Control strategies

Dynamic

simulation control strategy (2)

13

4. Simulations and Results

Control strategy Primary control of active power Secondary control of active power

1 BESS & diesel generators BESS

2 BESS & diesel generators BESS & diesel generators

3 mainly BESS BESS

4 mainly BESS BESS & diesel generators

Control strategies

Dynamic

simulation control strategy (3)

14

4. Simulations and Results

Control strategy Primary control of active power Secondary control of active power

1 BESS & diesel generators BESS

2 BESS & diesel generators BESS & diesel generators

3 mainly BESS BESS

4 mainly BESS BESS & diesel generators

Control strategies

Dynamic

simulation control strategy (4)

15

4. Simulations and Results

Simulation of one example day

Distribution of the generated energy in the simulated day for control strategy (3)

16

4. Simulations and Results

Simulation of one example day

Charging and discharging of the BESS in the simulated day for control strategy (3)

17

4. Simulations and Results

Simulation of one example day

Output power of the diesel generators in the simulated day

18

4. Simulations and Results

Criterion 1: frequency deviation

Control strategy (3) leads to lower frequency deviations.

Frequency at the main bus bar in the simulated day

19

4. Simulations and Results

Criterion 2: fuel consumption

Control strategy (3) leads to less fuel consumption

Fuel consumption in control strategy (3) is less than strategy (2) by 3.5%.

Fuel consumption in the simulated day according to the control strategies

20

4. Simulations and Results

Criterion 3: Long battery lifetime

Lifetime of the battery bank is dependent on the cycled energy in the battery

The lifetime of the Battery bank is expected to be longer in control strategy (2).

Energy cycled in the battery bank in the simulated day

21

4. Simulations and Results

Criterion 4: performance of the diesel generators

Low loading of diesel generators is not recommended

Overloading of diesel generators is restricted and not recommended

Frequent load ramping leads to transient torques on the shaft

The control strategy (3) leads to approximately constant loading of the diesel generators close to the rated power. Therefore, leads to better performance.

22

4. Simulations and Results

Economical overview

Based on the difference of fuel consumption between the control strategies.

Control strategy (3) leads to less energy cost

Energy cost in control strategy (3) is 1% less than strategy (2).

Levelized cost of energy in the simulated day according to the control strategies

23

5. Conclusions

Control strategy (3), when the power fluctuations is provided mainly by the BESS, leads to preferable operation of the plant, because:

The output power of the diesel generator is almost constant close to the nominal power

The frequency deviations are lower

The fuel consumption is lower

The performance of the diesel generators is better

But the lifetime of the battery bank is expected to be shorter

Note: the savings in the cost can be higher in lower irradiations or higher price of fuel.

24

Recommendation for future work

Developing a dispatch control in order to run one year simulation To analyse different dispatch strategies

To consider the lifetime of the battery in the cost comparison

Integrating the model of BESS with the effect of

battery aging

INTEGRATING THE MODEL OF DIESEL GENERATOR WITH THE MAINTENANCE ESTIMATION

CASE STUDY IN SYRIA (Arwad).

LOGO www.themegallery.com


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