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1 Hydrothermal system operation planning considering hydroelectrical plant production non-linearities Title: André L. M. Marcato Tales P. Ramos Ivo Chaves da Silva Junior Bruno Henriques Dias Rafael B da Silva Brandi Authors: September, 2015

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Page 1: Hydrothermal system operation planning considering ... · 1 Hydrothermal system operation planning considering hydroelectrical plant production non-linearities Title: André L. M

1

Hydrothermal system operation planning considering hydroelectrical plant production non-linearities

Title:

André L. M. Marcato Tales P. Ramos Ivo Chaves da Silva Junior Bruno Henriques Dias Rafael B da Silva Brandi

Authors:

September, 2015

Page 2: Hydrothermal system operation planning considering ... · 1 Hydrothermal system operation planning considering hydroelectrical plant production non-linearities Title: André L. M

• Introduction

• Proposed Methodology

• Problem Formulation

• Results

• Conclusion

Agenda

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Page 3: Hydrothermal system operation planning considering ... · 1 Hydrothermal system operation planning considering hydroelectrical plant production non-linearities Title: André L. M

Introduction

• Hydrothermal System

The main objective of the hydrothermal system operation planning is to minimize the expected operating cost of the system over

the considered period.

These costs are composed by thermal generation and deficit costs

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Brazilian System Characteristics

Fonte: PEN 2013, ONS

Installed Capacity 31/12/2017

Installed Capacacity 31/12/2012

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Introduction

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Introduction

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SCHEMATIC DIAGRAM OF HYDRO PLANTS

Page 7: Hydrothermal system operation planning considering ... · 1 Hydrothermal system operation planning considering hydroelectrical plant production non-linearities Title: André L. M

Introduction

• Brazilian Systems Uses:

Aggregation of the hydroelectric system into energy equivalent system.

Stochastic Dual Dynamic Programming (SDDP).

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Introduction • Energy Equivalent System

STORED ENERGY

HYDRAULIC GENERATION

ENERGY

SPILLED ENERGY

ENERGY INFLOW

Reservoir Run of River

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• Energy Equivalent System

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Introduction

N NE

SE

S

Node

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MDDH

Graphical interface

Java

Kernel C++ Net Beans

Official Data (ONS ou CCEE)

• Windows or Linux • Parallel Processing (SDP

and SDDP) • Running Desktop

computer, remote or distributed

• Wind Plants and Solar Plants (under development)

• Synthetic Scenarios • Energy Equivalent

System, Individualized plants, Hybrid

Computational Platform

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Computational Platform

Page 12: Hydrothermal system operation planning considering ... · 1 Hydrothermal system operation planning considering hydroelectrical plant production non-linearities Title: André L. M

Proposed Methodology The long term operation planning can carried out:

• only representation through energy equivalent systems; • part of the system is represented by energy equivalent systems and the

remaining system by individualized plants; • All hydro power plants are individualized

The planner can choose a point in the time horizon when, before this time a hybrid representation is used and after this time, the representation is by equivalent systems. For individualized plants, It is considered all non-linarites of the hydraulic production function

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Proposed Methodology • Temporal Coupling

Break Down Time

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Proposed Methodology

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Tucuruí Hydro Plant

Forth Degree Polynomial

Hydraulic Production Function- HFP

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Hydraulic Production Function - HFP

Flow rate or turbined flow

(m3/s)

Head (m)

The piecewise linear function must be a convex polynomial

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Hydraulic Production Function- HFP U

pstr

eam

quo

ta (m

)

Stored volume (hm3) Spilled Outflow (hm3) Turbined discharge (hm3)

Dow

nstr

eam

quo

ta (m

)

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Y

X X1 X2 X3 X4 X5 18

• Convex Hull Algorithm:

Hydraulic Production Function- HFP

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Y

X X1 X2 X4 X5 19

The HPF, determined by convex hull algorithm, must be shifted up or down in order to minimize

the mean square error

Hydraulic Production Function- HPF

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Problem Formulation • The SDDP is formulated as the following optimization

model:

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subject to:

Hydraulic Balance

Load Balance

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Hydraulic Production Function - HPF

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Results

• Evaluation of the approximated HPF

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Results

• Evaluation of the approximated HPF

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Results – Brazilian System – Mean of Final Simualtion

– Time horizon: 5 years – Final simulation with 70 scenarios – All results corresponds to monthly mean

• Two Cases: – EQV: representation by energy equivalent systems

only;

– SE_FPH: only Southeast subsystem was individualized

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Results – Brazilian System

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Monthly Mean of Stored Energy

Equivalent reservoir representation presents a higher stored energy when compared to the hybrid representation.

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Results – Brazilian System

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Monthly Mean of Hydro Generation

There is no significant difference in both methods and the equivalent system is a little higher

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Results – Brazilian System

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Monthly Mean of Thermal Generation

Equivalent representation presents a smaller amount. This is due to the higher hydro generation presented before.

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Results – Brazilian System

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Monthly Mean of Spilled Energy

The spilled energy amount is higher when the southeast is modelled by individual plants

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Results - PMO 01/2014

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Produtibility

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Conclusions

• Nowadays, with the hardware/software advances, we must invest in new approaches to use more and more the individualized representation instead of energy equivalent representation.

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Acnowledgements:

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[email protected]

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Resultados PMO 01/2014

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• Energia Armazenada

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Resultados PMO 01/2014

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• Geração Hidráulica

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Resultados PMO 01/2014

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• Déficit

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Resultados PMO 01/2014

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• Déficit