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Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Johan SmithTNEI Africa
Paper Number 1.05
Session Number 1
15 November 2017
Model validation for accurate
representation of renewable power
plant technologies in developing
utilities to free up capacity
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Agenda
• Introduction• Problem Statement• Case Study
– Steady state study– Dynamic capacity simulation
• Model Validation Examples– Full inverter coupled technologies– Synchronous generator technologies
• Model Aggregation• Conclusions
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Introduction
• Abundance of renewable resources in Africa• Grid integration study is required to investigate
sufficient grid capacity
– Steady state study– Dynamic study
• Steady state load flow studies are the first and sometimes the only factor taking into
consideration – equipment loading and voltage
violations
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Introduction (contd…)
• Dynamic studies require the existing and new generation, as well as the existing T&D network
to be accurately represented
• Safety margins needs to be introduced when integrating renewable generation:
– Capacity can be remaining– False capacity which places the network at risk
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Problem Statement
• Using non-validated simulation models to determine network capacity can produce
unreliable results, which could lead to under- or
over-utilisation of the existing network
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Case Study – Existing study case network
• Existing study case network63% OHL loading for
existing network
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Case Study – Steady state simulation
• Renewable plant connected to base case
100% OHL loading with
new 116MW RPP
Theoretical spare capacity = 115MW
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Study Case – Dynamic capacity simulation
• Network subjected to fault at 132 kV busbar
Dynamic spare
capacity = 45MW
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Study Case – Input data errors
• Network with additional 45 MW is used and the inertia time constant of the generators are
changed to represent a 10% error in input data
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Model Validation – Inverter technologies
Full inverter coupled technologies:
• Model validation focus– Active and reactive current injection for system
events and control modes
• Accurate plant measurements are required to validate RMS and EMT models
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Model Validation – Inverter technologies (contd…)
• Reactive power control – measured vs. simulated (RMS model)
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Model Validation – Inverter technologies (contd…)
• Open Loop Reactive Power Validation for +2% Voltage Reference Change (RMS Model)
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Model Validation – Inverter technologies (contd…)
• Open Loop Reactive Power Validation for Tap Change Operation with Fixed Voltage Reference
(1p.u.) and 4% Droop (RMS Model)
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Model Validation – Inverter technologies (contd…)
• EMT model – system event required for RPP to go into grid support mode thus injecting or
absorbing reactive current
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Model Validation – Synchronous technologies
• Data requirements:– Sampling rate: 5µs (20kHz)
• Lower resolution acceptable (1-10ms) for RMS models
– Measured quantities:• Field voltage• Field current• Terminal voltage• Active and reactive power
– Validation focus• Accurate representation of generator which includes AVR,
governor and PSS
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Model Validation – Synchronous technologies
• Typical tests:– AVR:
• Open circuit test• Closed circuit test• Limiter tests
– Governor:• Generator test: open circuit saturation curve, power
rejection test
• Governor test: high and low frequency excursion test, load ramp rate test.
– Power System Stabiliser (PSS): • white noise test
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Model Validation – Synchronous technologies
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Model Validation – Synchronous technologies
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Model Aggregation
• Incorporating entire RPP models with complete collector networks into a large electrical network – unpractical and cumbersome
• Model aggregation required by utilities and forms part of overall validation process
• During major network disturbance it is possible for a portion of the generators to experience voltages beyond protection limits – not possible to capture these as the aggregated model represents the “average” generator in the RPP
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Model Aggregation (contd…)
• After aggregation, the model is compared to the full validated model
• Simulation study to compare reactive current contribution at the POC
– Aggregate model is sufficient for studying impact on larger electrical network
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Conclusions
• Case presented highlight the need for using validated models for representing generation to calculate remaining capacity
• Validation process was described for both inverter and synchronous generator technologies
• To validate simulation models – simulation results are compared to site measurements
• Model aggregation is integral part of model validation – provides accurate model to represent RPP in larger power system study
Electricity Supply to Africa and Developing Economies: Challenges and Opportunities
Conclusions (contd…)
• Dynamic and steady state simulations are required in order to determine available capacity
• Model validation ensures the accurate model representation of renewable technologies in
order to determine the “safe” available capacity