Project Objective
Assess coordinated renewable generation and battery support in the IEEE 14-bus system under changing irradiance, wind speed, load demand and grid disturbances.
The page is written to help researchers move from a project title to a structured model, a defendable simulation methodology and a clear set of result graphs without claiming fixed performance before the final parameters are selected.
System Architecture and Main Blocks
- IEEE 14-bus transmission network with generators, transformers, lines and loads
- PV array and grid-connected converter with MPPT and control
- Wind turbine or wind-farm generator and converter interface
- Battery energy-storage system with bidirectional converter
- Energy-management, voltage/reactive-power and DC-link controllers
- Measurements for bus voltage, frequency, active/reactive power and SOC
MATLAB Simulink Methodology
- Validate the base IEEE 14-bus operating point before adding renewable sources.
- Select connection buses and ratings using power-flow or sensitivity considerations.
- Configure PV, wind and BESS converter controls and power references.
- Apply renewable intermittency, load steps and fault-clearing events.
- Compare the base network, renewable-only case and coordinated renewable-plus-BESS case.
Recommended Simulation Scenarios
- Solar irradiance and wind-speed variation
- Load increase at a weak or selected bus
- BESS charge/discharge transition
- Short-duration three-phase fault and recovery
- Reactive-power or voltage-support comparison
Expected Outputs and Performance Metrics
- Bus-voltage profiles and voltage-deviation indices
- System frequency and rotor-speed response
- PV, wind, grid and BESS active/reactive power
- Battery SOC and converter current
- Fault-recovery time, damping and power-flow changes
Results should be plotted with labelled axes, units, reference signals and event times. Baseline and proposed-control cases should use the same operating conditions for a fair comparison.
Research Novelty and Extension Options
- Optimal renewable and BESS placement using metaheuristics
- Grid-forming versus grid-following BESS control
- Virtual inertia and frequency-support studies
- Protection coordination with inverter-based resources
- Probabilistic renewable and load profiles
Applications for PhD, Engineering Projects and FYP
- Power-system PhD and master’s research
- Smart-grid and renewable-energy FYP projects
- BESS planning and control studies
- Voltage-stability and transient-stability analysis
- IEEE benchmark-based algorithm validation
Suggested Report Structure
A strong report can include problem definition, literature review, governing equations, system block diagram, parameter table, controller design, simulation cases, result discussion, limitations, proposed novelty and future scope. Screenshots should be accompanied by technical interpretation rather than presented without explanation.