Project scope:

Technical and strategic advisory to support the integration of up to 60 GW of renewable energy (wind, utility-scale PV, rooftop PV, CSP) into a national power system by 2030.

The assignment focused on determining the optimal renewable capacity mix and geographical allocation under multiple load development scenarios, while assessing operational impacts, grid reinforcement needs, storage integration, and economic viability.

Key Responsibilities & Achievements
1. Renewable Resource & Scenario Modelling

• Generated high-resolution renewable production time series for existing (30 GW until 2024) and prospective sites (2030 horizon).
• Developed forward-looking scenarios integrating large-scale RES, storage, and distributed generation.

2. Generation Adequacy & Operational Integration

• Determined maximum achievable renewable penetration levels under operational and system security constraints.
• Conducted adequacy assessments including capacity credit evaluation, ramping analysis, and reserve sizing requirements.
• Analyzed operational challenges linked to intermittency, system imbalances, and flexibility needs.

3. Grid Impact & Reinforcement Studies

• Performed steady-state, dynamic, fault-ride-through, and transfer limit studies.
• Identified short-term (2024) reinforcement requirements and long-term (2030) optimal connection points.
• Assessed grid constraints and optimal network expansion strategies.

4. Energy Storage (BESS) Technical & Economic Assessment

• Conducted detailed modelling of Battery Energy Storage Systems (BESS) as a flexibility enabler.
• Evaluated BESS contribution to frequency regulation, load balancing, reserve provision, and ramp management.
• Assessed optimal sizing, siting, and economic viability of storage solutions.
• Demonstrated the system-wide benefits of strategically deployed storage in enabling high-RES integration.

5. Techno-Economic & Investment Analysis

• Calculated Levelized Cost of Energy (LCOE) and quantified integration benefits of renewable deployment.
• Ranked candidate RES sites based on grid needs, economic performance, and system impact.
• Developed comprehensive cost-benefit comparisons across alternative generation and storage configurations.

6. Tools, Models & Deliverables

• Developed and delivered system models and datasets using Python, PSS®E, and ANTARES.
• Produced detailed technical reports and structured recommendations for phased implementation.

Outcome

Delivered a data-driven roadmap for integrating 60 GW of renewable energy, including optimal siting strategy, grid reinforcement planning, and storage deployment framework. The project provided a technically robust and economically viable pathway for large-scale renewable integration while maintaining system stability and operational security.