Generating Sequential PV Deployment Scenarios for High Renewable Distribution Grid Planning
This paper introduces a novel approach for generating solar photovoltaic (PV) plant deployment scenarios for grid integration planning. The approach guarantees consistency among scenarios of the same deployment by ensuring that higher penetration scenarios contain PV units deployed in lower penetration scenarios. It also constrains the size and spatial distribution of the PV plants and considers three placement types. A case study on a real-world distribution system proves that the precepts of scenario consistency, deployment diversity, and placement are met. The study further investigates the impact of the resulting scenarios via a stochastic hosting capacity analysis. Results indicate that the ratio between PV and load sizes, referred to as the nodal PV penetration factor (NPPF), is a key driver of the grid integration impact. By reducing the NPPF from 5 to 2, the maximum hosting capacity increased by at least 112%. The study also reveals that scenarios under random placement can lead to higher hosting capacity values.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
- DOE Contract Number:
- AC36-08GO28308;
- OSTI ID:
- 1909417
- Report Number(s):
- NREL/CP-6A40-85003; MainId:85776; UUID:add2e02d-9dcc-40b6-afce-433fb73c0b21; MainAdminID:68458
- Conference Information:
- Presented at the 2022 IEEE International Conference on Power System Technology (POWERCON 2022), 12-14 September 2022, Kuala Lumpur, Malaysia; 81434
- Country of Publication:
- United States
- Language:
- English
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