Hydropower reservoir reoperation to adapt to large-scale photovoltaic power generation
- 1. Hubei Provincial Collaborative Innovation Center for Water Resources Security, Wuhan, 430072 (China)
- 2. State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072 (China)
Description
Highlights: • Short-term operation was considered for long-term reservoir re-operation. • PV energy-loss functions approximately exhibit an S shape. • No conflict between maximizing energy production and power supply reliability. • Coordination between PV integration and water management was achieved. -- Abstract: Integrating dispatchable hydropower with nondispatchable photovoltaic (PV) power is a promising way to enhance resource use efficiency. However, hybrid generation of these energy sources may exert greater pressure on the integrated water resources management, calling for reservoir reoperation. To address this issue, we propose a procedure to derive adaptive operating rules for a large hydro—PV hybrid power plant consisting of following steps: (1) establish a short-term simulation model to estimate the PV curtailment rate arising from specified long-term hydropower output, in which the relationships are represented as PV energy-loss functions to bridge long- and short-term operations; (2) design six operating rules that incorporate the PV energy-loss functions to simulate the system's long-term operation; and (3) develop a multi-objective optimization model to identify the most effective operating rules. A case study was carried out for China's Longyangxia hydro—PV hybrid power plant. Results showed that, compared with traditional operation, the average annual energy production and power supply reliability of the optimal rule curves increased to 7.3 billion kWh (4.3%) and 90% (47.5%), respectively, while the water shortage index decreased to 114 (6.6%). The derived operating rules could achieve good balance between PV integration and water management.
Additional details
Identifiers
- DOI
- 10.1016/j.energy.2019.04.209;
- PII
- S0360544219308497;
Publishing Information
- Journal Title
- Energy (Oxford)
- Journal Volume
- 179
- Journal Page Range
- p. 268-279
- ISSN
- 0360-5442
- CODEN
- ENEYDS
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55015281
- Subject category
- S13: HYDRO ENERGY; S14: SOLAR ENERGY;
- Descriptors DEI
- COMPUTERIZED SIMULATION; DESIGN; ENERGY EFFICIENCY; ENERGY LOSSES; ENERGY SYSTEMS; HYDROELECTRIC POWER; OPTIMIZATION; PHOTOVOLTAIC EFFECT; POWER GENERATION; SOLAR CELLS; SOLAR POWER PLANTS
- Descriptors DEC
- DIRECT ENERGY CONVERTERS; EFFICIENCY; ELECTRIC POWER; ENERGY SOURCES; EQUIPMENT; LOSSES; PHOTOELECTRIC CELLS; PHOTOELECTRIC EFFECT; PHOTOVOLTAIC CELLS; POWER; POWER PLANTS; RENEWABLE ENERGY SOURCES; SIMULATION; SOLAR EQUIPMENT
Optional Information
- Notes
- Published by Elsevier Ltd.