Implications of environmental constraints in hydropower scheduling for a power system with limited grid and reserve capacity

Schäffer, Linn Emelie; Korpås, Magnus; Bakken, Tor Haakon

doi:10.1007/s12667-023-00594-z

Cited by 2 publications

(2 citation statements)

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“…Long-term hydropower scheduling, involving valuation of water resources, was addressed in [7][8][9][10]. The authors in [7] investigate the importance of representing correlations between power prices and inflows in the medium-term scheduling, while [8] compares the performances of the well-known stochastic dual dynamic programming (SDDP) algorithm with a proposed rolling-horizon simulator.…”

Section: Contributionsmentioning

confidence: 99%

“…The authors in [7] investigate the importance of representing correlations between power prices and inflows in the medium-term scheduling, while [8] compares the performances of the well-known stochastic dual dynamic programming (SDDP) algorithm with a proposed rolling-horizon simulator. Both [9] and [10] investigate the impact of various environmental constraints on the longterm hydropower scheduling, for systems with grid constraints [9] and pumps [10].…”

Section: Contributionsmentioning

confidence: 99%

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Editorial: special issue on “Hydropower Scheduling”

Helseth,

Fleten

2024

Energy Syst

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BackgroundScheduling of generation resources is an important task in power systems worldwide. In systems comprising hydropower with storage capacity, the generation scheduling problem involves the challenge of coordinating reservoir storages under uncertainty in inflow. The representation of other uncertainties, e.g., in demand and wind power production, adds to this challenge. Moreover, the integration with other markets, such as natural gas, hydrogen, and carbon markets adds additional complexity to the scheduling process. The long-term dynamics of hydropower reservoirs also introduces several challenges related to the planning of expansions and maintenance of the transmission and generation system. In terms of technology, design and geographical impact, no hydropower systems are alike. They differ in shaping of watersheds and storages, the various waterways used to control the water flows, power station configurations, the constraints imposed on the operation, and the unique regulatory framework under which each system operates. To this end, accurate and robust hydropower scheduling processes require detailed modeling of uncertainties and system components in optimization and simulation models that run in reasonable computational times. This volume presents selected papers from the 7th International Conference on Hydropower Scheduling in Competitive Electricity Markets, arranged 12-13 September 2022 in Oslo, Norway. The conference was organized by SINTEF Energy Research and the Norwegian University of Science and Technology and was hosted by Statkraft. This conference has emerged as an intimate and world-wide forum for researchers and practitioners to present the latest research results, ongoing developments, best practices, and applications related to hydropower scheduling. The

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Section: Contributionsmentioning

confidence: 99%

Section: Contributionsmentioning

confidence: 99%

Editorial: special issue on “Hydropower Scheduling”

Helseth,

Fleten

2024

Energy Syst

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Including Lifetime Hydraulic Turbine Cost into Short-Term Hybrid Scheduling of Hydro and Solar

Kong,

Iliev,

Skjelbred

2024

Energies

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In traditional short-term hydropower scheduling problems, which usually determine the optimal power generation schedules within one week, the off-design zone of a hydraulic turbine is modeled as a forbidden zone due to the significantly increased risk of turbine damage when operating within this zone. However, it is still plausible to occasionally operate within this zone for short durations under real-world circumstances. With the integration of Variable Renewable Energy (VRE) into the power system, hydropower, as a dispatchable energy resource, operates complementarily with VRE to smooth overall power generation and enhance system performance. The rapid and frequent adjustments in output power make it inevitable for the hydraulic turbine to operate in the off-design zone. This paper introduces the operating zones associated with various production costs derived from fatigue analysis of the hydraulic turbine and calculated based on the turbine replacement cost. These costs are incorporated into a short-term hybrid scheduling tool based on Mixed Integer Linear Programming (MILP). Including production costs in the optimization problem shifts the turbine’s working point from a high-cost zone to a low-cost zone. The resulting production schedule for a Hydro-Solar hybrid power system considers not only short-term economic factors such as day-ahead market prices and water value but also lifetime hydraulic turbine cost, leading to a more comprehensive calculation of the production plan. This research provides valuable insights into the sustainable operation of hydropower plants, balancing short-term profits with lifetime hydraulic turbine costs.

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Implications of environmental constraints in hydropower scheduling for a power system with limited grid and reserve capacity

Cited by 2 publications

References 40 publications

Editorial: special issue on “Hydropower Scheduling”

Editorial: special issue on “Hydropower Scheduling”

Including Lifetime Hydraulic Turbine Cost into Short-Term Hybrid Scheduling of Hydro and Solar

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