2020
DOI: 10.1109/access.2020.2973680
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Ultrashort-Term Scheduling of Interbasin Cascaded Hydropower Plants to Rapidly Balance the Load Demand

Abstract: The short-term scheduling schemes of cascaded hydropower plants are based on day-ahead hydrological forecasting information. Affected by the accuracy of prediction, real-term hydrological information can considerably vary from previously forecasted values, especially for the power load and local inflows. As a result, short-term scheduling schemes are difficult to apply directly in real-time scheduling. To solve this problem, a rolling optimal hourly operation model for interbasin cascaded hydropower plants is … Show more

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Cited by 7 publications
(4 citation statements)
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References 34 publications
(40 reference statements)
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“…Researchers have explored diverse optimization techniques to enhance the efficiency and performance of cascade hydropower systems. Research [9] presents an ultrashort-term model for optimizing the scheduling of interbasin cascade hydropower plants to meet load demands. Research [10] introduces the multi-objective tangent algorithm (MOTA) to optimize cascade reservoir operation, considering hydropower generation, ecology, and navigation objectives.…”
Section: B Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Researchers have explored diverse optimization techniques to enhance the efficiency and performance of cascade hydropower systems. Research [9] presents an ultrashort-term model for optimizing the scheduling of interbasin cascade hydropower plants to meet load demands. Research [10] introduces the multi-objective tangent algorithm (MOTA) to optimize cascade reservoir operation, considering hydropower generation, ecology, and navigation objectives.…”
Section: B Literature Reviewmentioning
confidence: 99%
“…Therefore, the origin robust optimization problem described by ( 1) and ( 2) can be reformulated by tractable robust counterpart expressed by (9) to (11).…”
Section: Framework For Robust Optimizationmentioning
confidence: 99%
“…Qingjiang, Hubei, China [266] Determine the efficiency of genetic algorithms with different selection operators for optimizing the STHS problem. Gezhouba, China [267] Develop a rolling optimal operation model for hourly (ultra) STHS in real-time for cascading hydropower dam system. Yunnan, China [268] Develop a short-term peak-shaving method using fuzzy clustering analysis and linear mixed-integer programming for cascading hydropower systems with sensitive heads, considering water spillage adjustments.…”
Section: Ref Main Goalmentioning
confidence: 99%
“…Defining a problem formulation that (a) is able to better reproduce the relevant complexities of water system dynamics and variability in space and time, (b) ensures a realistic representation of decisions and objectives for discovering key trade-offs between multisectoral demands, and (c) can capture a range of heterogeneous stakeholder attitudes toward risk and uncertainty is paramount to the design of decision-relevant alternatives as well as to the selection of the most appropriate solution method. We argue these challenges are critical for reservoir operation design problems, while acknowledging real-time operational contexts face other difficulties in implementing short-term decisions (e.g., Cheng et al, 2020;Séguin et al, 2016). Optimal control methods reduce restrictions on the formulation of the reservoir operation problems supporting the design of closed-loop policies.…”
mentioning
confidence: 98%