Optimal short-term scheduling for a large-scale cascaded hydro system

Piekutowski, M.; Litwinowicz, T.; Frowd, Roderick J.

doi:10.1109/59.317636

Cited by 97 publications

(11 citation statements)

References 2 publications

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“…With the advantages of flexible operation and rapid on/off, hydropower plays an important role in power system operation [3]. However, because of the hydraulic and power couplings among the stations, the dispatching of cascade hydropower system is very complicated, and has been a hot issue [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

A risk dispatching model with Muskingum constraints for cascaded hydro systems

Zhong

Xia

et al. 2018

IEEJ Transactions Elec Engng

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A risk dispatching model for short-term cascaded hydro scheduling during high-water season is proposed in this paper taking into consideration of uncertainty factors and the process of water flow. The uncertainty of natural inflow and market price is simulated by the multi-scenarios method. The conditional value at risk (CVAR) is introduced to quantify the risk caused by these uncertainties. In the objective function, the added CVAR represents the risk preference of the hydropower producer. Based on the degree of risk aversion of the producer, the generation profit and risk are coordinated. In addition, the Muskingum model is used to formulate the process of water flow between upstream and downstream stations. A mixed-integer linear programming model of short-term cascaded hydro system scheduling in the high-water season is developed and solved. Numerical studies demonstrate that the proposed approach can balance the risk and generation profit in the high-water season and the model with the Muskingum constraint is more refined.

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Section: Introductionmentioning

confidence: 99%

A risk dispatching model with Muskingum constraints for cascaded hydro systems

Zhong

Xia

et al. 2018

IEEJ Transactions Elec Engng

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“…For instance, in [1] a formulation with AC power flow equations is presented at the expense of a linear representation of hydro production functions, whereas DC power flow formulations are more commonly proposed for the solution of large-scale instances of short-term hydro-thermal coordination problems, e.g. [2]. Because such linear representations of the production function invariably ignore head variation effects on productivity, linear piece-wise formulations have been presented over the years [3].…”

Section: Introductionmentioning

confidence: 99%

A Low-Rank Rounding Heuristic for Semidefinite Relaxation of Hydro Unit Commitment Problems

Paredes

Martins

Soares

2018

2018 IEEE Power &Amp; Energy Society General Meeting (PESGM)

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Hydro unit commitment is the problem of maximizing water use efficiency while minimizing start-up costs in the daily operation of multiple hydro plants, subject to constraints on short-term reservoir operation, and long-term goals. A lowrank rounding heuristic is presented for the semidefinite relaxation of the mixed-integer quadratic-constrained formulation of this problem. In addition to limits on reservoir and generator operation, transmission constraints are represented by an approximate AC power flow model. In our proposed method, the mathematical program is equivalently formulated as a QCQP problem solved by convex relaxation based on semidefinite programming, followed by a MILP solution of undefined unit commitment schedules. Finally, a rank reduction procedure is applied. Effectiveness of the proposed heuristic is compared to branch-and-bound solutions for numerical case studies of varying sizes of the generation and transmission systems.

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“…Water quantity in flood season constitutes more than half of the year water quantity for many hydroelectric stations [1,2]. Scheduling for hydroelectric station has to decrease the loss of flood and maintains the generation benefit [3,4].…”

Section: Introductionmentioning

confidence: 99%

Online strategy for scheduling a hydroelectric station during flood season

Gao

et al. 2013

2013 IEEE International Conference on Information and Automation (ICIA)

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This paper explores the scheduling of hydroelectric station during the flood season when the flood is hard to predict. Specifically, how to regulate the capacity of reservoir during the flood season to decrease the loss and maintain the generation efficiency from hydroelectric station will be elaborated in present work. In order to achieve this objective, online algorithm will be applied here to analyze optimal strategy, which manages the reservoir scheduling in terms of online strategy and competitive analysis. We give the online strategy LLS-algorithm with a competitive ratio c LLS , and analyze the properties of algorithms. Then the evidences from Ankang reservoir are collected to test the competitive ratio of online strategy. The LLS-algorithm effectively reduces the total loss of hydroelectric station during flood season. The model and results of the study have guiding significance and reference value for decision makers facing the similar situation.

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Optimal short-term scheduling for a large-scale cascaded hydro system

Cited by 97 publications

References 2 publications

A risk dispatching model with Muskingum constraints for cascaded hydro systems

A risk dispatching model with Muskingum constraints for cascaded hydro systems

A Low-Rank Rounding Heuristic for Semidefinite Relaxation of Hydro Unit Commitment Problems

Online strategy for scheduling a hydroelectric station during flood season

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