An overview on mathematical programming approaches for the deterministic unit commitment problem in hydro valleys

Taktak, Raouia; d'Ambrosio, Claudia

doi:10.1007/s12667-015-0189-x

Cited by 68 publications

(23 citation statements)

References 104 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Hydro units are in fact entire hydro valleys, i.e., a set of connected reservoirs, turbines and pumps that influence each other through flow constraints. When the hydro component is significant UC is often denoted as HUC; this may make the problem significantly more difficult, as the recent survey [497] highlights. Turbines release water from uphill reservoirs to downhill ones generating energy, pumps do the opposite.…”

Section: Hydro Unitsmentioning

confidence: 99%

Large-scale unit commitment under uncertainty: an updated literature survey

Ackooij¹,

et al. 2018

View full text Add to dashboard Cite

The Unit Commitment problem in energy management aims at finding the optimal production schedule of a set of generation units, while meeting various system-wide constraints. It has always been a large-scale, non-convex, difficult problem, especially in view of the fact that, due to operational requirements, it has to be solved in an unreasonably small time for its size. Recently, growing renewable energy shares have strongly increased the level of uncertainty in the system, making the (ideal) Unit Commitment model a large-scale, non-convex and uncertain (stochastic, robust, chanceconstrained) program. We provide a survey of the literature on methods for the Uncertain Unit Commitment problem, in all its variants. We start with a review of the main contributions on solution methods for the deterministic versions of the problem, focussing on those based on mathematical programming techniques that are more relevant for the uncertain versions of the problem. We then present and categorize the approaches to the latter, while providing entry points to the relevant literature on optimization under uncertainty. This is an updated version of the paper "Large-scale Unit Commitment under uncertainty: a literature survey" that appeared in 4OR 13(2), 115-171 (2015); this version has over 170 more citations, most of which appeared in the last three years, proving how fast the literature on uncertain Unit Commitment evolves, and therefore the interest in this subject.

show abstract

Section: Hydro Unitsmentioning

confidence: 99%

Large-scale unit commitment under uncertainty: an updated literature survey

Ackooij¹,

et al. 2018

View full text Add to dashboard Cite

show abstract

“…The short-term optimization approach follows the hours-ahead to day-ahead time horizon. In power system operations, unit commitment is one of the central approaches [6][7][8][9][10][11]. For achieving accuracy in testing, all daily operations and market clearing is done in advance.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Solution Techniques Used for Hydro Generation Scheduling

Parvez

Shen

Khan

et al. 2019

Water

View full text Add to dashboard Cite

The hydro generation scheduling problem has a unit commitment sub-problem which deals with start-up/shut-down costs related hydropower units. Hydro power is the only renewable energy source for many countries, so there is a need to find better methods which give optimal hydro scheduling. In this paper, the different optimization techniques like lagrange relaxation, augmented lagrange relaxation, mixed integer programming methods, heuristic methods like genetic algorithm, fuzzy logics, nonlinear approach, stochastic programming and dynamic programming techniques are discussed. The lagrange relaxation approach deals with constraints of pumped storage hydro plants and gives efficient results. Dynamic programming handles simple constraints and it is easily adaptable but its major drawback is curse of dimensionality. However, the mixed integer nonlinear programming, mixed integer linear programming, sequential lagrange and non-linear approach deals with network constraints and head sensitive cascaded hydropower plants. The stochastic programming, fuzzy logics and simulated annealing is helpful in satisfying the ramping rate, spinning reserve and power balance constraints. Genetic algorithm has the ability to obtain the results in a short interval. Fuzzy logic never needs a mathematical formulation but it is very complex. Future work is also suggested.

show abstract

“…For instance what will be the new role for large centralized generation assets such as nuclear, thermal or hydro generation? It also becomes of interest to examine how classical energy management questions, such as unit-commitment (e.g., [1,2]), scheduling maintenance of large power plants or cascaded reservoir management (e.g., [3,4]) should evolve to account for this new context. Needless to say, these classical management questions are already difficult on their own without considering a potential interaction with micro-grids.…”

Section: Introductionmentioning

confidence: 99%

Optimizing power generation in the presence of micro-grids

Ackooij¹,

Boeck

Detienne

et al. 2018

European Journal of Operational Research

View full text Add to dashboard Cite

In this paper we consider energy management optimization problems in a future wherein an interaction with micro-grids has to be accounted for. We will model this interaction through a set of contracts between the generation companies owning centralized assets and the micro-grids. We will formulate a general stylized model that can, in principle, account for a variety of management questions such as unit-commitment. The resulting model, a bilevel stochastic mixed integer program will be numerically tackled through a novel preprocessing procedure. As a result the solution for the bilevel (or single leader multiple follower) problem will be neither "optimistic" nor "pessimistic". We will numerically evaluate the difference of the resulting solution with the "optimistic" solution. We will also demonstrate the efficiency and potential of our methodology on a set of numerical instances.

show abstract

An overview on mathematical programming approaches for the deterministic unit commitment problem in hydro valleys

Cited by 68 publications

References 104 publications

Large-scale unit commitment under uncertainty: an updated literature survey

Large-scale unit commitment under uncertainty: an updated literature survey

Modeling and Solution Techniques Used for Hydro Generation Scheduling

Optimizing power generation in the presence of micro-grids

Contact Info

Product

Resources

About