Unit commitment in electrical power system-a literature review

Bhardwaj, Amit; Kamboj, Vikram Kumar; Shukla, Vijay Kumar; Singh, Bhupinder; Khurana, Preeti

doi:10.1109/peoco.2012.6230874

Cited by 46 publications

(27 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The aim of these approaches is to find how a given set of energy generators should satisfy a given demand in order to minimize the total operational costs. This is a very challenging optimization problem because of the large number of possible combinations of the statuses of the energy generation units of the network [14]. Several works focused on the management of energy production of deterministic energy demand.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

A rolling horizon optimization framework for the simultaneous energy supply and demand planning in microgrids

et al. 2015

View full text Add to dashboard Cite

This work focuses on the development of optimization-based scheduling strategies for the coordination of microgrids. The main novelty of this work is the simultaneous management of energy production and energy demand within a reactive scheduling approach to deal with the presence of uncertainty associated to production and consumption. Delays in the nominal energy demands are allowed under associated penalty costs to tackle flexible and fluctuating demand profiles. In this study, the basic microgrid structure consists of renewable energy systems (photovoltaic panels, wind turbines) and energy storage units. Consequently, a Mixed Integer Linear Programming (MILP) formulation is presented and used within a rolling horizon scheme that periodically updates input data information.Peer ReviewedPostprint (author's final draft

show abstract

Section: Literature Reviewmentioning

confidence: 99%

“…In the same way, Eqs. (14) and (15) determine the finishing time for energy consumption task jf . Also, Eq.…”

Section: Se Minmentioning

confidence: 99%

A rolling horizon optimization framework for the simultaneous energy supply and demand planning in microgrids

et al. 2015

View full text Add to dashboard Cite

show abstract

“…The aim of these approaches is to find how a given set of energy generators should satisfy a given demand in order to minimize the total operational costs. This is a very challenging optimization problem in the area of Energy Systems Engineering because of the huge number of possible combinations of the status of the generating units in the network [14]. In this field, several works were focused on the management of energy production of a fixed and given demand.…”

Section: State Of the Artmentioning

confidence: 99%

Improved time representation model for the simultaneous energy supply and demand management in microgrids

Silvente

Aguirre

Zamarripa

et al. 2015

Energy

View full text Add to dashboard Cite

This paper analyses the operational decision making procedures required to address the simultaneous management of energy supplies and requests in a microgrid scenario, in order to best accommodate arbitrary energy availability profiles resulting from an intensive use of renewable energy sources, and to extensively exploit the eventual flexibility of the energy requirements to be fulfilled. The optimization of the resulting short term scheduling problem in deterministic scenarios is addressed through a Mixed-Integer Linear Programming (MILP) mathematical model, which includes a new hybrid time formulation developed to take profit of the advantages of the procedures based on discrete time representations, while maintaining the ability to identify solutions requiring a continuous time representation, which might be qualitatively different to the ones constrained to consider a fixed time grid for decision-making. The performance of this new time representation has been studied, taking into account the granularity of the model and analyzing the associated trade-offs in front of other alternatives. The promising results obtained with this new formulation encourage further research regarding the development of decision-making tools for the enhanced operation of microgrids. Storage energy cost [m.u./kWh] Span of the time interval [h], Duration of consumption [h], Minimum power supply of source at interval [kW], Maximum power supply of source at interval [kW], Energy price to be sold to power grid at interval [m.u./kWh] , Minimum electricity storage of system at interval [kWh] , Maximum electricity storage of system at interval [kWh] , Initial storage level of system at interval [kWh] , , Period of time in which consumption is active at interval [h], Maximum initial time of consumption [h], Target initial time of consumption [h]  Binary variable indicating if consumption is active at interval t

show abstract

“…UC refers to the task of finding an optimal schedule and a production level for power system's each generating unit over a given time period, subject to a given load forecast and spinning reserve constraints [1], [2]. The goal behind UC problem is to balance demand with production while optimizing resources and costs [3].…”

Section: Introductionmentioning

confidence: 99%

Unit Commitment Problem in Electrical Power System: A Literature Review

Abdou

Tkiouat

2018

IJECE

View full text Add to dashboard Cite

Unit commitment (UC) is a popular problem in electric power system that aims at minimizing the total cost of power generation in a specific period, by defining an adequate scheduling of the generating units. The UC solution must respect many operational constraints. In the past half century, there was several researches treated the UC problem. Many works have proposed new formulations to the UC problem, others have offered several methodologies and techniques to solve the problem. This paper gives a literature review of UC problem, its mathematical formulation, methods for solving it and Different approaches developed for addressing renewable energy effects and uncertainties.

show abstract

Unit commitment in electrical power system-a literature review

Cited by 46 publications

References 32 publications

A rolling horizon optimization framework for the simultaneous energy supply and demand planning in microgrids

A rolling horizon optimization framework for the simultaneous energy supply and demand planning in microgrids

Improved time representation model for the simultaneous energy supply and demand management in microgrids

Unit Commitment Problem in Electrical Power System: A Literature Review

Contact Info

Product

Resources

About