Distributed generation integrated with thermal unit commitment considering demand response for energy storage optimization of smart grid

Howlader, Harun Or Rashid; Matayoshi, Hidehito; Senjyu, Tomonobu

doi:10.1016/j.renene.2016.06.050

Cited by 44 publications

(15 citation statements)

References 26 publications

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“…It becomes an essential strategy for the power company to make an optimal schedule for generations to survive in a competitive deregulated market. Many researchers have published articles related to profit maximization, which are summarized below [33][34][35].…”

Section: Profit Maximization Ucmentioning

confidence: 99%

Energy Storage System Analysis Review for Optimal Unit Commitment

et al. 2019

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Energy storage systems (ESSs) are essential to ensure continuity of energy supply and maintain the reliability of modern power systems. Intermittency and uncertainty of renewable generations due to fluctuating weather conditions as well as uncertain behavior of load demand make ESSs an integral part of power system flexibility management. Typically, the load demand profile can be categorized into peak and off-peak periods, and adding power from renewable generations makes the load-generation dynamics more complicated. Therefore, the thermal generation (TG) units need to be turned on and off more frequently to meet the system load demand. In view of this, several research efforts have been directed towards analyzing the benefits of ESSs in solving optimal unit commitment (UC) problems, minimizing operating costs, and maximizing profits while ensuring supply reliability. In this paper, some recent research works and relevant UC models incorporating ESSs towards solving the abovementioned power system operational issues are reviewed and summarized to give prospective researchers a clear concept and tip-off on finding efficient solutions for future power system flexibility management. Conclusively, an example problem is simulated for the visualization of the formulation of UC problems with ESSs and solutions.

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Section: Profit Maximization Ucmentioning

confidence: 99%

Energy Storage System Analysis Review for Optimal Unit Commitment

et al. 2019

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“…Figure 4 gives these facts clearly [128]. The power system is integrated to provide low energy loss and high efficiency, so with this technology, the gap of the supply/demand is reduce and the power of the control system is increased; For example, home or office grid integration to generate energy by some local renewable energy sources [129][130][131][132][133].…”

Section: System Integrationmentioning

confidence: 99%

An Overview of Energy Scenarios, Storage Systems and the Infrastructure for Vehicle-to-Grid Technology

et al. 2018

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The increase in the emission of greenhouse gases (GHG) is one of the most important problems in the world. Decreasing GHG emissions will be a big challenge in the future. The transportation sector uses a significant part of petroleum production in the world, and this leads to an increase in the emission of GHG. The result of this issue is that the population of the world befouls the environment by the transportation system automatically. Electric Vehicles (EV) have the potential to solve a big part of GHG emission and energy efficiency issues such as the stability and reliability of energy. Therefore, the EV and grid relation is limited to the Vehicle-to-Grid (V2G) or Grid-to-Vehicle (G2V) function. Consequently, the grid has temporary energy storage in EVs’ batteries and electricity in exchange for fossil energy in vehicles. The energy actors and their research teams have determined some targets for 2050; hence, they hope to decrease the world temperature by 6 °C, or at least by 2 °C in the normal condition. Fulfilment of these scenarios requires suitable grid infrastructure, but in most countries, the grid does not have a suitable background to apply in those scenarios. In this paper, some problems regarding energy scenarios, energy storage systems, grid infrastructure and communication systems in the supply and demand side of the grid are reviewed.

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“…44 The controllable loads of the smart houses in the demand side are utilized to satisfy the transmission constraints. The storage is costly, and it will be helpful to determine the optimal battery energy storage capacity.…”

Section: Energy Efficiency and Renewable Energymentioning

confidence: 99%

“…A thermal unit's commitment program considers the DR system to satisfy the transmission constraints and thereby reduce the battery energy storage system capacity. 44 The controllable loads of the smart houses in the demand side are utilized to satisfy the transmission constraints. Electric thermal storage (ETS) can be used to alter electric heating demand without affecting comfort.…”

Section: Energy Efficiency and Renewable Energymentioning

confidence: 99%

A review on the features and technologies for energy efficiency of smart grid

Anjana¹,

Shaji

2017

Int J Energy Res

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Summary In today's world striving for efficiency in every sector, especially power generation and distribution, smart grids emerge as the solution for efficiently meeting the increasing demand. They adjust themselves to optimally deliver energy at the lowest cost and highest quality possible. The grid successfully makes use of renewable energy resources, electric vehicles, and smart pricing techniques in its attempt to achieve energy efficiency. It also promotes a greener environment by striving to reduce greenhouse gas emissions. Information communication technology (ICT) helps the grid in collecting consumption data from the consumers and in sharing tariff information. ICT also helps to gather information about the status of the grid with regard to aspects like power quality, faults etc. The purpose of this paper is to review recent literature with a view to comprehensively present the technologies employed in the smart grid for achieving energy efficiency and the challenges involved therein.

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Distributed generation integrated with thermal unit commitment considering demand response for energy storage optimization of smart grid

Cited by 44 publications

References 26 publications

Energy Storage System Analysis Review for Optimal Unit Commitment

Energy Storage System Analysis Review for Optimal Unit Commitment

An Overview of Energy Scenarios, Storage Systems and the Infrastructure for Vehicle-to-Grid Technology

A review on the features and technologies for energy efficiency of smart grid

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