Impact of implementing a price-based demand response program on the system reliability in security-constrained unit commitment problem coupled with wind farms in the presence of contingencies

Mansourshoar, Paria; Yazdankhah, Ahmad Sadeghi; Vatanpour, Mohsen; Mohammadi‐Ivatloo, Behnam

doi:10.1016/j.energy.2022.124333

Cited by 14 publications

(5 citation statements)

References 31 publications

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“…The net charging and discharging energy of the EV battery is shown in (15) according to the efficiency of each battery. Equation (16) shows the amount of power injected and received from or to the network by EVs, which is calculated by the charging and discharging rate of the battery. The charging and discharging statuses of EVs are shown in (17).…”

Section: Proposed Formulationmentioning

confidence: 99%

“…In [16], an MILP model was proposed for the price-based demand response program based on system reliability in the problem of unit commitment with security constraints along with wind farms in the presence of unforeseen events with-out energy storage systems and power plant emissions. In [17], an MILP model was proposed for the problem of unit commitment with large-scale wind farms considering the demand response problem with multi-time scale flexibility constraints.…”

Section: Introductionmentioning

confidence: 99%

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Stochastic Security-constrained Unit Commitment Considering Electric Vehicles, Energy Storage Systems, and Flexible Loads with Renewable Energy Resources

Gholami Trojani,

Samiei Moghaddam,

Mohamadi Baigi

2023

Journal of Modern Power Systems and Clean Energy

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In this paper, a new formulation for modeling the problem of stochastic security-constrained unit commitment along with optimal charging and discharging of large-scale electric vehicles, energy storage systems, and flexible loads with renewable energy resources is presented. The uncertainty of renewable energy resources is considered as a scenario-based model. In this paper, a multi-objective function which considers the reduction of operation cost, no-load and startup/shutdown costs, unserved load cost, load shifting, carbon emission, optimal charging and discharging of energy storage systems, and power curtailment of renewable energy resources is considered. The proposed formulation is a mixed-integer linear programming (MILP) model, of which the optimal global solution is guaranteed by commercial solvers. To validate the proposed formulation, several cases and networks are considered for analysis, and the results demonstrate the efficiency.

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Section: Proposed Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stochastic Security-constrained Unit Commitment Considering Electric Vehicles, Energy Storage Systems, and Flexible Loads with Renewable Energy Resources

Gholami Trojani,

Samiei Moghaddam,

Mohamadi Baigi

2023

Journal of Modern Power Systems and Clean Energy

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“…Integrated energy systems usually consist of a combination of several energy varieties. The combination of different energy technologies can reduce the reliance on a single energy technology to some extent and improve the reliability and security of the whole system (Mansourshoar, Yazdankhah, Vatanpour, & Mohammadi-Ivatloo, 2022). In addition, researchers have also conducted research on how to deal with various contingencies and failure situations, e.g., extreme weather (Xie, Sun, Fu, Chen, & Bie, 2023), sudden changes in supply and demand (Su et al, 2020), and troubleshooting (Cao et al, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of Carbon Capture (Storage) and Carbon Tax on Economic Dispatch of an Integrated Energy System

Tan,

Lin

2023

Journal of Global Information Management

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Finding the balance between economy and low emission of an integrated energy system (IES) has become one of the current research hotspots. This article introduces the carbon tax and carbon capture (storage) technology within the framework of the IES model. The IES comprises of components such as combined heat and power units equipped with carbon capture facilities, wind power generators, photovoltaic panels, and energy storage systems. The objective function of the model is the minimization of operational costs. Low-carbon economic operation dispatching problem under the constraints of energy conversion, energy balance, and operation cost is studied based on a mix-integer linear programming model. Through sensitivity analysis, this study explores the impact of varying carbon tax levels on the operational costs and emissions of an IES while considering peak and valley price differences. The emission reduction potential of the IES under different policy and technology scenarios is also estimated.

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“…For example, Mansourshoar et al [27] proposed unit-commitment constraints for implementing a price-based DR strategy for power system reliability. Similar studies were introduced by Alipour et al [28] on commitment constraints of units for the energy modelling of combined heat and power systems with DR.…”

Section: Fig 1 Demand Response Categoriesmentioning

confidence: 99%

A demand response strategy for air compressors network with optimal production and energy utilisation

Zulkafli

Jelas

Sulaima

et al. 2022

Preprint

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The approach of integrating demand response strategy with operational scheduling is used to investigate the flexibility in the operational performance under time-sensitive electricity tariffs and to provide cost benefits analysis to the industrial consumers. The proposed approach focused on implementing a demand response strategy in a case study of scheduling for an industrial network of compressors for Time of Use and Enhanced Time of Use tariffs for heavy industries. The optimisation framework was developed as a mixed integer linear programming model. The percentage of total cost reduction is around 5% to 13% by implementing a demand response program. A considerable percentage of cost saving is possible to achieve for the Enhanced Time of use tariff since it offers an extensive off-peak time zone during the night hours and on the weekend. It is concluded that the study highlights the operational performance goal of achieving cost savings by implementing a demand response strategy for energy industries.

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Impact of implementing a price-based demand response program on the system reliability in security-constrained unit commitment problem coupled with wind farms in the presence of contingencies

Cited by 14 publications

References 31 publications

Stochastic Security-constrained Unit Commitment Considering Electric Vehicles, Energy Storage Systems, and Flexible Loads with Renewable Energy Resources

Stochastic Security-constrained Unit Commitment Considering Electric Vehicles, Energy Storage Systems, and Flexible Loads with Renewable Energy Resources

Impact of Carbon Capture (Storage) and Carbon Tax on Economic Dispatch of an Integrated Energy System

A demand response strategy for air compressors network with optimal production and energy utilisation

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