Analysis of unit commitment problem through Lagrange relaxation and priority listing method

Raj, Vinod M; Chanana, Saurabh

doi:10.1109/34084poweri.2014.7117779

Cited by 9 publications

(7 citation statements)

References 11 publications

(12 reference statements)

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“…This new index is comprised of easily obtainable values, and is used to rank generators in each time period, creating a list that distinguishes between significant and less significant units. The formed list has a vague resemblance to priority lists presented in [13] or [14], but is more relevant to be used during time-sensitive restoration than those.…”

Section: A Gpwd Factormentioning

confidence: 99%

Rapid Method for Generation Prioritization during System Restoration with Renewable Resources

Mate,

Cotilla-Sanchez

2021

Preprint

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Quick and reliable power system restoration is critically important after natural disasters or other sudden threats, such as cyber-attacks. Leveraging renewable resources in system restoration shortens recovery times, resulting in prevented life-loss and avoided economic-loss, and improves the resilience of the entire grid. However, it is not a common practice today; the inherent variability of these resources represents a challenge for a streamlined restoration process. This paper presents a prioritized method --starting with renewable generator units then lowering priority to conventional units --to plan the operational schedule of a power system during the restoration process. The goal is to achieve a well balanced system in the presence of significant renewable penetration. Validation and benchmarking experiments were performed on a customized version of the RTS-GMLC test system using six months out of year-long data, tested through hourly simulations. After evaluating the performance and computational costs, this method proved faster than common approaches: a MILP Unit Commitment algorithm, widely used today, and an "enable-and-try" algorithm. In summary, herein a more convenient method is provided to be utilized during timesensitive restoration, as an online operation-planning aid.

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Section: A Gpwd Factormentioning

confidence: 99%

Rapid Method for Generation Prioritization during System Restoration with Renewable Resources

Mate,

Cotilla-Sanchez

2021

Preprint

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“…In this section, the proposed algorithm is tested on the 10‐unit system in a 24 h time horizon. The UC data for this system can be found in [20]. The reserve offers are given in Table 1.…”

Section: Case Studiesmentioning

confidence: 99%

Stochastic network constrained payment minimisation in electricity markets

Nouri

Hosseini

Keane

2019

IET Generation, Transmission & Distribution

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“…Economic load dispatch (ELD) or the optimal load distribution of generators has been explored by various researchers working in the field of power system operation and control. Many techniques, such as priority listing [22], LaGrange relaxation (LR), Linear Programming (LP), and dynamic programming (DP), have been implemented in research for ED problems [23][24][25]. However, all aforementioned techniques do not apply to nonsmooth load curves.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Efficiency-Based Optimal Load Distribution for Modular SSTs with Biologically Inspired Optimization Algorithms

et al. 2022

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The battle of currents between AC and DC reignited as a result of the development in the field of power electronics. The efficiency of DC distribution systems is highly dependent on the efficiency of distribution converter, which calls for optimized schemes for the efficiency enhancement of distribution converters. Modular solid-state transformers (SSTs) play a vital role in DC distribution networks and renewable energy systems (RES). This paper deals with efficiency-based load distribution for solid-state transformers (SSTs) in DC distribution networks. The aim is to achieve a set of minimum inputs that are consistent with the output while considering the constraints and efficiency. As the main feature of modularity is associated with a three-stage structure of SSTs, this modular structure is optimized using ant lion optimizer (ALO) and validated by applying it to the EIA (Energy Information Agency) DC distribution network which contains SSTs. In the DC distribution grid, modular SSTs provide the promising conversion of DC power from medium voltage to lower DC range (400V). The proposed algorithm is simulated in MATLAB and also compared with two other metaheuristic algorithms. The obtained results prove that the proposed method can significantly reduce the input requirements for producing the same output while satisfying the specified constraints.

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Analysis of unit commitment problem through Lagrange relaxation and priority listing method

Cited by 9 publications

References 11 publications

Rapid Method for Generation Prioritization during System Restoration with Renewable Resources

Rapid Method for Generation Prioritization during System Restoration with Renewable Resources

Stochastic network constrained payment minimisation in electricity markets

Comparison of Efficiency-Based Optimal Load Distribution for Modular SSTs with Biologically Inspired Optimization Algorithms

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