Increased Utilization of Wind Generation by Coordinating the Demand Response and Real-time Thermal Rating

Ali, Mubbashir; Degefa, Merkebu Zenebe; Humayun, Muhammad; Safdarian, Amir; Lehtonen, Matti

doi:10.1109/tpwrs.2015.2498899

Cited by 56 publications

(34 citation statements)

References 21 publications

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“…OSs in [48][49][50][51] optimize PS's power flows using the residential demand-response service. Specifically, the OS in [48] controls the power consumption of domestic heat pumps in response to a PS frequency, and the OS in [49] controls a group of heating, ventilation, and air-conditioning loads. The OS in [51] combines the centralized and decentralized approach.…”

Section: Ps Oss Regulating the Power Consumption During The Optimizatmentioning

confidence: 99%

Review of Trends and Targets of Complex Systems for Power System Optimization

Vysocky

Mišák

2020

Energies

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Optimization systems (OSs) allow operators of electrical power systems (PS) to optimally operate PSs and to also create optimal PS development plans. The inclusion of OSs in the PS is a big trend nowadays, and the demand for PS optimization tools and PS-OSs experts is growing. The aim of this review is to define the current dynamics and trends in PS optimization research and to present several papers that clearly and comprehensively describe PS OSs with characteristics corresponding to the identified current main trends in this research area. The current dynamics and trends of the research area were defined on the basis of the results of an analysis of the database of 255 PS-OS-presenting papers published from December 2015 to July 2019. Eleven main characteristics of the current PS OSs were identified. The results of the statistical analyses give four characteristics of PS OSs which are currently the most frequently presented in research papers: OSs for minimizing the price of electricity/OSs reducing PS operation costs, OSs for optimizing the operation of renewable energy sources, OSs for regulating the power consumption during the optimization process, and OSs for regulating the energy storage systems operation during the optimization process. Finally, individual identified characteristics of the current PS OSs are briefly described. In the analysis, all PS OSs presented in the observed time period were analyzed regardless of the part of the PS for which the operation was optimized by the PS OS, the voltage level of the optimized PS part, or the optimization goal of the PS OS.

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Section: Ps Oss Regulating the Power Consumption During The Optimizatmentioning

confidence: 99%

Review of Trends and Targets of Complex Systems for Power System Optimization

Vysocky

Mišák

2020

Energies

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“…This subsection presents a 2-capacity building model, as illustrated in Figure 2, to estimate the space heating requirement [7].…”

Section: Space Heating Modelingmentioning

confidence: 99%

“…Recently, curtailment mitigation solutions such as demand response [4][5][6], active network management [7,8], network reinforcement [9,10], market rules and support schemes [11], and storage technologies [12][13][14][15][16][17] have been investigated in literature. While each option has pros and cons, storage technologies would be imperative to ensure a tolerable level of curtailment.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Potential Benefits and Limits of Electric Storage Heaters for Wind Curtailment Mitigation: A Finnish Case Study

2017

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Driven by policy changes and technological advancement, wind power installations are booming as compared to any other types of power generation. However, the increased penetration of renewable generation in the power systems has resulted in high level of curtailment. Advanced energy storage technologies have been increasingly scrutinized as a feasible mitigation option in smart grids. This paper investigates the potential of mitigating wind generation curtailment via aggregating the domestic electric storage heaters. The key findings show that aggregating domestic thermal storages is a viable option for curtailment mitigation, but with the indispensable caution that mitigation potential significantly saturates as the share of wind generation escalates beyond a certain limit.

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“…Previous work has shown that application of DTR can increase thermal loading of transmission lines by 5% -15%, [7], and in that way release network capacity for connecting higher number of generation units and supplying more loads, [8], [9], [10]. Implementation of DTR models for optimal power flow (OPF) analysis of networks with wind-based generation is presented in [11] and [12].…”

Section: Introductionmentioning

confidence: 99%

Handling uncertainties with affine arithmetic and probabilistic OPF for increased utilisation of overhead transmission lines

Fang

Zou

Coletta

et al. 2019

Electric Power Systems Research

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Large-scale integration of variable and unpredictable renewable-based generation systems poses significant challenges to the secure and reliable operation of transmission networks. Application of dynamic thermal rating (DTR) allows for a higher utilisation of transmission lines and effectively avoids high-cost upgrading and/or reinforcing of transmission system infrastructure. In order to efficiently handle ranges of uncertainties introduced by the variations of both wind energy sources and system loads, this paper introduces a novel optimization model, which combines affine arithmetic (AA) and probabilistic optimal power flow (P-OPF) for DTR-based analysis of transmission networks. The proposed method allows for the improved analysis of underlying uncertainties on the supply, transmission and demand sides, which are expressed in the form of probability distributions (e.g. for wind speeds, wind directions, wind power generation and demand variations) and related interval values. The paper presents a combined AA-P-OPF method, which can provide important information to transmission system operators for evaluating the trade-off between security and costs at a planning stage, as well as for selecting optimal controls at operational stage. The AA-P-OPF methodology is illustrated for a day-ahead planning, using a case study of a real transmission network and a medium size test distribution network.. .

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Increased Utilization of Wind Generation by Coordinating the Demand Response and Real-time Thermal Rating

Cited by 56 publications

References 21 publications

Review of Trends and Targets of Complex Systems for Power System Optimization

Review of Trends and Targets of Complex Systems for Power System Optimization

Assessing the Potential Benefits and Limits of Electric Storage Heaters for Wind Curtailment Mitigation: A Finnish Case Study

Handling uncertainties with affine arithmetic and probabilistic OPF for increased utilisation of overhead transmission lines

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