Robust Distribution System Load Restoration With Time-Dependent Cold Load Pickup

Meng, Shu; nejad, Reza Roofegari; Sun, Wei

doi:10.1109/tpwrs.2020.3048036

Cited by 43 publications

(27 citation statements)

References 31 publications

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“…Enlightened by the approaches in the literatures, IGDT technique can be effective to solve an risk-assess decision making problem. The theory describes an uncertain model from both the favorable and adverse perspective, to be specific, the theory can be applied to maximize the robustness or revenue against uncertainty [24]. Using the envelop-bound model of IGDT, the uncertain parameters can be modeled as follows.…”

Section: B Igdt-basedmentioning

confidence: 99%

Day-Ahead Scheduling of Integrated Power and Water System Considering a Refined Model of Power-to-Gas

Gao

Chen

et al. 2022

IEEE Access

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To accommodate surplus electricity and decarbonize, power-to-gas (PtG) is being widely considered in the integrated energy system with high proportion of renewable energy. However, the reaction model of PtG should be refined for the sake of making a precise operation strategy and economic evaluation. Compared with the ordinary model of power-to-gas process, this article makes two main improvements. First, an explicit expression of electrolytic process is given according to the usage of electricity. In the refined electrolytic model, the recovery of the extra heat in the electrolytic process and the compression of feed-in gas is explored. Second, the response model of the methanation process to the intermittency of the renewable energy is established. Considering the increasing coupling of power system and water network, we formulate a day-ahead scheduling program for an integrated power and water system (IPWS). Thus, the role of double regulation of power-to-gas is more noticeable. Finally, the accuracy and economical performance of the refined model of power-to-gas is demonstrated through case studies. The results show a significant body of recoverable extra heat reaching 26.6% of the total power consumption. Also, it shows a dramatic growth in PtG's consumption by 61.9% considering compression consumption. Moreover, the information gap decision theory (IGDT) is applied in the unit commitment scheme. Based on IGDT, the impact of the renewable energy uncertainty on the decision-making of IPWS operator is discussed.

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Section: B Igdt-basedmentioning

confidence: 99%

Day-Ahead Scheduling of Integrated Power and Water System Considering a Refined Model of Power-to-Gas

Gao

Chen

et al. 2022

IEEE Access

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“…Equations ( 21) (23) indicate that the necessary conditions for restoring bus i at the k th step are that at least one transmission line connecting to bus i is restored, and at least one load block at bus i is restored. Equation (24) shows that at most one transmission line can be restored at each time step.…”

Section: 16mentioning

confidence: 99%

“…With the global temperature increasing year by year, a large amount of temperature control equipment is utilised, and the problem of cold-load pickup (CLPU) characteristics during the system restoration process is noteworthy [22]. The time-varying characteristic of the CLPU brings great challenges in the practical application of power system restoration schemes [23]. Reference [24] proposed a new methodology for assessing reliability of distribution systems taking the CLPU events into consideration.…”

Section: Introductionmentioning

confidence: 99%

A bi‐level approach to load restoration strategy considering variant length of time steps

Sun

Yang

et al. 2021

IET Generation Trans & Dist

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A bi‐level load restoration optimisation strategy is proposed for the transmission system with wind farm‐energy storage combined systems (WESs), taking the variant length of time steps into account. The upper level model is proposed to maximise weighted restored loads, and formulated as a mixed‐integer linear programming model. After solving the upper model, the optimal load pickup and transmission line restoration scheme can be obtained and delivered to the lower level model. The lower level model adopts a non‐linear model to minimise the length of the current time step, which is delivered to the upper lever model. By iteratively solving the upper and lower level models, the optimal load pickup and transmission line restoration scheme as well as the optimal length of current time step can be obtained. To minimise the gap between the scheduled generation of the WES and its actual power generation, a real‐time energy storage (ES) dispatch strategy is proposed taking maximum charging‐discharging cycles of the ES into account. The entire load restoration strategy can be obtained by iteratively solving the proposed model with updated operational conditions of power systems. Finally, two test systems are employed to verify the validity and correctness of the proposed model.

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“…Or, in order to provide a service within the energy system, it can be described as the modification of generation injection or consumption patterns in reaction to an external signal (price signal or activation) (Heydarian-Forushani and Golshan, 2020). At present, the proportion of flexible sources such as hydropower, pumped storage, and gas-fired power plants with adjustable performance in areas rich in renewable energy resources in China is low, and the system flexibility is insufficient (Kehler and Hu, 2011;Aghaei and Alizadeh, 2013;Song et al, 2021). Flexibility does not make coal-fired units clean, but making existing ones more flexible enables the integration of more renewable generation in the power system.…”

Section: Introductionmentioning

confidence: 99%

Flexibility System for Heilongjiang Power Grid Considering Carbon Reduction Targets

Liu

Ban

Jiang³

et al. 2022

Front. Energy Res.

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Enhancing the flexibility of power systems helps to balance the increasing renewable generation for achieving the rigid carbon reduction targets. The current flexible system in China can hardly meet the regulating demand of its ever-increasing renewable generation, especially in the Heilongjiang power grid (HPG), where the proportion of combined heat and power units that determine power generation by the heat requirement is enormous, while the peak shaving capacity in winter is limited. This research analyzes the necessity of establishing a new flexibility system for the HPG. Also, it introduces the new characteristics and the flexibility of the HPG. Then, it proposes classification and definition methods for the flexibility system of the HPG by referring to some similar power grids, e.g., the UK grid and the Danish grid. A simulation framework of power systems with flexibility enhancement is developed to perform quantitative evaluation of the HPG in different carbon reduction scenarios. The suggested flexibility system reorganizes and revises the principles of reserve classification, response time, and minimum reserve configuration. Simulation results verify the effectiveness of the proposed method through the measurement and analysis data of the HPG. This paper takes the HPG as an example to perform a quantitative analysis of the flexibility system. Also, it can provide tips and suggestions for other regions seeking carbon reductions.

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Robust Distribution System Load Restoration With Time-Dependent Cold Load Pickup

Cited by 43 publications

References 31 publications

Day-Ahead Scheduling of Integrated Power and Water System Considering a Refined Model of Power-to-Gas

Day-Ahead Scheduling of Integrated Power and Water System Considering a Refined Model of Power-to-Gas

A bi‐level approach to load restoration strategy considering variant length of time steps

Flexibility System for Heilongjiang Power Grid Considering Carbon Reduction Targets

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