A Review of Power System Flexibility With High Penetration of Renewables

Mohandes, Baraa; Moursi, Mohamed Shawky El; Hatziargyriou, Nikos D.; Khatib, Sameh El

doi:10.1109/tpwrs.2019.2897727

Cited by 309 publications

(167 citation statements)

References 75 publications

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“…In this way, system operators need to maintain the stability of the system at a specific threshold and increase the flexibility of the system using FERs. The flexibility of electrical systems could be defined as the continuous adjustability of the operating point of the network to accommodate the variations in predicted/unpredicted fluctuations of demand/generation [1]. Flexibility services can be provided by different FERs located in the transmission network and/or the distribution network.…”

Section: A Motivationmentioning

confidence: 99%

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Optimized Operation of Local Energy Community Providing Frequency Restoration Reserve

2020

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Section: A Motivationmentioning

confidence: 99%

“…Equation (1) shows that the ECMC's objective is to find the maximum upward and downward available flexibility which can be offered to the BSP for all of the considered scenarios and for all 24 hours of the following day.…”

Section: ) Flexibility Estimationmentioning

confidence: 99%

Optimized Operation of Local Energy Community Providing Frequency Restoration Reserve

2020

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“…The most recent research has evaluated the flexibility by considering both generation-and demand-side resources. For example, an index for flexibility of DR units has been introduced and various classifications and forms of flexibility have been presented in [15]. Then, different flexibility products and markets have been classified by also considering their location [16].…”

Section: Introductionmentioning

confidence: 99%

Towards Flexibility Trading at TSO-DSO-Customer Levels: A Review

et al. 2019

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The serious problem of climate change has led the energy sector to modify its generation resources from fuel-based power plants to environmentally friendly renewable resources. However, these green resources are highly intermittent due to weather dependency and they produce increased risks of stability issues in power systems. The deployment of different flexible resources can help the system to become more resilient and secure against uncertainties caused by renewables. Flexible resources can be located at different levels in power systems like, for example, at the transmission-level (TSO), distribution-level (DSO) and customer-level. Each of these levels may have different structures of flexibility trading as well. This paper conducts a comprehensive review from the recent research related to flexible resources at various system levels in smart grids and assesses the trading structures of these resources. Finally, it analyzes the application of a newly emerged ICT technology, blockchain, in the context of flexibility trading.

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“…In this paper, a ninth-order polynomial normal transformation (NPNT) technique [13,14] is firstly employed to model the random variables existing in the hybrid AC/VSC-MTDC grid. Owing to the ability to take the extra fifth/seventh to tenth moments into consideration, the NPNT can accommodate many distributions which are difficult for TPNT/FPNT, and correlation issue of multiple random variables modeling can be also addressed well by means of NPNT.Probabilistic modeling on the random input variables is just the initial step of the PPF analysis for hybrid AC/VSC-MTDC grid discussed herein, the following critical step is to propagate the randomness from inputs to target outputs by means of probabilistic methods [15]. As the DPF of the hybrid AC/VSC-MTDC grid is quite time-consuming and more complex than DPF of pure AC grid, the selected probabilistic methods should keep a good balance between computation accuracy and speed.…”

mentioning

confidence: 99%

“…Probabilistic modeling on the random input variables is just the initial step of the PPF analysis for hybrid AC/VSC-MTDC grid discussed herein, the following critical step is to propagate the randomness from inputs to target outputs by means of probabilistic methods [15]. As the DPF of the hybrid AC/VSC-MTDC grid is quite time-consuming and more complex than DPF of pure AC grid, the selected probabilistic methods should keep a good balance between computation accuracy and speed.…”

mentioning

confidence: 99%

Probabilistic Power Flow for Hybrid AC/DC Grids with Ninth-Order Polynomial Normal Transformation and Inherited Latin Hypercube Sampling

et al. 2019

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This paper proposes a new probabilistic power flow method for the hybrid AC/VSC-MTDC (Voltage Source Control-Multiple Terminal Direct Current) grids, which is based on the combination of ninth-order polynomial normal transformation (NPNT) and inherited Latin hypercube sampling (ILHS) techniques. NPNT is utilized to directly handle historical records of uncertain sources to build the accurate probability model of random inputs, and ILHS is adopted to propagate the randomness from inputs to target outputs. Regardless of whether the underlying probability distribution is known or unknown, the proposed method has the ability to adaptively evaluate the sample size according to a specific operational scenario of the power systems, thus achieving a good balance between computational accuracy and speed. Meanwhile, the frequency histograms, probability distributions, and some more statistics of the results can be accurately and efficiently estimated as well. The modified IEEE 118-bus system, together with the realistic data of wind speeds and diverse consumer behaviors following irregular distributions, is used to demonstrate the effectiveness and superiority of the proposed method.

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A Review of Power System Flexibility With High Penetration of Renewables

Cited by 309 publications

References 75 publications

Optimized Operation of Local Energy Community Providing Frequency Restoration Reserve

Optimized Operation of Local Energy Community Providing Frequency Restoration Reserve

Towards Flexibility Trading at TSO-DSO-Customer Levels: A Review

Probabilistic Power Flow for Hybrid AC/DC Grids with Ninth-Order Polynomial Normal Transformation and Inherited Latin Hypercube Sampling

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