A Comprehensive Valuation of Virtual Power Plant in Multiple Electricity Markets

Chen, Jianfu; Liu, Yao; He, Youjun; Pei, Xingyu; Li, Jianbiao

doi:10.1109/ei2.2018.8582575

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…On the non-regulated side, to avail the opportunity of having increased number of flexible resources, there are several players in the market such as, aggregator, virtual power plants (VPP), suppliers with demand response, who can provide a wide range of services for the utilities (TSO and DSO)-from fast frequency responses such as, primary response, ramping services, to medium and slow such as, secondary and tertiary responses; and voltage control and congestion management services; and peak-shaving and load levelling services. In the current scenario, the entities such as, demand aggregator units, aggregators and VPPs provide fast and slow flexibility services from aggregated resources such as, DERs, EVs, ESS, thermostatically controlled loads (TCL), direct load control connected at the MV and LV levels [18][19][20][21][22]. However, the operational objectives of each of these aggregated bodies is different.…”

Section: Background Review On Use Of Flexibilitiesmentioning

confidence: 99%

Grid‐aware provision and activation of fast and slow power flexibilities from distributed resources in low and medium voltage grids

Majumdar

Alizadeh‐Mousavi

2023

IET Generation Trans & Dist

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The intermittencies of renewable generations give rise to situations, which require both slow‐ and fast‐ramping flexibility capability from a variety of resources connected at the medium voltage (MV) andlow voltage (LV) distribution grids. Moreover, this may increase the grid reinforcement costs. To defer this reinforcement, the grid needs to be operated optimally. This paper proposes—(a) such an optimal operational methodology forthe MV and LV grids; and (b) an aggregated flexibility estimation methodology separately for fast and slow services at the primary substation (transmission interface). The methodologies based on model‐based MV grids and sensitivity coefficients‐based LV grids are suitable for LV grids where an up‐to‐date, accurate model and topology are not always available. Besides, the costs and resources associated to create full LV grid model and visibility should be prevented. The approaches, here, use the synchronised and accurate measurements from grid monitoring devices located at the LV distribution grids. They have been validated on a real MV and LV networks of a Swiss distribution grid operator equipped with such devices. The results, in terms of reducing technical losses, reducing grid violation costs,and estimating flexibility capability show the efficacy of the proposed methodologies and therefore, can be easily deployed.

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