Energy and Flexibility Scheduling of DERs under TVPP’s Supervision using Market-Based Framework

Pourghaderi, Niloofar; Fotuhi‐Firuzabad, Mahmud; Moeini‐Aghtaie, Moein; Kabirifar, Milad

doi:10.1109/ieps51250.2020.9263110

Cited by 6 publications

(9 citation statements)

References 16 publications

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“…The PVs’ and HVACs’ uncertainties are considered through three scenarios for PV production and three scenarios for ambient temperature using the method explained in Section 2. The WFM prices associated with upward and downward FRP procurements are determined taking [5] and [29] into account which are depicted in Figure 7; the WFM price associated with upward/downward FRP procurement is high when the TSO requires more upward/downward FRP and it is low when less upward/downward FRP is required. Duration of intra‐hourly time intervals in the flexibility market is considered to be 15 minutes and each day contains a total number of 96 intra‐hourly time intervals.…”

Section: Study Resultsmentioning

confidence: 99%

“…In this paper, it is considered that the TSO has determined WFM prices associated with upward and downward FRP procurements to purchase its flexibility requirements from agents in the transmission level. The TVPP receives the WFM prices as a price-taker agent [5], [29] and accordingly determines its optimal flexibility offers to the market. In other words, the TVPP does not have to provide a specific portion of the TSO's flexibility requirements; this is because the TVPP should be able to determine the amount of flexibility offer to WFM based on its preferences and the LFM capabilities.…”

Section: System Model and Problem Descriptionmentioning

confidence: 99%

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A local flexibility market framework for exploiting DERs’ flexibility capabilities by a technical virtual power plant

Pourghaderi

Fotuhi‐Firuzabad

Moeini‐Aghtaie

et al. 2022

IET Renewable Power Gen

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This paper presents a new intra-day intra-hourly local flexibility market (LFM) framework to exploit distributed energy resources' (DERs) flexibility capabilities. A technical virtual power plant (TVPP) operates the LFM in which the DER aggregators participate. The TVPP offers the provided flexibility capabilities to wholesale flexibility market (WFM) as well as compensating the intra-hourly variability in power distribution network. In the proposed framework, the TVPP clears the LFM by considering hierarchical transactions with the aggregator agents to find the market equilibrium in which the DERs' flexibility capabilities are optimally exploited while all participating agents make profit by trading flexibility capabilities in the LFM. A bilevel optimization model with multiple lower levels is considered to address different agents' preferences and transactions in the LFM. In the upper-level problem, the TVPP aims at maximizing its profit while each lower-level problem represents an aggregator agent's optimization problem. The proposed model is reformulated into a single-level mixed integer linear programming problem and is implemented on the distribution network connected to Bus 5 of the Roy Billinton test system (RBTS) as well as a 119-bus test system. The results demonstrate the effectiveness of the model to utilize DERs' flexibility and provide revenue opportunities for different agents.

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Section: Study Resultsmentioning

confidence: 99%

Section: System Model and Problem Descriptionmentioning

confidence: 99%

A local flexibility market framework for exploiting DERs’ flexibility capabilities by a technical virtual power plant

Pourghaderi

Fotuhi‐Firuzabad

Moeini‐Aghtaie

et al. 2022

IET Renewable Power Gen

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“…By appropriate aggregation and coordination of DERs, their flexibility features can be utilized to mitigate the operational challenges of distribution network as well as offering flexibility to transmission systems. These achievements can be yielded by the concept of virtual power plants (VPPs) which can aggregate and manage the flexibility of diverse smallscale DERs under their supervision [3,4]. VPPs are categorized into commercial and technical virtual power plants (CVPPs and TVPPs, respectively); the CVPPs aggregate DERs without considering their geographical locations in the network and the impact of network constraints on the DER aggregated profile while the TVPPs consider the network operational constraints in their decision makings [5].…”

Section: Background and Motivationmentioning

confidence: 99%

Optimal energy and flexibility self‐scheduling of a technical virtual power plant under uncertainty: A two‐stage adaptive robust approach

Pourghaderi

Fotuhi‐Firuzabad

Moeini‐Aghtaie

et al. 2023

IET Generation Trans & Dist

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This paper presents a two‐stage adaptive robust optimization framework for day‐ahead energy and intra‐day flexibility self‐scheduling of a technical virtual power plant (TVPP). The TVPP exploits diverse distributed energy resources’ (DERs) flexibility capabilities in order to offer flexibility services to wholesale flexibility market as well as preserving the distribution network's operational constraints in the presence of DER uncertainties. The TVPP aims at maximizing its profit in energy and flexibility markets considering the worst‐case uncertainty realization. In the proposed framework, the first stage models the TVPP's participation strategy in day‐ahead energy market and determines the DERs’ optimal energy dispatch. The second stage addresses the TVPP's strategy in intra‐day flexibility market to determine the DERs’ optimal flexibility capability provision by adjusting their energy dispatch for the worst‐case realization of uncertainties. The uncertainty characteristics associated with photovoltaic units, electric vehicles, heating, ventilation and air conditioning systems, and other responsive loads as well as the transmission network's flexibility capability requests are considered using an adaptive robust approach. Adopting the duality theory, the model is formulated as a mixed‐integer linear programming problem and is solved using a column‐and‐constraint generation algorithm. This model is implemented on a standard test system and the model effectiveness is demonstrated.

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“…To avoid causing additional congestion, flexibility markets are cleared before the wholesale markets, but should that fail the authors have incorporated mechanisms for the DSO to voluntarily and compulsory manage the consumption profile. Some papers tackle optimal participation both in the existing wholesale market structures and novel local markets [27]- [29]. In [27], a two-stage co-optimization models participation in the DAM (first stage) and the real-time flexibility market (second stage).…”

Section: ) Local Flexibility Marketsmentioning

confidence: 99%

“…Some papers tackle optimal participation both in the existing wholesale market structures and novel local markets [27]- [29]. In [27], a two-stage co-optimization models participation in the DAM (first stage) and the real-time flexibility market (second stage). On the other hand, [28] presents an optimization model for home energy management systems from an aggregator's standpoint.…”

Section: ) Local Flexibility Marketsmentioning

confidence: 99%

Battery Storage Participation in Reactive and Proactive Distribution-Level Flexibility Markets

Badanjak

Pandžić

2021

IEEE Access

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Energy and Flexibility Scheduling of DERs under TVPP’s Supervision using Market-Based Framework

Cited by 6 publications

References 16 publications

A local flexibility market framework for exploiting DERs’ flexibility capabilities by a technical virtual power plant

A local flexibility market framework for exploiting DERs’ flexibility capabilities by a technical virtual power plant

Optimal energy and flexibility self‐scheduling of a technical virtual power plant under uncertainty: A two‐stage adaptive robust approach

Battery Storage Participation in Reactive and Proactive Distribution-Level Flexibility Markets

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