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Erschienen in:
Introduction Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

3. Modeling of Complex Systems Including Transmission, Distribution, Aggregation, Ancillary Services Markets

verfasst von : Mario Džamarija, Guillaume Leclercq, Miguel Marroquin, Manita Herman

Erschienen in: TSO-DSO Interactions and Ancillary Services in Electricity Transmission and Distribution Networks

Verlag: Springer International Publishing

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Abstract

With an increased deployment of DERs, and a supporting distribution grid ICT infrastructure in place, the flexibility potential of these resources can be utilized to provide services both locally and for overall system – to a mutual benefit of DER owners and system operator. In order to achieve this there is a need to coordinate TSOs and DSOs, as discussed in Chap. 2, as well as to implement new market architectures, as detailed in this chapter, so as to manage flexibility offers from DERs. For the most part, this chapter provides mathematical models of different market framework components: aggregation of flexibility offers from DERs, ancillary services (AS) market architecture, market arbitrage, transmission, and distribution network models. In addition, this chapter discusses the computational complexity aspects of the market clearing algorithm and, in context of this, how the key AS market parameters, as well as the choice of the TSO-DSO coordination scheme, impact its tractability.

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Vorheriges Kapitel TSO-DSO Interaction and Acquisition of Ancillary Services from Distribution
Nächstes Kapitel ICT Requirements in a Smart Grid Environment
Fußnoten
1
For the sake of the example, only upward flexibility is illustrated. Prices are expressed in cur/MWh.
 
2
This minimum price can even be negative for upward flexibility.
 
3
This does not pretend to be an exhaustive list, but a selection of useful ways to cooperate.
 
4
For example, in the USA, the minimum required size of generation as well as demand response to access the market is 100 kW [20].
 
5
Aggregators’ bidding strategies will not only depend on costs but also on the gain opportunities offered by the present market session, depending on a guess on the bids from other subjects and on an estimation of the market power owned by the bidder. However, for simplicity we are not going to consider such aspects, which would require a much more complex modeling approach (e.g., game theory-based models).
 
6
The baseline can be obtained from the previous market, i.e., day-ahead, intraday, or the previous, i.e., t − 1, AS market clearing.
 
7
PQ capability diagram characterizes active and reactive power limits of a generator.
 
8
Here, we consider thermostatically controlled devices, such as air-conditioning and heaters, as well as time-shiftable devices (i.e., controlled by a timer) like washing machines and dishwashers.
 
9
In the literature it is referred to as the curtailable bid, which has a single price for a range between two quantities, and the market operator can accept any value between these two quantities.
 
10
For simplicity we omit the detailed equation for each component of the flexibility cost equation. A comprehensive explanation, with equations, can be found in deliverables D2.1 [41] and D2.2 [42], of the SmartNet project.
 
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Metadaten
Titel
Modeling of Complex Systems Including Transmission, Distribution, Aggregation, Ancillary Services Markets
verfasst von
Mario Džamarija
Guillaume Leclercq
Miguel Marroquin
Manita Herman
Copyright-Jahr
2020
Buch
TSO-DSO Interactions and Ancillary Services in Electricity Transmission and Distribution Networks

Print ISBN: 978-3-030-29202-7

Electronic ISBN: 978-3-030-29203-4

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-29203-4_3