Zonal network model of European interconnected electricity network

Purchała, Konrad; Haesen, Edwin; Meeus, Leonardo; Belmans, Ronnie

doi:10.1109/cigre.2005.1532763

Cited by 21 publications

(11 citation statements)

References 5 publications

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“…References [20]- [23] provide means to determine reserve zones. It is well-known that zones do not perfectly characterize network flows because they estimate cross-border flows and ignore intra-zonal congestion [24]. Nonetheless, zones are ubiquitous for reserve requirements because they allow operators to model transmission constraints on recourse decisions in an intuitive and computationally efficient way.…”

Section: Baseline Reserve Requirementsmentioning

confidence: 99%

Locational Reserve Disqualification for Distinct Scenarios

Lyon¹,

Zhang²,

Hedman

2015

IEEE Trans. Power Syst.

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Abstract-Reserve requirements promote reliability by ensuring resources are available to re-balance the power system following random disturbances. However, reliability is not guaranteed when reserve dispatch is limited by transmission constraints. In this work, we propose a modified form of reserve requirement that identifies response sets for distinct contingency scenarios. The approach disqualifies reserve from counting towards a particular scenario if transmission constraints are likely to render that reserve undeliverable. A decomposition algorithm for securityconstrained unit commitment dynamically updates the response sets to address changing conditions. Testing on the RTS 96 test case demonstrates the approach applied in tandem with existing reserve policies to avoid situations where reserve is not deliverable due to transmission constraints. Operational implications of the proposed method are discussed.

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Section: Baseline Reserve Requirementsmentioning

confidence: 99%

Locational Reserve Disqualification for Distinct Scenarios

Lyon¹,

Zhang²,

Hedman

2015

IEEE Trans. Power Syst.

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“…The individual quality of approximation mainly depends on several network characteristics and is hard to be rated in general (cf. [12,26,27]).…”

Section: Direct Current Load Flow Modelsmentioning

confidence: 99%

Network constraints in techno-economic energy system models: towards more accurate modeling of power flows in long-term energy system models

Nolden¹,

Schönfelder²,

Eßer-Frey³

et al. 2013

Energy Syst

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Power systems are subject to extensive structural changes as a result of the fact that the share of renewable energies in power supply will increase significantly within the next decades. This requires the transport of large amounts of electricity, e.g. from the North Sea to the large load centres. Moreover, the decentralized installations for the generation of electricity (e.g. PV) need to be integrated in the lower voltage power grids without violating net-safety constraints. As a consequence, the grid load in the system will rise to an extent that is hardly manageable with existing power grid capacities. Therefore, while mostly neglected to date, the importance of considering the power grid in energy system models increases significantly. Within this paper, different examples will be given how network constraints can be considered in techno-economic energy system models with a focus on capacity expansion planning and a long-term time horizon. Firstly, a multi-period linear optimization model will be presented, which comprises the system equations for power generation and transmission. The latter is analyzed with the help of a DC power flow model. Secondly, the usage of an AC power flow modeling tool for a detailed representation of the medium and low voltage power grid will be described. Finally, we will present an illustrative example application of a new mathematical approach for grid modeling in techno-economic energy system models.

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“…The importance of developing a common electricity market in Europe has been highlighted in the literature, and many researchers have studied market coupling solutions [4]- [12]. A common feature in the current literature is that all intra-zonal lines are considered not congested, since the area's internal grid is considered strong enough to cope with internal dispatch.…”

Section: Introductionmentioning

confidence: 99%

“…A common feature in the current literature is that all intra-zonal lines are considered not congested, since the area's internal grid is considered strong enough to cope with internal dispatch. Specifically, in [4] a zonal network model is presented and tested on the UCTE network, in which DC network representation is used considering only the interconnection transmission limits between the control zones. The same formulation is proposed in [5], using a DC network representation, considering only the interconnection flows, tested on the Central-Western European (CWE) Region system.…”

Section: Introductionmentioning

confidence: 99%

European Market Integration With Mixed Network Representation Schemes

Biskas

Chatzigiannis

Dourbois

et al. 2013

IEEE Trans. Power Syst.

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A centralized market-splitting algorithm is implemented in this paper in a Europe-wide level, comprising both power pools and Power Exchanges, with each local/national market respecting the standard constraints imposed by its own regulatory framework, including the full set of unit technical/commitment constraints and system operating constraints in power pools. In view of the forthcoming large-scale RES penetration, physical markets with unit-based offers (either pools or PXs) check the feasibility of the electricity market solution against their internal (intra-zonal) transmission network constraints, considering full network topology. This is accomplished through an iterative process, iterating between the overall optimization algorithm, and intra-zonal power flows of the countries/regions, which identify possible congestions and incorporate additional constraints in the central pan-European market-splitting problem. The iterative process terminates when all internal transmission constraints are satisfied. Locational marginal prices (LMPs) can be computed in the physical markets, whereas zonal/system marginal prices are computed in markets with portfolio-bidding schemes. The proposed algorithm is tested in terms of computational efficiency using the full UCTE network.Index Terms-Internal electricity market, market splitting, mixed integer linear programming, power exchange, power pool, power transfer distribution factors.

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Zonal network model of European interconnected electricity network

Cited by 21 publications

References 5 publications

Locational Reserve Disqualification for Distinct Scenarios

Locational Reserve Disqualification for Distinct Scenarios

Network constraints in techno-economic energy system models: towards more accurate modeling of power flows in long-term energy system models

European Market Integration With Mixed Network Representation Schemes

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