Power flow control and its effect on flow-based transmission cost allocation

Mekonnen, Muhajir T.; Jonghe, Cedric De; Rawn, Barry; Hertem, Dirk Van; Belmans, Ronnie

doi:10.1109/eem.2013.6607388

Cited by 8 publications

(4 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The implication is that a reconsideration of LMP-based market trading would be useful to exploit the benefits of optimizing the transmission topology. Similar sensitivities of zonal prices were found by [27] and [28] of the flow-based market coupling to PST and HVDC parameters.…”

Section: Introductionsupporting

confidence: 74%

Optimal Transmission Topology for Facilitating the Growth of Renewable Power Generation

Little¹,

Bortolotti²,

Bourmaud³

et al. 2021

Preprint

View full text Add to dashboard Cite

Transmission topology control is a tool used by system operators in the role of a control action taken into account as a preventive or corrective action relative to a specific outage or set of outages. However, their inclusion in most electricity market frameworks is limited. With the increasing penetration of intermittent energy sources, optimal topology can be used as a lever of flexibility to decrease the total system cost. This paper demonstrates the evolution of optimal topology control on systems with increasing quantities of intermittent renewable energy along two axes. First, the effects of the increased variable sources on the variations of optimal topology are explored. Second, we elaborate on the growing advantages of exploiting transmissionlevel grid flexibility in terms of total system cost. Case studies are performed on a modified RTS-96 network.

show abstract

Section: Introductionsupporting

confidence: 74%

Optimal Transmission Topology for Facilitating the Growth of Renewable Power Generation

Little¹,

Bortolotti²,

Bourmaud³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…While MP can also be applied to a purely DC network (by linearising the DC load flow equations which encode the passive power flow because of the resistances in the DC network), it does not translate naturally to mixed AC–DC systems, since the power flow between the AC and DC networks is controllable and therefore does not change in response to marginal changes in load or generation. The issue is not just that the HVDC lines alter the flow in the AC network, as identified in [15], but that we also want to be able to allocate the flows in the HVDC lines themselves to particular market actors. Since the main loads and generators are still connected to the AC network, it is not always clear which actors are making use of the DC network.…”

Section: Mp Algorithmsmentioning

confidence: 99%

Transmission network loading in Europe with high shares of renewables

Brown

2015

IET Renewable Power Generation

View full text Add to dashboard Cite

The need for long-distance power transfers in the electricity system is being driven by both deeper market integration and the increasing share of renewables in generation. The best renewables resources are often located far from load centres, while variable renewables, such as wind and solar, benefit from smoothing effects when aggregated over large areas. However, the increased usage of transmission infrastructure raises the question of how the associated costs should be distributed. The authors present here the application of an existing algorithm called marginal participation (MP) which can be used to allocate the power flowing through each network asset (lines and transformers) to particular network users. They consider two new methods to extend the MP algorithm to high voltage direct current lines that operate parallel to alternating current networks. They then apply the allocation algorithm to a future scenario with high renewables penetration in Europe in 2050, developed as part of the Smooth PV project. They see a significant increase in network usage, including a rise in the proportion of cross-border flows. The increase in network usage is driven disproportionately by offshore wind, because of its geographical concentration away from load centres.

show abstract

“…Whereas the remaining network costs (RNC), which are the majority of the total cost, are recovered through network charges that are allocated to network users using PCNC. PCNC allocates costs to consumers in €/kW according to their contribution to the feeder's stress hour(s), which may be due to consumption or injection as in (8). This aims to guide the consumers through their long-term decisions, affecting DER investment choices while ensuring the recovery of the network costs.…”

Section: Cost-reflective Tariff Designmentioning

confidence: 99%

Evaluation Methodology for Tariff Design under Escalating Penetrations of Distributed Energy Resources

2017

View full text Add to dashboard Cite

Abstract:As the penetration of distributed energy resources (DERs) escalates in distribution networks, new network tariffs are needed to cope with this new situation. These tariffs should allocate network costs to users, promoting an efficient use of the distribution network. This paper proposes a methodology to evaluate and compare network tariff designs. Four design attributes are proposed for this aim: (i) network cost recovery; (ii) deferral of network reinforcements; (iii) efficient consumer response; (iv) recognition of side-effects on consumers. Through an analytical hierarchy process (AHP), the evaluation methodology is applied to compare traditional cost allocation methods, on the basis of 100% energy, 100% demand, and 50% energy-50% demand, with more advanced pricing methods based on distribution locational marginal prices in combination with cost-reflective network charges. Numerical results are obtained through a case study based on the IEEE 34-node test feeder with DER integration. The results illustrate the advantage of advanced pricing methods to promote an efficient integration of DER and demand price-response from consumers.

show abstract

Power flow control and its effect on flow-based transmission cost allocation

Cited by 8 publications

References 17 publications

Optimal Transmission Topology for Facilitating the Growth of Renewable Power Generation

Optimal Transmission Topology for Facilitating the Growth of Renewable Power Generation

Transmission network loading in Europe with high shares of renewables

Evaluation Methodology for Tariff Design under Escalating Penetrations of Distributed Energy Resources

Contact Info

Product

Resources

About