A Quantitative Analysis of the Relationship Between Congestion and Reliability in Electric Power Networks

Blumsack, Seth; Lave, Lester B.; Ilić, Marija

doi:10.5547/issn0195-6574-ej-vol28-no4-4

Cited by 60 publications

(51 citation statements)

References 45 publications

(52 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are other ways to relieve congestion in addition to grid expansions (see for instance Ilić et al [35] or Buijs et al [12]), but they fall beyond the scope of this paper. And some transmission 'expansions' can indeed increase congestion (Blumsack et al [6], Bushnell and Stoft [13]), but they are more the exception than the rule. We ignore inflation and efficiency targets at this stage.…”

Section: Methodsmentioning

confidence: 99%

“…Following Blumsack et al [6], we define the congestion cost as the difference in system cost to serve identical demand profiles in a system with and without a given line. Since our definition of total costs rests on two main pillars (supply-- and demand--side costs), we can subtract the latter (unserved load times ) from total costs to derive an (average) estimate of the former (generation costs).…”

Section: Base Case: No Load Growth With L1 + L2mentioning

confidence: 99%

“…Thus we have implicit rationing costs. Following Blumsack et al [6], we make two simplifying assumptions: all consumers in the network have an identical and constant value of lost load per unit, , for any level of electricity use. Thus demand--side costs equal the above difference times .…”

Section: Economic Environmentmentioning

confidence: 99%

“…The incentives to co-operate and undertake beneficial investments further depend on the business models adopted in different electricity markets (Wu et al [60]) and on network tariff architectures (Sakhrani and Parsons [53]). 6 There would be no further problem in using our model for a yearly period on an hourly basis (8,760 steps) apart from the increase in the time required for computation.…”

Section: Introductionmentioning

confidence: 99%

“…Unfortunately, our long--term simulation comes at the cost of framing the optimization problem on a longer time (for example, a week instead of an hour). 6 We allow random infrastructure failures. We run a number of simulations for key physical and economic variables.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Market-based valuation of transmission network expansion. A heuristic application in GB

Gómez

Abadie

Neufville

et al. 2012

Energy

View full text Add to dashboard Cite

Transmission investments are currently needed to meet an increasing electricity demand, to address security of supply concerns, and to reach carbon emissions targets. A key issue when assessing the benefits from an expanded grid concerns the valuation of the uncertain cash flows that result from the expansion. We develop a valuation model which combines optimization techniques, Monte Carlo simulation over the expansion project lifetime, and market data from futures contracts on commodities. The model allows for random failures in generation and transmission infrastructure. Uncertainty stems also from nodal loads, fuel prices, allowance prices, wind generation, and hydro generation. Thus the model accounts for the stochastic dynamics on both the demand side and the supply side. To demonstrate the model by example, we consider a simplified network with two nodes. It is intended to broadly resemble the power generation sectors in England/Wales and Scotland. We then focus on the proposed Western HVDC subsea link. We simulate the whole distribution of effects on system costs, carbon emissions, and unserved load.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Base Case: No Load Growth With L1 + L2mentioning

confidence: 99%

Section: Economic Environmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Market-based valuation of transmission network expansion. A heuristic application in GB

Gómez

Abadie

Neufville

et al. 2012

Energy

View full text Add to dashboard Cite

show abstract

Probabilistic multi-objective transmission investment and expansion planning

Arabali

Hosseini

Moeini‐Aghtaie

2014

Int. Trans. Electr. Energ. Syst.

View full text Add to dashboard Cite

Summary In market‐based planning studies, the financial aspects of transmission grids have been posed as a major challenge since these are important keys to provide a non‐discriminative and competitive environment for energy market participants. In this respect, this paper proposes a probabilistic multi‐objective transmission expansion planning algorithm considering private investors' preferences, technical concerns, and random nature of power system uncertainties. The combination of Non‐Dominated Sorting Genetic Algorithm II, as a widely‐used robust multi‐objective optimization technique, and point estimation method is employed to handle non‐commensurable probabilistic objective functions. The IEEE Reliability Test System is taken into consideration as the test system to verify and address the different aspects of the proposed method. Copyright © 2014 John Wiley & Sons, Ltd.

show abstract

Toward a combined merchant-regulatory mechanism for electricity transmission expansion

2010

View full text Add to dashboard Cite

show abstract

A Quantitative Analysis of the Relationship Between Congestion and Reliability in Electric Power Networks

Cited by 60 publications

References 45 publications

Market-based valuation of transmission network expansion. A heuristic application in GB

Market-based valuation of transmission network expansion. A heuristic application in GB

Probabilistic multi-objective transmission investment and expansion planning

Toward a combined merchant-regulatory mechanism for electricity transmission expansion

Contact Info

Product

Resources

About