Cost impact of dynamically managing generation reserves

Cedeno, Enrique B.; Arora, Sant

doi:10.1016/j.ijepes.2013.02.032

Cited by 6 publications

(8 citation statements)

References 19 publications

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“…Whereas the generation reserve management problem, studied in this paper, is concerned with determining the optimal levels of generation reserve to meet demand variability subject to all relevant constraints in the amounts imposed by the central planner. This paper extends the research developed in [4,5] to advocate the use of mathematical models [2] to determine generation reserve requirements instead of using empirical rules [6,7].…”

Section: Introductionmentioning

confidence: 90%

Security of Supply and Generation Reserve Management Delegation under Extremely High Load Curtailment Cost

Cedeno

2015

AMM

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Power failures in a number of electric systems worldwide emphasize the importance of security of electric supply. Security of supply involves long term resource adequacy and medium to short term generation reserve management. Generation reserve requirements are usually determined using empirical rules considering the demand as a deterministic quantity. Ignoring randomness could lead to suboptimal decisions. The research presented here differs from that prevailing in the literature by considering the demand as a random variable following a doubly truncated normal distribution this has the advantage of allowing considering day to day and seasonal variations. In this paper two new mathematical models are presented to determine generation reserve requirements for a market in which the regulator imposes an extremely high load curtailment cost in any unmet demand and delegates the role of buying generation reserves on the generators in a secondary market. These models are helpful tools to study analytically or by numerical simulation the interactions between the two markets. A potential scope for application of the proposed models is presented for the Colombian electric market.

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Section: Introductionmentioning

confidence: 90%

Security of Supply and Generation Reserve Management Delegation under Extremely High Load Curtailment Cost

Cedeno

2015

AMM

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“…Thus T 0 f (t, 0, T, μ, σ )dt = 1 for any μ and σ . Examples can be found in Robert (1995), Cedeno and Arora (2013), and Barr and Sherrill (1999).…”

Section: System Vulnerability Model With Truncated Normally Distributmentioning

confidence: 99%

“…However, in many situations this is not the case. For example, service systems with multiple servers, power supply grids with multiple power generations, transportation networks, wind farms with multiple wind turbines are characterized by critical events, such as maximal website traffic, peak power demand and largest production capacity (Cedeno and Arora, 2013;Lau and Mcsharry, 2010). Since both agents have full information about each other and causing the greatest damage is the main drive for the attacker, it is reasonable for the attacker to attack the system during the critical event.…”

Section: Introductionmentioning

confidence: 99%

“…The truncated normal distribution is widely used to model the time distribution of the critical event with uncertainties in many models (Cedeno & Arora, 2013;Lau & Mcsharry, 2010;Ramirez-Marquez & Rocco, 2012;Torres, Brumbelow, & Guikema, 2009;Wei, Jin, & Shen, 2012;Yuan, Zhao, & Zeng, 2014). The attack time is usually restricted by lower and upper bounds (for example, by a system mission time or by a time of conflict situation).…”

Section: Introductionmentioning

confidence: 99%

“…The uniform distribution (Levitin & Hausken, 2011) does not allow taking into account the defender's partial knowledge about the possible attack time. Considering the normal distribution (Cedeno & Arora, 2013) makes the analysis more complicated as it does not consider the time boundary (horizon) and assume unrealistic attack times (though with low probability).…”

Section: Introductionmentioning

confidence: 99%

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