Loss of load explained
Loss of load should not be confused with Load loss.
Loss of load in an electrical grid is a term used to describe the situation when the available generation capacity is less than the system load. Multiple probabilistic reliability indices for the generation systems are using loss of load in their definitions, with the more popular being Loss of Load Probability (LOLP) that characterizes a probability of a loss of load occurring within a year. Loss of load events are calculated before the mitigating actions (purchasing electricity from other systems, load shedding) are taken, so a loss of load does not necessarily cause a blackout.
Loss-of-load-based reliability indices
Multiple reliability indices for the electrical generation are based on the loss of load being observed/calculated over a long interval (one or multiple years) in relatively small increments (an hour or a day). The total number of increments inside the long interval is designated as
(e.g., for a yearlong interval
if the increment is a day,
if the increment is an hour):
- Loss of load probability (LOLP) is a probability of an occurrence of an increment with a loss of load condition. LOLP can also be considered as a probability of involuntary load shedding;
- Loss of load expectation (LOLE) is the total duration of increments when the loss of load is expected to occur,
. Frequently LOLE is specified in days, if the increment is an hour, not a day, a term
loss of load hours (
LOLH) is sometimes used. Since LOLE uses the daily peak value for the whole day, LOLH (that uses different peak values for each hour) cannot be obtained by simply multiplying LOLE by 24; although in practice the relationship is close to
linear, the coefficients vary from network to network;
- Loss of load events (LOLEV) a.k.a. loss of load frequency (LOLF) is the number of loss of load events within the interval (an event can occupy several contiguous increments);
- Loss of load duration (LOLD) characterizes the average duration of a loss of load event:
One-day-in-ten-years criterion
A typically accepted design goal for
is 0.1 day per year ("
one-day-in-ten-years criterion" a.k.a. "1 in 10"), corresponding to
. In the US, the threshold is set by the
regional entities, like
Northeast Power Coordinating Council:
See also
Sources
- Web site: Loss of Load Probability: Application to Montana . Ascend Analytics . . 2019.
- Book: David Elmakias . 7 July 2008 . New Computational Methods in Power System Reliability . Springer Science & Business Media . 174 . 978-3-540-77810-3 . 1050955963 . .
- Book: Alessia . Arteconi . Kenneth . Bruninx . 7 February 2018 . Comprehensive Energy Systems . Elsevier . 140. 978-0-12-814925-6 . Energy Reliability and Management . 1027476919 . https://books.google.com/books?id=foxODwAAQBAJ&pg=RA4-PA140 . 5.
- Book: Meier, Alexandra von . 30 June 2006 . Electric Power Systems: A Conceptual Introduction . John Wiley & Sons . 230 . 978-0-470-03640-2 . 1039149555 .
- Book: Xi-Fan . Wang . Yonghua . Song . Malcolm . Irving . 7 June 2010 . Modern Power Systems Analysis . Springer Science & Business Media . 151 . 978-0-387-72853-7 . 1012499302 .
- Book: Studies in Systems, Decision and Control . Ela . Erik . Milligan . Michael . Bloom . Aaron . Botterud . Audun . Townsend . Aaron . Levin . Todd . Long-Term Resource Adequacy, Long-Term Flexibility Requirements, and Revenue Sufficiency . 2018 . 144 . 129–164 . Springer International Publishing . 2198-4182 . 2198-4190 . 10.1007/978-3-319-74263-2_6 . 978-3-319-74261-8 . https://books.google.com/books?id=5TtMDwAAQBAJ&pg=PA134.
- Web site: Probabilistic Adequacy and Measures: Technical Reference Report . . . 13 . February 2018.
- Book: Duarte . Yorlandys Salgado . Alfredo del Castillo . Serpa . Assessment of the Reliability of Electrical Power Systems . Antônio José da Silva Neto . Orestes Llanes Santiago . Geraldo Nunes Silva . Mathematical Modeling and Computational Intelligence in Engineering Applications . 2016 . Springer . 978-3-319-38868-7 . 10.1007/978-3-319-38869-4_11 . https://link.springer.com/chapter/10.1007/978-3-319-38869-4_11 .