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Development of Fast Derivation Method of Revenue Distribution for Power Trading Support
Author(s) -
NAKAMURA RYOSUKE,
YOKOTA TOSHIMI,
TSURUGAI MITSUO,
SAWA TOSHIYUKI
Publication year - 2018
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.23081
Subject(s) - revenue , database transaction , negotiation , function (biology) , acceleration , electricity , value (mathematics) , operations research , power (physics) , computer science , cumulative distribution function , mathematical optimization , econometrics , microeconomics , economics , probability density function , finance , mathematics , engineering , statistics , electrical engineering , physics , classical mechanics , quantum mechanics , evolutionary biology , political science , law , biology , programming language , machine learning
SUMMARY We are developing the power trading support system for judgment on making contract of negotiation transaction. About this system, fast derivation method of revenue distribution is developed. Calculation amount of deriving revenue is very large, because risk factors take a various value. Revenue is derived using “cost function” which represents the price against the amount of electricity generation. The total number is same as combination of risk factors. So, in developed method, risk factors are considered sequentially in calculation, and temporary cost function is assembled on each step. We evaluated the trade‐off of between effect of acceleration and error amount by example. We got the prospects that cumulative probability error is within 2% and calculation time is within 1 min.