Economic-environmental-security transform curves of electric power system production schedules and simulations
Author(s)
Gruhl, Jim
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A quasi-optimal technique ('quasi' in that the technique
discards unreaonable optimums), realized by a dynamially
evolving mixed integer program, is used to develop regional
electric power maintenanee and production sample schedules,
as well as unit commitment sample schedules. This sophisticated,
yet omputationally feasible, method is used to develop the
bulk dispatch schedules required to meet electric power
demands at various preset reliability levels while oentrolling
the associated dollar and environmental impact consequences.
This report considers a hypothetical system of about
twelve power plants situated close to one another on the
same river system. The maintenance and unit commitment
scheduling mechanisms are used to display the tradeoffs
which exist between the economic costs, environmental
consequences and reliability levels of all possible optimum
schedules. These tradeoff, or transform, surfaces are
generated from acoul schedules for system opertio.
Also generated is a sample system imulation. Three
possible generation expansion plans are compared and their
potential operating performances are displayed. These
specifically hypothesized expansion plans were tested os
two different possible future load demand curves. The
results show that there is great value in the use of an
accurate dollar and environmental impact simulator.
Hypothetical data has been used, but effort has been
made to make this data as representl&tve as possible. The
results of this project show that a great amount of flexibility
is available to both the operations scheduler and the system
expansion planner, and that the dollar costs, water and air
pollution impacts cover a wide range of consequences.
These results also show that S.'i.opkebably very wasteful
to operate or plan a system using any simple, single-
minded measure of desirability as a decision making
strategy.
Description
Prepared in association with Electric Power Systems Engineering Laboratory and Dept. of Civil Engineering, M.I.T
Date issued
1973Publisher
MIT Energy Lab
Other identifiers
13433806
Series/Report no.
MIT-EL73-006
Keywords
Production scheduling, Electric power-plants -- Environmental aspects, Electric power-plants -- Costs, Electric power production
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