Digital Signal Processing Reference
In-Depth Information
The Application of Optimization of Gradual Steps
in Blended-Fuel Power Plant
Min Chen
1
, Yan Zhang
2
, Yaojin Liang
2
, and Daogang Peng
1
1
School of Electric Power and Automation Engineering, Shanghai University of Electric Power,
Shanghai, China
2
Power Plant of Baoshan Iron &Steel Co. Ltd., Shanghai 200941, China
Abstract.
With the development of science and technology, the energy and
resource we need are increasing gradually. But the limitation of natural resource,
human reliance on natural resource and the urgency of national environmental
requirements make us to think about how to use our natural resource efficiently.
In order to reduce the coal consumption rate for power supply and keep the unit
running economically, the blended-fuel power plant plays an more and more
important role in our country. It mainly involves the following aspects: the
optimization in Automatic Gain Control, the optimization in distribution of load
and fuel and the optimization in Start/Stop service. What we should do is making
rational analysis and research on the mathematical model, then find a reasonable
and practical simulation algorithm and optimize allocation scheduling design
based on it.
Keywords:
optimization of gradual steps, blended-fuel power plant, power plant
integrated benefit, the optimization in Automatic Gain Control.
1
Introduction
The optimization of generating sets in blended-fuel power plant is a novel and
independent way of energy scheduling, and the relevant research is also in the early
stage. Because of its big difference from the conventional coal-fired power plant on
scheduling and optimization, so there is no existing scheduling model and optimized
dispatching method can apply.
But the economy and integrated benefit of power plant is always the focus of our
attention, so in the designation of scheduling optimization problem between 5
generators is only a question of the optimization in Automatic Gain Control, but also a
question of start/stop maintenance, unit aging, labor cost and maintenance expense, so
we usually use power supply cost as economy index that can accurately response unit
production economy. This thesis is mainly about the multi-objective decision in unit
optimization scheduling, BFG/coal/electric optimization, making the maximize use of
industrial waste gas, in order to improve the efficiency to achieve the objective of
energy saving and emission reduction. Guarantee the power for power plant itself and
