Genetic Electromagnetism-Like Mechanism Based Power System Optimization Research
Zhang, Lijie
Zhu, Li
Zhang, Yanhui
Download PDF

How to Cite

Zhang L., Zhu L., Zhang Y., 2017, Genetic Electromagnetism-Like Mechanism Based Power System Optimization Research , Chemical Engineering Transactions, 62, 1111-1116.
Download PDF

Abstract

To solve the problem of energy conservation with power system functioning, we researched intensively into the theory about hydrothermal power system energy-saving and the single-objective, multi-objective energy- saving regulation model building and optimizing approaches in this paper, surrounding the joint optimal regulation on hydrothermal power systems, in response to the complex space-time coupling between hydrothermal power systems with cascaded hydropower station, with a view to the rational and efficient utilization of hydropower resources and the saving of such non-renewable energy as coal. By building the compatibility conditions for hydropower station operation and the dynamic mathematical model of discarded water, a dynamic generating flow rate limit based optimal single-objective energy-saving regulation mathematical model for hydrothermal power systems is proposed. In response to the strong nonlinearity of built model, a genetic electromagnetism-like mechanism based energy-saving regulation model solution was proposed. This experimental study suggests that the genetic electromagnetism-like mechanism works in solving strongly nonlinear optimization problems. Thereby, power complemented with thermal power is an effective means to promote the power system efficiency and energy efficiency and to save non-renewable energy.
Download PDF