Research of self-power Generation Scheduling Model Base on Multi-objective in Iron and Steel Enterprises
Year: 2017
Type: conference-paper
Abstract: With the targets of the minimum cost of power generation and the lowest rate of gas emission in iron and steel enterprises, a multi-objective self-power generation optimal scheduling model was built based on multi-objective particle swarm optimization the research of coupling relationship of gas and power. And by using the hierarchical decomposition method, the model was broken down into two parts: optimization of gas system and optimization of thermal and power system. The case analysis indicated that: the model could distribute the energy of gas and power reasonably, safely and efficiently when the production condition was changed, and improve the energy utilization efficiency.
Source: MATEC Web of Conferences
Authors: Xin Geng, Honghai Niu, Jun Chen, Bing Li
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2594801514