Health Status Analysis and Optimization of Load Dispatch for Power Plant Boiler

Author:

Huang Shuang1,Yang Yujiu2,Huang Biqing3

Affiliation:

1. Department of Automation, Science and Technology, Beijing National Research Center for Information, Tsinghua University, Beijing 100084, China

2. Division of Information Science, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China

3. Beijing National Research Center for Information Science and Technology, Department of Automation, Tsinghua University, Beijing 100084, China

Abstract

Abstract Boiler is the main equipment of thermal power station. We established a health status evaluation model for the boiler’s superheater through a fuzzy comprehensive hierarchy analysis. Then, we explored the load-damage characteristic curve for ten boilers’ superheaters. Based on this, we aim to minimize the total damage of boilers in the thermal power station through load dispatch. Considering the start-stop state of all the boilers in one plant station, a heuristic Binary Particle Swarm Optimization algorithm for the Unit Commitment load dispatch model is put forward. The algorithm is proved valid to search the feasible particle both in efficiency and effectiveness in the ten-boilers system in 24 h period.

Funder

National Key R&D Program of China

Shenzhen Special Fund for the Strategic Development of Emerging Industries

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications,Software

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