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Consistency Guaranteed Two-Timescale Optimization Decision for Energy Management System in Nuclear Power Plant

  • Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

When a nuclear power plant is in normal operation, the generated electric energy is divided into two circuits. One is boosted and transmitted to the State Grid, and the other (about 5%) is used for the electrical equipment in the nuclear power plant after voltage reduction. As an important part on the user side of smart grid, the Energy Management System (EMS) is of great significance for reducing energy consumption. Meanwhile, under the unique environment of high humidity and high salinity of nuclear power plants, Heating, Ventilation, and Air Conditioning (HV AC) accounts for most of the energy consumption except nuclear power unit. An EMS optimization decision problem is usually formulated in multiple timescales. In order to make the electric dispatching for electrical equipment (represented by HVAC) except nuclear power unit and improve environment comfort, a two-timescale optimization decision model is built in this paper. According to the characteristic of nuclear power plant, the state relationship of two-timescale is in mean value type, and the consistency of two-timescale is guaranteed. With the actual data of a nuclear power plant in China, the results of case study demonstrate the validity of the proposed model and it can satisfy the environment comfort with energy limited.

Original languageEnglish
Title of host publicationFourth International Conference on Artificial Intelligence and Electromechanical Automation, AIEA 2023
EditorsFushuan Wen, Chuanjun Zhao, Yanjiao Chen
PublisherSPIE
ISBN (Electronic)9781510666412
DOIs
StatePublished - 2023
Event4th International Conference on Artificial Intelligence and Electromechanical Automation, AIEA 2023 - Nanjing, China
Duration: 10 Mar 202312 Mar 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12709
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference4th International Conference on Artificial Intelligence and Electromechanical Automation, AIEA 2023
Country/TerritoryChina
CityNanjing
Period10/03/2312/03/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Energy management
  • Environment comfort
  • Mean value type
  • Nuclear power plant
  • Two-timescale optimization decision

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