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Day-ahead Low-Carbon Economical Dispatch of Integrated Energy System with CSP and ORC Based on Improved Imperialist Competitive Algorithm

  • Nenghan Zhang
  • , Xiyan Jian
  • , Yibo Ding
  • , Yufeng Wang
  • , Lei Chen
  • Xi'an Jiaotong University

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

In this paper an improved imperialist competitive algorithm(ICA) is used for day-ahead low-carbon economic dispatch of the integrated energy system(IES) with CSP and ORC. In order to enhance the utilization efficiency of different types of energy in IES, this paper introduces a concentrating solar power(CSP) plant to act as a power unit and an organic Rankine cycle(ORC) plant to decouple thermoelectric coupling. Combined with the facilities like the gas turbines(GT), power to gas(P2G), photovoltaic power(PV), etc. in IES, a day-ahead low-carbon economical dispatch model of IES is proposed to minimize the system cost. In the paper, the system cost is optimized by using the improved ICA. The analysis of the results of the example verifies that the proposed model is reliable and effective.

Original languageEnglish
Article number012004
JournalIOP Conference Series: Earth and Environmental Science
Volume814
Issue number1
DOIs
StatePublished - 13 Jul 2021
Event2021 5th International Conference on Sustainable Energy Engineering, ICSEE 2021 - Singapore, Virtual, Singapore
Duration: 3 Feb 20215 Feb 2021

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

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