考虑生物质废物分类处理的微能源网运行优化模型

Translated title of the contribution: Optimal Operation Model of Micro-energy Network Considering Classification and Disposal of Biomass Waste

Yun Teng, Peng Sun, Qian Hui, Zhe Chen

Research output: Contribution to journalJournal articleResearchpeer-review

12 Citations (Scopus)

Abstract

In view of the ever-increasing requirements for the micro-energy network autonomy and multiple operation modes in the background of zero-waste city and Energy Internet, an optimized model for the micro-energy network of electricity, heat, hydrogen and gas is established which contains the biomass waste disposal facilities. Firstly, different biomass waste classification and disposal methods are analyzed. The pyrolysis gasification power generation model is established for the residual waste, and the gas production model by fermentation is established for the food waste and manure. Secondly, a multi-objective operation optimization model is established with the objective of the lowest operation cost and the maximum ecological benefits of the micro-energy network. Taking into account the uncertainty of the multi-energy source and load of the micro-energy network and the uncertainty of the waste generation, a robust multi-objective optimization algorithm for the micro-energy network is proposed. Case studies verify that the proposed optimized operation model of the micro-energy network considering the energy supply of the biomass waste disposal equipment can improve the operation economy of the micro-energy network, while improving the urban waste disposal capacity and realizing the effective integration of the energy consumption and environmental governance.

Translated title of the contributionOptimal Operation Model of Micro-energy Network Considering Classification and Disposal of Biomass Waste
Original languageChinese (Traditional)
JournalDianli Xitong Zidonghua/Automation of Electric Power Systems
Volume45
Issue number15
Pages (from-to)55-63
Number of pages9
ISSN1000-1026
DOIs
Publication statusPublished - 10 Aug 2021

Bibliographical note

Publisher Copyright:
© 2021 Automation of Electric Power Systems Press.

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