TY - JOUR
T1 - 考虑生物质废物分类处理的微能源网运行优化模型
AU - Teng, Yun
AU - Sun, Peng
AU - Hui, Qian
AU - Chen, Zhe
N1 - Funding Information:
(1. School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China; 2. Marketing Service Center of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110004, China; 3. Department of Energy Technology, Aalborg University, Aalborg DK-9220, Denmark) 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. This work is supported by National Key R&D Program of China (No. 2017YFB0902100). Key words: micro-energy network; biomass resource utilization; multi-energy storage; garbage classification; multi-objective optimization
Publisher Copyright:
© 2021 Automation of Electric Power Systems Press.
PY - 2021/8/10
Y1 - 2021/8/10
N2 - 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.
AB - 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.
KW - Biomass resource utilization
KW - Garbage classification
KW - Micro-energy network
KW - Multi-energy storage
KW - Multi-objective optimization
UR - http://www.scopus.com/inward/record.url?scp=85111990497&partnerID=8YFLogxK
U2 - 10.7500/AEPS20200726003
DO - 10.7500/AEPS20200726003
M3 - Tidsskriftartikel
AN - SCOPUS:85111990497
SN - 1000-1026
VL - 45
SP - 55
EP - 63
JO - Dianli Xitong Zidonghua/Automation of Electric Power Systems
JF - Dianli Xitong Zidonghua/Automation of Electric Power Systems
IS - 15
ER -