Multi-Objective Optimization of Combined Cooling Heating and Power System Considering Photovoltaic-Wind-Gas-Power Collaborative Energy Supply

doi:10.11908/j.issn.0253-374x.21573

Home > Archive>Volume 51, Issue 6, 2023 >963-972. DOI:10.11908/j.issn.0253-374x.21573

Multi-Objective Optimization of Combined Cooling Heating and Power System Considering Photovoltaic-Wind-Gas-Power Collaborative Energy Supply
DOI:
                        10.11908/j.issn.0253-374x.21573
                    
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                        DAI YiruDAI Yiru
CIMS Research Center， Tongji University， Shanghai 201804， China
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WANG JianWANG Jian
CIMS Research Center， Tongji University， Shanghai 201804， China
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ZENG YipuZENG Yipu
CIMS Research Center， Tongji University， Shanghai 201804， China
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Affiliation:CIMS Research Center， Tongji University， Shanghai 201804， China
Clc Number:TK01;N945.15
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Abstract:

A kind of combined cooling heating and power （CCHP） system considering multi-energy collaborative supply consisting of photovoltaic power，wind power，natural gas， and grid power is developed in this paper. By using the independent CCHP system as the measurement benchmark， investment and operation cost， primary energy utilization， as well as carbon dioxide emission are incorporated to formulate multi- objective optimization function. For electrical， heating， and cooling loads on the three kinds of annual typical days such as winter， summer， and transitional seasons， the collaborative optimization study on device capacity sizing and operation strategy including FEL （following the electrical loads） and FTL （following the thermal loads） is conducted. Due to simultaneous existence of the continuous and combinatorial optimization， a bi-level optimization algorithm of multi-objective particle swarm is proposed. In addition， the orthogonal experimental analysis for the impact of critical system parameters on the optimal result is performed. The results show that compared with the independent CCHP system， the proposed CCHP system considering photovoltaic-wind-gas-power collaborative energy supply has a significantly better performance in economy， energy saving， and environmental protection.

Key words:photovoltaic power;wind power;combined cooling heating and power(CCHP);multi-objective particle swarm optimization;orthogonal experimental analysis

Reference

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DAI Yiru, WANG Jian, ZENG Yipu. Multi-Objective Optimization of Combined Cooling Heating and Power System Considering Photovoltaic-Wind-Gas-Power Collaborative Energy Supply[J].同济大学学报(自然科学版),2023,51(6):963~972

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Received:December 09,2021
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