Optimal capacity determination method based on day-ahead scheduling and real-time control
DOI:10.7667/PSPC171752
Key Words:micro-grid  isolated mode  energy storage system  capacity determination  day-ahead scheduling  real-time control
Author NameAffiliationE-mail
FANG Lei Key Lab of Advanced Control and Optimization for Chemical Process, Ministry of Education, Shanghai 200237, China  
NIU Yugang Key Lab of Advanced Control and Optimization for Chemical Process, Ministry of Education, Shanghai 200237, China acniuyg@ecust.edu.cn 
WANG Siming Key Lab of Advanced Control and Optimization for Chemical Process, Ministry of Education, Shanghai 200237, China  
JIA Tinggang East China University of Science & Technology, Shanghai 200070, China  
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Abstract:Aiming at the problem of power balance between the renewable energy generation and the load in the isolated mode, starting from the real-time control operation requirements, this paper proposes a capacity configuration scheme for energy storage systems based on the daily energy scheduling management and real-time error control. Firstly, by dividing the energy storage system into a main energy storage system and an auxiliary energy storage system, a multi-objective optimization function which takes into account both the cost loss of the energy storage system and the gas turbine generator configuration is established. The required main energy storage configuration is obtained by using the improved particle swarm optimization and the convergence principle, and the previous energy management schedule is completed at the same time. Then, the scene simulation method is used to obtain the capacity configuration of the auxiliary energy storage system which is needed to complete the real-time operation, and the corresponding control strategy is formulated to complete the real-time energy management. Finally, through the numerical simulation, the feasibility of the configuration scheme proposed in this paper is verified. Under the condition of satisfying the economy and practicality, the configuration of the microgrid in the whole isolated network mode is completed. This work is supported the National Natural Science Foundation of China (No. 61673174) and Shanghai Excellent Academic/Technical Leader Plan (No. 16XD1421300).
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