Optimal Operation of Battery Storage for a Subscribed Capacity-Based Power Tariff Prosumer-A Norwegian Case Study

被引:24
作者
Berglund, Frida [1 ]
Zaferanlouei, Salman [1 ]
Korpas, Magnus [1 ]
Uhlen, Kjetil [1 ]
机构
[1] Norwegian Univ Sci & Technol, Dept Elect Power Engn, N-7491 Trondheim, Norway
关键词
battery energy storage systems; optimal scheduling; capacity-based power tariff; demand side flexibility; battery degradation; LITHIUM-ION BATTERIES; OPTIMIZATION; SYSTEM; DEGRADATION; IMPACT; COST;
D O I
10.3390/en12234450
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The cost of peak power for end-users subject to a demand charge may be substantial, expecting to increase further with the vast growth of power-demanding devices. In cases where load-shifting is not a viable option for cost reduction, battery storage systems used for peak shaving purposes are emerging as a promising solution. In this paper, the economic benefits of implementing battery storage into an existing grid-connected photovoltaic system for a medium-scale swimming facility is studied. The objective is to minimize the total cost of electricity for the facility, including the cost of energy and peak power demand, while ensuring the longevity of the battery. An optimization model based on multi-integer linear programming is built, and simulated using a one-year time horizon in GAMS and Matlab. The main results reveal that installing a battery storage system is economically attractive today, with net savings on the total system cost of 0.64% yearly. The cost of peak power is reduced by 13.9%, and the savings from peak shaving operation alone is enough to compensate for the yearly cost of the battery. Moreover, the battery ensures additional revenue by performing price arbitrage operations. When simulating the system for an assumed 2030 scenario, the battery is found to be more profitable with a yearly net savings of 4.15%.
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页数:24
相关论文
共 29 条
[1]  
Aas B., 2018, COMMUNICATION MAY
[2]  
Abdulla Khalid, 2017, 2017 IEEE Power & Energy Society General Meeting, DOI [10.1109/TSG.2016.2606490, 10.1109/PESGM.2017.8273930]
[3]  
Agder Energi, 2018, PLUSSK
[4]   Advanced mathematical methods of SOC and SOH estimation for lithium-ion batteries [J].
Andre, Dave ;
Appel, Christian ;
Soczka-Guth, Thomas ;
Sauer, Dirk Uwe .
JOURNAL OF POWER SOURCES, 2013, 224 :20-27
[5]  
Asker Municipality, 2018, FUTUREBUILT PROSJ HO
[6]  
Curry C., 2017, Bloomberg New Energy Finance, V5
[7]  
Dagdougui H, 2016, 2016 THE 4TH IEEE INTERNATIONAL CONFERENCE ON SMART ENERGY GRID ENGINEERING (SEGE), P308, DOI 10.1109/SEGE.2016.7589542
[8]   Optimisation of size and control of grid-connected storage under real time electricity pricing conditions [J].
Dufo-Lopez, Rodolfo .
APPLIED ENERGY, 2015, 140 :395-408
[9]  
Eller A., 2017, ENERGY STORAGE TREND
[10]  
EPEX SPOT, 2018, NEG PRIC