DOI:10.1007/s40565-016-0238-z |
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Stochastic coordinated operation of wind and battery energystorage system considering battery degradation |
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Page view: 0
Net amount: 1719 |
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Author:
Ying WANG
, Zhi ZHOU
, Audun BOTTERUD
, Kaifeng ZHANG
, Qia DING
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Author Affiliation:
1. Key Laboratory of Measurement and Control of CSE, School
of Automation, Southeast University, Nanjing 210096, China
2. Argonne National Laboratory, Lemont, IL 60439, USA
3. NARI Technology Co. Ltd., Nanjing 211106, China
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Foundation: |
National Natural
Science Foundation of China (No. 51477157), State Grid Corporation
of China (Research on Probabilistic Economic Dispatch and Security
Correction with Large-scale Renewable Energy Integration) and
China Scholarship Council, as well as the U.S. Department of Energy’s
Wind Power Program. |
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Abstract: |
Grid-scale battery energy storage systems
(BESSs) are promising to solve multiple problems for future
power systems. Due to the limited lifespan and high cost of
BESS, there is a cost-benefit trade-off between battery effort
and operational performance. Thus, we develop a battery
degradation model to accurately represent the battery
degradation and related cost during battery operation and
cycling. A linearization method is proposed to transform the
developed battery degradation model into the mixed integer
linear programming (MILP) optimization problems. The
battery degradation model is incorporated with a hybrid
deterministic/stochastic look-ahead rolling optimization
model of wind-BESS bidding and operation in the real-time
electricity market. Simulation results show that the developed
battery degradation model is able to effectively help to
extend the battery cycle life and make more profits for windBESS.
Moreover, the proposed rolling look-ahead operational
optimization strategy can utilize the updated wind
power forecast, thereby also increase the wind-BESS profit. |
Keywords: |
Wind power, Battery energy storage system
(BESS), Battery degradation, Stochastic programming,
Rolling optimization |
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Online Time:2016/10/28 |
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