Practical battery size optimization of a PV system by considering individual customer damage function

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• 作者：Mahmoud Mehrabankhomartash ; ^{mehraban_mahmoud@ee.sharif.edu" class="auth_mail" title="E-mail the corresponding author} ; ^{m.mehraban.kh@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Mohammad Rayati ^{m-rayati@ee.sharif.edu" class="auth_mail" title="E-mail the corresponding author} ; Aras Sheikhi ^{sheikhi@ee.sharif.edu" class="auth_mail" title="E-mail the corresponding author} ; Ali Mohammad Ranjbar ^{amranjbar@sharif.edu" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Photovoltaic (PV) system ; Individual customer damage function (ICDF) ; Battery sizing ; Financial evaluation
• 刊名：Renewable and Sustainable Energy Reviews
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：67
• 期：Complete
• 页码：36-50
• 全文大小：2440 K

文摘

Today, energy crises attracted many researchers’ attention to renewable energy technologies especially photovoltaic (PV) systems. The main challenge of PV systems is unpredictable nature of solar power generation. To overcome this challenge, a storage system is integrated which reduces demand reliance on electricity grid and uses excess energy that solar panels produce. As investment cost of the storage system is considerable, finding an optimal technology, size, and configuration are crucial. In this paper, the optimal battery system is excluded from existing PV plant installing in a commercial building located in Mashhad/Iran. Here, the sizing procedure is based on a financial evaluation which considers the damage costs due to outages that the commercial building is experiencing during the PV system life spam. To compare results, the battery size is also determined by stochastic methods, e.g. Monte-Carlo simulation method. The simulation results confirm the advantages of the proposed approach compare with classic ones.