Stochastic optimal investment strategy for net-zero energy houses

作     者：Li, Mengmou Tanaka, Taichi Carnerero, A. Daniel Wasa, Yasuaki Hirata, Kenji Fujisaki, Yasumasa Ushifusa, Yoshiaki Hatanaka, Takeshi 

作者机构：Tokyo Inst Technol Sch Engn Dept Syst & Control Engn Tokyo Japan Waseda Univ Fac Sci & Engn Sch Adv Sci & Engn Dept Elect Engn & Biosci Tokyo Japan Univ Toyama Sch Engn Dept Elect & Elect Engn Toyama Japan Osaka Univ Grad Sch Informat Sci & Technol Dept Informat & Phys Sci Osaka Japan Univ Kitakyushu Fac Econ & Business Adm Fukuoka Japan Tokyo Inst Technol Sch Engn Dept Syst & Control Engn Tokyo 1528550 Japan 

出 版 物：《IET RENEWABLE POWER GENERATION》 (IET. Renew. Power Gener.)

年 卷 期：2024年第18卷第15期

页      面：2880-2891页

核心收录：

学科分类：0820[工学-石油与天然气工程] 0808[工学-电气工程] 08[工学] 

基　　金：Ministry of the Environment, Government of Japan JSPS KAKENHI [22H01513] Grants-in-Aid for Scientific Research [23K22783] Funding Source: KAKEN 

主　　题：battery storage plants game theory Monte Carlo methods optimisation Solar Photovoltaic Systems stochastic programming 

摘      要：In this research, Net-Zero Energy Houses (ZEHs) is investigated that harness regionally produced electricity from photovoltaic (PV) panels and fuel cells, integrating them into a local power system in pursuit of achieving carbon neutrality. This article examines the impact of electricity sharing among users who are working towards attaining ZEH status through the integration of PV panels and battery storage devices. Two potential scenarios are proposed: the first assumes that all users individually invest in storage devices, hence minimizing their costs on a local level without energy sharing;the second envisions cost minimization through the collective use of a shared storage device, managed by a central manager. These two scenarios are formulated as a stochastic convex optimization and a cooperative game, respectively. To tackle the stochastic challenges posed by multiple random variables, the Monte Carlo sample average approximation (SAA) is applied to obtain solvable deterministic convex problems. Last, to demonstrate the practical applicability of these models, the proposed scenarios are implemented in the Jono neighborhood in Kitakyushu, Japan. This research explores the integration of locally produced solar and fuel cell power into Net-Zero Energy Houses (ZEH), focusing on the implications of electricity sharing among users through the use of photovoltaic panels and battery storage. The study proposes two scenarios for cost minimization: individual investment in storage devices without energy sharing, and a collective approach using a shared storage device. Utilizing Monte Carlo sample average approximation to address the stochastic nature of the problem, the applicability of these models is demonstrated in the Jono neighborhood in Kitakyushu, Japan. image