Optimal operation and revamping of a battery storage integrated with photovoltaic in renewable energy communities: A dynamic programming approach

IF 5.6 2区工程技术 Q2 ENERGY & FUELS

Sustainable Energy Grids & Networks Pub Date : 2025-09-15 DOI:10.1016/j.segan.2025.101976

Asja Alic , Alessandra Spada , Silvia Zordan , Antonio De Paola , Vincenzo Trovato

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Abstract

This paper presents a novel Dynamic Programming algorithm designed to optimize the operation of an Integrated-Photovoltaic Battery Storage System arbitraging in the Wholesale Energy Market and participating in the Capacity Market. The optimization takes into account the energy capacity degradation of the battery and envisages the possibility of revamping actions to replace battery cells and ensure delivery of the discharge capacity contracted in the Capacity Market over the whole optimization horizon. The correctness of the proposed model is validated against an existing Mixed-Integer Linear Programming solution. The model is then further extended to simulate the operation of the Integrated Photovoltaic Battery System within a Renewable Energy Community, offering useful insights about the techno-economic advantages of fostering the local self-consumption. A comprehensive set of case studies has been conducted over a 10-years planning horizon with hourly granularity, considering the Italian energy markets and the applicable regulatory framework. Additional sensitivity studies expand the results by assessing the impact of different input parameters, geographical locations and number of participating members of the Renewable Energy Community.

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可再生能源社区光伏电池储能系统的优化运行与改造：一种动态规划方法

本文提出了一种新的动态规划算法，用于优化集成光伏电池储能系统在能源批发市场套利和参与容量市场的运行。优化考虑了电池的能量容量退化，并设想了更换电池的改造行动的可能性，并确保在整个优化范围内容量市场中约定的放电容量的交付。通过现有的混合整数线性规划方案验证了所提模型的正确性。然后，将模型进一步扩展到模拟可再生能源社区内集成光伏电池系统的运行，为促进本地自用的技术经济优势提供有用的见解。考虑到意大利能源市场和适用的监管框架，在10年的规划期内进行了一套全面的案例研究，以每小时为粒度。其他敏感性研究通过评估不同输入参数、地理位置和可再生能源社区参与成员数量的影响来扩展结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology

CiteScore

7.90

自引率

13.00%

发文量

206

审稿时长

49 days

期刊介绍： Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.