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Economic and Resilience Benefit Analysis of Incorporating Battery Storage to Photovoltaic Array Generation
摘要： Power systems with photovoltaic (PV) arrays combined with battery backup storage are becoming increasingly used because of their capability of working in power island mode, especially during grid outages. The problem is to decide the optimal battery sizes for PV + battery systems with given solar array sizes, from both power supply reliability and economical perspectives. An optimization method based on the simulation of system operation during grid interruption is developed to investigate the effects of battery size on system output reliability level of meeting load demand with minimum cost. Case studies are conducted for validation according to actual solar irradiation data, load profiles and realistic power interruption statistics. Sensitivity analysis is also performed to explore how system total cost affects islanding capability of a PV + battery system to supply energy to facilities. The finding shows that the decline of battery price not only reduces the lowest system total cost but also improves islanded system generation reliability. The proposed methodology for optimizing battery capacity added to PV array systems can make them grid-outage resilient and economically viable, which can be utilized as a decision-making tool for future PV + battery system expansion.
关键词： Resilient power systems,Resilience,Photovoltaic power island system,Battery backup systems,System design optimization,Solar power storage
更新于2025-09-10 09:29:36
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[IEEE 2018 Power Systems Computation Conference (PSCC) - Dublin, Ireland (2018.6.11-2018.6.15)] 2018 Power Systems Computation Conference (PSCC) - Optimal Management of Storage for Offsetting Solar Power Uncertainty Using Multistage Stochastic Programming
摘要： Africa has recently engaged in implementing an aggressive renewable energy integration plan. A major challenge in the deployment of renewable power is the management of excess energy. The use of battery storage has been considered as a technically attractive solution. This paper tackles this operational problem using stochastic dual dynamical programming. We present an open-source MATLAB toolbox for multistage stochastic programming which employs stochastic dual dynamic programming. We use the toolbox in order to compare the stochastic solution to a greedy policy which operates batteries without future foresight as a benchmark. We consider a case study of storage management in Burkina Faso. We quantify the benefits of the stochastic solution and test the sensitivity of our results to the optimization horizon of the stochastic program.
关键词： solar power,storage,Dynamic programming
更新于2025-09-09 09:28:46