论文标题
依赖温度的电池降解成本的农村微电网的预测控制
Predictive Control of Rural Microgrids with Temperature-dependent Battery Degradation Cost
论文作者
论文摘要
离网系统已成为农村电气化的可持续性和具有成本效益的解决方案。在萨拉汉非洲（SSA）中，已经安装或计划了大量太阳能杂交微电网，可独立或与弱网格绑定。间歇性能源的存在必须为系统平衡提供储能。这些农村微电网的可靠性和经济绩效在很大程度上取决于特定的控制策略。这项工作开发了一个预测性控制框架，该框架专门针对结合温度依赖电池降解模型的农村微电网。基于可扩展的DC PV电池微电网，现实的模拟显示了其在可靠性提高和成本降低方面的出色性能。与没有温度依赖的电池降解模型的日前控制相比，该控制策略可以将可靠性提高5.5％，并将铅酸电池寿命延长26％，相当于降低电位的电力成本（LCOE）13％。
Off-grid systems have emerged as a sustainable and cost-effective solution for rural electrification. In sub-Sarahan Africa (SSA), a great number of solar-hybrid microgrids have been installed or planned, operating stand-alone or grid-tied to a weak grid. Presence of intermittent energy sources necessitates the provision of energy storage for system balancing. Reliability and economic performance of those rural microgrids strongly depend on specific control strategies. This work develops a predictive control framework dedicated to rural microgrids incorporating a temperature-dependent battery degradation model. Based on a scalable DC PV-battery microgrid, the realistic simulation shows its superior performance in the reliability improvement and cost reduction. Compared with the day-ahead control without the temperature-dependent battery degradation model, this control strategy can improve the reliability by 5.5% and extend the lead-acid battery life time by 26%, equivalent to lowering the levelised cost of electricity (LCOE) by 13%.
