Energy dispatch schedule optimization and cost benefit analysis for grid-connected, photovoltaic-battery storage systems
Energy dispatch schedule optimization and cost benefit analysis for grid-connected, photovoltaic-battery storage systems
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DOI：
10.1016/j.renene.2012.12.036
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发表时间：
2013-07-01
期刊：
影响因子：
8.7
通讯作者：
Washom, B.
中科院分区：
文献类型：
--
作者：
Nottrott, A.;Kleissl, J.;Washom, B.
采用线性规划(LP)程序对光伏电池并网发电系统(PV+系统)中的最优储能调度计划进行建模，以实现最大净负荷管理和最小需求电量最小化。LP利用光伏功率输出和负载预测，以最大限度地减少受光伏+系统的基本动态和电气限制的峰值负载。电池充放电在两个PV+系统参数(电池存储容量和峰值负荷降低目标)的范围内进行模拟，以获得能量成本。电池存储系统的使用时间定价计划和净现值(NPV)。将我们优化的能源调度计划的财务效益与不使用任何预测信息的基本错峰充电/峰上放电和实时负荷响应调度策略进行了比较。与错峰/峰上调度和实时调度相比，当电池按优化调度运行时，电池阵列的净现值显著增加。这些趋势归因于电池寿命的延长和根据优化的调度策略实现的需求充电的减少。我们的结果表明，锂离子电池在需求侧、能源成本管理应用中可以成为一种经济上可行的能源存储解决方案，安装成本约为每千瓦时400-500美元(约为2011年市场价格的40%-50%)。计算了蓄能调度优化预测的财务价值作为电池容量比的函数。(C)2013爱思唯尔有限公司。保留所有权利。
A linear programming (LP) routine was implemented to model optimal energy storage dispatch schedules for peak net load management and demand charge minimization in a grid-connected, combined photovoltaic-battery storage system (PV+ system). The LP leverages PV power output and load forecasts to minimize peak loads subject to elementary dynamical and electrical constraints of the PV+ system. Battery charge/discharge were simulated over a range of two PV+ system parameters (battery storage capacity and peak load reduction target) to obtain energy cost for. a time-of-use pricing schedule and the net present value (NPV) of the battery storage system. The financial benefits of our optimized energy dispatch schedule were compared with basic off-peak charging/on-peak discharging and real-time load response dispatch strategies that did not use any forecast information. The NPV of the battery array increased significantly when the battery was operated on the optimized schedule compared to the off-peak/on-peak and real time dispatch schedules. These trends were attributed to increased battery lifetime and reduced demand charges attained under the optimized dispatch strategy. Our results show that Lithium-ion batteries can be a financially viable energy storage solution in demand side, energy cost management applications at an installed cost of about $400 $500 per kW h (approximately 40-50% of 2011 market prices). The financial value of forecasting in energy storage dispatch optimization was calculated as a function of battery capacity ratio. (C) 2013 Elsevier Ltd. All rights reserved.