An execution, monitoring and replanning approach for optimal energy management in microgrids
An execution, monitoring and replanning approach for optimal energy management in microgrids
复制标题
DOI：
10.1016/j.energy.2011.03.047
复制
发表时间：
2011-05
期刊：
影响因子：
--
通讯作者：
E. R. Sanseverino;M. L. D. Silvestre;M. Ippolito;Alessandra De Paola;G. Re
中科院分区：
文献类型：
--
作者：
E. R. Sanseverino;M. L. D. Silvestre;M. Ippolito;Alessandra De Paola;G. Re
这项工作为配电网“智能电网”的能量优化管理开辟了一条新途径。最优化旨在通过最大限度地减少碳排放、降低生产成本和最大限度地提高质量来提高可持续性。输入数据是可再生发电机组的预测负荷和发电量，输出数据是执行器的一组控制动作。所考虑的配电系统包括必须在24小时的时间间隔内考虑的存储单元，以考虑整个充放电周期。分布式(可再生能源和非)发电优化管理的目标是技术、经济和环境。因此，考虑到与天气条件和负荷分布相关的不确定性，需要在24小时的时间间隔内解决多目标优化问题。该方法的创新之处在于将发电机组的最优调度视为一个动态、不确定且不完全可观测的环境中的自动规划过程，可以说，它越来越接近实际情况。本文提出的系统是一个计划和执行调度器，它允许中央控制器监控调度计划的执行，中断监控以输入新的信息，并在每个时间间隔修复正在执行的计划。
This work develops a new approach for optimal energy management of electrical distribution ‘smart-grids’. Optimality aims at improving sustainability through the minimization of carbon emissions and at reducing production costs and maximizing quality. Input data are the forecasted loads and productions from renewable generation units, output data are a set of control actions for the actuators. The considered electrical distribution system includes storage units that must be considered over a 24 h time interval, to consider an entire charge and discharge cycle. The objectives for the optimal management of distributed (renewables and not) generation are technical, economical and environmental. It is thus required to solve a multi-objective optimization problem over a 24 h time interval considering theuncertaintyassociated to weather conditions and loads profiles. The novelty of the proposed approach resides in considering the optimal scheduling of generation units an automatic planning process in a dynamic, non-deterministic and not fully observable environment, as it is, getting closer to actual conditions. The system proposed here is a planning and execution scheduler which allows the central controller to monitor the execution of a scheduling plan, interrupt the monitoring to input new information and repair the plan under execution every time interval.