基于储能水平控制的微电网能量优化调度

发布时间：2018-09-07 19:59

【摘要】：为了充分发挥微电网中储能单元能量存储与搬移的作用,该文提出了以储能单元储能水平为微电网日前计划与实时计划之间联系纽带的多时间尺度能量优化调度方案,以及以储能水平为控制变量的日前计划优化模型。该优化模型以各可控型微电源出力、储能单元储能水平以及微网与主网交互功率均在限值之内和微网内功率平衡为约束条件,以可再生能源发电利用率最高、日供电成本最小为目标函数,通过满足"等效净负荷"需求达到可再生能源发电利用率最高的目标。采用基于矩阵实数编码的遗传算法求解该动态优化模型,算例验证了并网双向功率流动、并网单向功率流动2种模式下模型和方法的有效性。研究结果可为微电网能量优化调度决策方案提供参考。
[Abstract]:In order to give full play to the function of energy storage unit energy storage and transfer in microgrid, this paper proposes a multi-time scale energy optimal scheduling scheme based on the energy storage level of energy storage unit as the link between pre-day planning and real-time planning in microgrid. And the pre-day planning optimization model with energy storage level as the control variable. In this optimization model, the output of each controllable micro-power source, the energy storage level of the energy storage unit and the power balance between the microgrid and the main network are all within the limits and the power balance in the microgrid is the constraint condition, and the renewable energy generation efficiency is the highest. The minimum daily power supply cost is the objective function and the maximum utilization ratio of renewable energy generation is achieved by satisfying the demand of "equivalent net load". Genetic algorithm based on matrix real coding is used to solve the dynamic optimization model. Examples show the validity of the models and methods in the two modes of grid-connected bidirectional power flow and grid-connected unidirectional power flow. The results can be used as a reference for the decision scheme of energy optimal dispatching in microgrid.
【作者单位】：中国农业大学信息与电气工程学院;
【基金】：国家高技术研究发展计划(863计划)(2012AA050217)
【分类号】：TM73

【参考文献】