路欣怡, 黄扬琪, 刘念, 雷金勇, 张建华. 含风光柴蓄的海岛独立微电网多目标优化调度方法[J]. 现代电力, 2014, 31(5): 43-48.
引用本文: 路欣怡, 黄扬琪, 刘念, 雷金勇, 张建华. 含风光柴蓄的海岛独立微电网多目标优化调度方法[J]. 现代电力, 2014, 31(5): 43-48.
LU Xinyi, HUANG Yangqi, LIU Nian, LEI Jinyong, ZHANG Jianhua. Multi-objective Optimization Scheduling Method for Islanded Micro-grid with PV,Wind Turbine, Diesel Generation and Storage Batteries[J]. Modern Electric Power, 2014, 31(5): 43-48.
Citation: LU Xinyi, HUANG Yangqi, LIU Nian, LEI Jinyong, ZHANG Jianhua. Multi-objective Optimization Scheduling Method for Islanded Micro-grid with PV,Wind Turbine, Diesel Generation and Storage Batteries[J]. Modern Electric Power, 2014, 31(5): 43-48.

含风光柴蓄的海岛独立微电网多目标优化调度方法

Multi-objective Optimization Scheduling Method for Islanded Micro-grid with PV,Wind Turbine, Diesel Generation and Storage Batteries

  • 摘要: 针对独立微电网运行中的优化调度问题展开研究。介绍了独立微电网的典型结构、组成单元功能;综合分析光伏和风力发电、柴油机发电及储能系统等多方面的运行特性,提出考虑柴油机发电费用和蓄电池循环电量的多目标优化调度数学模型;构造含蓄电池充放电功率及SOC范围、柴油机发电功率、系统功率平衡的约束条件;在此基础上,通过NSGA-II算法对多目标优化模型进行求解。结合具体算例,在不同日照和风力条件下,获得多组Pareto最优解集;从中选取典型调度方案,分析各组件功率,验证了模型的合理性。

     

    Abstract: The optimization scheduling optimization method for islanded micro-grid operation is studied in this paper. The typical structure of islanded micro-grid and function of each component are introduced. Based on the analysis of operational characteristics of PV, wind turbine generation and energy storage system, the mathematical model of the multi-objective optimization scheduling is proposed by considering diesel generation and energy circulation of energy storage system. Such constraints as the range of the charging/discharging power and SOC (state of charge) of the energy storage system, the value scale of power generated by diesel and the balance of system power are built. Then the multi-objective optimization model is solved by NSGA-II algorithm. For a test case under the situation of different solar radiations and wind levels, several Pareto solution sets are obtained, from which typical dispatching scheme is selected to verify the models rationality by analyzing power flow of each component.

     

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