考虑损耗成本的电池储能电站建模及优化调度

发布时间：2018-05-24 00:56

  本文选题：电池储能电站 + 调度特性建模　； 参考：《电网技术》2017年05期

【摘要】：为提高风电并网效益,减少弃风,在电网中接入电池储能电站(battery energy storage power station,BESPS)。首先,建立了考虑损耗成本的BESPS调度特性模型,该损耗成本由BESPS投资成本与调度区间内的充放电循环次数估算;然后,在考虑风电可信容量的基础上构建了BESPS调度模型。某些情况下,系统很难全额消纳风电,因此,调度模型具有运行成本最小与风电接纳最大2个不同维度的优化目标。为求解此问题,基于隶属度函数将2个子优化目标模糊化,构建了基于最大满意度的单目标优化模型,并采用GAMS软件提供的CPLEX求解器对其进行求解。基于我国东北某实际省级电网的仿真实验说明:BESPS接入可显著提升系统风电接纳能力,且基于最大满意度的优化调度可给出更为合理的结果。
[Abstract]:In order to improve the efficiency of wind power grid and reduce the abandonment of wind, the battery energy storage power station is connected to the power grid. Firstly, the BESPS scheduling characteristic model considering loss cost is established, which is estimated by the BESPS investment cost and the charging and discharging cycles within the dispatching interval. Then, the BESPS scheduling model is constructed on the basis of considering the trusted capacity of wind power. In some cases, it is difficult for the system to absorb wind power in full. Therefore, the scheduling model has two different dimensions of minimum operating cost and maximum acceptance of wind power. In order to solve this problem, two suboptimization objectives are fuzzy based on membership function, and a single objective optimization model based on maximum satisfaction degree is constructed, and CPLEX solver provided by GAMS software is used to solve the problem. The simulation results based on a provincial power grid in Northeast China show that the system can significantly enhance the acceptance capacity of wind power by using the 7% BESPS connection, and the optimal scheduling based on the maximum satisfaction degree can give more reasonable results.
【作者单位】： 南通大学电气工程学院;河海大学能源与电气学院;
【基金】：国家自然科学基金项目(51407097,61673226) 江苏省博士后科研资助计划(1601117C) 江苏省高校自然科学基金项目(15KJB470013,16KJB470014)~~
【分类号】：TM73
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本文编号：1927067