| 用于提高风电场运行效益的电池储能配置优化模型 |
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| 引用本文： | 徐国栋,程浩忠,方斯顿,马则良,张建平,朱忠烈.用于提高风电场运行效益的电池储能配置优化模型[J].电力系统自动化,2016,40(5):62-70. |
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| 作者姓名： | 徐国栋 程浩忠 方斯顿 马则良 张建平 朱忠烈 |
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| 作者单位： | 上海交通大学电子信息与电气工程学院, 上海市 200240,上海交通大学电子信息与电气工程学院, 上海市 200240,上海交通大学电子信息与电气工程学院, 上海市 200240,国家电网公司华东分部, 上海市 200120,国家电网公司华东分部, 上海市 200120,国家电网公司华东分部, 上海市 200120 |
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| 基金项目： | 国家重点基础研究发展计划(973计划)资助项目(2014CB23903);国家自然科学基金资助项目(51337005) |
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| 摘 要： | 为风电场配置电池储能系统(BESS)可以有效提高风电接纳能力,增加风电场运行效益。首先,提出一种考虑网架结构的BESS配置双层优化模型。外层模型计及系统安全约束,以风储联合系统相较风电场单独运行的效益增加量最大化为目标,确定BESS最优配置节点、功率、容量;内层模型以风储联合运行效益最大化为目标,以发电机组、风电场、BESS出力为决策变量,考虑功率平衡、旋转备用以及储能系统功率、容量等约束。其次,提出基于改进帝国竞争算法(ICA)的数值优化算法求解该模型。最后,在改进IEEE 118节点系统中验证了所提模型的有效性。结果分析表明:该模型得到的BESS最佳配置方案可有效增加风电场运行效益,随着其投资成本降低或并网电价提高,风储联合运行效益增加量与弃风改善情况均呈增大趋势,且合理设定BESS初始荷电状态可以进一步提高风储联合运行效益;改进ICA相较ICA在保证收敛性的前提下可以有效提高计算速度。
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| 关 键 词： | 电池储能系统 网架结构 风电接纳能力 双层优化模型 改进帝国竞争算法 |
| 收稿时间： | 4/9/2015 12:00:00 AM |
| 修稿时间： | 2015/12/14 0:00:00 |
An Optimization Model of Battery Energy Storage System Configuration to Improve Benefits of Wind Farms |
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| XU Guodong,CHENG Haozhong,FANG Sidun,MA Zeliang,ZHANG Jianping and ZHU Zhonglie.An Optimization Model of Battery Energy Storage System Configuration to Improve Benefits of Wind Farms[J].Automation of Electric Power Systems,2016,40(5):62-70. |
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| Authors: | XU Guodong CHENG Haozhong FANG Sidun MA Zeliang ZHANG Jianping and ZHU Zhonglie |
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| Affiliation: | School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China,School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China,School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China,East China Branch of State Grid Corporation of China, Shanghai 200120, China,East China Branch of State Grid Corporation of China, Shanghai 200120, China and East China Branch of State Grid Corporation of China, Shanghai 200120, China |
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| Abstract: | More benefits can be earned for wind farms integrated with a battery energy storage system (BESS) by improving the acceptance of wind power. Firstly, this paper proposes a double optimization model for battery energy storage system considering grid structure. The optimal configuration node, power, capacity of BESS are determined with the aim of incremental benefits maximization for wind and storage joint system compared with wind farms only considering system security constraints in the outer planning model. The benefits maximization of wind and storage joint system is chosen as the objective function, and the output of generating units, wind farm, BESS as decision variables. In the constraints, power balance, spinning reserve, power and capacity of BESS are considered in the inner optimization model. A numerical optimization algorithm, which is based on an improved empirical competition algorithm is proposed to calculate the model. Finally, the validity of this model is verified in an improved IEEE 118-node system. Case results suggest that the best configuration of BESS can increase wind farm benefits, meanwhile both benefits increments and the improvement of abandoned wind show an increasing trend with reduction in investments or the increase in grid price. Furthermore, an appropriate initial capacity of BESS is able to improve the benefits of composite BESS and wind generation system. And on the premise of guaranteed convergence, the improved empirical competition algorithm can effectively increase the computing speed compared with the traditional one. This work is supported by National Basic Research Program of China (973 Program) (No. 2014CB23903) and National Natural Science Foundation of China (No. 51337005). |
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| Keywords: | battery energy storage system grid structure acceptance of wind power double optimization model improved empirical competition algorithm |
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