引用本文: | 谷青发,王杰.基于非线性互补牛顿算法的电池储能系统平滑策略[J].电力自动化设备,2017,37(12): |
| GU Qingfa,WANG Jie.Smoothing strategy of battery energy storage system based on nonlinear complementary Newton method[J].Electric Power Automation Equipment,2017,37(12): |
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摘要: |
电池储能系统(BESS)平滑功率波动问题是一个高维度、多约束的非线性规划问题。为了更好地求解该问题,提出了一种基于非线性互补牛顿算法的BESS平滑策略。将储能系统平滑问题中的最优性条件转化为非线性方程组,进而将求解原问题转化为求解非线性方程组,并采用牛顿法进行求解。算例结果表明,该方法能够有效地追踪目标函数,从而平滑风功率波动,且具备连续平滑能力。 |
关键词: 电池储能系统 平滑功率波动 非线性互补 牛顿算法 模糊控制 风电 |
DOI:10.16081/j.issn.1006-6047.2017.12.012 |
分类号:TM911;TM73 |
基金项目:国家自然科学基金资助项目(61374155);高校博士点专项科研基金资助项目(20130073110030) |
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Smoothing strategy of battery energy storage system based on nonlinear complementary Newton method |
GU Qingfa, WANG Jie
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School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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Abstract: |
Smoothing power fluctuations using a battery energy storage system is a nonlinear programming problem with huge dimensions and multiple constraints. To obtain a more tractable optimal solution, a smoothing strategy of battery energy storage system based on nonlinear complementary Newton method is proposed, in which the optimality conditions of smoothing problem are transformed into nonlinear equations. As a result, the original problem is reformulated as a set of nonlinear equations, which can be solved by Newton method. The case results demonstrate that the proposed method is effective in smoothing wind power fluctuations and is capable of continuous smoothing. |
Key words: battery energy storage system smoothing power fluctuation nonlinear complementarity Newton method fuzzy control wind power |