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作 者:尹昆[1,2] 刘亚娟[1] 易国伟[1] 周鹏[1]
机构地区:[1]长沙理工大学,长沙市410004 [2]南方电网湛江供电公司,广东省湛江市524005
出 处:《电力建设》2015年第6期14-19,共6页Electric Power Construction
基 金:国家自然科学基金项目(71371065)~~
摘 要:储能系统具有快速吸收或释放电能的优点,能有效弥补可再生电源波动的缺点,被广泛用作旋转备用。该文建立了考虑储能系统的发电商最优供给双层优化模型,其中上层考虑的是柴油机组的利益,下层考虑的是能源服务提供商的利益。针对下层优化模型具有不光滑的特性,采用光滑化函数进行处理。为了求解模型,通过KKT条件(KarushKuhn-Tucker)将双层优化转化成一个单层优化问题,并采用非线性互补松弛条件把非线性约束转换为线性约束。最后,通过数值实验证明了该模型和算法的有效性。Energy storage system (ESS) has the advantages of fast absorption and release electricity, which can compensate for the shortcomings of renewable energy fluctuation. So, ESS has been widely used as a spinning reserve. This paper established a bi-level optimization model for the optimal supply of power producer with considering ESS, in which the upper level considered the interests of the diesel generation, and the lower level was to maximum the interests of energy services provider (ESP). According to the unsmooth characteristic of the lower-level optimization model, the method of smoothing processing was applied. In order to solve the model, the bi-level optimization was transformed into a single-level optimization by Karush-Kuhn-Tucker (KKT) conditions, and the nonlinear constraints were transformed into the linear constrains by using nonlinear complementary slackness conditions. Finally, numerical experiments show the effectiveness of the proposed model and algorithm.
关 键 词:储能系统 分布式电源 双层优化 最优供给函数 可中断负荷
分 类 号:TM73[电气工程—电力系统及自动化]
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