Abstract:The high quality demand of power supply urges the continuous service development in power supply ensuring of users. The flexible and reliable power source technology is the key to satisfy the actual demand. This paper proposes an energy-storage battery optimal configuration model of mobile power source, namely UPS (uninterrupted power supply), in which economical efficiency, safe reliability of paralleling design, and mobility (weight index) are all taken into account as the design targets. The model considers the discreteness and restriction of battery capacity, as well as UPS inverted voltage variability within a reasonable range. The method of cloud adaptive particle swarm optimization including dimension mutation operator is used for optimal allocation scheme solution. The examples demonstrate the feasibility and effectiveness of the proposed model and method.
杜兆斌, 陈曾, 管霖, 席云华, 黄平, 黄耀鹏. 移动保供电电源储能电池优化配置[J]. 电工技术学报, 2015, 30(24): 215-221.
Du Zhaobin, Chen Zeng, Guan Lin, Xi Yunhua, Huang Ping, Huang Yaopeng. Energy-Storage Battery Optimal Configuration of Mobile Power Source for Power Supply Ensuring of Users. Transactions of China Electrotechnical Society, 2015, 30(24): 215-221.
[1] 贵州电网公司. 供电局保供电工作管理标准Q/GZW 21201—2010[S], 2011. [2] 供配电系统设计规范 GB 50052—2009[S]. 北京: 中国计划出版社, 2010. [3] 熊雯. 应急供电系统的设计与实现[D]. 成都: 电子科技大学, 2007. [4] 伏云发, 殷继彬. 智能化网络三相UPS系统中的交流旁路电源供电与逆变器电源供电切换装置的设计[J]. 电源世界, 2002(10): 19-21. Fu Yunfa, Yin Jibin. The design of switch circuit between bypass power supply and inverter power supply in intelligent network three phase UPS[J]. The World of Power Supply, 2002(10): 19-21. [5] 不间断电源设备(UPS), 第3部分:确定性能的方法和试验要求GB 7260.3—2003[S]. 2003. [6] 刘勇. UPS蓄电池的选择与维护[J]. 电源世界, 2010(6): 37-39. Liu Yong. Selection and maintenance of UPS battery[J]. The World of Power Supply, 2010(6): 37-39. [7] 杨斌文, 徐颖. UPS用蓄电池的选择与使用[J]. 机电设备, 2006, 23(2): 6-8. Yang Binwen, Xu Ying. Selection and usage of the accumulator with UPS[J]. Mechanical and Electrical Equipment, 2006, 23(2): 6-8. [8] 邓成博. 磁悬浮飞轮储能技术UPS及连续供电[J]. 电源世界, 2008(12): 31-34. Deng Chengbo. Maglev flywheel energy storage technology in UPS[J]. The World of Power Supply, 2008(12): 31-34. [9] 陈凤, 成彬, 王涛, 等. 磁悬浮飞轮储能设备在UPS系统中的应用研究[J]. 通信电源技术, 2012, 29(2): 1-4. Chen Feng, Cheng Bin, Wang Tao, et al. The application research on maglev flywheel energy storage technology in UPS system[J]. Telecom Power Technology, 2012, 29(2): 1-4. [10] 陈峻岭, 姜新建, 朱东起, 等. 基于飞轮储能技术的新型UPS的研究[J]. 清华大学学报(自然科学版), 2004, 44(10): 1321-1324. Chen Junling, Jiang Xinjian, Zhu Dongqi, et al. UPS using flywheel energy storage[J]. Journal of Tsinghua University (Science and Technology), 2004, 44(10): 1321-1324. [11] 薛金会. 基于超级电容储能的光伏发电系统研究[D]. 北京: 华北电力大学, 2008. [12] 佟明斯. 超级电容型动力UPS的储能技术研究[D]. 哈尔滨: 哈尔滨工业大学, 2011. [13] 张靖. 超级电容蓄电池复合电源的研究与仿真[D]. 武汉: 武汉理工大学, 2005. [14] 高志刚, 冬雷, 廖晓钟. 一种带储能功能的新型光伏并网逆变器研究[J]. 电网技术, 2012, 36(11): 36-40. Gao Zhigang, Dong Lei, Liao Xiaozhong. A novel grid-integrating inverter with energy storage capa- bility for PV generation system[J]. Power System Technology, 2012, 36(11): 36-40. [15] 侯世英, 房勇, 孙韬, 等. 混合储能系统在独立光伏发电系统功率平衡中的应用[J]. 电网技术, 2011, 35(5): 183-187. Hou Shiying, Fang Yong, Sun Tao, et al. Application of hybrid energy storage system in power balance of stand-alone photovoltaic power system[J]. Power System Technology, 2011, 35(5): 183-187. [16] 侯朝勇, 胡学浩, 惠东. 锂电池储能并网变换器的设计与实现[J]. 电网技术, 2012, 36(3): 246-251. Hou Chaoyong, Hu Xuehao, Hui Dong. Design and implementation of grid-connected converter for lithium battery energy storage system[J]. Power System Technology, 2012, 36(3): 246-251. [17] 黄平. 粒子群算法改进及其在电力系统的应用[D]. 广州: 华南理工大学, 2012. [18] 玄光南, 程润伟. 遗传算法与工程优化[M]. 于歆杰, 周根贵, 译. 北京: 清华大学出版社, 2006. [19] 王兆安, 刘进军. 电力电子技术[M]. 北京: 机械工业出版社, 2010. [20] Kennedy J, Eberhart R. Particle swarm optimi- zation[C]. Proceedings of IEEE International Con- ference on Neural Networks, Perth, Australia, 1995, 4: 1942-1948. [21] 袁晓辉, 王乘, 张勇传, 等. 粒子群优化算法在电力系统中的应用[J]. 电网技术, 2004, 28(19): 15-19. Yuan Xiaohui, Wang Cheng, Zhang Yongchuan, et al. A survey on application of particle swarm optimi- zation to electric power systems[J]. Power System Technology, 2004, 28(19): 15-19. [22] 金欣磊. 基于PSO的多目标优化算法研究及应用[D]. 杭州: 浙江大学, 2006. [23] 庄夏, 戴敏, 何元清. 基于改进粒子群优化LSSVM的飞机发动机故障诊断[J]. 实验技术与管理, 2013, 30(2): 54-57. Zhuang Xia, Dai Min, He Yuanqing. Fault diagnosis for aero-engine based on improved particle swarm algorism optimizing support vector machine[J]. Experimental Technology and Management, 2013, 30(2): 54-57. [24] 陈曾. 基于粒子群—内点混合算法的无功优化研究[D]. 广州: 华南理工大学, 2013. [25] 韦杏琼, 周永权, 黄华娟. 云自适应粒子群算法[J].计算机工程与应用, 2009, 45(1): 48-50. Wei Xingqiong, Zhou Yongquan, Huang Huajuan. Adaptive particle swarm optimization algorithm based on cloud theory[J]. Computer Engineering and Applications, 2009, 45(1): 48-50. [26] 付国江, 王少梅, 刘舒燕. 含维变异算子的粒子群算法[J]. 武汉大学学报, 2005, 38(4): 79-82. Fu Guojiang, Wang Shaomei, Liu Shuyan. A PSO with dimension mutation operator[J]. Engineering Journal of Wuhan University, 2005, 38(4): 79-82. [27] 杜兆斌, 邓桂萍, 席云华. 大型移动保供电电源储能元件选型分析[J]. 机电工程技术, 2013, 42(9): 47-50. Du Zhaobin, Deng Guiping, Xi Yunhua. Selection of energy-storage battery of mobile large-capacity power source for power supply ensuring of users[J]. Mechanical & Electrical Engineering Technology, 2013, 42(9): 47-50. [28] EAST PENN Manufacturing co. inc. http://www. dekabatteries.com. [29] Germany Sonnenlicht Industrial Group (China) Co., limited. http://www.sonnenlichtcn.com/.