含风光储能源-储-荷规划与运行调控策略
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摘要
源-荷随机波动性及储能电池并网容量是影响分布式电源渗透率的主要原因。综合考虑稳定性、经济性及环保性因素,建立源-储-荷多目标优化模型。利用概率潮流模拟风光出力的不确定性,并采用基于拉丁超立方采样的蒙特卡罗方法进行计算。针对该模型的多目标多约束求解问题,采用改进花授粉算法进行优化。通过引入授粉加速度因子及遗传自适应因子改善其搜索效率及寻优能力。通过仿真得到源-储-荷多目标优化规划与运行调控策略,根据优化结果建立电压累计评价指标。结果验证了多目标数学模型及所提方法的正确性及可行性。
The permeability of distributed generations is mainly affected by source-load random volatility and grid-connected capacity of energy storage battery. A multi-objective optimal model which considers the technology,economy and environmental protection of source-storage-load is established. Probabilistic power flow is used to simulate the uncertainty of wind force, and the Monte Carlo method based on Latin hypercube sampling is used to calculate the uncertainty. In order to solve the multi-objective and multi-constraint problem of the model, the improved flower pollination algorithm is adopted to optimize the model. The efficiency and the ability of searching for optimization are improved by introducing the pollination acceleration factor and genetic adaptive factor. The multi-objective optimal planning and operation regulation strategy of source-storage-load is obtained by simulation. The accumulative evaluation index of voltage is established according to the optimal result. The results show that the multi-objective mathematical model and the proposed method are correct and feasible.
The permeability of distributed generations is mainly affected by source-load random volatility and grid-connected capacity of energy storage battery. A multi-objective optimal model which considers the technology,economy and environmental protection of source-storage-load is established. Probabilistic power flow is used to simulate the uncertainty of wind force, and the Monte Carlo method based on Latin hypercube sampling is used to calculate the uncertainty. In order to solve the multi-objective and multi-constraint problem of the model, the improved flower pollination algorithm is adopted to optimize the model. The efficiency and the ability of searching for optimization are improved by introducing the pollination acceleration factor and genetic adaptive factor. The multi-objective optimal planning and operation regulation strategy of source-storage-load is obtained by simulation. The accumulative evaluation index of voltage is established according to the optimal result. The results show that the multi-objective mathematical model and the proposed method are correct and feasible.
引文
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[16]ZHANG Delong,LI Jianlin,HUI Dong.Coordinated control for voltage regulation of distribution network voltage regulation by distributed energy storage systems[J].Protection and Control of Modern Power Systems,2018,3(3):2-8.DOI:10.1186/s41601-018-0077-1.
[17]TRIFONOV T O.Coordination of battery energy storage and power-to-gas in distribution systems[J].Protection and Control of Modern Power Systems,2017,38(2):2-8.DOI:10.1186/s41601-017-0072-y.
[18]张谦,廖清芬,唐飞,等.计及分布式电源接入的配电网静态电压稳定性评估方法[J].电力系统自动化,2015,39(15):42-48.ZHANG Qian,LIAO Qingfen,TANG Fei,et al.Steady state voltage stability assessment method of distribution network considering inter-connection of distributed generators[J].Automation of Electric Power Systems,2015,39(15):42-48.
[19]KABIR M N,MISHRA Y,BANSAL R C.Probabilistic load flow for distribution systems with uncertain PVgeneration[J].Applied Energy,2016,163:343-351.
[20]REDDY P D P,REDDY V C V,MANOHAR T G.Application of flower pollination algorithm for optimal placement and sizing of distributed generation in Distribution systems[J].Journal of Electrical Systems and Information Technology,2016,3:14-22.
[2]HEMMATI R.Optimal design and operation of energy storage systems and generators in the network installed with wind turbines considering practical characteristics of storage units as design variable[J].Journal of Cleaner Production,2018,158:680-693.
[3]李秀磊,耿光飞,季玉琦,等.考虑实际运行的配电网电池储能系统的优化配置研究[J].电力系统保护与控制,2017,45(9):88-94.LI Xiulei,GENG Guangfei,JI Yuqi,et al.Study on optimal allocation of battery energy storage in distribution network considering the actual operation[J].Power System Protection and Control,2017,45(9):88-94.
[4]杨玉青,牛利勇,田立亭,等.考虑负荷优化控制的区域配电网储能配置[J].电网技术,2015,39(4):1019-1025.YANG Yuqing,NIU Liyong,TIAN Liting,et al.Configuration of energy storage devices in regional distribution network considering optimal load control[J].Power System Technology,2015,39(4):1019-1025.
[5]尤毅,刘东,钟清,等.主动配电网储能系统的多目标优化配置[J].电力系统自动化,2014,38(18):46-52.YOU Yi,LIU Dong,ZHONG Qing,et al.Multi-objective optimal placement of energy storage systems in an active distribution network[J].Automation of Electric Power Systems,2014,38(18):46-52.
[6]刘文霞,牛淑娅,石道桂,等.考虑运行策略及投资主体利益的主动配电系统储能优化配置[J].电网技术,2015,39(10):2697-2704.LIU Wenxia,NIU Shuya,SHI Daogui,et al.Optimal allocation of ADS battery energy storage considering operation strategy and investment subject benefit[J].Power System Technology,2015,39(10):2697-2704.
[7]许喆,潘金生,樊淑娴,等.基于改进萤火虫算法的含DG配电网重构方法[J].电力系统保护与控制,2018,46(14):26-32.XU Zhe,PAN Jinsheng,FAN Shuxian,et al.A distribution network reconfiguration method with distributed generation based on improved firefly algorithm[J].Power System Protection and Control,2018,46(14):26-32.
[8]张忠会,胡国宝,李瑞欣.考虑电动汽车接入的分布式电源出力优化[J].电力系统保护与控制,2018,46(6):120-127.ZHANG Zhonghui,HU Guobao,LI Ruixin.Optimization of distributed generation output in electric vehicles integrating into distribution network[J].Power System Protection and Control,2018,46(6):120-127.
[9]符杨,廖剑波,李振坤,等.考虑越限风险的主动配电网日前优化调度及运行[J].中国电机工程学报,2017,37(21):6328-6338.FU Yang,LIAO Jianbo,LI Zhenkun,et al.Day-ahead optimal scheduling and operating of active distribution network considering violation risk[J].Proceedings of the CSEE,2017,37(21):6328-6338.
[10]沙熠,邱晓燕,宁雪娇,等.协调储能与柔性负荷的主动配电网多目标优化调度[J].电网技术,2016,40(5):1394-1399.SHA Yi,QIU Xiaoyan,NING Xuejiao,et al.Multi-objective optimization of active distribution network by coordinating energy storage system and flexible load[J].Power System Technology,2016,40(5):1394-1399.
[11]贾清泉,赵美超,孙玲玲,等.主动配电网中计及时序性与相关性的分布式光伏并网规划[J].中国电机工程学报,2018,38(6):1719-1728.JIA Qingquan,ZHAO Meichao,SUN Lingling,et al.Planning for grid-connection of distributed PVs considering the sequential feature and correlation in active distribution network[J].Proceedings of the CSEE,2018,38(6):1719-1728.
[12]段贵钟,秦文萍,逯瑞鹏.考虑风电接入与负荷不确定性的静态电压稳定性分析[J].电力系统保护与控制,2018,46(12):108-114.DUAN Guizhong,QIN Wenping,LU Ruipeng.Static voltage stability analysis considering the wind power and uncertainty of load[J].Power System Protection and Control,2018,46(12):108-114.
[13]茆美琴,周松林,苏建徽.基于风光联合概率分布的微电网概率潮流预测[J].电工技术学报,2014,29(2):55-63.MAO Meiqin,ZHOU Songlin,SU Jianhui.Probabilistic power flow forecasting of microgrid based on joint probability distribution about wind and irradiance[J].Transactions of China Electrotechnical Society,2014,29(2):55-63.
[14]LI Jinghua,WANG Sai,YE Liu.A coordinated dispatch method with pumped-storage and battery-storage for compensating the variation of wind power[J].Protection and Control of Modern Power Systems,2018,2(3):2-14.DOI 10.1186/s41601-017-0074-9.
[15]CHENG Yu,ZHANG Chengwei.Configuration and operation combined optimization for EV battery swapping station considering PV consumption bundling[J].Protection and Control of Modern Power Systems,2018,26(2):2-18.DOI:10.1186/s41601-017-0056-y.
[16]ZHANG Delong,LI Jianlin,HUI Dong.Coordinated control for voltage regulation of distribution network voltage regulation by distributed energy storage systems[J].Protection and Control of Modern Power Systems,2018,3(3):2-8.DOI:10.1186/s41601-018-0077-1.
[17]TRIFONOV T O.Coordination of battery energy storage and power-to-gas in distribution systems[J].Protection and Control of Modern Power Systems,2017,38(2):2-8.DOI:10.1186/s41601-017-0072-y.
[18]张谦,廖清芬,唐飞,等.计及分布式电源接入的配电网静态电压稳定性评估方法[J].电力系统自动化,2015,39(15):42-48.ZHANG Qian,LIAO Qingfen,TANG Fei,et al.Steady state voltage stability assessment method of distribution network considering inter-connection of distributed generators[J].Automation of Electric Power Systems,2015,39(15):42-48.
[19]KABIR M N,MISHRA Y,BANSAL R C.Probabilistic load flow for distribution systems with uncertain PVgeneration[J].Applied Energy,2016,163:343-351.
[20]REDDY P D P,REDDY V C V,MANOHAR T G.Application of flower pollination algorithm for optimal placement and sizing of distributed generation in Distribution systems[J].Journal of Electrical Systems and Information Technology,2016,3:14-22.