Dynamic economic dispatching method of active distribution network based on multi-region full distribution algorithm
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摘要: 由于传统方法在进行主动配电网动态经济调度过程中，没有对目标函数内状态变量存在的越界情况进行处理，主动配电网电压超越上限，从而导致调度效果不佳，因此，提出基于多区域全分布算法的主动配电网动态经济调度方法。利用多区域全分布算法实施机会约束规划，根据规划结果，建立对应的多目标模型，通过罚函数形式对目标函数内状态变量存在的越界情况进行处理，避免主动配电网电压超越上限，使电压在上限之内。根据柴油机发电爬坡方面、线路传输方面、主网与区域配电网最大交互传输功率方面和储能单元方面，通过蒙特卡罗模拟方法对经济调度时的约束条件进行选取，改进传统粒子群算法，并利用改进结果对模型进行求解，从而实现动态性经济调度的目的。仿真实验结果表明，该方法的调度结果是有效、动态的，并且调度精度较高，调度时间较短，适用于主动配电网的光伏与风电等的调度，继续精进后有良好的应用前景。Abstract: In the process of dynamic economic dispatching of active distribution network, the traditional method does not deal with the out of bounds of state variables in the objective function, and the voltage of active distribution network exceeds the upper limit, resulting in poor dispatching effect. Therefore, a dynamic economic dispatching method of active distribution network based on multi-region full distribution algorithm is proposed. The multi-region full distribution algorithm is used to implement opportunity constrained programming. According to the planning results, the corresponding multi-objective model is established, and the out of bounds of state variables in the objective function are processed in the form of penalty function, so as to avoid the voltage of active distribution network exceeding the upper limit and keep the voltage within the upper limit. According to the aspects of diesel engine generation climbing, line transmission, maximum interactive transmission power between main network and regional distribution network and energy storage unit, the constraints in economic dispatching are selected by Monte Carlo simulation method, the traditional particle swarm optimization algorithm is improved, and the improved results are used to solve the model, so as to achieve the purpose of dynamic economic dispatching. The simulation results show that the scheduling results of this method are effective and dynamic, with high scheduling accuracy and short scheduling time. It is suitable for the scheduling of photovoltaic and wind power in active distribution network, and has a good application prospect after continuous improvement.
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[1] 易灵芝,李直.含微电网群的主动配电网双层联合优化调度[J].电力系统及其自动化学报,2020,32(4):42-50. YI Lingzhi,LI Zhi.Bi-level joint optimal dispatch of active distribution network with multi-microgrid[J].Proceedings of the CSU-EPSA,2020,32(4):42-50.
[2] 戴腾飞,茅靖峰,吴爱华,等.分布式光储直流微电网滑模自抗扰鲁棒运行控制[J].可再生能源,2022,40(11):1505-1514. DAI Tengfei,MAO Jingfeng,WU Aihua,et al.Sliding mode active disturbance rejection robust operation control for distributed photovoltaic and energy storage DC microgrid[J].Renewable Energy Resources,2022,40(11):1505-1514.
[3] 叶畅,苗世洪,李姚旺,等.基于改进不确定边界的主动配电网鲁棒优化调度[J].电工技术学报,2019,34(19):4084-4095. YE Chang,MIAO Shihong,LI Yaowang,et al.Robust optimal scheduling for active distribution network based on improved uncertain boundary[J].Transactions of China Electrotechnical Society,2019,34(19):4084-4095.
[4] 寇凌峰,吴鸣,李洋,等.主动配电网分布式有功无功优化调控方法[J].中国电机工程学报,2020,40(6):1856-1865. KOU Lingfeng,WU Ming,LI Yang,et al.Optimization and control method of distributed active and reactive power in active distribution network[J].Proceedings of the CSEE,2020,40(6):1856-1865.
[5] 杨欢红,唐芃芃,黄文焘.考虑用户满意度的基于需求侧管理的微电网多目标优化调度[J].电测与仪表,2023,60(6):110-116. YANG Huanhong,TANG Pengpeng,HUANG Wentao.Multi-objective optimal dispatch of microgrid based on demand side management considering user satisfaction[J].Electrical Measurement & Instrumentation,2023,60(6):110-116.
[6] 谢敏,柯少佳,胡昕彤,等.考虑风场高维相依性的电网动态经济调度优化算法[J].控制理论与应用,2019,36(3):353-362. XIE Min,KE Shaojia,HU Xintong,et al.Optimization algorithm of dynamic economic dispatching considering the high-dimensional correlation of multiple wind farms[J].Control Theory & Applications,2019,36(3):353-362.
[7] 巨云涛,张紫枫,刘文武,等.考虑限幅约束的多区域互联电网全分布式潮流算法[J].电力系统保护与控制,2022,50(7):58-68. JU Yuntao,ZHANG Zifeng,LIU Wenwu,et al.A fully distributed power flow algorithm for multi-region interconnected power grids considering limiting constraints[J].Power System Protection and Control,2022,50(7):58-68.
[8] 赵壮,张宏立,王聪.区域能源互联网的“源-网-荷-储”运行优化研究[J].可再生能源,2022,40(2):238-246. ZHAO Zhuang,ZHANG Hongli,WANG Cong.Research on optimization of"source-net-charge-storage"operation of regional energy internet[J].Renewable Energy Resources,2022,40(2):238-246.
[9] 王淇,刘继春,杨阳方.考虑主动管理措施的增量配电网网架规划[J].电测与仪表,2019,56(22):37-43. WANG Qi,LIU Jichun,YANG Yangfang.Framework planning of incremental distribution network considering active management[J].Electrical Measurement & Instrumentation,2019,56(22):37-43.
[10] 丁筱,郭创新.考虑市场环境的多微网分散协同调度方法[J].现代电力,2020,37(3):221-230. DING Xiao,GUO Chuangxin.Decentralized synergetic dispatching method for multi-microgrid under market environment[J].Modern Electric Power,2020,37(3):221-230.
[11] 葛乐,张伟,严锋,等.基于自适应模型预测控制的柔性互联配电网优化调度[J].电力自动化设备,2020,40(6):15-23. GE Le,ZHANG Wei,YAN Feng,et al.Optimal scheduling of flexible interconnected distribution network based on adaptive model predictive control[J].Electric Power Automation Equipment,2020,40(6):15-23.
[12] 王秀茹,刘刚,黄华峰,等.考虑分布式电源的配电网无功调度和储能优化方法[J].电力科学与技术学报,2022,37(4):134-142. WANG Xiuru,LIU Gang,HUANG Huafeng,et al.Reactive power dispatching and energy storage optimization for distribution network with distributed power resources[J].Journal of Electric Power Science and Technology,2022,37(4):134-142.
[13] 马临超,齐山成,刘毅,等.考虑分布式可再生能源的配电网电力调度优化模型研究[J].可再生能源,2022,40(5):703-710. MA Linchao,QI Shancheng,LIU Yi,et al.Research on distribution network power dispatching optimization model considering distributed renewable energy[J].Renewable Energy Resources,2022,40(5):703-710.
[14] 格日勒图,张立辉,柴剑雪.计及微电网群合作博弈的主动配电网能量优化调度二层规划模型[J].可再生能源,2020,38(2):205-211. GE Riletu,ZHANG Lihui,CHAI Jianxue.A bilevel programming model for energy dispatching optimization of active distribution networks considering microgrid group cooperation game[J].Renewable Energy Resources,2020,38(2):205-211.
[15] 赵毅,王维庆,闫斯哲.考虑阶梯型碳交易的风光储联合系统分布鲁棒优化调度[J].电力系统保护与控制,2023,51(6):127-136. ZHAO Yi,WANG Weiqing,YAN Sizhe.Distributionally robust optimization scheduling of a joint wind-solar-storage system considering step-type carbon trading[J].Power System Protection and Control,2023,51(6):127-136.
[16] 戴松灵,王晞,刘方,等.考虑综合承载力的主动配电网优化调度与运行[J].电力建设,2020,41(2):67-75. DAI Songling,WANG Xi,LIU Fang,et al.Optimal scheduling and operating of active distribution network considering comprehensive carrying capacity[J].Electric Power Construction,2020,41(2):67-75.
[17] 臧海祥,马铭欣,周亦洲,等.电力市场环境下风电-光热-生物质混合电站鲁棒优化调度模型[J].电力系统保护与控制,2022,50(5):1-11. ZANG Haixiang,MA Mingxin,ZHOU Yizhou,et al.Robust optimal scheduling model for a ‘wind power-concentrating solar power- biomass’ hybrid power plant in the electricity market[J].Power System Protection and Control,2022,50(5):1-11.
[18] 江叶峰,熊浩,胡宇,等.考虑电热综合需求响应的虚拟电厂优化调度[J].电力建设,2019,40(12):61-69. JIANG Yefeng,XIONG Hao,HU Yu,et al.Optimal dispatching of virtual power plants considering comprehensive demand response of electricity and heat loads[J].Electric Power Construction,2019,40(12):61-69.
[19] 袁欣,胡文博.考虑电动汽车有序充电的配电网重构降损策略[J].科学技术与工程,2019,19(34):213-220. YUAN Xin,HU Wenbo.Reconfiguration strategy of distribution network for loss reduction considering orderly charging of electric vehicles[J].Science Technology and Engineering,2019,19(34):213-220.
[20] 花洁.基于蒙特卡洛模拟的电网DICP系统可靠性评估方法[J].自动化技术与应用,2023,42(6):50-53. HUA Jie.Reliability evaluation method of power grid DICP system based on Monte Carlo simulation[J].Techniques of Automation and Applications,2023,42(6):50-53.
[21] 向东,陈松,季益俊,等.智能化含风电配电网多目标协同调度模型[J].电网与清洁能源,2022,38(7):127-133,140. XIANG Dong,CHEN Song,JI Yijun,et al.An intelligent multi-objective collaborative dispatching model for distribution networks containing wind power[J].Power System and Clean Energy,2022,38(7):127-133,140.
[22] 赵奇,吕洋,王毅,等.考虑微电网灵活调节潜力的主动配电网鲁棒优化[J].浙江电力,2022,41(1):55-63. ZHAO Qi,LYU Yang,WANG Yi,et al.Robust optimization of active distribution networks considering the flexible regulation potential ofmicrogrids[J].Zhejiang Electric Power,2022,41(1):55-63.
[23] 李咸善,马凯琳,程杉.含多区域综合能源系统的主动配电网双层博弈优化调度策略[J].电力系统保护与控制,2022,50(1):8-22. LI Xianshan,MA Kailin,CHENG Shan.Dispatching strategy of an active distribution network with multiple regional integrated energy systems based on two-level game optimization[J].Power System Protection and Control,2022,50(1):8-22.
[24] 朱一昕,王靖芸,毕恺韬,等.基于随机模型预测控制的数据中心微电网能量优化调度研究[J].智慧电力,2022,50(8):102-108. ZHU Yixin,WANG Jingyun,BI Kaitao,et al.Energy optimization dispatch of data center microgrid based on stochastic model predictive control[J].Smart Power,2022,50(8):102-108.
[25] 虎智峰,陈静,张婧菲,等.考虑新能源不确定性边界的主动配电网优化调度[J].智慧电力,2022,50(11):48-55. HU Zhifeng,CHEN Jing,ZHANG Jingfei,et al.Optimal dispatch of active distribution network considering uncertainty boundary of renewable power generation[J].Smart Power,2022,50(11):48-55.
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