面向能源互联网的未来配电网优化规划  

Optimization Planning of Future Distribution Network Orienting to Energy Internet

作　　者：张雪松[1] 周旋[2] 李卓[2] 周金辉[1] 徐琛[1] 陈冲[2] 李正天[2] 林湘宁[2] ZHANG Xuesong ZHOU Xuan LI Zhuo ZHOU Jinhui XU Chen CHEN Chong LI Zhengtianz LIN Xiangning(State Grid Zhejiang Electric Power Research Institute ,Hangzhou 310014, China State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074 ,China)

机构地区：[1]国网浙江省电力公司电力科学研究院,杭州市310014 [2]华中科技大学强电磁工程与新技术国家重点实验室,武汉市430074

出　　处：《电力建设》2017年第2期45-51,共7页Electric Power Construction

基　　金：国网浙江省电力公司科技项目(基于新能源发电及负荷用电预测的储能充放电优化控制技术)

摘　　要：能源互联网是未来全球能源行业的发展方向,其对电力系统的发展将产生深刻影响。文章分析了未来能源互联网场景下配电网的特殊需求,提出未来配电网将发展为承担多能转换与利用的新型配电网,并给出未来配电网的基本构架,分析其能量流动形态。在此基础上,构建考虑多能转换与存储设备成本构成及运行约束的配电网优化规划模型,在满足多能负荷需求的前提下对多能源接口设备与综合储能设备进行优化设计,并利用粒子群算法对该模型进行求解,仿真算例验证了所提模型的有效性,可为未来配电网的发展与规划提供必要参考。Energy internet is the trend of the future global energy industry, which will have a profound influence on the development of power system. This paper analyses the special requirement of future distribution network in the energy internet scenario, puts forward that the future distribution network will undertake the task of multi-energy conversion and utilization, and presents the basic framework of the future distribution network and its energy flow analysis. On this basis, the optimal planning model of distribution network was constructed with considering multi-energy conversion, storage device cost composition and operating constraints, the multi-energy interface equipments and integrated energy storage equipments were optimized and designed under the premise of meeting multi energy load demand. Then, the particle swarm algorithm （PSO） was used to solve the model, and the simulation examples verified the effectiveness of the proposed model, which can provide necessary reference for the development and planning of the future distribution network.

关 键 词：能源互联网 配电网规划 能源交换器 电转气(P2G) 冷热电联供(CCHP) 

分 类 号：TM72[电气工程—电力系统及自动化]