楼宇能量管理系统的光伏消纳与储能调度研究

doi:10.3969/j.issn.1000-7229.2020.01.003

电力建设 ›› 2020, Vol. 41 ›› Issue (1): 23-31.doi: 10.3969/j.issn.1000-7229.2020.01.003

• 促进高比例新能源消纳的光伏发电功率与负荷预测 ·栏目主持王飞教授· • 上一篇下一篇

楼宇能量管理系统的光伏消纳与储能调度研究

蔡钦钦，杨晓华，朱永强

新能源电力系统国家重点实验室(华北电力大学)，北京市 102206

出版日期:2020-01-01
作者简介:蔡钦钦（1996），女，硕士研究生，主要研究方向为综合能源系统；杨晓华（1997），女，硕士研究生，主要研究方向为综合能源系统；朱永强（1975），男，博士，副教授，通信作者，主要研究方向为新能源发电与并网技术、综合能源系统、交直流混合微电网。
基金资助:
国家重点研发计划项目(2018YFB0904701)

Research on Photovoltaic Accommodation and Energy Storage Scheduling of Building Energy Management System

CAI Qinqin，YANG Xiaohua，ZHU Yongqiang

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China

Online:2020-01-01
Supported by:
This work is supported by the National Key Research and Development Program of China(No.2018YFB0904701).

摘要/Abstract

摘要： 随着分布式能源渗透率的不断提高，构建以楼宇为单位的能量管理系统成为用户侧能源消费结构变革的必然趋势。文章以含有光伏和储能装置的楼宇为对象，根据负荷特性将楼宇负荷分为可调度负荷和不可调度负荷，建立楼宇电费最低和光伏最大本地消纳模型，研究这2个模型在不同权重系数下的目标函数，采用改进离散二进制粒子群优化算法(discrete binary particle swarm optimization algorithm，DBPSO)优化可调度负荷的工作时间。在不同情形下进行仿真，验证了所提模型在光伏本地消纳和楼宇能量管理方面的有效性和经济性。

关键词: 楼宇能量管理系统, 光伏消纳, 储能调度, 离散二进制粒子群优化算法(DBPSO)

Abstract: With the continuous improvement of distributed energy penetration rate, establishing a building-based energy management system has become an inevitable trend in the transformation of user-side energy consumption structure. This paper takes building with photovoltaic power and energy storage as the object, divides the building load into un-schedulable and schedulable loads according to the load characteristics, and establishes the model of lowest building electricity cost and the largest local accommodation of PV power. With the goal of two models under different weight coefficients, the improved discrete binary particle swarm optimization algorithm (DBPSO) is used to optimize the working time of schedulable load. Simulations are carried out under different conditions to verify the effectiveness and economy of the proposed model in local PV accommodation and building energy management.

Key words: building energy management system, photovoltaic accommodation, energy storage scheduling, discrete binary particle swarm optimization algorithm（DBPSO）

中图分类号:

TM 73

蔡钦钦，杨晓华，朱永强. 楼宇能量管理系统的光伏消纳与储能调度研究[J]. 电力建设, 2020, 41(1): 23-31.

CAI Qinqin，YANG Xiaohua，ZHU Yongqiang. Research on Photovoltaic Accommodation and Energy Storage Scheduling of Building Energy Management System[J]. Electric Power Construction, 2020, 41(1): 23-31.

参考文献

［1］张彦, 张涛, 刘亚杰, 等. 基于模型预测控制的家庭能源局域网最优能量管理研究［J］. 中国电机工程学报, 2015, 35(14): 3656-3666.
ZHANG Yan, ZHANG Tao, LIU Yajie, et al. Optimal energy management of a residential local energy network based on model predictive control［J］. Proceedings of the CSEE, 2015, 35(14): 3656-3666.
［2］张延宇, 曾鹏, 臧传治. 智能电网环境下家庭能源管理系统优化调度算法［J］. 电力系统保护与控制, 2016, 44(2): 18-26.
ZHANG Yanyu, ZENG Peng, ZANG Chuanzhi. A scheduling algorithm for home energy management system in smart grid［J］. Power System Protection and Control, 2016, 44(2): 18-26.
［3］丁继为. 楼宇柔性负荷建模及其调峰组合优化策略研究［D］. 南京: 东南大学, 2016.
DING Jiwei. Research on flexible building load modeling and combinatorial optimized peaking strategies［D］. Nanjing: Southeast University, 2016.
［4］王守相, 孙智卿, 刘喆. 面向智能用电的家庭能量协同调度策略［J］. 电力系统自动化, 2015, 39(17): 108-113.
WANG Shouxiang, SUN Zhiqing, LIU Zhe. Co-scheduling strategy of home energy for smart power utilization［J］. Automation of Electric Power System, 2015, 39(17): 108-113.
［5］张华一. 社区和家庭能源中心运行优化策略［D］. 杭州: 浙江大学, 2017.
ZHANG Huayi. Operation optimization strategies of residential quarter energy hubs and home energy hubs［D］. Hangzhou: Zhejiang University, 2017.
［6］孔维辉. 基于实时电价的家居型微电网能量优化调度研究及实现［D］. 长沙: 湖南大学, 2017.
KONG Weihui. Research and realization of energy optimized scheduling for residential micro-grid based on real-time pricing［D］. Changsha: Hunan University, 2017.
［7］ARUN S, SELVAN M P. Intelligent residential energy management system for dynamic demand response in smart buildings［J］. IEEE Systems Journal, 2017, PP(99): 1-12.
［8］RAHMANI-ANDEBILI M, SHEN H Y. Price-controlled energy management of smart homes for maximizing profit of a GENCO［J］. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 49(4): 697-709.
［9］戴璐平, 吴薇, 黄蓓雯. 考虑不确定性的分布式家庭并网光伏系统鲁棒优化能量调度［J］. 电力系统保护与控制, 2019, 47(3): 48-55.
DAI Luping, WU Wei, HUANG Beiwen. Optimal energy scheduling for family grid-connected photovoltaic systems considering uncertainty［J］. Power System Protection and Control, 2019, 47(3): 48-55.
［10］HAN J, CHOI C, PARK W, et al. Smart home energy management system including renewable energy based on ZigBee and PLC［J］. IEEE Transactions on Consumer Electronics, 2014, 60(2): 198-202.
［11］陈云龙. 基于信息熵理论的光伏出力预测方法研究［D］. 广州: 广东工业大学, 2018.
CHEN Yunlong. Rsearch on PV power prediction based on theory of information entropy［D］. Guangzhou: Guangdong University of Technology, 2018.
［12］金森钧. 基于分布式发电和储能的家庭能量管理系统设计与优化调度算法研究［D］. 杭州: 浙江大学, 2017.
JIN Senjun. Research on design and optimal scheduling algorithm of home energy management system based on distributed generation and energy storage［D］. Hangzhou: Zhejiang University, 2017.
［13］MA W, WANG W, WU X Z, et al. Control strategy of a hybrid energy storage system to smooth photovoltaic power fluctuations considering photovoltaic output power curtailment［J］. Sustainability, 2019, 11(5): 1324.
［14］尹忠东, 林挚, 李德智, 等. 基于混合型粒子群算法的智能家庭能量管理策略［J］. 华北电力大学学报(自然科学版), 2018, 45(4): 25-33.
YIN Zhongdong, LIN Zhi, LI Dezhi, et al. Home energy management based on hybrid particle swarm optimization［J］. Journal of North China Electric Power University(Natural Science Edition), 2018, 45(4): 25-33.
［15］卢美玲, 张庚, 刘松, 等. 面向能源互联网的家庭光伏发电系统经济效益优化调度模型［J］. 电力系统及其自动化学报, 2016, 28(S1): 141-146.
LU Meiling, ZHANG Geng, LIU Song, et al. Energy Internet oriented optimization scheduling model of economic benefit for family photovoltaic systems［J］. Proceedings of the CSU-EPSA, 2016, 28(S1): 141-146.
［16］刘建涛, 曹雷, 马杰, 等. 基于储能系统的用户光伏并网发电系统经济性分析［J］. 太阳能学报, 2012, 33(11): 1887-1892.
LIU Jiantao, CAO Lei, MA Jie, et al. Economic analysis of users grid-connected pv system based on energy storage system［J］. Acta Energiae Solaris Sinica, 2012, 33(11): 1887-1892.

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楼宇能量管理系统的光伏消纳与储能调度研究

Research on Photovoltaic Accommodation and Energy Storage Scheduling of Building Energy Management System

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