Optimal Scheduling of New Energy Integration Considering Different Demand Response Groups

ZHANG Qingqing,WU Qian,LI Shengwei,BAI Xingzhen

Electric Power Construction ›› 2018, Vol. 39 ›› Issue (7) : 107-114.

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Electric Power Construction ›› 2018, Vol. 39 ›› Issue (7) : 107-114. DOI: 10.3969/j.issn.1000-7229.2018.07.013

Optimal Scheduling of New Energy Integration Considering Different Demand Response Groups

  • ZHANG Qingqing,WU Qian,LI Shengwei,BAI Xingzhen
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Abstract

In order to improve the anti-peak-shaving characteristic of new energy, a demand response(DR) model for different users is proposed. At the same time, two controlled units of energy storage system (ESS) and microgrid are modeled, and they are coordinated with new energy output to promote the integration of large-scale new energy. Considering the user's participation degree of DR project, the user satisfaction function is designed as a constraint. In addition, peak-to-valley ratio and new energy consumption rate are taken as the evaluation indexes. A optimization scheduling model considering the minimum cost of power system, the least pollutant emissions and the most stable output of units is established. The YALMIP toolbox and CPLEX program are used to solve the model. Simulation results show that the proposed model can effectively improve the consumption level of new energy and reduce the pollutant emissions and peak-to-valley ratio, thus the security and stability of the system may be improved.

Key words

demand response(DR) / direct load control / transferable load / energy storage system(ESS) / microgrid / new energy consumption

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ZHANG Qingqing,WU Qian,LI Shengwei,BAI Xingzhen. Optimal Scheduling of New Energy Integration Considering Different Demand Response Groups[J]. Electric Power Construction. 2018, 39(7): 107-114 https://doi.org/10.3969/j.issn.1000-7229.2018.07.013

References

[1]舒印彪, 张智刚, 郭剑波, 等. 新能源消纳关键因素分析及解决措施研究[J]. 中国电机工程学报, 2017, 37(1):1-8.
SHU Yinbiao, ZHANG Zhigang, GUO Jianbo, et al. Study on key factors and solution of renewable energy accommodation[J]. Proceedings of the CSEE, 2017, 37(1): 1-8.
[2]鲁宗相, 李海波, 乔颖. 含高比例可再生能源电力系统灵活性规划及挑战[J]. 电力系统自动化, 2016, 40(13): 147-158.
LU Zongxiang, LI Haibo, QIAO Ying. Power system flexiblity planning and challenges considering high proportion of renewable energy[J]. Automation of Electric Power Systems, 2016, 40(13): 147-158.
[3]曾博, 杨雍琦, 段金辉, 等. 新能源电力系统中需求侧响应关键问题及未来展望[J]. 电力系统自动化, 2015, 39(17): 10-18.
ZENG Bo, YANG Yongqi, DUAN Jinhui, et al. Key issues and research prospects for demand-side response in altemate electrical power systems with renewable energy source[J]. Automation of Electric Power Systems, 2015, 39(17):10-18.
[4]FINN P, FITZPATRICK C. Demand side management of industrial electricity consumption: promoting the use of renewable energy through real-time pricing[J]. Applied Energy, 2014, 113: 11-21.
[5]STADLER I, BUKVIC-SCHAFER A S. Demand side management as a solution for the balancing problem of distributed generation with high penetration of renewable energy sources[J]. International Journal of Sustainable Energy, 2003, 23(4): 157-167.
[6]丁楠. 基于源网荷协同的高渗透率风电并网系统优化运行研究[D]. 南京: 东南大学, 2015.
DING Nan. Research on optimal operation of system connected with high penetration of wind power based on source-grid-load collaboration[D]. Nanjing: Southeast University, 2015.
[7]宋艺航, 谭忠富, 李欢欢, 等. 促进风电消纳的发电侧、储能及需求侧联合优化模型[J]. 电网技术, 2014, 38(3): 610-615.
SONG Yihang, TAN Zhongfu, LI Huanhuan, et al. An optimization model combining generation side and energy storage system with demand side to promote accommodation of wind power[J]. Power System Technology, 2014, 38(3): 610-615.
[8]曾鸣, 杨雍琦, 向红伟, 等. 兼容需求侧资源的“源-网-荷-储”协调优化调度模型[J]. 电力自动化设备, 2016, 36(2): 102-111.
ZENG Ming, YANG Yongqi, XIANG Hongwei, et al. Optimal dispatch model based on coordination between “generation-grid-load-energy storage” and demand-side resource[J]. Electric Power Automation Equipment, 2016, 36(2): 102-111.
[9]牛林华, 龚庆武, 黄炳翔, 等. 大规模风电入网下的风气火电系统联合优化调度[J]. 电力自动化设备, 2015, 35(11): 52-58.
NIU Linhua, GONG Qingwu, HUANG Bingxiang, et al. Optimal dispatch of wind-gas-coal power generation system with large-scale wind farm[J]. Electric Power Automation Equipment, 2015, 35(11): 52-58.
[10]谢鹏, 彭春华, 于蓉. 大规模间歇式电源接入电网多目标鲁棒优化调度[J]. 电网技术, 2014, 38(6): 1479-1484.
XIE Peng, PENG Chunhua, YU Rong. Multi-objective robust optimized scheduling of power grid connected with large-scale intermittent power sources[J]. Power System Technology, 2014, 38(6): 1479-1484.
[11]王珂, 姚建国, 姚良忠, 等. 电力柔性负荷调度研究综述[J]. 电力系统自动化, 2014, 38(20): 127-135.
WANG Ke, YAO Jianguo, YAO Liangzhong, et al. Survey of research on flexible loads scheduling technologies[J]. Automation of Electric Power Systems, 2014, 38(20): 127-135.
[12]张钦, 王锡凡, 别朝红, 等. 电力市场下直接负荷控制决策模型[J]. 电力系统自动化, 2010, 34(9): 23-28.
ZHANG Qin, WANG Xifan, BIE Zhaohong, et, al. A decision model of direct load control in electricity markets[J]. Automation of Electric Power Systems, 2010, 34(9): 23-28.
[13]HSU Y Y, SU C C. Dispatch of direct load control using dynamic programming[J]. IEEE Transactions on Power Systems, 1991, 6(3): 1056-1061.
[14]赵波, 包侃侃, 徐志成, 等. 考虑需求侧响应的光储并网型微电网优化配置[J]. 中国电机工程学报, 2015, 35(21): 5465-5474.
ZHAO Bo, BAO Kankan, XU Zhicheng, et al. Optimal sizing for grid-connected PV-and-storage microgrid considering demand response[J]. Proceedings of the CSEE, 2015, 35(21): 5465-5474.
[15]郑漳华, 艾芊. 微电网的研究现状及在我国的应用前景[J]. 电网技术, 2008, 32(16): 27-31, 58.
ZHENG Zhanghua, AI Qian. Present situation of research on microgrid and its application prospects in China[J]. Power System Technology, 2008, 32(16): 27-31, 58.
[16]朱兰, 周雪莹, 唐陇军, 等. 计及可中断负荷的微电网多目标优化运行[J]. 电网技术, 2017, 41(6): 1847-1854.
ZHU Lan, ZHOU Xueying, TANG Longjun, et al. Multi-objective optimal operation for microgrid considering interruptible loads[J]. Power System Technology, 2017, 41(6): 1847-1854.

Funding

This work is supported by State Grid Corporation of China Research Program(No.SGTYHT/16-JS-198).
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