Hybrid Energy Micro Grid Optimal Scheduling Considering Low-Carbon Benefits

JIN Xianlin,CAI Xiaoyu

Distributed Energy ›› 2017, Vol. 2 ›› Issue (3) : 26-32.

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Distributed Energy ›› 2017, Vol. 2 ›› Issue (3) : 26-32. DOI: 10.16513/j.cnki.10-1427/tk.2017.03.005
Basic Research

Hybrid Energy Micro Grid Optimal Scheduling Considering Low-Carbon Benefits

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[J]. Distributed Energy Resources. 2017, 2(3): 26-32 https://doi.org/10.16513/j.cnki.10-1427/tk.2017.03.005

References

[1]
吴雄王秀丽别朝红,等. 含热电联供系统的微网经济运行[J]. 电力自动化设备2013, 33(8): 1-6.
WU Xiong, WANG Xiuli, BIE Zhaohong,et al. Economic operation of micro grid with combined heat and power system[J]. Electric Power Automation Equipment, 2013, 33(8): 1-6.
[2]
王锐顾伟吴志. 含可再生能源的热电联供型微网经济运行优化[J]. 电力系统自动化2011, 35(8): 22-27.
WANG Rui, GU Wei, WU Zhi. Economic and optimal operation of a combined heat and power microgrid with renewable energy resources[J]. Automation of Electric Power Systems, 2011, 35(8): 22-27.
[3]
李锋赵玺灵付林. 燃气轮机热电联供系统性能评估案例[J]. 热能动力工程2010, 25(1): 34-38, 119-120.
LI Feng, ZHAO Xiling, FU Lin. Performance evaluation case of a gas turbine-based heat-and-power cogeneration system[J]. Journal of Engineering for Thermal Energy and Power201025(1): 34-38, 119-120.
[4]
丁宁吴军基邹云. 基于DSM的峰谷时段划分及分时电价研究[J]. 电力系统自动化2001, 25(23): 9-12, 16.
DING Ning, WU Junji, ZOU Yun. Research of peak and valley time period partition approach and tou price on DSM[J]. Automation of Electric Power Systems2001, 25(23): 9-12, 16.
[5]
马玲玲杨军付聪,等. 电动汽车充放电对电网影响研究综述[J]. 电力系统保护与控制2013, 41(3): 140-148.
MA Lingling, YANG Jun, FU Cong, et al. Review on impact of electric car charging and discharging on power grid[J]. Power System Protection and Control, 2013, 41(3): 140-148.
[6]
项顶宋永华胡泽春,等. 电动汽车参与V2G的最优峰谷电价研究[J]. 中国电机工程学报2013, 33(31): 15-25, 2.
XIANG Ding, SONG Yonghua, HU Zechun, et al. Research on optimal time of use price for electric vehicle participating V2G[J]. Proceedings of the CSEE, 2013, 33(31): 15-25, 2.
[7]
黄伟黄婷周欢,等. 基于改进微分进化算法的微电网动态经济优化调度[J]. 电力系统自动化2014, 38(9): 211-217.
HUANG Wei, HUANG Ting, ZHOU Huan, et al. Dynamic economical dispatch for microgrid based on improved differential evolution algorithm[J]. Automation of Electric Power Systems, 2014, 38(9): 211-217.
[8]
洪博文郭力王成山,等. 微电网多目标动态优化调度模型与方法[J]. 电力自动化设备2013, 33(3): 100-107.
HONG Bowen, GUO Li, WANG Chengshan, et al. Model and method of dynamic multi-objective optimal dispatch for microgrid[J]. Electric Power Automation Equipment, 2013, 33(3): 100-107.
[9]
杨毅雷霞叶涛,等. 考虑安全性与可靠性的微电网电能优化调度[J]. 中国电机工程学报2014, 34(19): 3080-3088.
YANG Yi, LEI Xia, YE Tao, et al. Microgrid energy optimal dispatch considering the security and reliability[J]. Proceeding of the CSEE, 2014, 34(19): 3080-3088.
[10]
顾伟吴志王锐. 考虑污染气体排放的热电联供型微电网多目标运行优化[J]. 电力系统自动化2012, 36(14): 177-185.
GU Wei, WU Zhi, WANG Rui. Multi-objective optimization of combined heat and power microgrid considering pollutant emission[J]. Automation of Electric Power Systems, 2012, 36(14): 177-185.
[11]
徐业琰彭思成廖清芬,等. 考虑用户互补聚合响应与热能传输延时的综合能源园区运营商两阶段短期优化调度[J]. 电力自动化设备2017, 37(6): 1-11.
XU Yeyan, PENG Sicheng, LIAO Qinfen, et al. Two-stage short-term optimal dispatch of MEP considering CAUR and HTTD[J]. Electric Power Automation Equipment, 2017, 37(6): 1-11.
[12]
白牧可唐巍吴聪,等. 基于热网电网综合潮流的用户侧微型能源站及接入网络优化规划[J]. 电力自动化设备2017, 37(6): 1-9.
BAI Muke, TANG Wei, WU Cong, et al. Optimal planning based on integrated thermal-electric power flow for user-side micro energy station and its integrating network[J]. Electric Power Automation Equipment, 2017, 37(6): 1-9.
[13]
LIU Z, CHEN C, YUAN J. Hybrid energy scheduling in a renewable micro grid[J]. Applied Sciences, 2015, 5(3): 516-531.
[14]
朱兰杨秀符杨. 含微型燃气轮机的微电网系统的优化规划研究[J]. 华东电力2011, 39(12): 2037-2040.
ZHU Lan, YANG Xiu, FU Yang. Optimal plan and design for microgrid including microturbine[J]. East China Electric Power, 2011, 39(12): 2037-2040.
[15]
帅暘冯丽祁佳,等. 萤火虫算法的图像边缘检测[J]. 通信技术2015(8): 913-917.
SHUAI Yang, FENG Li, QI Jia, et al. Image edge detection of glowworm swarm algorithm[J]. Communications Technology, 2015(8): 913-917.
[16]
骆东松李雄伟赵小强. 基于人工萤火虫的模糊聚类算法研究[J]. 工业仪表与自动化装置2013(2): 3-6.
LUO Dongsong, LI Xiongwei, ZHAO Xiaoqiang. Research on fuzzy clustering algorithm based on GSO[J]. Industrial Instrumentation & Automation, 2013(2): 3-6.
[17]
刘翠苹张海涛白舸. 基于萤火虫群优化算法的无线传感器节点部署[J]. 计算机应用2013, 33(4): 905-907.
LIU Cuiping, ZHANG Haitao, BAI Ge. Node deployment of wireless sensor network based on glowworm swarm optimization algorithm[J]. Journal of Computer Applications, 2013, 33(4): 905-907.
[18]
王晶王宗礼陈骏宇,等. 基于萤火虫优化算法的微网源荷博弈模型及分析[J]. 电力系统自动化2014, 38(21): 7-12.
WANG Jing, WANG Zongli, CHEN Junyu, et al. A game model for dgs-loads in microgrid based on firefly algorithm and its analysis[J]. Automation of Electric Power Systems, 2014, 38(21): 7-12.
[19]
徐兢浩. 基于改进萤火虫算法的变电站选址定容研究[D]. 北京:华北电力大学,2016.
XU Jinghao. Research on substation locating and sizing based on improved firefly algorithm[D]. Beijing: North China Electric Power University, 2016.
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