|本期目录/Table of Contents|

[1]高云龙*,王伟萧.考虑火电机组调度计划交付能力的风火电联合优化与调度[J].厦门大学学报(自然科学版),2019,58(01):111-115.[doi:10.6043/j.issn.0438-0479.201711017]
 GAO Yunlong*,WANG Weixiao.Optimization based scheduling for wind power integrated system considering the delivery capability of the thermal power unit[J].Journal of Xiamen University(Natural Science),2019,58(01):111-115.[doi:10.6043/j.issn.0438-0479.201711017]
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考虑火电机组调度计划交付能力的风火电联合优化与调度(PDF/HTML)
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《厦门大学学报(自然科学版)》[ISSN:0438-0479/CN:35-1070/N]

卷:
58卷
期数:
2019年01期
页码:
111-115
栏目:
研究论文
出版日期:
2019-01-24

文章信息/Info

Title:
Optimization based scheduling for wind power integrated system considering the delivery capability of the thermal power unit
文章编号:
0438-0479(2019)01-0111-05
作者:
高云龙*王伟萧
厦门大学航空航天学院,福建 厦门 361102
Author(s):
GAO Yunlong*WANG Weixiao
School of Aerospace Engineering,Xiamen University,Xiamen 361102,China
关键词:
风电 电力系统优化调度 机会约束 连续时间调度模型
Keywords:
wind power power system scheduling chance constrained continuous-time scheduling model
分类号:
TM 301
DOI:
10.6043/j.issn.0438-0479.201711017
文献标志码:
A
摘要:
为了规模化开发利用风电,应对高不确定性风电资源的大规模接入,针对我国贫油、少气、富煤的能源结构布局,主要从火电机组调度计划交付能力的角度来研究风火电联合优化与调度,探索充分发挥风火发电的互补机制与理论方法.通过引入机会约束规划来处理风电的随机性,并建立了含概率约束的不确定模型.针对离散时间调度模型中存在的能量不可交付和备用容量上下限不可达的问题,提出含积分约束的连续时间调度模型,将风火电联合优化与调度这一实际问题建模为一个含连续时间约束与概率约束的不确定非线性规划问题,并给出将该问题转化为确定性问题的方法.对所提出的连续时间调度模型进行实验仿真表明了该模型的合理性和有效性.
Abstract:
In order to scale up development and utilization of wind power and coping with large scale of high uncertainty of wind sources,we urgently need to explore and fully develop the complementary mechanism and theory method of wind-thermal power generation to deal with China’s poor-oil,less-gas and rich-coal energy structure and arrangement.Through introducing chance constrained programming to cope with the randomness of wind power,we establishes uncertain model with probability constraints.Considering the generation schedule obtained with discrete-time model might be unrealizable in terms of energy and the upper and lower bounds of spinning reserve offered by a unit is unreachable,a new model for optimization based scheduling model with integral constraints is presented.Finally based on the idea of model transformation,the random dispatching model containing probability constraints is transformed into an equivalent deterministic model.Simulation experiments for the optimization based accurate scheduling for wind power integrated system is performed and simulation results are discussed.It is demonstrated the new model is reasonable and effective.

参考文献/References:

[1] 国家发展和改革委员会能源研究所,国际能源署.中国风电发展路线图2050[R].北京:国家发展和改革委员会能源研究所,2011.
[2] 薛禹胜,雷兴,薛峰,等.关于风电不确定性对电力系统影响的评述[J].中国电机工程学报,2014,34(29):5029-5040.
[3] 葛炬,王飞,张粒子.含风电场电力系统旋转备用获取模型[J].电力系统自动化,2010,34(6):32-36.
[4] HU B Q,WU L,GUAN X H,et al.Comparison of variant robust SCUC models for operational security and economics of power systems under uncertainty[J].Electric Power Systems Research,2016,133:121-131.
[5] SHUKLA A,SINGH S N.Cluster based wind-hydro- thermal unit commitment using GSA algorithm[C]∥2014 IEEE PES General Meeting Conference & Exposition.[S.l.]:IEEE,2014:1-5.
[6] BANGERJEE S,DASGUPTA K,CHANDA C K.Short term hydro-wind-thermal scheduling based on particle swarm optimization technique[J].Electrical Power and Energy Systems,2016,81:275-288.
[7] GUAN X H,GAO F,SVOBODA A J.Energy delivery capacity and generation scheduling in the deregulated electric power market[J].IEEE Trans Power Syst,2000,15(4):1275-1280.
[8] 高云龙,潘金艳,杨子江,等.电力系统能量与备用联合优化与精确调度[J].中国科学:技术科学,2012,42(1):47-56.
[9] 刘宝碇,赵瑞清,王纲.不确定规划及应用[M].北京:清华大学出版社,2003:79-87.
[10] BLUDSZUWEIT H,DOMINGUEZ-NAVARRO J A,LLOMBART A.Statistical analysis of wind power forecast error[J].IEEE Transon Power Systems,2008,23(3):983-991.
[11] 管晓宏,翟桥柱,冯泳翰,等.一类含积分约束的生产制造系统优化调度[J].中国科学:技术科学,2010,40(1):41-51.
[12] 张海峰,高峰,吴江.含风电的电力系统动态经济调度模型[J].电网技术,2013,37(5):1298-1303.[1] 国家发展和改革委员会能源研究所,国际能源署.中国风电发展路线图2050[R].北京:国家发展和改革委员会能源研究所,2011.
[2] 薛禹胜,雷兴,薛峰,等.关于风电不确定性对电力系统影响的评述[J].中国电机工程学报,2014,34(29):5029-5040.
[3] 葛炬,王飞,张粒子.含风电场电力系统旋转备用获取模型[J].电力系统自动化,2010,34(6):32-36.
[4] HU B Q,WU L,GUAN X H,et al.Comparison of variant robust SCUC models for operational security and economics of power systems under uncertainty[J].Electric Power Systems Research,2016,133:121-131.
[5] SHUKLA A,SINGH S N.Cluster based wind-hydro- thermal unit commitment using GSA algorithm[C]∥2014 IEEE PES General Meeting Conference & Exposition.[S.l.]:IEEE,2014:1-5.
[6] BANGERJEE S,DASGUPTA K,CHANDA C K.Short term hydro-wind-thermal scheduling based on particle swarm optimization technique[J].Electrical Power and Energy Systems,2016,81:275-288.
[7] GUAN X H,GAO F,SVOBODA A J.Energy delivery capacity and generation scheduling in the deregulated electric power market[J].IEEE Trans Power Syst,2000,15(4):1275-1280.
[8] 高云龙,潘金艳,杨子江,等.电力系统能量与备用联合优化与精确调度[J].中国科学:技术科学,2012,42(1):47-56.
[9] 刘宝碇,赵瑞清,王纲.不确定规划及应用[M].北京:清华大学出版社,2003:79-87.
[10] BLUDSZUWEIT H,DOMINGUEZ-NAVARRO J A,LLOMBART A.Statistical analysis of wind power forecast error[J].IEEE Transon Power Systems,2008,23(3):983-991.
[11] 管晓宏,翟桥柱,冯泳翰,等.一类含积分约束的生产制造系统优化调度[J].中国科学:技术科学,2010,40(1):41-51.
[12] 张海峰,高峰,吴江.含风电的电力系统动态经济调度模型[J].电网技术,2013,37(5):1298-1303.

备注/Memo

备注/Memo:
收稿日期:2017-11-20 录用日期:2018-07-16
基金项目:国家自然科学基金(61203176); 福建省自然科学基金(2013J05098,2016J01756); 厦门大学大学生创新创业训练计划(2016Y0452)
*通信作者:gaoyl@xmu.edu.cn
更新日期/Last Update: 1900-01-01