Research on Joint Dispatch of Wind-Storage-Thermal System Based on Improved Bacterial Colony Chemotaxis Algorithm

doi:10.11930/j.issn.1004-9649.2014.11.95.5

Abstract

Abstract: Wind power has the characteristics of randomness and volatility. When integrated to the grid, the wind power brings a high risk to the dispatcher. With consideration of the randomness of wind power output and the peak load shifting characteristics of pumped storage power station, a day-ahead generation plan can be made by simulating the wind power fluctuations scene. The hour-ahead scheduling model can be introduced to amend each unit output so as to establish optimal scheduling model of the wind-storage-fire joint system. Meanwhile, the improved bacterial colony chemotaxis algorithm is then introduced to solve the model. Finally, IEEE-10 crew Benchmarks simulation is applied for the analysis. The simulation results demonstrate the effectiveness and rationality of the optimal scheduling models, and can provide a theoretical reference for scheduling the dispatching scheme of the power system containing wind power and pumped storage.

Key words: randomness, volatility, wind power output, pumped storage station, cut a peak to fill valley, day-ahead generation plan, hour-ahead dispatch, bacterial colony chemotaxis algorithm

CLC Number:

TM732

HAN Hua-rong, ZHANG Jing, XU Jing-jie, FAN Zhen-nan. Research on Joint Dispatch of Wind-Storage-Thermal System Based on Improved Bacterial Colony Chemotaxis Algorithm[J]. Electric Power, 2014, 47(11): 95-100.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2014.11.95.5

https://www.electricpower.com.cn/EN/Y2014/V47/I11/95

References

[1] 卢锦玲,苗雨阳,张成相,等. 基于改进多目标粒子群算法的含风电场电力系统优化调度[J].电力系统保护与控制 2013,41（17）：25-31.
LU Jin-ling, MIAO Yu-yang, ZHANG Cheng-xiang, et al . Power system optimal dispatch considering wind farms based on improvedmulti-objective particle swarm algorithm [J]. Power System Protection and Control, 2013, 41(17): 25-31.
[2] 杨媛媛,杨京燕,夏天,等. 基于改进差分进化算法的风电并网系统多目标动态经济调度[J].电力系统保护与控制,2012,40（23）：24-29.
YANG Yuan-yuan, YANG Jing-yan, XIA Tian, et al . Multi- objective dynamic economic dispatch in wind power integrated system based on an improved differential evolution algorithm [J].Power System Protection and Control, 2012, 40(23): 24-29.
[3] 张鹏,刘继春,吕林,等. 基于风蓄协调的节能调度方法[J]. 电力系统保护与控制[J]. 2011,39（2）：29-24.
ZHANG Peng, LIU Ji-chun, LV Lin, et al . The energy-saving dispatch based on the coordination between pumped storage hydro and wind energy [J]. Power System Protection and Control,2011, 39(2): 29-24.
[4] 王青,杨悦,汪宁渤,等. 风电与火电“打捆”外送系统频率调控策略研究[J]. 中国电力,2014,47（3）： 6-13.
WANG Qing, YANG Yue, WANG Ning-bo, et al . Study on the frequency adjustment characteristics of wind power uniting thermal power outgoing system [J]. Electric Power, 2014, 47(3):6-13.
[5] 胡国伟,别朝红,王锡凡. 考虑运行可靠性的含风电电力系统优化调度[J]. 电工技术学报,2013,28（5）：58-65.
HU Guo-wei, BIE Zhao-hong, WANG Xi-fan, et al . Optimal dispatch in wind integrated system considering operation reliability[J]. Transactions of China Electrotechnical Society, 2013, 28(5): 58-65.
[6] 王坤,李林川,孙倩. 含大规模风电的电力系统优化调度模型[J]. 中国电力,2014,47（3）：37-41.
WANG Kun, LI Lin-chuan, SUN Qian. Optimal dispatching model of power systems integrated with large-scale wind power[J]. Electric Power, 2014, 47(3): 37-41.
[7] 娄素华,王志磊,吴耀武,等. 基于机会约束规划的含大规模风电电力系统协调经济调度[J]. 电工技术学报,2013,28（10）：337-345.
LOU Su-hua, WANG Zhi-lei, WU Yao-wu, et al . Coordinated economic dispatch for power system with significant wind power generation based on chance-constrained programming[J]. Transactions of China Electrotechnical Society, 2013, 28(10):337-345.
[8] 郑晓,张静,马韬韬,等. 基于改进决策方法的电力系统多目标优化调度[J]. 电工技术学报,2010（9）：151-156.
ZHENG Xiao, ZHANG Jing, MA Tao-tao, et al . Power system multi-objective optimization dispatch based on an improved decision-making method[J]. Transactions of China Electrotechnical Society, 2010(9): 151-156.
[9] 胡泽春,丁华杰,孔涛. 风电-抽水蓄能联合日运行优化调度模型[J]. 电力系统自动化,2012,36（2）：36-41.
HU Ze-chun, DING Hua-jie, KONG Tao. Wind power-pumped storage joint operation optimization scheduling model[J].Automation of Electric Power Systems, 2012, 36(2): 36-41.
[10] Abreu L V L, Khodayar M E, Shahidehpour M, et al . Risk- constrained coordination of cascaded hydro units with variable wind power generation [J]. Sustainable Energy, IEEE Transactions on, 2012, 3(3): 359-368.
[11] 王洪涛,何成明,房光华,等. 计及风电预测误差带的调度计划渐进优化模型[J]. 电力系统自动化,2011,35（22）：131-135.
WANG Hong-tao, HE Cheng-ming, FANG Guang-hua, et al . gradual optimization scheduling modelconsidering wind power prediction error[J]. Automation of Electric Power Systems, 2011,35(22): 131-135.
[12] 陈继明,王元元,高艳亮. 基于改进细菌群体趋药性算法的配电网无功优化[J]. 电力系统保护与控制,2012,40（14）：98-102.
CHEN Ji-ming, WANG Yuan-yuan, GAO Yan-liang. Reactive power optimization of distribution network based on improved bacterial colony chemotaxis algorithm[J]. Power Systems Protection and Control, 2012, 40(14): 98-102.
[13] 黄伟,张建华,张聪,等. 基于细菌群体趋药性算法的电力系统无功优化[J]. 电力系统自动化,2007,31（7）：29-33.
HUANG Wei, ZHANG Jian-hua, ZHANG Cong, et al . Reactive power optimization of power system based on bacterial colony chemotaxis algorithm[J]. Automation of electric Power Systems,2007, 31(7): 29-33.
[14] WANG C, SHAHIDEHPOUR S M. Effects of ramp-rate limits on unit commitment and economic dispatch [J]. IEEE Transactions on Power Systems, 1993, 8(3): 1341-1350.
[15] ZONG Jin, ZHOU Ming. Research on energy saving generation dispatch model[C]// 5th International Conference on Critical Infrastructure (CRIS). 2010: 1-6.
[16] 雷宇,杨明,韩学山. 基于场景分析的含风电系统机组组合的两阶段随机优化[J]. 电力系统保护与控制,2012,40（23）：58-67.
LEI Yu, YANG Ming, HAN Xue-shan. A two-stage stochastic optimization of unit commitment considering wind power based on scenario analysis[J]. Power System Protection and Control, 2012, 40(23): 58-67.