Credible Capacity Assessment of Wind Power Considering Grid Constraints in Western Water-Enriched Region

doi:10.3969/j.issn.1000-7229.2016.06.019

Abstract

Abstract:

Credible capacity is an important index to evaluate the capacity value of distributed generation. According to the characteristics in western region of abundant wind power/hydropower located in the terminal of distribution network， distributed generation dispersedly accessing to the grid and the weak grid structure， this paper proposes the wind power credible capacity evaluation method considering grid constraint under the different operation strategies in local grid and intergration grid， adopts the local power grid scheduling and global credible capacity two-step algorithm to calculate the equivalent load capacity of system， and quantitatively analyzes the effect of grid connection in multiple types of power enrichment area on system adequacy. Taking a certain water-enriched regional grid in western region as example， we calculated the capacity credible of wind power， at the same time researched the influence of three different operation modes of local and external power system on the overall adequacy of system， and proposed relevant operation suggestions.

Key words: credible capacity of wind power, grid constraints, equivalent load capability, optimal scheduling

CLC Number:

TM 614

XIAO Yong， LI Xiaoying， ZHAO Tianyang， LIU Wenxia. Credible Capacity Assessment of Wind Power Considering Grid Constraints in Western Water-Enriched Region[J]. Electric Power Construction, 2016, 37(6): 134-141.

References

［1］张谦，李琥，高松. 风电对调峰的影响及其合理利用模式研究［J］. 南方电网技术， 2010， 4（6）: 18-22.
ZHANG Qian， LI Hu， GAO Song. Research on the impact of wind power on peak load regulation and its rational utilization mode［J］. Southern Power System Technology， 2010， 4（6）: 18-22.
［2］张硕，李庚银，周明. 考虑输电线路故障的风电场容量可信度计算［J］.中国电机工程学报， 2010， 30（16）: 19-25.
ZHANG Shuo， LI Gengyin， ZHOU Ming. Calculation of wind-farm capacity credit considering transmission line faults proceedings［J］. Proceedings of the CSEE， 2010， 30（16）: 19-25.
［3］王彤，卢斯煜，金小明，等. 风电并网对南方电网可靠性的影响评估［J］. 电力建设， 2015， 36（10）: 161-166.
WANG Tong， LU Siyu， JIN Xiaoming， et al. Influence assessment of wind power integration on China southern power grid reliability［J］. Electric Power Construction， 2015， 36（10）: 161-166.
［4］何俊，邓长虹，徐秋实，等. 风光储联合发电系统的可信容量及互补效益评估［J］. 电网技术， 2013， 37（11）: 3030-3036.
HE Jun， DENG Changhong， XU Qiushi， et al. Assessment on capacity credit and complementary benefit of power generation system integrated with wind farm， energy storage system and photovoltaic system［J］. Power System Technology， 2013， 37（11）: 3030-3036.
［5］王海超，鲁宗相，周双喜. 风电场发电容量可信度研究［J］. 中国电机工程学报，2005，25（10）: 103-106.
WANG Haichao， LU Zongxiang， ZHOU Shuangxi. Research on the capacity credit of wind energy resources［J］. Proceedings of the CSEE， 2005，25（10）: 103-106.
［6］张宁，康重庆，肖晋宇，等. 风电容量可信度研究综述与展望［J］. 中国电机工程学报， 2015， 35（1）: 82-94.
ZHANG Ning， KANG Chongqing， XIAO Jinyu， et al. Review and prospect of wind power capacity credit［J］. Proceedings of the CSEE， 2015， 35（1）: 82-94.
［7］DENT C J， KEANE A， BIALEK J W. Simplified methods for renewable generation capacity credit calculation: A critical review［C］//Power and Energy Society General Meeting. Minneapolis: IEEE， 2010: 1-8.
［8］WETZEL R， GIL E. Monte Carlo-based method to estimate the capacity value of wind power considering operational aspects［C］//Probabilistic Methods Applied to Power Systems （PMAPS）， 2014 International Conference on. Durham: IEEE， 2014: 1-6.
［9］D'ANNUNZIO C， SANTOSO S. Noniterative method to approximate the effective load carrying capability of a wind plant［J］. IEEE Transactions on Energy Conversion ， 2008，23 （2） : 544-550.
［10］VOORSPOOLS K R， D'HAESELEER W D. Critical evaluation of methods for wind-power appraisal［J］. Renewable and Sustainable Energy Reviews， 2007， 11（1）: 78-97.
［11］ABREU L V L， KHODAYAR M E， SHAHIDEHPOUR M， et al. Risk-constrained coordination of cascaded hydro units with variable wind power generation［J］. IEEE Transactions on Sustainable Energy， 2012， 3（3）: 359-368.
［12］WU L， SHAHIDEHPOUR M， LI Z. GENCO's risk-constrained hydrothermal scheduling［J］. IEEE Transactions on Power Systems， 2008， 23（4）: 1847-1858.
［13］YANG Ning， WEN Fushuan. Risk-constrained multistage transmission system expansion planning［J］. Automation of Electric Power Systems， 2005， 29（4）: 28-33.
［14］LIU C， WANG J， BOTTERUD A， et al. Assessment of impacts of PHEV charging patterns on wind-thermal scheduling by stochastic unit commitment［J］. IEEE Transactions on Smart Grid， 2012， 3（2）: 675-683.
［15］王锡凡，王秀丽. 随机生产模拟及其应用［J］.电力系统自动化， 2003， 27（8）: 10-15.
WANG Xifan， WANG Xiuli.Probabilistic production simulation method and its application［J］. Automation of Electric Power Systems， 2003， 27（8）: 10-15.
［16］KARKI R， HU P， BILLINTON R. Reliability evaluation considering wind and hydro power coordination［J］. IEEE Transactions on Power Systems， 2010， 25（2）: 685-693.
［17］LFBERG J. Dualize it: software for automatic primal and dual conversions of conic programs［J］. Optimization Methods & Software， 2009， 24（3）: 313-325.

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