IDG accommodation based on second-order cone programming

被引：0
|
作者：
Xing H. [1 ]
Cheng H. [1 ]
Zeng P. [2 ]
Zhang Y. [3 ]
机构：
[1] Key Laboratory of Control of Power Transmission and Conversion, Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai
[2] China Electric Power Research Institute, Beijing
[3] Fujian Electric Power Research Institute, Fuzhou
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2016年 / 36卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Active distribution network; Active management; Intermittent distributed generation; Second-order cone programming;
D O I：
10.16081/j.issn.1006-6047.2016.06.011
中图分类号：
学科分类号：
摘要：
The mechanism of active management techniques in active distribution network is analyzed. Based on the sequential characteristics of transformer HV-side voltage, load and IDG(Intermittent Distributed Generation), the distribution network power flow equations and the constraint relaxation, a second-order cone programming model of IDG accommodation is proposed, which takes the maximum IDG accommodation as its objective function and considers various active management techniques, such as DG curtailment, OLTC(On- Load Tap Changer) tap position adjustment, reactive power compensation, etc. CVX modelling toolkit with commercial solver GUROBI is used to solve the model. Case study of the improved IEEE 33-bus network verifies the effectiveness of the proposed model. © 2016, Electric Power Automation Equipment Press. All right reserved.
引用
收藏
页码：74 / 80
页数：6
相关论文
共 28 条
  • [1] Ochoa L.F., Harrison G.P., Minimizing energy losses:optimal accommodation and smart operation of renewable distributed generation, IEEE Transactions on Power Systems, 26, 1, pp. 198-205, (2011)
  • [2] Barton J.P., Infield D.G., Energy storage and its use with intermittent renewable energy, IEEE Transactions on Energy Conversion, 19, 2, pp. 441-448, (2004)
  • [3] Wang M., Han X., Sun H., Improving intermittent energy accommodation capability of power grid based on electro-thermal coordination theory, Electric Power Automation Equipment, 33, 9, pp. 7-12, (2013)
  • [4] Xing H., Cheng H., Zhang Y., Optimal coordination of intermittent distributed generation with probabilistic power flow, Journal of Electrical Engineering & Technology, 10, 6, pp. 2211-2220, (2015)
  • [5] Fan M., Zhang Z., Su A., Et al., Enabling technologies for active distribution systems, Proceedings of the CSEE, 33, 22, pp. 12-18, (2013)
  • [6] Li P., Dou P., Li Y., Et al., Application of microgrid technology in active distribution network, Electric Power Automation Equipment, 35, 4, pp. 8-16, (2015)
  • [7] Xing H., Cheng H., Zhang S., Et al., Review of active distribution network planning, Power System Tech- nology, 39, 10, pp. 2705-2711, (2015)
  • [8] Zeng B., Liu N., Zhang Y., Et al., Bi-level scenario programming of active distribution network for promoting intermittent distributed generation utilization, Transactions of China Electrotechnical Society, 28, 9, (2013)
  • [9] Chowdhury S., Crossley P., Microgrids and Active Distribution Networks, pp. 2-12, (2009)
  • [10] Mcdonald J., Adaptive intelligent power systems:active distribution networks, Energy Policy, 36, 12, pp. 4346-4351, (2008)
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