Power-output allocation for peak regulation of regional grid with high penetration of renewable energy resources

被引：0
|
作者：
Xu X. [1 ]
Song Y. [1 ]
Yao L. [2 ]
Yan Z. [1 ]
机构：
[1] Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai
[2] China Electric Power Research Institute, Beijing
来源：
| 2017年 / Electric Power Automation Equipment Press卷 / 37期
基金：
国家重点研发计划;
关键词：
Chance-constrained programming; High penetration of renewable energy resources; Monte Carlo methods; Peak regulation; Power-output allocation;
D O I：
10.16081/j.issn.1006-6047.2017.08.006
中图分类号：
学科分类号：
摘要：
With the large-scale integration of renewable energy resources, peak regulation during valley-load period becomes an operational difficulty of regional grid with high penetration of renewable energy resources. Power-output allocation among the generators directly-dispatched by the regional grid can relieve the peak regulation pressure of provincial grids. A quadratic programming model with the load stability of provincial grids and the maximum profit of directly-dispatched regional generators as its objectives is built and the price leverage and peak regulation pressure coefficient are introduced to coordinate the peak regulation demands of different provincial grids, based on which, a chance-constrained programming model considering the wind-power uncertainty is built and solved by the Monte Carlo simulation technology to verify the effectiveness of the proposed power-output allocation model in the conditions of uncertainty and risk. The simulative results of a simplified example of East China Power Grid show that, the proposed model can effectively solve the peak regulation difficulty of regional grid with high penetration of renewable energy resources. © 2017, Electric Power Automation Equipment Press. All right reserved.
引用
收藏
页码：43 / 51
页数：8
相关论文
共 15 条
  • [1] Tian S., Cheng H., Chang H., Et al., Analysis and evaluation of social benefit from UHV power grid, Electric Power Automation Equipment, 35, 2, pp. 145-153, (2015)
  • [2] Guo X., Gong R., Bao H., Et al., Second-order cone programming method of chance constrained economic dispatch considering renewable energy sources, Power System Protection and Control, 43, 22, pp. 85-91, (2015)
  • [3] Mei T., Gan D., Xie J., Fair allocation of coalfired unit shutdown cost for peaking in valley time, Electric Power Automation Equipment, 36, 12, pp. 69-74, (2016)
  • [4] Yang D., Zhou S., Bao F., Analysis on peak load regulation capability of power grid integrated with wind farms in valley load period, Power System Technology, 38, 6, pp. 1446-1451, (2014)
  • [5] Yu J., Sun H., Shen X., Optimal operating strategy of integrated power system with wind farm, CHP unit and heat storage device, Electric Power Automation Equipment, 37, 6, pp. 139-145, (2017)
  • [6] Niu L., Gong Q., Huang B., Et al., Optimal dispatch of wind-gas-coal power generation system with large-scale wind farm, Electric Power Automation Equipment, 35, 11, pp. 52-58, (2015)
  • [7] Lu Q., Hu W., Min Y., Et al., A multi-pattern coordinated optimization strategy of wind power and energy storage system considering temporal dependence, Automation of Electric Power Systems, 39, 2, pp. 6-12, (2015)
  • [8] Jiang X., Chen H., Xiang T., Et al., Wind power penetration capacity considering peak regulation characteristics, Electric Power Automation Equipment, 34, 12, (2014)
  • [9] Zhang H., Yin Y., Shen H., Et al., Analysis on influence of load rate on power system self-organized criticality, Automation of Electric Power Systems, 36, 1, pp. 32-37, (2012)
  • [10] Dashti H., Conejo A.J., Jiang R., Et al., Weekly two-stage robust generation scheduling for hydrothermal power systems, IEEE Transactions on Power Systems, 31, 6, pp. 4554-4564, (2016)
12