Intraday Rolling Dispatching of Power System Based on Dependent Chance Goal Programming

被引：0
|
作者：
Li Z. [1 ]
Zhao S. [1 ]
Liu J. [2 ]
机构：
[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding
[2] Dispatching and Control Center of State Grid Qinghai Electric Power Company, Xining
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 11期
关键词：
Dependent chance programming; Deterministic transformation of chance-constrained condition; Power balance equation; Rolling dispatching of power system;
D O I：
10.7500/AEPS20180714001
中图分类号：
学科分类号：
摘要：
In the context of the large-scale renewable energy integrated into power system, the power balance equation with uncertain variables of prediction error is established considering the influence of renewable energy output uncertainty on the power balance equation in the intraday rolling dispatching model of the power system. In order to solve the power balance equation with uncertain variables, the equation constraint of power balance equation is transformed into the objective function to maximize the probability of occurrence of random events, and the dependent chance programming is established. Considering the uncertainty of renewable energy output, the robustness and economy of the scheme, the chance-constrained model of the system spinning reserve capacity is established. In order to improve the efficiency of solving the stochastic optimization dispatching model, a deterministic transformation method of chance-constrained conditions based on sampling is proposed, in which the chance-constrained conditions with multiple random variables are equivalently deterministically transformed, and then the goal programming is introduced to transform the multi-objective optimization model into a single-objective optimization model. Finally, an example is discussed to demonstrate the effectiveness of the proposed model. © 2019 Automation of Electric Power Systems Press.
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页码：77 / 85
页数：8
相关论文
共 28 条
  • [1] Xu Q., He D., Zhang N., Et al., A short-term wind power forecasting approach with adjustment of numerical weather prediction input by data mining, IEEE Transactions on Sustainable Energy, 6, 4, pp. 1283-1291, (2015)
  • [2] Hodge B.M., Milligan M., Wind power forecasting error distributions over multiple timescales, IEEE Power and Energy Society General Meeting
  • [3] Zhou X., Chen S., Lu Z., Et al., Technology features of the new generation power system in China, Proceedings of the CSEE, 38, 7, pp. 1893-1904, (2018)
  • [4] Wang K., Zhang B., Yan D., Et al., A multi-time scale rolling coordination scheduling method for power grid integrated with large scale wind farm, Power System Technology, 38, 9, pp. 2434-2440, (2014)
  • [5] Gallestey E., Stothert A., Antoine M., Et al., Model predictive control and the optimization of power plant load while considering lifetime consumption, IEEE Transactions on Power Systems, 17, 1, pp. 186-191, (2002)
  • [6] Camponogara E., Jia D., Krogh B.H., Et al., Distributed model predictive control, IEEE Control Systems, 22, 1, pp. 44-52, (2002)
  • [7] Zhu D., Liu W., Cai W., Et al., Load-source coordinated dispatch method for promoting wind power accommodation based on rolling optimization of energy and power, Automation of Electric Power Systems, 42, 5, pp. 80-85, (2018)
  • [8] Zhang B., Wu W., Zheng T., Et al., Design of a multi-time scale coordinated active power dispatching system for accommodating large scale wind power penetration, Automation of Electric Power Systems, 35, 1, pp. 1-6, (2011)
  • [9] Shen W., Wu W., Zhang B., Et al., An on-line rolling generation dispatch method and model for accommodating large-scale wind power, Automation of Electric Power Systems, 35, 22, pp. 136-140, (2011)
  • [10] Chen J., Wu W., Zhang B., Et al., A rolling generation dispatch strategy for co-generation units accommodating large-scale wind power integration, Automation of Electric Power Systems, 36, 24, pp. 21-27, (2012)
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