Short-Term Production Simulation of Power System Containing Wind Power Under Carbon Trading Environment

被引:0
|
作者
Liu M. [1 ]
Xie J. [1 ]
Zhang Q. [1 ]
Bao C. [1 ]
Chang Y. [1 ]
Duan J. [1 ]
Shi X. [2 ]
Bao Y. [2 ]
机构
[1] College of Energy and Electrical Engineering, Hohai University, Nanjing
[2] NR Electric Co., Ltd., Nanjing
来源
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 2021年 / 55卷 / 12期
关键词
Carbon trading market; Low-carbon economy; Production simulation; Stochastic programming; Wind power;
D O I
10.16183/j.cnki.jsjtu.2021.295
中图分类号
学科分类号
摘要
In order to improve the competitiveness of wind power in participating in the power market, promote low-carbon operation of the power system, and meet the new requirements for the completeness and flexibility of the production simulation model due to the uncertainty of wind power output, this paper analyzes the electricity cost composition from the perspective of low-carbon economy, and applies the stochastic programming theory to propose a short-term production simulation model of power system containing wind power. Considering the participation of the carbon trading market, this model aims to minimize the expected cost of electricity production in a short-term time scale, and coordinately optimize the day-ahead power output, real-time power regulation, power reserve capacity, wind curtailment, and load shedding. Taking the modified IEEE 39-bus system as an example, this paper quantitatively evaluates the impact of carbon trading mechanism, carbon trading price, and wind power installed capacity on electricity costs and their contributions to carbon emission reduction. The simulation results show that the proposed model can effectively analyze the short-term electricity cost, carbon emissions, and operational risks of the power system containing wind power under the carbon trading environment, thus has a promise application prospect. © 2021, Shanghai Jiao Tong University Press. All right reserved.
引用
收藏
页码:1598 / 1607
页数:9
相关论文
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