Journal of Shanghai Jiao Tong University ›› 2021, Vol. 55 ›› Issue (12): 1598-1607.doi: 10.16183/j.cnki.jsjtu.2021.295

Special Issue: 《上海交通大学学报》2021年“电气工程”专题 《上海交通大学学报》2021年12期专题汇总专辑

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

LIU Mingtao1, XIE Jun1(), ZHANG Qiuyan1, BAO Changyu1, CHANG Yifan1, DUAN Jianan1, SHI Xionghua2, BAO Yong2   

  1. 1. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
    2. NR Electric Co., Ltd., Nanjing 211102, China
  • Received:2021-08-07 Online:2021-12-28 Published:2021-12-30
  • Contact: XIE Jun E-mail:jxie@hhu.edu.cn

Abstract:

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.

Key words: wind power, production simulation, low-carbon economy, stochastic programming, carbon trading market

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