Four-stage Modeling of Monthly Energy Trading Schedule Considering Fairness of Power Scheduling Progress

Qi ZHANG; Liang SUN; Jiakai SHEN; Ping LI; Weidong LI

doi:10.7500/AEPS20191219006

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Four-stage Modeling of Monthly Energy Trading Schedule Considering Fairness of Power Scheduling Progress

Application Research | 更新时间：2025-06-16

- Four-stage Modeling of Monthly Energy Trading Schedule Considering Fairness of Power Scheduling Progress
- Automation of Electric Power Systems Vol. 44, Issue 14, Pages: 101-110(2020)
- 作者机构：
  
  1. 大连理工大学电气工程学院，辽宁省大连市 116024
  2. 国网沈阳供电公司，辽宁省沈阳市 110081
  3. 国网辽宁省电力有限公司电力科学研究院，辽宁省沈阳市 110006
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China
- DOI：10.7500/AEPS20191219006
  CLC：
- Received：19 December 2019，
  
  Revised：2020-03-18，
  
  Published Online：21 May 2020，
  
  Published：25 July 2020
- 稿件说明：
移动端阅览
张琦,孙亮,申家锴等.考虑电量执行进度公平性的月度电能交易计划四阶段建模[J].电力系统自动化,2020,44(14):101-110.

ZHANG Qi,SUN Liang,SHEN Jiakai,et al.Four-stage Modeling of Monthly Energy Trading Schedule Considering Fairness of Power Scheduling Progress[J].Automation of Electric Power Systems,2020,44(14):101-110.
张琦,孙亮,申家锴等.考虑电量执行进度公平性的月度电能交易计划四阶段建模[J].电力系统自动化,2020,44(14):101-110. DOI： 10.7500/AEPS20191219006.

ZHANG Qi,SUN Liang,SHEN Jiakai,et al.Four-stage Modeling of Monthly Energy Trading Schedule Considering Fairness of Power Scheduling Progress[J].Automation of Electric Power Systems,2020,44(14):101-110. DOI： 10.7500/AEPS20191219006.

摘要

随着新能源占比的不断提升，新能源输出电量较强的不确定性给现有采用解耦串行方式的月度电能交易计划编制带来诸多问题。文中提出了一种月度电能交易计划编制的时序仿真法，其中：新能源与传统机组的耦合协同优化方式可充分考虑新能源电量不确定性的影响，保障计划准确实施；“分段建模，前细后粗”的四阶段建模思路，可充分利用问题特点，既保证计算收敛且提升计算速度又方便计入运行安全约束，为调度计划制定奠定良好基础；年时间尺度电量执行进度基尼系数约束的引入，可保证各个发电实体电量执行进度的均衡，从而更好地保证公平性。算例结果验证了所提方法的可行性与有效性。

Abstract

With the continuous increase of proportion of new energy

the strong uncertainty of output power of new energy has brought a lot of problems to the existing planning method of monthly energy trading schedule which uses a decoupled serial method. This paper proposes a time-sequence simulation method for monthly energy trading schedule. In this method

the coupled and coordinated optimization method of new energy units and conventional units can fully consider the impact of power uncertainty of new energy

to ensure the accurate implementation of schedule. With full consideration of characteristics of the problem

the four-stage modeling idea (“modeling by stages

the model of earlier stage is relatively accurate

and the model of later stage is relatively rough”) can ensure the convergence of the calculation and improve the calculation speed

while facilitates the introduction of safe operation constraints. Thus

the four-stage modeling idea lays a good foundation for the planning of schedule. The introduction of Gini coefficient constraint for the power scheduling progress in the annual time scale can ensure the balance of power scheduling progress in each power generation entity

and then well ensure the fairness. The results of examples verify the feasibility and effectiveness of the proposed method.

关键词

Keywords

references

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