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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
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作者单位:

1.大连理工大学电气工程学院;2.大连理工大学电气工程学院,国网沈阳供电公司;3.大连理工大学电气工程学院,国网辽宁省电力有限公司电力科学研究院

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基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目)


Four-stage Modeling of Monthly Energy-trade Scheduling Considering Fairness of the Rate of Power Schedule Progress
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College of Electrical Engineering Dalian University of Technology,Dalian

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    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 the proportion of new energy, the strong uncertainty of output power of new energy has brought a lot of problems to the existing formulation method of monthly energy-trade scheduling which uses a decoupled serial method. This paper proposes a time-sequence simulation method for monthly energy-trade scheduling. In this method, the coupled and coordinated optimization method including new energy units and conventional units can fully consider the impact of the power uncertainty of new energy to ensure the accurate implementation of the scheduling. With the full consideration of characteristics of the problem, the four-stage modeling idea (“modeling by stages, the model of former stage is relatively accurate, and the model of later stage is relatively rough”) can ensure the convergence of the calculation and increase the calculation speed, while facilitate the introduction of safe operation constraints. Thus, the four-stage modeling idea lays a good foundation for the formulation of scheduling. The introduction of the Gini coefficient constraint for the rate of power schedule progress on the annual time scale can ensure the balance of the rate of power schedule progress of each power generation entity, to better ensure fairness. The results of the examples verify the feasibility and effectiveness of the proposed method.

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引用本文

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/OL].电力系统自动化,http://doi.org/10.7500/AEPS20191219006.
ZHANG Qi,SUN Liang,SHEN Jiakai,et al.Four-stage Modeling of Monthly Energy-trade Scheduling Considering Fairness of the Rate of Power Schedule Progress[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20191219006.

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  • 收稿日期:2019-12-19
  • 最后修改日期:2020-05-14
  • 录用日期:2020-03-23
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