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一种双层-四级随机-鲁棒优化调度模型及求解

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提出一种考虑场景概率和出力不确定性的配电运营商-多微电网双层-四级随机-鲁棒优化模型及其求解方法.基于主从博弈原理构建上层配电运营商和下层微电网之间的主从关系,并分析主从博弈交易机制;配电运营商建立考虑风电场景概率不确定性的随机定价模型;下层微电网考虑风电场景概率不确定性和出力不确定性的影响,建立min-max-max-min四级结构的随机-鲁棒优化调度模型;提出了一种变量交替迭代的列约束生成算法,通过解耦四级结构来求解下层微电网随机-鲁棒模型;利用粒子群算法求解非凸的双层优化模型.最后,通过算例验证所提模型和方法的有效性.
A Two-layer-four-level Stochastic-robust Optimization Model and Its Solution
A distribution operator-multi-microgrid two-layer-four-level stochastic-robust optimization model and its solution method are proposed,considering scenario probability and output uncertainty.Based on the principle of the master-slave game,the master-slave relationship between the upper-tier distribution operator and the lower-tier microgrid is constructed,and the transaction mechanism of the master-slave game is analyzed;the distribution operator establishes a stochastic pricing model considering the probability uncertainty of wind power scenarios;the lower tier microgrid establishes a stochastic robust optimal dispatch model with a four-tier structure,namely min-max-max-min,taking into account the effects of the probability uncertainty of the wind power scenarios and the power uncertainty;a variable alternating iteration four-tier stochastic optimization model is proposed,and a solution method is proposed.model;a column constraint generation algorithm with alternating variable iterations is proposed to solve the stochastic-robust model of the lower microgrid by decoupling the four-level structure;and a particle swarm algorithm is used to solve the non-convex two-level optimization model.Finally,the validity of the proposed model and method is verified by an arithmetic example.

uncertainty in scenario probabilitiesmaster-slave gamesstochastic-robust optimizationcolumn-constrained generation algorithmsalternating iterations of variablesparticle swarm algorithm

王建辉、包广清、张瀚超

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兰州理工大学电气工程与信息工程学院,甘肃省兰州市 730050

西南石油大学电气信息学院,四川省成都市 610500

国网江苏省电力有限公司徐州供电分公司,江苏省 徐州市 221000

场景概率不确定性 主从博弈 随机-鲁棒优化 列约束生成算法 变量交替迭代 粒子群算法

四川省科技计划重点研发计划中央引导地方科技发展专项

2022YFG01232021ZYD0042

2024

10.13335/j.1000-3673.pst.2023.1755

电网技术
国家电网公司

电网技术

CSTPCD北大核心
影响因子：2.821
ISSN：1000-3673
年,卷(期)：2024.48(4)
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