引用本文:赵 毅,王维庆,闫斯哲.考虑阶梯型碳交易的风光储联合系统分布鲁棒优化调度[J].电力系统保护与控制,2023,51(6):127-136.
ZHAO Yi,WANG Weiqing,YAN Sizhe.Distributionally robust optimization scheduling of a joint wind-solar-storage systemconsidering step-type carbon trading[J].Power System Protection and Control,2023,51(6):127-136
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考虑阶梯型碳交易的风光储联合系统分布鲁棒优化调度
赵 毅,王维庆,闫斯哲
新疆大学可再生能源发电与并网控制教育部工程研究中心,新疆 乌鲁木齐 830017
摘要:
在“双碳”目标下,风、光等清洁能源的渗透率将不断提高,针对其发电具有不确定性给电力系统带来的调度难题,提出了风光储联合系统的两阶段分布鲁棒优化调度模型。为了减少系统的碳排放量,引入了阶梯型碳交易。模型中,第一阶段根据预测信息使系统的运行成本最低,第二阶段使用基于数据驱动的Wasserstein距离来构建出力误差的模糊集。并使用仿射策略对模型进行调整,使系统在满足模糊集中最恶劣分布的情况下,使调整成本最小。最后,使用了强对偶原理把模型转化为等效混合整数线性优化模型。通过算例分析及对比,验证了考虑阶梯型碳交易可以显著减少对传统机组的使用,以及分布鲁棒优化模型的适用性和优越性。
关键词:  碳交易  分布鲁棒优化  风光储  不确定性  优化调度  Wasserstein距离
DOI:10.19783/j.cnki.pspc.220771
分类号:
基金项目:国家自然科学基金项目资助(52067020);新疆维吾尔自治区教育厅重点项目资助(XJEDU2019I009)
Distributionally robust optimization scheduling of a joint wind-solar-storage systemconsidering step-type carbon trading
ZHAO Yi, WANG Weiqing, YAN Sizhe
Xinjiang University Engineering Research Center of Education Ministry for Renewable Energy Power Generation and Grid Connection, Urumqi 830017, China
Abstract:
Under the "dual carbon" target, the penetration of wind, solar and other clean energy will continue to increase, producing a scheduling problem brought by the uncertainty of its power generation. Thus a two-stage distributionally robust optimization model for the wind-solar-storage system is proposed. To reduce the carbon emissions of the system, step-type carbon trading is introduced. In the model, the operating cost of the system is minimized according to the forecast information in the first stage. In the second stage, Wasserstein distance is used to construct a fuzzy set of data-driven output errors. An affine strategy is used to adjust the model so that the system can meet the worst condition in the fuzzy set and the adjustment cost is minimized. Finally, a strong duality principle is used to transform the two-stage distributionally robust optimization model into the equivalent MILP model. Through the analysis of numerical examples, it is compared and verified that the use of traditional units can be significantly reduced by considering the step-type carbon trading through reasonable scheduling, and the applicability and superiority of distributionally robust optimization model is demonstrated.
Key words:  carbon trading  distributionally robust optimization  wind-solar-storage system  uncertainty  optimal dispatch  Wasserstein distance
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