摘要
为解决分布式柔性资源优化问题,文章提出了基于机会约束的跨区域电网可再生能源消纳优化模型。论述了两阶段优化模型的基本架构,分析了两阶段的求解思路。分别利用含机会约束的上层优化模型和下层经济调度模型构建两阶段优化模型,提出利用平衡约束求解算法以及强对偶理论对所提出的模型进行求解。最后利用仿真分析验证所提出模型的有效性。结论论述了可再生能源消纳比例与电网出力、负荷水平以及碳社会成本之间的关系。
To address the issue of optimization in the consumption of renewable energy in a distributed and flexible resource setting,a model based on opportunity-constrained cross-regional grid renewable energy integration is proposed.This paper discusses the fundamental architecture of the two-stage optimization model and analyzes the solving strategies for each stage.The two-stage optimization model is established,comprising an upper-level optimization model with opportunity constraints and a lower-level economic dispatch model.The paper proposes the use of a balancing constraint solving algorithm and strong duality theory to solve the model.Finally,the effectiveness of the proposed model is demonstrated through simulation analysis,and the conclusion discusses the relationship between the proportion of renewable energy consumption and grid output,load levels,and carbon societal costs.
作者
徐福聪
赵飞
Xu Fucong;Zhao Fei(State Grid Fujian Electric Power Co.Ltd.,Fuzhou 350003,China;North China Electric Power University,Baoding 071003,China)
出处
《可再生能源》
CAS
CSCD
北大核心
2024年第12期1689-1696,共8页
Renewable Energy Resources
基金
国家自然科学基金面上项目(52076081)。
关键词
可再生能源
机会约束
可再生能源消纳
两阶段优化调度
renewable energy
opportunity constraints
renewable energy integration
two-stage optimization dispatch
作者简介
徐福聪(1970-),男,硕士,高级工程师,研究方向为电力系统及其自动化。E-mail:sjdq@163.com;通信作者:赵飞(1982-),男,博士,副教授,研究方向为风电机组建模与风功率预测、新型电力系统、智能配电网及混合储能技术。E-mail:german999@sohu.com。
