摘要
高比例新能源的接入对电力系统既是机遇也是挑战:新能源具有清洁低碳的环保优势,但其出力不确定性大、物理惯量低的特点也对系统的频率安全运行带来挑战。针对上述问题,提出一种考虑碳-绿证市场耦合的新能源与储能虚拟惯量-阻尼调度方法。首先,构建包含电力决策、碳交易市场和绿证交易市场三者耦合关系,并计及系统动态频率安全约束的虚拟惯量-阻尼调度优化模型;其次,为降低决策保守性,将不确定性约束建模为整体的联合机会约束形式;然后,采用改进的样本平均近似(modified sample average approximation, MSAA)方法对所提模型进行求解,有效规避常规样本平均近似(sample average approximation, SAA)方法中0-1指示变量导致的计算负担。在IEEE-39节点系统的仿真结果表明:与现有模型和机会约束建模方法相比,所提方法能够根据系统时变扰动需求自适应调整虚拟惯量和下垂阻尼,在满足风险概率5%的前提下,以比固定系数方法低6.03%的成本,确保系统频率偏差在0.5 Hz以内。展现出更好的经济性、低碳性和频率安全性;同时,改进的MSAA方法较传统SAA方法计算时间减少了约90%,可显著提升计算效率。
The high proportion of renewable energy integration presents both opportunities and challenges for power systems.Renewable energy offers environmental advantages such as clean and low-carbon properties,while its characteristics of high output uncertainty and low physical inertia pose challenges to system frequency security.To address this issue,this paper proposes a virtual inertia-damping scheduling method for renewable energy and energy storage,considering the coupling of carbon-green certificate markets.Firstly,an optimal virtual inertia-damping scheduling model is established,considering the coupling relationships among power decision-making,carbon trading markets and green certificate trading markets,as well as system dynamic frequency security constraints.To reduce decision conservatism,the uncertainty-related constraints are modeled as unified joint chance constraints.Then,an modified sample average approximation(MSAA)method is adopted to solve the proposed model,effectively avoiding the computational burden caused by 0-1 indicator variables in the conventional sample average approximation(SAA)method.Simulation results based on the IEEE-39 bus system demonstrate that compared with the existing models and chance constraint modeling methods,the proposed method can adaptively adjust virtual inertia and droop damping according to the system’s time-varying disturbance requirements.Under the risk probability of 5%,the proposed method ensures the system frequency deviation within 0.5 Hz at a cost 6.03%lower than the fixed coefficient method,exhibiting better economic,low-carbon,and frequency security performance.Additionally,the MSAA method reduces computation time by approximately 90%compared to the traditional SAA method, significantly promoting computational efficiency.
作者
汪进锋
田野
江霖
王灿彬
李鑫
许银亮
WANG Jinfeng;TIAN Ye;JIANG Lin;WANG Canbin;LI Xin;XU Yinliang(Electric Power Research Institute of Guangdong Power Grid Co.,Ltd.,Guangzhou,Guangdong 510080,China;Tsinghua Shenzhen International Graduate School,Shenzhen,Guangdong 518000,China;Zhuhai Power Supply Company of Guangdong Power Grid Co.,Ltd.,Zhuhai,Guangdong 519000,China)
出处
《广东电力》
北大核心
2025年第8期80-90,共11页
Guangdong Electric Power
基金
中国南方电网有限责任公司科技项目﹝030400KC23120031(GDKJXM20231501)﹞。
关键词
碳-绿证市场耦合
频率安全
联合机会约束
优化调度
样本平均近似
carbon-green certificate market coupling
frequency security
joint chance constraint
optimal dispatch
sample average approximation(SAA)
