摘要
在高比例可再生能源电力系统建设路径下,氢储能参与电力市场一方面能够促进可再生能源的充分利用与平抑输出,另一方面也能通过扩大氢能的应用场景缓解由于氢能的高成本带来的市场竞争力不足的问题。首先对氢储能参与市场的不同模式进行国内适应性分析,并给出储能参与的电能量市场和辅助服务市场出清模型,然后分别从市场参与者、市场政策制定者的角度设计了风险量化模型。针对市场参与者,基于风氢耦合系统给出了氢储能的相关能量流模型,并建立短期风险量化与决策模型,包括基于Vine-Copula的电力市场概率电价的出清模型、短期风险量化模型及基于动态策略空间及强化学习的电力市场智能代理决策模型3个部分。其中,在国内电力市场电网拓扑不披露的环境下,概率电价模型和智能代理报价模型为市场参与者提供了决策方法。针对市场政策制定者,该研究成果设计了风氢耦合系统参与市场的政策风险量化模型,可为政策制定提供市场影响量化工具。
Following the pathways to build a power system with high penetration of renewable,participation of hydrogen energy storage in power market can promote the full utilization of renewable energy and level out the output.On the one hand,it could expand the application scenarios of hydrogen energy to alleviate the problem of insufficient market competitiveness due to the high cost of hydrogen energy by expanding the application scenarios of hydrogen energy.Firstly,different models of hydrogen energy storage participation in the market are analyzed for domestic adaptability.A market-clearing model was designed from the perspective of market participants and market policy makers.For the market participants the energy flow model related to hydrogen storage is given based on the wind-hydrogen coupling system,and the short-term risk quantification and decision model is established,including Vine-Copula-based probabilistic electricity price model,shortterm risk quantification model and the power market intelligent agent bidding model based on dynamic strategy space and reinforcement learning.The probabilistic electricity price model and the smart agent bidding model can support market participants when the grid topology is unknown.For market policy makers,a policy risk quantification model was designed for facilitating policy-making and market impact quantification concerning wind-hydrogen systems in power market.
作者
孔飘红
蒋正威
杨力强
甘倍瑜
龚昭宇
KONG Piaohong;JIANG Zhengwei;YANG Liqiang;GAN Beiyu;GONG Zhaoyu(State Grid Zhejiang Electric Power Co,.Ltd.,Hangzhou 310000,China;State Grid Huzhou Power Supply Co.,Ltd.,Huzhou 313000,China;TsIntergy Technology Co.,Ltd.,Beijing 100084,China)
出处
《供用电》
2022年第1期31-39,共9页
Distribution & Utilization
基金
国家电网有限公司科技项目“基于人工智能的电力现货市场运行风险数据分析及示范应用”(5700-202019364A-0-0-00)。
