摘要
电力现货市场通过供需关系发现电力价格,实现电力资源精准高效配置。独立储能参与电力现货市场,能够借助价格信号引导主体参与电网的高峰、顶峰以及低谷时段的电力消纳,进而提升电力系统的运行效率。该文基于南方区域电力现货市场出清模型及独立储能价格政策,研究了储能参与电力现货市场的盈利模式以及报价策略。首先,基于出清模型与储能价格政策,构建了以收益最大化为目标的储能充放电模型。其次,依据所构建的模型,提出了报量不报价、报量报价两种参与现货模式下的储能申报策略。最后,基于南方区域电力现货市场2024年11月结算试运行数据,测算了峰谷分时电价机制、报量不报价参与现货市场、报量报价参与现货市场三种模式下的预期收益,并分析了影响储能收益的关键因素。研究结果表明,在验证场景下,市场价格信号可有效引导储能充放电;在设定的储能价格政策下,报量报价参与市场模式较报量不报价模式盈利能力更强,可获得疏导电网阻塞带来的经济效益。
Electricity spot markets discover real-time power prices through supply-demand dynamics to optimize power resource allocation.Independent energy storage participation leverages price signals to support grid peak-shaving and valley-filling,enhancing system efficiency.This study proposes storage revenue models and bidding strategies using electricity spot market in the China Southern Region clearing mechanism and storage pricing policies.A revenue-maximizing charge-discharge optimization model was developed,and price declaration strategies for both participation schemes were formulated.Based on November 2024 actual data from the Southern Regional Electricity Spot Market,expected revenues were quantified across three operational modes:1)time-of-use pricing,2)spot market participation with quantity-only bidding,and 3)spot market participation with quantity-price bidding,with key profitability factors analyzed.Results demonstrate effective price-guided storage operation,confirming that under current policies,the price-offer scheme delivers higher profitability than the non-priceoffer alternative by capturing congestion management benefits.
作者
袁涔
代江
王明杰
杨粤
王明阳
姚刚
朱思霖
YUAN Cen;DAI Jiang;WANG Mingjie;YANG Yue;WANG Mingyang;YAO Gang;ZHU Silin(Power Dispatch&Control Center,Guizhou Power Grid Co.,Ltd.,Guiyang 550002,Guizhou,China)
出处
《电力大数据》
2025年第5期47-58,共12页
Power Systems and Big Data
基金
中国南方电网有限责任公司科技项目(060000KC22120037)。
关键词
独立储能
电力现货市场
报价策略
报量报价
报量不报价
stand-alone energy storage
electricity spot markets
bidding strategies
quantity-price bidding
quantityonly bidding
