风氢耦合系统参与现货市场的竞标策略及优化调度方法
BIDDING STRATEGY AND OPTIMAL DISPATCHING METHOD OF WIND-HYDROGEN COUPLING SYSTEM PARTICIPATING IN SPOT MARKET
梁宁 1潘郑楠 1徐慧慧 2郑峰 3何熙宇 1张江云1
作者信息
- 1. 昆明理工大学电力工程学院,昆明 650500
- 2. 国网甘肃省电力公司经济技术研究院,兰州 730050
- 3. 福州大学电气工程与自动化学院,福州 350108
- 折叠
摘要
为解决高比例风电市场竞标能力弱、市场消纳困难的问题,提出高比例风电耦合氢储能系统联合参与现货市场竞价的双层Stackelberg博弈模型.首先,研究风氢耦合系统内部能量转换关系,揭示风氢耦合系统的能量"时空平移"机理,在综合考虑风氢耦合系统收益和成本的基础上,建立风电投标和氢储能充放电决策模型;其次,兼顾风氢耦合系统和独立系统运营商的利益诉求,基于Stackelberg博弈建立以火电机组、风氢耦合系统为主体的市场出清模型;最后,针对双层模型求解困难的问题,运用KKT条件和强对偶理论将双层模型转换为易于求解的单层混合整数规划模型.仿真结果表明,所提策略对高比例风电的市场消纳起到了积极作用.
Abstract
In order to solve the problems of weak bidding ability and difficult market accommodation in high proportion wind power market,a bi-level Stackelberg game model of high proportion wind power coupled hydrogen energy storage system participating in spot market bidding is proposed.Firstly,the internal energy conversion relationship of the wind-hydrogen coupling system is studied,and the energy"time-space translation"mechanism of the wind-hydrogen coupling system is revealed.Considering the benefits of the wind-hydrogen coupling system and the cost of wind curtailment,the wind power bidding and hydrogen energy storage charging and discharging decision models are established.Secondly,taking into account the interests of wind-hydrogen coupling system and independent system operators,a market clearing model with thermal power units and wind-hydrogen coupling system as the main body is established based on Stackelberg game.Finally,aiming at the difficulty of solving the two-layer model,the KKT(Karush-Kuhu-Tucker)condition and strong duality theory are used to transform the bi-level model into a single-level mixed integer programming model which is easy to be solved.The simulation results show that the proposed strategy has played a positive role in the market consumption of high proportion of wind power.
关键词
电力市场/风电/博弈论/氢储能/双层优化调度/竞标策略Key words
power markets/wind power/game theory/hydrogen storage/bi-level optimal scheduling/bidding strategy引用本文复制引用
基金项目
国家自然科学基金(52167010)
云南省基础研究计划(202101AU070015)
云南省人才培养项目(KKSY201904013)
出版年
2024
NETL
NSTL
维普
万方数据