摘要
针对电力现货市场中新能源消纳和调峰机组经济效益难以兼顾的问题,提出新能源-火电双边调峰交易分时博弈竞价模型。首先,对现有电力现货市场出清机制进行改进,建立新能源和火电机组共同参与市场竞价的预出清模型;其次,在预出清出现弃风弃光的背景下,考虑新能源的市场化消纳,提出新能源和火电运营商双边分时调峰交易机制,结合调峰交易主体双方决策的趋利属性,构建基于主从博弈的双边调峰交易分时竞价模型,上层以新能源运营商新增收益最大化为目标,决定分时调峰补偿报价策略,下层火电运营商响应补偿价格激励,权衡新增收益和调峰成本,实现下调峰出力的出清;最后,对3种调度场景进行仿真计算,对比结果表明,所提模型能够有效体现新能源运营商和火电运营商各时段的调峰交易意愿,在电力现货市场中实现调峰资源供需平衡,促进新能源市场化消纳的同时补偿火电机组调峰费用,保证调峰交易的健康发展。
In view of the difficulty of taking into account the economic benefits of new energy and peaking units in power spot market,a time-sharing game bidding model of bilateral peaking transaction between new energy and thermal power is proposed.Firstly,the existing power spot market clearing mechanism is improved,and the pre-clearing model of new energy and thermal power units participating in market bidding is established.Secondly,considering the market consumption of new energy in the context of the abandonment of wind and light in pre-clearing,a bilateral time-sharing peak-trimming trading mechanism for new energy and thermal power operators is proposed,and a time-sharing bidding model for bilateral peak-trimming trading based on the master-slave game is constructed,with the upper level aiming at maximizing the new income of new energy operators.The pricing strategy of time-sharing peak-load compensation is determined.The lower level thermal power operators respond to the incentive of compensation price,weigh the new income and the cost of peak-load,and realize the clearing of the lower peak-load output.Finally,three scheduling scenarios are simulated and calculated,and the comparison results show that the proposed model can effectively reflect the peak regulation trading intentions of new energy operators and thermal power operators at different periods,achieve the balance between supply and demand of peak regulation resources in the power spot market,promote the market-oriented consumption of new energy,and compensate the peak regulation costs of thermal power units to ensure the healthy development of peak regulation transactions.
作者
赵书强
宋金历
王傲儿
李志伟
Zhao Shuqiang;Song Jinli;Wang Aoer;Li Zhiwei(Key Laboratory of Distributed Energy Storage and Microgrid of Hebei Province(North China Electrical Power University),Baoding 071003,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2024年第10期153-161,共9页
Acta Energiae Solaris Sinica
基金
河北省自然科学基金(E2020502066)
中央高校基本科研业务费专项资金(2023MS099)。
关键词
可再生能源
电力市场
博弈论
调峰
竞价模型
renewable energy
power markets
game theory
peak shaving
bidding model