摘要
海上风电是未来最有潜力的可再生能源之一,但其出力具有随机性和波动性。为了更好地促进海上风电的市场化消纳,文中基于海上风电商与负荷聚合商间的中长期双边协商交易构建了优化决策模型。首先,通过时间序列相似性评估方法,为目标海上风电寻找最优的用电负荷组合。其次,考虑需求响应备用容量配置和发用电曲线预测误差,构建了基于两阶段分布鲁棒优化的中长期交易优化决策模型,为海上风电配置适应其未来一段时间内出力特性的需求响应资源,并合理调整中长期交易曲线。最后,通过仿真算例验证了所提模型的有效性和实用性。
Offshore wind power is one of the most promising renewable energy sources in the future,but its output has the characteristics of randomness and volatility.To better promote the market-based consumption of offshore wind power,an optimal decision-making model is built based on the medium-and long-term bilateral negotiation transactions between offshore wind power generators and load aggregators.Firstly,through the time-series similarity assessment method,an optimal power consumption load combination is found for the target offshore wind power.Secondly,considering the reserve capacity configuration of the demand response and the forecasting error of the power generation and consumption curve,an optimal decision-making model for medium-and long-term transaction is constructed based on the two-stage distributionally robust optimization to allocate the demand response resources that adapt to the output characteristics of offshore wind power over a future period,and the medium-and longterm transaction curves are reasonably adjusted.Finally,the effectiveness and practicality of the proposed model are verified through the simulation cases.
作者
谢敏
李弋升
董凯元
谢宇星
黄莹
刘明波
XIE Min;LI Yisheng;DONG Kaiyuan;XIE Yuxing;HUANG Ying;LIU Mingbo(School of Electric Power Engineering,South China University of Technology,Guangzhou 510640,China;Guangdong Key Laboratory of Clean Energy Technology(South China University of Technology),Guangzhou 510640,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2024年第14期42-51,共10页
Automation of Electric Power Systems
基金
广东省基础与应用基础研究基金资助项目(2022A1515240074)
广东省重点领域研发计划资助项目(2021B0101230004)。
关键词
海上风电
中长期交易
双边协商
时序曲线匹配
分布鲁棒优化
offshore wind power
medium-and long-term transaction
bilateral negotiation
time-series curve matching
distributionally robust optimization