摘要
中长期合同电量交易是中国新一轮电改初期主要的交易形式。由于风电的不确定性,中长期合同电量分解面临着巨大的挑战。在此背景下,提出考虑风电不确定性的中长期合同电量分解算法,建立发电成本、电量偏移和碳排放最小的日前电量分解优化模型,并通过归一化加权法将其转化为单目标模型,再通过修正算法解决实际发电量与计划电量的偏差问题。算例表明,该分解算法可在实现节能减排、电量偏差最小的同时,保证分解结果公平可行。
Mid-long term contract energy transaction is the main form of transaction in the early stage of new round electricity reform. Due to the uncertainty of wind power, mid-long term contract energy decomposition faces enormous challenges. To solve this problem, a mid-long term contract energy decomposition algorithm considering the uncertainty of wind power is proposed. An optimization model for a day-ahead energy decomposition with minimum generation costs, power offsets, and carbon emissions is established and transformed into a single-objective model through a normalized weighting method. Then the issue of the deviation between the actual energy generation and the planned energy is solved through an amendment algorithm. As the case study shows, the decomposition algorithm can achieve energy-saving and emission reduction, and minimize the deviation of energy, while ensuring that the decomposition result is fair and feasible.
作者
刘军
龚建荣
孙瑜
夏梓秣
袁超
LIU Jun;GONG Jianrong;SUN Yu;XIA Zimo;YUAN Chao(Economic Research Institute of State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310000,China;Zhejiang Power Exchange Center Co.,Ltd.,Hangzhou 310000,China;College of Electrical and Automation Engineering,Nanjing Normal University,Nanjing 210000,China)
出处
《电力科学与技术学报》
CAS
北大核心
2021年第3期84-91,共8页
Journal of Electric Power Science And Technology
基金
国网浙江省电力有限公司科技项目(5211JY17000W)。
关键词
不确定性
合同分解
滚动修正
节能减排
uncertainty
contract decomposition
rolling amendment
energy-saving and emission reduction
