月刊
ISSN 1000-7229
CN 11-2583/TM
电力建设 ›› 2024, Vol. 45 ›› Issue (5): 141-149.doi: 10.12204/j.issn.1000-7229.2024.05.014
收稿日期:
2023-11-24
出版日期:
2024-05-01
发布日期:
2024-04-29
通讯作者:
魏震波(1978),男,博士,副教授,研究方向为复杂系统及其理论、电力系统安全稳定分析与控制及电力市场,E-mail:weizhenbo@scu.edu.cn。作者简介:
陶冶(1996),男,硕士研究生,主要研究方向为电力市场;基金资助:
TAO Ye1, WEI Zhenbo1(), LAN Senlin2, SHI Shuang2, SU Penghuan2
Received:
2023-11-24
Published:
2024-05-01
Online:
2024-04-29
Supported by:
摘要:
期货交易存在保证金和强行平仓制度,全市场背景下电力期货交易制度的特殊性在一定程度上影响着发电企业收益。考虑负荷变化,利用电力期货交易规避电价波动造成的发电侧盈亏风险,构建了一种发电企业全市场收益优化模型。首先,搭建含现货、远期合同和期货合约的电力市场交易架构;其次,以发电企业售电收益最大为目标,逐级搭建含现货、远期合同和期货合约的发电企业收益模型,并给出相应求解算法;最后,采用6个发电企业构成的无阻塞电力市场进行仿真模拟,对收益模型的合理性与有效性进行了验证。结果表明:负荷侧波动导致电价明显波动,电力期货的引入能提高电价稳定性,提高发电企业利润,将发电企业利润损失风险转移到期货市场中,并且边际成本越大的发电企业利润提高越明显;在一定的期货与现货电量配比范围内,配比越大,发电企业利润提高越多,但超过范围后,期货保证金利息亏损变多,发电企业利润反而减少。
中图分类号:
陶冶, 魏震波, 兰森林, 史爽, 苏鹏欢. 考虑电力期货交易的发电企业全市场收益优化模型[J]. 电力建设, 2024, 45(5): 141-149.
TAO Ye, WEI Zhenbo, LAN Senlin, SHI Shuang, SU Penghuan. Market-wide Revenue Optimization Model of Power Generation Company Considering Electricity Futures Trading[J]. ELECTRIC POWER CONSTRUCTION, 2024, 45(5): 141-149.
图5 K=20、L(t)取拟合值时月均电价变化百分比
Fig.5 The percentage change in the average monthly electricity price for each month when K=20 and the L(t) is the fitting value
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