摘要
针对自备电厂调峰潜力未得到充分利用,以及发电权中长期双边交易既限制交易规模又容易产生交易偏差,导致清洁能源消纳困难的问题,基于中长期交易,提出考虑清洁能源消纳的多边发电权日内交易机制。在分析传统发电权交易存在的问题的基础上,制定基于多能源综合绩效的多边发电权日内交易原则,构建考虑清洁能源消纳的多边发电权日内交易模式和组织流程;针对自备燃煤、公用燃煤、水电及新能源机组运行特性,给出综合绩效定义及评价模型;以多能源机组交易后综合绩效最优为目标函数,以能源出力特征、发电计划、安全稳定为约束条件,建立多能源日内发电权交易电量优化模型。新疆地区多能源数据算例分析结果验证了所提交易模式的有效性。
In view of the problem that the peaking potential of self-supplied power plants is not fully utilized,and the medium-and long-term bilateral transaction of power generation rights not only restricts the transaction scale but also causes transaction deviation,which leads to the difficulty of clean energy consumption,an intraday transaction mechanism of multilateral power generation rights considering clean energy consumption is proposed based on medium-and long-term transaction.Based on the analysis of problems existing in the traditional generation right transaction,the intraday transaction principle of multilateral power generation rights based on comprehensive performance of multi-energy is established,and the intraday transaction mode and organizational process of multilateral power generation rights are constructed considering clean energy consumption.Aiming at the operation characteristics of self-supplied coal plants,public coal plants,hydropower and new energy units,the comprehensive performance definition and evaluation model are given.An optimization model of multi-energy intraday power generation right transaction is built,which takes the optimal comprehensive performance after multi-energy unit transaction as its objective function,and energy output characteristics,power generation plan,safety and stability as its constraints.The case analysis results of multi-energy data in Xinjiang verify the effectiveness of the proposed transaction mode.
作者
刘闯
李凤婷
晁勤
汪兴浩
LIU Chuang;LI Fengting;CHAO Qin;WANG Xinghao(Renewable Energy Power Generation and Grid Connection Technology Engineering Research Center of the Ministry of Education,Xinjiang University,Urumqi 830047,China;State Grid Xinjiang Electric Power Co.,Ltd.,Urumqi 830002,China;China Ship Heavy Equipment Company,Guangzhou 511470,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2021年第1期92-97,共6页
Electric Power Automation Equipment
基金
国家自然科学基金资助项目(51767023)
新疆维吾尔自治区科技支疆项目(2017E0277)。
关键词
发电权
交易模式
综合绩效
日内交易
优化分配
power generation rights
transaction mode
comprehensive performance
intraday transaction
optimal allocation