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1.新能源与储能运行控制国家重点实验室(中国电力科学研究院有限公司),北京市 100192
2.国网宁夏电力有限公司,宁夏回族自治区银川市 750001
3.国网宁夏电力有限公司电力科学研究院,宁夏回族自治区银川市 750001
Received:27 January 2021,
Revised:2021-04-06,
Published Online:28 June 2021,
Published:10 September 2021
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许彦平,黄越辉,李湃等.计及优先级及电力平衡的新能源中长期交易电量分解方法[J].电力系统自动化,2021,45(17):117-125.
XU Yanping,HUANG Yuehui,LI Pai,et al.Decomposition Method for Medium- and Long-term Trading Electricity of Renewable Energy Considering Priority and Power Balance[J].Automation of Electric Power Systems,2021,45(17):117-125.
许彦平,黄越辉,李湃等.计及优先级及电力平衡的新能源中长期交易电量分解方法[J].电力系统自动化,2021,45(17):117-125. DOI: 10.7500/AEPS20210127009.
XU Yanping,HUANG Yuehui,LI Pai,et al.Decomposition Method for Medium- and Long-term Trading Electricity of Renewable Energy Considering Priority and Power Balance[J].Automation of Electric Power Systems,2021,45(17):117-125. DOI: 10.7500/AEPS20210127009.
随着新能源发电占比以及参与市场交易的比例不断扩大,新能源发电的随机性和波动性导致现行按照电量平衡、电力校核的中长期交易电量分解方法难以适用于高比例新能源电力系统。文中提出了一种计及交易优先级及电力平衡约束的新能源中长期交易电量优化分解方法。首先,从新能源长时间出力曲线构建、交易电量协调优化分解和多场景模拟计算等方面提出满足新能源随机波动性的中长期交易电量协调优化方法。然后,以促进高比例新能源消纳为目标,计及交易优先级建立基于时序仿真的新能源中长期交易电量优化分解模型,实现新能源年度交易电量分解到月。最后,以中国西北地区某省级电网为例开展实例分析,结果表明所提方法可以确保分解结果的合理性和可执行性。
With the increasing proportion of renewable energy power generation and participation in market trading
due to its randomness and volatility
the current decomposition method for medium- and long-term trading electricity based on the electricity balance and verification is difficult to apply to the power systems with high-proportion renewable energy. In this paper
an optimization decomposition method for medium- and long-term trading electricity considering trading priority and power balance constraints is proposed. First
from the construction of the long-term output curves for the renewable energy
the coordination optimization decomposition for the trading electricity
and multi-scenario simulation calculation
a coordination optimization method for medium- and long-term trading electricity is put forward to deal with the randomness and volatility of the renewable energy. Then
with the goal of promoting the accommodation of high-proportion renewable energy
considering the trading priority
an optimization decomposition model of medium- and long-term trading electricity for the renewable energy based on the time series simulation is established
which realizes the decomposition of annual trading electricity to the month trading electricity for the renewable energy. Finally
case studies are conducted by actual data of a provincial power grid in China. The results show that the proposed method could ensure the reasonableness and enforceability of the decomposition results.
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