该文提出一种基于时序仿真的可再生能源消纳措施的量化评估方法。首先分析可再生能源消纳的原理及影响因素,基于时序生产模拟法建立计及外送功率与电化学储能的可再生能源消纳评估模型,并提出分时段优化求解模型的算法;然后基于评估模型提出促进可再生能源消纳措施的量化评估方法,并针对量化评估结果提出各项可再生能源消纳措施的贡献度计算方法;最后,基于中国东北某省级电网进行算例分析,验证该文所提方法的合理性和有效性,为电网制定可再生能源消纳措施提供理论依据。
Abstract
This paper proposes a quantitative assessment method for renewable energy accommodation measures based on time-series simulations. Firstly, by analyzing principle and influencing factors of renewable energy accommodation, we establish a renewable energy accommodation assessment model that takes into account the delivered power and electrochemical energy storage using the time-series production simulation method. Then a segmented optimization algorithm is developed to solve this model. Further, based on the model we present a quantitative assessment method for enhancing the accommodation capacity of renewable energy. Moreover, a method for evaluating the contribution of each measure is obtained according to these quantitative assessment results. Finally, a calculation example based on a provincial power grid in Northeast China is presented to verify the rationality and effectiveness of the proposed method, which provides a theoretical basis for formulating renewable energy accommodation measures.
关键词
可再生能源 /
措施 /
时序分析 /
量化评估 /
贡献度
Key words
renewable energy /
accommodation /
time series analysis /
quantitative assessment /
contribution degree
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] 牛东晓, 李建锋, 魏林君, 等. 跨区电网中风电消纳影响因素分析及综合评估方法研究[J]. 电网技术, 2016, 40(4): 1087-1093.
NIU D X, LI J F, WEI L J, et al.Study on technical factors analysis and overall evaluation method regarding wind power integration in trans-provincial power grid[J]. Power system technology, 2016, 40(4): 1087-1093.
[2] 董昱, 梁志峰, 礼晓飞, 等. 考虑运行环境成本的新能源合理利用率[J]. 电网技术, 2021, 45(3): 900-907.
DONG Y, LIANG Z F, LI X F, et al.Research on reasonable utilization rate of renewable energy considering operational environmental cost[J]. Power system technology, 2021, 45(3): 900-907.
[3] 崔杨, 赵玉, 邱丽君, 等. 改善受端电网调峰裕度的特高压直流外送风火协调调度[J]. 电力系统自动化, 2018, 42(15): 126-132, 219-220.
CUI Y, ZHAO Y, QIU L J, et al. Coordinated scheduling method of wind-thermal power transmitted by UHVDC system for improving peak-shaving margin of receiving-end power grid[J]. Automation of electric power systems, 2018, 42(15): 126-132, 219-220.
[4] 高澈, 牛东晓, 马明, 等. 大规模新能源区域互联消纳能力分析及综合评价方法研究[J]. 中国电力, 2017, 50(7): 56-63.
GAO C, NIU D X, MA M, et al.Accommodating capability analysis and comprehensive assessment method of large-scale new energy areas interconnected[J]. Electric power, 2017, 50(7): 56-63.
[5] 徐帆, 丁恰, 韩红卫,等. 促进跨区新能源消纳的直流联络线功率优化模型及分析[J]. 电力系统自动化, 2017, 41(18): 152-159.
XU F, DING Q, HAN H W, et al.Power optimization model and analysis of HVDC tie-line for promoting integration of inter-regional renewable energy accommodation[J]. Automation of electric power systems, 2017, 41(18): 152-159.
[6] 裴哲义, 王新雷, 董存, 等. 东北供热机组对新能源消纳的影响分析及热电解耦措施[J]. 电网技术, 2017, 41(6): 1786-1792.
PEI Z Y, WANG X L, DONG C, et al.Analysis of impact of CHP plant on renewable energy accommodation in northeast China and thermoelectric decoupling measures[J]. Power system technology, 2017, 41(6): 1786-1792.
[7] 谢国辉, 栾凤奎, 李娜娜, 等. 新能源消纳影响因素的贡献度评估模型[J]. 中国电力, 2018, 51(11): 125-131.
XIE G H, LUAN F K, LI N N, et al.Contribution evaluating model for the new energy accommodation influencing factors[J]. Electric power, 2018, 51(11): 125-131.
[8] 舒印彪, 张智刚, 郭剑波, 等. 新能源消纳关键因素分析及解决措施研究[J]. 中国电机工程学报, 2017, 37(1): 1-9.
SHU Y B, ZHANG Z G, GUO J B, et al.Study on key factors and solution of renewable energy accommodation[J]. Proceedings of the CSEE, 2017, 37(1): 1-9.
[9] 元博, 徐志成, 刘俊, 等. 多区域新能源接纳能力评估模型研究及应用[J]. 中国电力, 2019, 52(12): 132-139.
YUAN B, XU Z C, LIU J, et al.Research and application of multi-area new energy integration capability evaluation model[J]. Electric power, 2019, 52(12): 132-139.
[10] 张振宇, 王文倬, 王智伟, 等. 跨区直流外送模式对新能源消纳的影响分析及应用[J]. 电力系统自动化, 2019, 43(11): 174-181.
ZHANG Z Y, WANG W Z, WANG Z W, et al.Impact analysis and application of cross-region HVDC delivery mode in renewable energy accommodation[J]. Automation of electric power systems, 2019, 43(11): 174-181.
基金
国家自然科学基金面上项目(61971268); 国家电网公司科技项目(52660118001D)