新能源分比例渗透下基于博弈的多主体效益综合评估方法

doi:10.12204/j.issn.1000-7229.2022.06.005

电力建设 ›› 2022, Vol. 43 ›› Issue (6): 43-55.doi: 10.12204/j.issn.1000-7229.2022.06.005

• 双碳目标驱动下的能源电力经济与市场机制·栏目主特文福栓教授、刘敦楠教授 • 上一篇下一篇

新能源分比例渗透下基于博弈的多主体效益综合评估方法

刁利¹(), 李光¹(), 宋雪莹²(), 德格吉日夫³(), 谭忠富³()

1.力规划设计研究院有限公司,北京市 100095
2.电力规划设计总院,北京市 100120
3.华北电力大学经济与管理学院,北京市 102206

收稿日期:2021-09-14 出版日期:2022-06-01 发布日期:2022-05-31
通讯作者: 宋雪莹 E-mail:27340315@qq.com;liguang@snpdri.com;gt2017102920200911@126.com;1161340105@ncepu.edu.cn;tanzhongfu@sina.com
作者简介:刁利(1979),女,硕士,高级工程师,从事电力规划、投资咨询和工程设计工作,E-mail: 27340315@qq.com
李光(1980),男,硕士,高级工程师,从事新能源规划和工程设计工作,E-mail: liguang@snpdri.com
德格吉日夫(1987),男,博士,主要从事电网评价、电网投资工作,E-mail:1161340105@ncepu.edu.cn
谭忠富(1967),男,博士,教授,博士生导师,主要从事综合能源系统、能源经济研究工作,E-mail:tanzhongfu@sina.com。
基金资助:
国家自然科学基金项目(72174062)

Comprehensive Evaluation Method Based on Game for Multi-entity Benefit under the Proportional Penetration of New Energy

DIAO Li¹(), LI Guang¹(), SONG Xueying²(), DE Gejirifu³(), TAN Zhongfu³()

1. te Nuclear Electric Power Plannning Design & Research Institute Co., Ltd., Beijing 100095, China
2. China Electric Power Planning & Engineering Institute, Beijing 100120, China
3. School of Economics and Management, North China Electric Power University, Beijing 102206, China

Received:2021-09-14 Online:2022-06-01 Published:2022-05-31
Contact: SONG Xueying E-mail:27340315@qq.com;liguang@snpdri.com;gt2017102920200911@126.com;1161340105@ncepu.edu.cn;tanzhongfu@sina.com
Supported by:
This work is supported by National Natural Science Foundation of China No(72174062)

摘要/Abstract

摘要：

“双碳”目标下新能源大规模发展,新能源的发展给各能源主体带来了影响,如何量化评估新能源渗透给能源主体带来的影响成为研究重点。首先,基于改进的K-means算法构建基于典型场景集的新能源出力模型;然后,从源-网-荷-储出发,构建火力发电商、电网、用户、储能运营商的决策优化模型;其次,构建考虑新能源渗透的多能源主体效益评估模型;最后,进行算例分析,算例结果验证了模型的有效性。

关键词: 新能源, 需求响应, 多主体, 效益评估

Abstract:

Under the “double carbon” target, new energy has been developed on a large scale. The development of new energy has brought an impact on various energy subjects. How to quantitatively evaluate the impact of new energy penetration on energy subjects has become a research focus. Firstly, this paper builds a new energy output model based on a set of typical scenarios applying the improved K-means algorithm. Then, the decision-making optimization model for thermal power generators, power grids, users, and energy storage operators is constructed. Secondly, this paper constructs a benefit evaluation model for multiple energy entities, which considers the penetration of new energy sources. Finally, a numerical example is analyzed, and the result of the numerical example verifies the validity of the model.

Key words: new energy, demand response, multi-entity, benefit evalutation

中图分类号:

TM73

刁利, 李光, 宋雪莹, 德格吉日夫, 谭忠富. 新能源分比例渗透下基于博弈的多主体效益综合评估方法[J]. 电力建设, 2022, 43(6): 43-55.

DIAO Li, LI Guang, SONG Xueying, DE Gejirifu, TAN Zhongfu. Comprehensive Evaluation Method Based on Game for Multi-entity Benefit under the Proportional Penetration of New Energy[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(6): 43-55.

图/表 19

图1 源-网-荷-储博弈框架

Fig.1 Source-grid-load-storage game framework

表1 其余参数

Table 1 Other parameters

图2 初始负荷需求

Fig.2 Initial load demand

表2 算法对比分析

Table 2 Comparison analysis of algorithms

图3 不同聚类数下的聚类效果

Fig.3 Clustering effect under different cluster number

图4 风光出力典型场景1

Fig.4 Typical scenario 1 of wind and photovoltaic output

图5 风光出力典型场景2

Fig.5 Typical scenario 2 of wind and photovoltaic output

图6 风光出力典型场景3

Fig.6 Typical scenario 3 of wind and photovoltaic output

图7 风光出力典型场景4

Fig.7 Typical scenario 4 of wind and photovoltaic output

图8 电网制定的分时电价

Fig.8 Time-of-use tariff

图9 新能源渗透率为60%下机组出力情况

Fig.9 Unit output under new energy penetration rate of 60%

图10 新能源渗透率为70%下机组出力情况

Fig.10 Unit output under new energy penetration rate of 70%

图11 新能源渗透率为80%下机组出力情况

Fig.11 Unit output under new energy penetration rate of 80%

图12 新能源渗透率为90%下机组出力情况

Fig.12 Unit output under new energy penetration rate of 90%

图13 新能源渗透率为100%下机组出力情况

Fig.13 Unit output under new energy penetration rate of 100%

表3 不同渗透率下各主体决策目标值

Table 3 Decision-making target value of each subject under different penetration rate

图14 不同情景下需求响应成本

Fig.14 Demand-response costs in different scenarios

表4 不同渗透率下效益评价指标值

Table 4 Index value under different permeability

Table 5 Sj value, Rj value and Qj value under different permeability

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新能源分比例渗透下基于博弈的多主体效益综合评估方法

Comprehensive Evaluation Method Based on Game for Multi-entity Benefit under the Proportional Penetration of New Energy

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