| 基于利用Aumann-Shapley值分摊网损和排放减少量的DLMP计算研究 |
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| 引用本文： | 陈星莺,郁清云,谢俊,余昆,甘磊.基于利用Aumann-Shapley值分摊网损和排放减少量的DLMP计算研究[J].电力自动化设备,2019,39(4). |
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| 作者姓名： | 陈星莺 郁清云 谢俊 余昆 甘磊 |
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| 作者单位： | 河海大学能源与电气学院,江苏南京,211100;河海大学能源与电气学院,江苏南京,211100;河海大学能源与电气学院,江苏南京,211100;河海大学能源与电气学院,江苏南京,211100;河海大学能源与电气学院,江苏南京,211100 |
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| 基金项目： | 国家重点研发计划项目(2016YFB0901100)；国家自然科学基金资助项目(U1766203)；国家电网公司科技项目(城区用户与电网供需友好互动系统) |
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| 摘 要： | 分布式电源(DG)接入配电网后对系统运行带来影响,提出一种含DG的配电网节点边际电价(DLMP)计算方法。该方法主要包含2个部分:一是通过Aumann-Shapley值法计算网损和排放减少分摊量,得到各DG的有功和无功DLMP值;二是通过迭代计算DG的最优发电出力,保证DG收益的最大化。算例仿真分析表明:基于Aumann-Shapley值分摊的DLMP迭代算法不仅能保证网损和排放减少量在各DG间的公平分摊,还能克服组合爆炸问题;与传统的DLMP计算模型相比,所提出的DLMP计算模型能更大限度地对各DG提供电价激励,减少系统网损和排放量,同时还能实现分摊方案的零销售盈余。
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| 关 键 词： | 电力市场 配电网节点边际电价 Aumann-Shapley值 迭代算法 网损和排放减少量分摊 |
| 收稿时间： | 2018/10/30 0:00:00 |
| 修稿时间： | 2019/1/10 0:00:00 |
DLMP calculation based on power loss and emission reduction allocation using Aumann-Shapley method |
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| CHEN Xingying,YU Qingyun,XIE Jun,YU Kun and GAN Lei.DLMP calculation based on power loss and emission reduction allocation using Aumann-Shapley method[J].Electric Power Automation Equipment,2019,39(4). |
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| Authors: | CHEN Xingying YU Qingyun XIE Jun YU Kun and GAN Lei |
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| Affiliation: | College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China,College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China,College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China,College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China and College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China |
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| Abstract: | Since the integration of DG(Distributed Generation) into distribution network effects the system operation, a DLMP(Distribution Locational Marginal Price) calculation method with DG is proposed, which mainly consists of two parts. In the first part, the allocation amounts of power loss and emission reduction are calculated by Aumann-Shapley method to obtain the active power and reactive power DLMP of each DG. In the second part, the optimal output of DG is iteratively calculated to maximize the DG profit. Case simulation and analysis show that: the proposed method can not only guarantee fair allocation of power loss and emission reduction among each DG, but also conquer the combinational explosion problem; compared with the traditional DLMP calculation model, the proposed model can provide more financial incentives to each DG and reduce system power loss and emission, meanwhile it can also realize zero sales surplus of the allocation scheme. |
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| Keywords: | electricity market distribution locational marginal price Aumann-Shapley method iterative algorithm power loss and emission reduction allocation |
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