SNOP优化配置的多维效用并合模型

doi:10.19781/j.issn.16739140.2020.01.009

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SNOP优化配置的多维效用并合模型
DOI:
                        10.19781/j.issn.16739140.2020.01.009
                    
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作者:
                        马 睿马 睿
上海交通大学电子信息与电气工程学院大数据工程技术研究中心，上海 200240
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顾 洁顾 洁
上海交通大学电子信息与电气工程学院大数据工程技术研究中心，上海 200240
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彭虹桥彭虹桥
上海交通大学电子信息与电气工程学院大数据工程技术研究中心，上海 200240
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中图分类号:TM712
基金项目:国家重点基础研究发展计划(2016YFB0900101)

Multiattribute utility mergence model of SNOP optimal allocation

Author:

MA Rui
MA Rui
Department of Electrical Engineering, Research Center for Big Data Engineering and Technologies, Shanghai JiaoTong University, Shanghai 200240 , China
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GU Jie
GU Jie
Department of Electrical Engineering, Research Center for Big Data Engineering and Technologies, Shanghai JiaoTong University, Shanghai 200240 , China
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PENG Hongqiao
PENG Hongqiao
Department of Electrical Engineering, Research Center for Big Data Engineering and Technologies, Shanghai JiaoTong University, Shanghai 200240 , China
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摘要:

智能软开关SNOP的优化配置需要考虑配电网运行效益及投资等多个优化指标，是一个多目标决策问题。因此在多维效用并合法的基础上，首先根据各个优化指标的内在特性及逻辑联系对SNOP的优化配置指标进行效用并合；随后以综合效用值最大为目标，建立SNOP优化配置的多维效用并合模型；最后，以IEEE 33节点系统为例，对所提出的优化模型进行了分析与验证。结果表明，基于多维效用并合法配置SNOP，能够以合理的SNOP安装容量实现系统有功损耗下降，改善系统电压水平及馈线负载平衡度，并能够提高分布式电源的消纳率，实现配电网综合优化运行。

关键词:配电网;分布式电源;SNOP;多维效用并合;效用函数

Abstract:

The optimal allocation of SNOP considering operation efficiency and investment of distribution network is a multiobjective problem. In this paper, a multiattribute utility mergence method is proposed. Firstly, mergence rules are identified to achieve the aggregate utility according to the internal characteristic and logic relation of optimization indexes. Then, a SNOP allocation optimization model is built with the max aggregate utility value as the object. Finally, a case study of IEEE 33bus system is included to verify the effectiveness of the proposed model and method. It is shown that the multiattribute utility method for SNOP allocation can decrease active power losses, improve the system voltage level and load balancing level and increase the distributed generation penetration with a reasonable SNOP capacity.

Key words:distribution network; distributed generation; SNOP; multiattribute utility mergence method; utility function

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引用本文

马睿,顾洁,彭虹桥. SNOP优化配置的多维效用并合模型[J].电力科学与技术学报,2020,35(1):75-82.
MA Rui, GU Jie, PENG Hongqiao. Multiattribute utility mergence model of SNOP optimal allocation[J]. Journal of Electric Power Science and Technology,2020,35(1):75-82.

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