采用改进TOPSIS法的中压配电网规划优化
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摘要
随着对配电网建设改造投资力度的加大,合理安排配电网规划项目建设时序,提高投入产出效益成为供电企业亟待解决的问题。传统的配电网项目优选主要依靠人工经验,注重经济性,其他方面考虑不足。对此,综合考虑经济效益和技术效益,建立了分类分阶段项目优选决策方法。基于提出的项目效益评估指标体系,采用改进的TOPSIS(理想解近似偏好排序技术)法评估项目对电网的预期改善效果,并考虑项目关联关系和资金约束,得到最终优选结果。以某城市配电网的实际和规划数据为例,验证了项目优选模型的合理性和可行性。
With the increase of investment on the distribution network construction and reconstruction, it is such an urgency for power supply enterprises to arrange the time sequence of distribution network planning project and improve input and output efficiency. The optimization of traditional distribution network projects mainly relies on human experience, focusing on economy while considering other aspects less. Based on the comprehensive consideration of economic and technological benefits, a classification and phased project optimization method is established in this paper. Based on the proposed project benefit evaluation index system,the improved TOPSIS method is used to evaluate the expected effect of the project on the power grid, and the project relationships and funding constraints are also taken into account. The rationality and feasibility of the project optimization model are verified by taking the actual and planning data of a city distribution network as an example.
With the increase of investment on the distribution network construction and reconstruction, it is such an urgency for power supply enterprises to arrange the time sequence of distribution network planning project and improve input and output efficiency. The optimization of traditional distribution network projects mainly relies on human experience, focusing on economy while considering other aspects less. Based on the comprehensive consideration of economic and technological benefits, a classification and phased project optimization method is established in this paper. Based on the proposed project benefit evaluation index system,the improved TOPSIS method is used to evaluate the expected effect of the project on the power grid, and the project relationships and funding constraints are also taken into account. The rationality and feasibility of the project optimization model are verified by taking the actual and planning data of a city distribution network as an example.
引文
[1]国家发展改革委.国家发展改革委关于加快配电网建设改造的指导意见[Z].2015.
[2]国家能源局.国家能源局关于印发配电网建设改造行动计划(2015-2020年)的通知[Z].2015.
[3]国家电网公司.国家电网公司关于开展10 kV及以下配电网标准化建设改造创建活动的通知[Z].2016.
[4]国务院办公厅.国务院办公厅转发国家发展改革委关于“十三五”期间实施新一轮农村电网改造升级工程意见的通知[Z].2016.
[5]于滢.供电企业电网建设投资优化方法与实施方案研究[D].北京:华北电力大学,2009.
[6]黎灿兵,傅美平,梁锦照,等.基于网络协调程度评估的电网建设项目优化排序方法[J].电力系统保护与控制,2010,38(17):112-120.
[7]葛少云,徐东星,刘洪,等.基于项目库的两阶段项目综合决策优化[J].电力系统保护与控制,2012,40(22):118-128.
[8]宋伶俐,杨军,周博文,等.一种电网基建项目辅助决策方法[J].电力自动化设备,2013,33(6):64-69.
[9]彭定武.中山电网投资优化模型及应用研究[D].广州:华南理工大学,2013.
[10]雷才佳.基于AHP的中低压配电网基建项目优选模型研究[J].机电工程技术,2015,44(12):43-46.
[11]肖峻,谷文卓,郭晓丹,等.配电系统供电能力模型[J].电力系统自动化,2011,35(24):47-52.
[12]Ching-Lai Hwang.Multiple Attributes Decision Making Methods and Applications[M].Berlin:Springer,1981.
[13]胡元潮,阮江军,杜志叶,等.基于TOPSIS法的变电站一次设备智能化评估[J].电力自动化设备,2012,32(12):22-27.
[14]韩亮,王守相,赵歌.基于区间TOPSIS和遗传算法混合的分布式电源优化配置[J].电力系统自动化,2013,37(24):37-42.
[15]李彦斌,于心怡,王致杰.采用灰色关联度与TOPSIS法的光伏发电项目风险评价研究[J].电网技术,2013,37(6):1514-1519.
[16]李晓军,梁纪峰,刘翔宇,等.基于改进灰色关联度与TOPSIS方法的配电网投资评价[J].东北电力技术,2017,38(8):56-59.
[17]穆东.综合排序的双基点法的改进及灵敏度分析[J].系统工程理论与实践,1993(5):33-37.
[18]华小义,谭景信.基于“垂面”距离的TOPSIS法-正交投影法[J].系统工程理论与实践,2004(1):114-119.
[19]陈伟.关于TOPSIS法应用中的逆序问题及消除的方法[J].运筹与管理,2005,14(3):39-43.
[20]李艳凯,张俊容.TOPSIS法应用中的逆序问题[J].科技导报,2008,26(7):47-50.
[21]王先甲,汪磊.基于马氏距离的改进型TOPSIS在供应商选择中的应用[J].控制与决策,2012,27(10):1566-1570.
[2]国家能源局.国家能源局关于印发配电网建设改造行动计划(2015-2020年)的通知[Z].2015.
[3]国家电网公司.国家电网公司关于开展10 kV及以下配电网标准化建设改造创建活动的通知[Z].2016.
[4]国务院办公厅.国务院办公厅转发国家发展改革委关于“十三五”期间实施新一轮农村电网改造升级工程意见的通知[Z].2016.
[5]于滢.供电企业电网建设投资优化方法与实施方案研究[D].北京:华北电力大学,2009.
[6]黎灿兵,傅美平,梁锦照,等.基于网络协调程度评估的电网建设项目优化排序方法[J].电力系统保护与控制,2010,38(17):112-120.
[7]葛少云,徐东星,刘洪,等.基于项目库的两阶段项目综合决策优化[J].电力系统保护与控制,2012,40(22):118-128.
[8]宋伶俐,杨军,周博文,等.一种电网基建项目辅助决策方法[J].电力自动化设备,2013,33(6):64-69.
[9]彭定武.中山电网投资优化模型及应用研究[D].广州:华南理工大学,2013.
[10]雷才佳.基于AHP的中低压配电网基建项目优选模型研究[J].机电工程技术,2015,44(12):43-46.
[11]肖峻,谷文卓,郭晓丹,等.配电系统供电能力模型[J].电力系统自动化,2011,35(24):47-52.
[12]Ching-Lai Hwang.Multiple Attributes Decision Making Methods and Applications[M].Berlin:Springer,1981.
[13]胡元潮,阮江军,杜志叶,等.基于TOPSIS法的变电站一次设备智能化评估[J].电力自动化设备,2012,32(12):22-27.
[14]韩亮,王守相,赵歌.基于区间TOPSIS和遗传算法混合的分布式电源优化配置[J].电力系统自动化,2013,37(24):37-42.
[15]李彦斌,于心怡,王致杰.采用灰色关联度与TOPSIS法的光伏发电项目风险评价研究[J].电网技术,2013,37(6):1514-1519.
[16]李晓军,梁纪峰,刘翔宇,等.基于改进灰色关联度与TOPSIS方法的配电网投资评价[J].东北电力技术,2017,38(8):56-59.
[17]穆东.综合排序的双基点法的改进及灵敏度分析[J].系统工程理论与实践,1993(5):33-37.
[18]华小义,谭景信.基于“垂面”距离的TOPSIS法-正交投影法[J].系统工程理论与实践,2004(1):114-119.
[19]陈伟.关于TOPSIS法应用中的逆序问题及消除的方法[J].运筹与管理,2005,14(3):39-43.
[20]李艳凯,张俊容.TOPSIS法应用中的逆序问题[J].科技导报,2008,26(7):47-50.
[21]王先甲,汪磊.基于马氏距离的改进型TOPSIS在供应商选择中的应用[J].控制与决策,2012,27(10):1566-1570.