基于全生命周期投入产出效益的电网规划精准投资方法

doi:10.11930/j.issn.1004-9649.201708043

中国电力 ›› 2018, Vol. 51 ›› Issue (10): 171-177.DOI: 10.11930/j.issn.1004-9649.201708043

基于全生命周期投入产出效益的电网规划精准投资方法

张全¹, 代贤忠¹, 韩新阳¹, 靳晓凌¹, 张闻², 陈丹³

1. 国网能源研究院有限公司, 北京 102209;
2. 华北电力大学, 北京 102206;
3. 国网冀北电力有限公司经济技术研究院, 北京 100038

收稿日期:2017-08-09 修回日期:2018-05-20 出版日期:2018-10-05 发布日期:2018-10-12
通讯作者: 代贤忠(1986-),男,通信作者,博士,高级工程师,从事电网安全、电网发展规划、智能电网、电动汽车与充电网络等方面的研究,E-mail:happydxz1@126.com
作者简介:张全(1971-),男,硕士,高级工程师,从事电力调度通信、电网发展规划、电网固定资产投资、智能电网、电动汽车与充电网络、电网本质安全、互联网+新业态新模式的研究,E-mail:zhangquan@sgeri.sgcc.com.cn;韩新阳(1972-),男,硕士,高级工程师,从事城市能源发展、电力市场分析预测、社会节能节电、电力需求侧管理及电力规划、能源与电力消费等研究,E-mail:hanxinyang@sgeri.sgcc.com.cn;靳晓凌(1979-),女,博士,高级工程师,从事配电网自动化及灵活交流输电系统、智能电网发展战略和规划等研究,E-mail:jinxiaoling@sgeri.sgcc.com.cn
基金资助:
国家电网公司科技项目（SGERI04KJ[2015]48）。

An Accurate Investment Method of Power Grid Based on Full Life Cycle Input-Output Benefit

ZHANG Quan¹, DAI Xianzhong¹, HAN Xinyang¹, JIN Xiaoling¹, ZHANG Wen², CHEN Dan³

1. State Grid Energy Research Institute Co., Ltd., Beijing 102209, China;
2. North China Electric Power University, Beijing 102206, China;
3. State Grid Jibei Electric Economic Research Institute, Beijing 100038, China

Received:2017-08-09 Revised:2018-05-20 Online:2018-10-05 Published:2018-10-12
Supported by:
This work is supported by the Science and Technology Project of SGCC (No.SGERI04KJ[2015]48).

摘要/Abstract

摘要： 电网投资建设规模持续增长，迫切需要一种电网规划精准投资方法，提高电网投资的经济效益。提出一种基于全生命周期投入产出效益的电网规划精准投资方法。首先，针对电网规划投资需要解决的不同问题，制定典型的电网规划投资场景，并分为刚性需求场景和弹性需求场景两类，统筹考虑不同场景所侧重的投入产出效益，建立电网规划全生命周期投入产出效益的综合评价指标体系和评价方法；其次，选取6种典型电网规划投资场景，为每种场景制定2种可行的规划方案，对不同规划方案进行全生命周期投入产出效益计算，并按照效益水平对可行方案进行优化比选，得到各种场景下的最优方案，按照优先考虑项目重要性、其次考虑项目投入产出效益的原则对最优方案排序，按照最优方案排序表，逐一安排项目，直到项目投资金额大于总投资计划或者安排完所有项目，得到电网规划投资的项目安排结果，实现电网规划精准投资；最后，结合某省级电网进行实证分析，结果证明该方法具有可行性和实用价值。

关键词: 电网规划, 典型场景, 投入产出效益, 投资约束, 精准投资

Abstract: Power grid construction investment continues to grow and needs accurate investment method in power grid planning to improve economic efficiency. In this paper, a new method of the accurate investment of power grid planning (AIMPGP) based on full life cycle input-output benefits is proposed. First, considering the variety of power grid planning investment application scenarios, different scenarios are compared and selected based on input-output benefits, putting forward a comprehensive benefit evaluation index system and an evaluation method of power grid planning in different application scenarios. Secondly, six kinds of typical power grid planning investment scenario are chosen, and two feasible projects are refined for each scenario. Then, the optimal scheme set is divided into rigid demand and elasticity demand. Specifically, when the plan of investment funds is lower than the total investment demand, the rigid demand-type grid investment plan should be satisfied, and the flexible demand-type projects are arranged from high to low according to the investment efficiency level, until the investment plan of the grid project meets all the requirements. Finally, a provincial power grid is analyzed based on the proposed methods to demonstrate its feasibility and practical value.

Key words: power grid planning, typical scenarios, input-output benefits, investment constraints, accurate investment

中图分类号:

TM715

张全, 代贤忠, 韩新阳, 靳晓凌, 张闻, 陈丹. 基于全生命周期投入产出效益的电网规划精准投资方法[J]. 中国电力, 2018, 51(10): 171-177.

ZHANG Quan, DAI Xianzhong, HAN Xinyang, JIN Xiaoling, ZHANG Wen, CHEN Dan. An Accurate Investment Method of Power Grid Based on Full Life Cycle Input-Output Benefit[J]. Electric Power, 2018, 51(10): 171-177.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201708043

https://www.electricpower.com.cn/CN/Y2018/V51/I10/171

参考文献

[1] 甘德一, 张媛敏, 曾鸣. 电网建设项目投资优化方法研究[J]. 改革与战略, 2009, 25(5):61-63 GAN Deyi, ZHANG Yuanmin, ZENG Ming. Optimization of investment for grid construction projects[J]. Reformation & Strategy, 2009, 25(5):61-63
[2] 寇凌岳, 王婧, 刘娟. 电网建设项目投资优化模型及实施策略研究[J]. 能源技术经济, 2012, 24(4):48-52 KOU Lingyue, WANG Jing, LIU Juan. Research on investment optimization model for power grid construction projects and implementation strategy[J]. Energy Technology and Economics, 2012, 24(4):48-52
[3] 周京龙, 吴向明, 马国真. 基于动态排序的电网投资精准决策建模仿真[J]. 现代电子技术, 2017, 40(23):151-154 ZHOU Jinglong,WU Xiangming,MA Guozhen. Grid investment precise decision-making modeling based on dynamic scheduling and its simulation[J]. Modern Electronics Technique, 2017, 40(23):151-154
[4] 何科雷, 曾鸣, 乔红. 基于系统动力学的电网投资优化模型研究[J]. 陕西电力, 2015, 43(12):62-65 HE Kelei, ZENG Ming, QIAO Hong. Research on power grid investment optimization model based on system dynamics[J]. Shaanxi Electric Power, 2015, 43(12):62-65
[5] 崔文婷, 刘洪, 杨卫红, 等. 配电网投资分配及项目优选研究[J]. 中国电力, 2015, 48(11):149-154 CUI Wenting, LIU Hong, YANG Weihong, et al. Study on distribution network investment allocation and project selection optimization[J]. Electric Power, 2015, 48(11):149-154
[6] 崔巍, 崔莹莹, 杨海峰. 电网专项领域投资决策模型[J]. 电力建设, 2013, 34(10):112-117 CUI Wei, CUI Yingying, YANG Haifeng. Investment decision model in special fields for power grid[J]. Electric Power Construction, 2013, 34(10):112-117
[7] 刘敦楠, 王强, 李鹏, 等. 基于系统动力学的配电网建设项目投资纠偏与优化[J]. 水电能源科学, 2015, 33(12):205-208 LIU Dunnan, WANG Qiang, LI Peng, et al. Correction and optimization of distribution network construction project investment based on system dynamics[J]. Water Resources and Power, 2015, 33(12):205-208
[8] 赵良, 李立理, 何博, 等. 适合我国国情的智能电网评价指标体系及计算方法[J]. 电网技术, 2015, 39(12):3520-3528 ZHAO Liang, LI Lili, HE Bo, et al. Study on smart grid's evaluation index system and calculation method suited to China's situation[J]. Power System Technology, 2015, 39(12):3520-3528
[9] 李蕊. 基于不同商业运营模式的分布式电源/微电网综合效益评价方法[J]. 电网技术, 2017, 41(6):1748-1758 LI Rui. Comprehensive benefit evaluation method of distributed generation/microgrid projects based on different business models[J]. Power System Technology, 2017, 41(6):1748-1758
[10] 孙彦龙, 康重庆, 陈宋宋, 等. 低碳电网评价指标体系与方法[J]. 电力系统自动化, 2014, 38(17):157-162 SUN Yanlong, KANG Chongqing, CHEN Songsong, et al. Low-carbon power grid index system and evaluation method[J]. Automation of Electric Power Systems, 2014, 38(17):157-162
[11] 陈力, 胡钋, 杨德帅, 等. 基于综合权重与TOPSIS法的光伏并网影响综合评价[J]. 中国电力, 2016, 49(4):154-159, 192 CHEN Li, HU Po, YANG Deshuai, et al. A comprehensive weighting and TOPSIS method based assessment on the impact of grid-connected PV generation[J]. Electric Power, 2016, 49(4):154-159, 192
[12] 李正明, 张纪华, 陈敏洁. 基于层次分析法的企业有序用电模糊综合评估[J]. 电力系统保护与控制, 2013, 41(7):136-141 LI Zhengming, ZHANG Jihua, CHEN Minjie. Fuzzy comprehensive evaluation of enterprise's orderly power utility based on analytic hierarchy process[J]. Power System Protection and Control, 2013, 41(7):136-141
[13] 丁明, 过羿, 张晶晶, 等. 基于效用风险熵权模糊综合评判的复杂电网节点脆弱性评估[J]. 电工技术学报, 2015, 30(3):214-223 DING Ming, GUO Yi, ZHANG Jingjing, et al. Node vulnerability assessment for complex power grids based on effect risk entropy-weighted fuzzy comprehensive evaluation[J]. Transactions of China Electrotechnical Society, 2015, 30(3):214-223
[14] 代贤忠, 王阳, 白翠粉, 等. 智能电网功能形态升级需求分析框架与模糊综合评价[J]. 中国电力, 2017, 50(6):158-164 DAI Xianzhong, WANG Yang, BAI Cuifen, et al. Analysis framework and fuzzy comprehensive evaluation of smart grid function and form upgrade needs[J]. Electric Power, 2017, 50(6):158-164
[15] 宋陈澄, 陈培友, 夏宗洋. 基于熵权模糊综合法的煤炭企业安全生产风险评价研究[J]. 煤炭经济研究, 2018, 38(1):26-31 SONG Chencheng, CHEN Peiyou, XIA Zongyang. Study on risk evaluation of safety production in coal enterprises based on entropy weight fuzzy comprehensive method[J]. Coal Economic Research, 2018, 38(1):26-31
[16] 鲁文兵, 陈志鼎, 柯超. 基于熵权-AHP的水库移民风险模糊综合评价模型及应用[J]. 水电能源科学, 2018, 36(1):149-151 LU Wenbing, CHEN Zhiding, KE Chao. Fuzzy comprehensive evaluation model of reservoir resettlement risk based on entropy weight-AHP and its application[J]. Water Resources and Power, 2018, 36(1):149-151
[17] 刘明顺, 赵立进, 黄良, 等. 基于模糊综合评价的电网风险评估分级[J]. 武汉大学学报(工学版), 2017, 50(5):733-737, 800 LIU Mingshun, ZHAO Lijin, HUANG Liang, et al. Power grid risks assessment and classification based on fuzzy comprehensive evaluation[J]. Engineering Journal of Wuhan University, 2017, 50(5):733-737, 800
[18] 吕朋蓬, 赵晋泉, 李端超, 等. 电网运行状态评价指标体系与综合评价方法[J]. 电网技术, 2015, 39(8):2245-2252 LV Pengpeng, ZHAO Jinquan, LI Duanchao, et al. An assessment index system for power grid operation status and corresponding synthetic assessment method[J]. Power System Technology, 2015, 39(8):2245-2252
[19] 袁越, 曹阳, 傅质馨, 等. 微电网的节能减排效益评估及其运行优化[J]. 电网技术, 2012, 36(8):12-18 YUAN Yue, CAO Yang, FU Zhixin, et al. Assessment on energy-saving and emission reduction benefit of microgrid and its operation optimization[J]. Power System Technology, 2012, 36(8):12-18
[20] 陈楷, 黄建勇, 李子韵, 等. 基于改进拉开档次法的配电网经济运行评价[J]. 华东电力, 2014, 42(6):1075-1078 CHEN Kai, HUANG Jianyong, LI Ziyun, et al. Economic operation evaluation for distribution network based on improved scatter degree method[J]. East China Electric Power, 2014, 42(6):1075-1078

基于全生命周期投入产出效益的电网规划精准投资方法

An Accurate Investment Method of Power Grid Based on Full Life Cycle Input-Output Benefit

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	闫志彬, 李立, 阳鹏, 宋蕙慧, 车彬, 靳盘龙. 考虑构网型储能支撑能力的微电网优化调度策略[J]. 中国电力, 2025, 58(2): 103-110.
[2]	董淑文, 刘宝柱, 胡俊杰. 计及线路优化投切限流的含风电电网扩展规划方法[J]. 中国电力, 2023, 56(8): 117-125,142.
[3]	李飞宇, 随权, 林湘宁, 李正天, 魏繁荣. 考虑储电船舶参与的近海海岛灵活供能网络规划[J]. 中国电力, 2022, 55(11): 10-20.
[4]	程智余, 朱晓虎, 李建青. 基于改进ELECTRE法的电网规划投资多准则融合决策方法[J]. 中国电力, 2022, 55(11): 59-65.
[5]	王利利, 王皓, 任洲洋, 孙义豪. 计及灵活资源调节潜力的高压配电网新能源接纳能力评估[J]. 中国电力, 2022, 55(10): 124-131.
[6]	黄碧斌, 胡静, 蒋莉萍, 李琼慧, 冯凯辉, 元博. 中国电网侧储能在典型场景下的应用价值评估[J]. 中国电力, 2021, 54(7): 158-165.
[7]	胡源, 薛松, 杨素, 唐程辉, 梁才, 熊天军. 综合能源背景下的配电网多场景规划[J]. 中国电力, 2021, 54(4): 175-184.
[8]	孔祥玉, 尧静涛, 崔凯, 孙方圆, 杨金刚. 考虑分布式电源接入的区域配电网规划投资决策方法[J]. 中国电力, 2020, 53(4): 41-48.
[9]	何凯, 王剑晓, 王佳伟, 李强, 王尧, 邢亚虹, 钟海旺. 基于全成本电价的电网规划方案评估与优选[J]. 中国电力, 2020, 53(3): 66-75.
[10]	黄河, 高松, 朱磊, 韩俊, 刘鹏翔, 吴志, 顾伟. 考虑多能互补的主动配电网规划与高效Benders求解方法[J]. 中国电力, 2019, 52(6): 11-18.
[11]	杨太华, 陈寅. 基于修正自适应Logistic模型的电力需求饱和预测[J]. 中国电力, 2017, 50(5): 114-120.
[12]	杨文海, 朱静, 高亚静, 程华新, 薛伏申, 王敬敏. 含智能用电信誉度评价的智能用电终端设计[J]. 中国电力, 2016, 49(9): 72-77.
[13]	陈源，王璐，黄友珍，汤清岚，徐玉琴，洪千里，赵蓓蓓. 基于多级可拓评价法的配电网规划经济效益评估模型[J]. 中国电力, 2016, 49(10): 159-164.
[14]	张皓然，顾洁，方陈. 基于网络流的含分布式电源配电网两阶段规划[J]. 中国电力, 2015, 48(9): 31-37.
[15]	娄素华，王亚娟，卢斯煜，吴耀武. 市场环境下考虑风险成本的启发式输电网规划[J]. 中国电力, 2015, 48(7): 76-81.

模态框（Modal）标题

基于全生命周期投入产出效益的电网规划精准投资方法

An Accurate Investment Method of Power Grid Based on Full Life Cycle Input-Output Benefit

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics