面向低碳发展的电网规划新模式

doi:10.3969/j.issn.1000-7229.2015.10.013

摘要/Abstract

摘要：

实施面向低碳发展的电网规划，是电网企业乃至电力系统应对“碳锁定”效应，实现向低碳化转型的重要基础。从时空两维度全面分析了电网规划中的低碳要素；在常规电网规划流程的基础上，分析了低碳电网规划的新模式，研究了低碳要素的引入对电网规划流程中各环节的影响；在此基础上，结合我国电力工业的禀赋特点及发展现状，为我国电网的低碳化规划提出了建议。

关键词: 低碳电力, 碳排放, 电网规划, 规划流程

Abstract:

The implementation of power grid planning facing low-carbon development is important basis for power grid enterprises and power industry to deal with the carbon lock-in effect and achieve the transition to the low-carbon power system. The low-carbon factors of power grid planning were firstly analyzed comprehensively from both the space and time dimension. Based on the process of conventional power grid planning, the novel mode of low-carbon power grid planning was analyzed, and the influences of the low-carbon factors on the power grid planning process were studied in detail. On this basis, some suggestions were proposed for the low-carbon power grid planning based on the characteristics and development status of the power industry in China.

Key words: low-carbon electricity, carbon emission, power gird planning, planning process

中图分类号:

TM 715

路畅，孟繁骏，罗金山. 面向低碳发展的电网规划新模式[J]. 电力建设, 2015, 36(10): 88-92.

LU Chang，MENG Fanjun，LUO Jinshan. Novel Power Grid Planning Mode Facing Low-Carbon Development[J]. ELECTRIC POWER CONSTRUCTION, 2015, 36(10): 88-92.

参考文献

［1］康重庆，陈启鑫，夏清．低碳电力技术的研究展望［J］．电网技术，2009，33（2）：1-7．Kang Chongqing， Chen Qixin， Xia Qing.Prospects of low-carbon electricity［J］.Power System Technology,2009,33（2）:1-7.
［2］王锡凡. 电力系统规划基础［M］. 北京:中国电力出版社, 1994: 127-135．
［3］娄素华，卢斯煜，吴耀武，等．低碳电力系统规划与运行优化研究综述［J］．电网技术，2013，06：1483-1490.
Lou Suhua,Lu Siyu,Wu Yaowu, et al.An overview on low-carbon power system planning and operation optimization［J］.Power System Technology,2013（6）:1483-1490.
［4］Kazerooni A K, Mutale J. Transmission network planning under security and environmental constraints［J］. Power Systems, IEEE Transactions on, 2010, 25（2）: 1169-1178.
［5］Lu S, Wu Y, Lou S, et al. A model for power system transmission network expansion planning under low-carbon economy［C］//Power and Energy Society General Meeting （PES）, 2013 IEEE. IEEE, 2013: 1-5.
［6］Sadegheih A. A novel formulation of carbon emissions costs for optimal design configuration of system transmission planning［J］. Renewable Energy, 2010, 35（5）: 1091-1097.
［7］曾鸣,吕春泉,邱柳青等. 风电并网时基于需求侧响应的输电规划模型［J］. 电网技术, 2011, 35（4）: 129-134.
Zeng Ming, Lü Chunquan,Qiu Liuqing, et al. A demand-side response-based transmission planning model with grid-connected wind farms［J］.Power System Technology,2011（4）:129-134.
［8］Zeng B, Zhang J, Yang X, et al. Integrated planning for transition to low-carbon distribution system with renewable energy generation and demand response［J］. Power Systems, IEEE Transactions on, 2014, 29（3）: 1153-1165.
［9］丁然, 康重庆, 周天睿,等. 低碳电网的技术途径分析与展望［J］. 电网技术, 2011, 35（10）:1-8.
Ding Ran,Kang Chongqing, Zhou Tianrui, et al.Analysis and prospect on technical approaches for low carbon power grid［J］.Power System Technology,2011,35（10）:1-8.
［10］Dong X, Kang C, Zhang N, et al. Estimating life-cycle energy payback ratio of overhead transmission line toward low carbon development［J］. Journal of Modern Power Systems & Clean Energy, 2014（3）:123-130.
［11］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.
［12］张少辉. 河南省能效管理与政策执行体系建设研究［D］.郑州：郑州大学,2012.
Zhang Shaohui. Establish energy efficiency management and policy implementation system in Henan province［D］. Zhengzhou： Zhengzhou University, 2012.
［13］宋毅, 欧阳邵杰, 王旭阳,等. 考虑需求侧资源的新型电网规划模式［J］. 电力建设, 2013, 34（11）:12-16.
Song Yi, Ouyang ShaoJie, Wang Xuyang et al.New power grid planning model with considering demand side resources［J］.Electric Power Construction,2013，34（11）:12-16.
［14］郭飞,王智冬,王帅,等. 我国风电消纳现状及输送方式［J］. 电力建设,2014,35（2）:18-22.
Guo Fei,Wang Zhidong, Wang Shuai, et al.Consumption situation and transmission modes of wind power in China［J］.Electric Power Construction,2014，35（2）:18-22.
［15］周黎莎. 智能电网低碳效益关键指标选取与评价模型研究［D］.北京：华北电力大学,2013.
Zhou Lisha. Research on key indicators selecting of low-carbon benefit of smart grid and its evaluation models［D］. Beijing: North China Electric Power University, 2013.
［16］王文静. 智能电网低碳效益评价及应用研究［D］.北京：华北电力大学,2012.
Wang Wenjing. Research on smart grid low carbon benefit assessmentand application［D］. Beijing: North China Electric Power University, 2012.

[1]	黄家祺，张宇威，贺继锋，颜炯，朱旭，杨军. 一种考虑极限场景的配电网鲁棒扩展规划方法[J]. 电力建设, 2020, 41(7): 67-74.
[2]	芮松华，刘海璇，王洪波，尹德扬，梅飞. 基于遗传-蚁群算法的交直流配电网分布式电源优化配置[J]. 电力建设, 2019, 40(4): 9-17.
[3]	王晞，苟竞，苏韵掣，杨新婷，欧阳雪彤，李奥，樊金柱，李华强. 基于联合加权熵的高比例可再生能源电网适应性扩展规划[J]. 电力建设, 2019, 40(12): 45-54.
[4]	施鹏佳，雷勇，张林垚，王秋琳，刘心，唐滢淇，董树锋. 具有可行域内Steiner点寻优能力的配电网网架规划方法[J]. 电力建设, 2019, 40(12): 104-112.
[5]	闫园，林鸿基，文福拴，龚建荣，李道强，陈成. 考虑电价和碳价间Copula风险依赖的虚拟电厂竞标策略[J]. 电力建设, 2019, 40(11): 106-115.
[6]	崔树银，陆奕，常啸. 考虑信用评分机制的电力碳排放交易区块链模型[J]. 电力建设, 2019, 40(1): 104-111.
[7]	赖清平，吴志力，崔凯，张红斌，金强，潘尔生 . 微电网规划设计关键技术分析与展望 [J]. 电力建设, 2018, 39(2): 18-.
[8]	刘祚宇，齐峰，文福拴，张西竹，王蕾. 含电动汽车虚拟电厂参与碳交易时的经济与环境调度[J]. 电力建设, 2017, 38(9): 45-.
[9]	贺继锋, 杜治，黄家祺，方仍存，周玉洁，刘源，杨军. 考虑储能站投资收益的配电网规划模型 [J]. 电力建设, 2017, 38(6): 92-.
[10]	欧阳邵杰，曾博，邱泽晶，史慧，李源非. 面向用户差异化需求的智能配电网综合资源优化规划和配置方法[J]. 电力建设, 2017, 38(2): 38-.
[11]	张雪松，周旋，李卓，周金辉，徐琛，陈冲，李正天，林湘宁. 面向能源互联网的未来配电网优化规划[J]. 电力建设, 2017, 38(2): 45-.
[12]	李婷，叶希，唐权，王云玲，瞿小斌，文云峰. 基于交替方向乘子法的源网协同多适应规划[J]. 电力建设, 2017, 38(11): 105-.
[13]	刘利平，彭波，顾熹，刘晟，陈聪，廖志伟. 计及资产全生命周期的电网规划方案比选[J]. 电力建设, 2016, 37(9): 101-.
[14]	刘开俊，李隽，罗金山，高艺. 同步电网发展趋势与中国能源互联网发展研究[J]. 电力建设, 2016, 37(6): 1-9.
[15]	张红斌，吴志力，方陈，程啸. 智能配电网全寿命周期低碳仿真与评估研究[J]. 电力建设, 2016, 37(6): 142-150.