考虑风能接入的多场景电网规划及其风险评估
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
电网规划是电网发展的重要依托,其任务是按照规划期间的电源和负荷增长情况,在已有的电网结构基础上,合理选择扩建线路以符合电力系统安全运行和经济性最佳。针对电力市场环境下,更多的不确定性因素将会带来新的挑战,而且随着风电并网,也会给电网规划带来更多的风险。如何处理电力市场环境下的各种不确定性因素,如何评估电网规划的风险因素,如何更好地评价电网规划结果是当下急需解决的问题。
     本文以上述问题作为研究目标,充分总结与吸收前人的研究成果,提出用多场景规划技术处理电力市场环境下的各种不确定性因素,通过对电网的元件可靠性模拟评估电网的风险因素,结合综合经济分析方法得到符合经济性及概率风险性的电网规划方案。
     首先,对电网规划的研究内容和现状进行阐述,从电力供需分析、不确定因素模拟、电网规划方法、电网规划求解方法和风能接入的风险研究现状几个方面进行探讨,提出了本文规划中的处理方法。其次,应用蒙特卡罗理论模拟风电出力功率的波动性,并将它的不确定性因素用多场景技术构造出多个场景,运用遗传算法进行灵活电网规划,求解出三类过负荷率下的5种电网规划方案,再将不同的方案应用到不同的场景进行分析。再次,提出电网风险评估理论,应用元件停运模型分析电网概率风险,并用简单的电网算例阐述风险评估理论。最后,本文通过改进的18节点系统算例进行多场景电网规划,然后对待选规划方案进行风险评估,确定其风险概率及风险费用,综合分析得到符合预期目标的最优电网规划方案。
Planning is vital for the development of power system, mainly aims to choose appropriate circuitry expansion so as to achieve the optimization in the safe operation and economical efficiency of the electric power system. As in the electricity market environment, more uncertainty to the grid planning will bring new challenges, and with new energy access into grid, power grid planning will lead to more risk. How to handle a variety of uncertainties in electricity market environment, how to evaluate risk factors for network planning, and how to better evaluate the results of network planning have become current pressing problems.
     With the fully study and absorbability of the previous results, this paper takes the issue before as a goal and has proposed multi-scenario planning to deal with uncertainties under electricity market environment. Using the component reliability to simulate assessment of the risk factors in grid, combined with comprehensive economic analysis, at last, economic and reliable grid planning is found.
     Firstly, it has described the content and research status of network planning, from several aspects of the power supply and demand analysis, uncertainty modeling, network planning, network programming method and the risk of wind access, and also put approach treatment. Secondly, Monte Carlo simulation is used to the application of wind output power, it takes the wind output power as multiple scenes, which are solved through the genetic algorithm for flexible network planning, then with different scenarios applying to analyze different planning. Thirdly, it has proposed risk assessment theory, which uses components outage model to analysis grid probability risk and a simple example is described. Finally, the changed 18-node system is applied in multi-scenario network planning, the election planning are treatment for risk assessment so as to determine the risk probability and risk costs, at last, the targeted optimal network planning is comprehensively made out.
引文
[1]程浩忠,张焰.电力网络规划的方法与应用[M].上海科学技术出版社,2002.12.
    [2]常伯涛,赵书强,马燕峰.电力市场环境下输电网规划研究综述[J].东北电力技术,2008,1:48-52.
    [3]袁越,吴博文,李振杰,等.基于多场景概率的含大型风电场的输电网柔性规划[J].电力自动化设备,2009,29(10):8-12.
    [4]金华征,程浩忠.电力市场下的电网灵活规划方法综述[J].电力系统及其自动化学报,2006,18(2):10-17.
    [5]麻常辉,杨永军,鄢安河,等.考虑发电和负荷不确定因素的输电网灵活规划[J].电力系统保护与控制,2008,36(21):29-32.
    [6]Wong H, Chao H, Julian D, et al. Transmission planning in a deregulated environment[C]. In: Proceedings of 1999 IEEE power Engineering Society Transmission and Distribution Conference, New Orleans(LA, USA):1990,1:350-355.
    [7]Kwang Y Lee, Suwan Manuspiya, Myeonsong Choi. Network congestion assessment for short-term transmission planning under deregulated environment[C]. IEEE Power Engineering Society Winter Meeting,2001,3:1266-1271.
    [8]Kandi M S, EI-Debeiky S M, Hasanien N E. A hybrid mathematical and rule-based system for transmission network planning in a deregulated environment[C]. Power Engineering Society Summer Meeting,2001:1451-1456.
    [9]Kit Po Wong, Suzannah, Yin Wa Wong. Combined genetic algorithm/simulated annealing/fuzzy set approach to short-term generation scheduling with take-or-pay fuel control[J]. IEEE Transactions on Power Systems,1996,11(1):128-136.
    [10]Yoshikazu Fukuyama, Hsais-Dong Chiang. A parallel genetic algorithm for generation expansion planning[J].IEEE Transactions on Power Systems,1996,11(2):955-961.
    [11]毛玉宾,王秀丽,王锡凡.多阶段输电网最优规划的遗传算法[J].电力系统自动化,1998,22(12):13-15.
    [12]程浩忠,范宏,翟海保.输电网柔性规划研究综述[J].电力系统及其自动化学报,2007,19(1):21-27.
    [13]徐娇,李兴源.异步风电发电机组的简RX模型及其潮流计算.电力系统自动化,2008,32(1):22-25.
    [14]Andres E. Feijoo, Jose Cidras. Modeling of Wind Farms in the Load Flow Analysis[J]. IEEE Transactions on Power Systems, Vol.15, No.1, February 2000.
    [15]韩民晓,崔军立,姚蜀军.大量风电引入电网时的频率控制特性[J].电力系统自动化,2008,32(1):29-33.
    [16]迟永宁.大型风电场接入电网的稳定性问题研究[D].北京:中国电力科学研究院,2006.
    [17]孙涛,王伟胜,戴慧珠.风力发电引起的电压波动和闪变[J].电网技术,2003,27(12):62-66.
    [18]牟涛,夏清,康重庆.电力供需预警指标筛选方法研究[J].电力自动化设备,2008,28(8):23-27.
    [19]梁钟晖.基于多目标理论的输电网络规划方法及北通道输电规划研究[D].北京:北京交通大学,2009.
    [20]于晗,钟志勇,黄杰波,等.考虑负荷和风电出力不确定性的输电系统机会约束规划[J].电力系统自动化,2009,33(2):20-24.
    [21]张焰,陈章潮.不确定性的电网规划方法研究[J].电网技术,1999,22(3):15-22.
    [22]鞠平,李靖霞.配电网模糊优化规划(1)——模型与方法.电力系统自动化,2002,26(14):45-48.
    [23]程浩忠,朱海峰.基于盲数BM模型的电网灵活规划方法[J].上海交通大学学报,2003,37(9):1347-1350.
    [24]徐瑞卿.基于盲数的市场环境下电网规划[D].北京:北京交通大学,2007.
    [25]Van Geert, Edwin. Increased uncertainty a new challenge for power system planners[C]. IEE Colloquium(Digest),1998, n 200:1/1-1/6.
    [26]朱海峰,程浩忠,张焰,等.考虑线路被选概率的电网灵活规划方法[J].电力系统自动化,2000,24(17):20-24.
    [27]程浩忠,朱海峰,马则良,等.基于等微增率准则的电网规划方法[J].上海交通大学学报.2003,37(9):1351-1353.
    [28]Saraiva J Tome. A fuzzy approach to power system planning and power transaction in competitive environment[C]. Proceedings of the IEEE Conference on Decision and Control,1996, 2:2196-2201.
    [29]Cheng Haozhong, Zhu Haifeng, Mariesa L Crow, et al. Flexible method for power network planning using the unascertained number[J]. Electric Power System Research.2004,68(l):41-46.
    [30]Sheikhi El, Farag Ali, Billinton Roy. Load forecast uncertainty considerations in generation unit preventive maintenance scheduling for single system[C]. IEE Conference Publication, 1991,338:241-245.
    [31]Cheng Haozhong, Zhu Haifeng, Mariesa L Crow, et al. Flexible method for power network planning using the unascertained number[J]. Electric Power System Research.2004,68(1):41-46.
    [32]Oloomi Buygi M, Modir Shanechi H, Balzer G, et al. Market based transmission planning under uncertainties[C].8th International Conference on Probabilistic Methods Applied to Power System, Iowa State University, Ames, Iowa, Sept,12-16,2004:563-568.
    [33]徐钟济.蒙特卡罗方法[M].上海科学技术出版社,1985.6.
    [34]周浩,康建伟,陈建华,等.蒙特卡罗方法在电电力市场短期金融风险评估中的应用[J].中国电机工程学报,2004,24(12):74-77.
    [35]高赐威,程浩忠,王旭.考虑场景发生概率的柔性约束电网规划模型[J].中国电机工程学报,2004,24(11):34-38.
    [36]Schilling M T, Leite da Silva A M, Billinton R, et al. Bibliography on power system probabilistic analysis(1962-88)[J]. IEEE Trans on Power Systems,1990,5(1):1-11.
    [37]Leite da Silva A M, Ribeiro S M P, Arienti V L, et al. Probabilistic load flow techniques applied to power system expansion planning[J]. IEEE Trans on Power Systems,1990,5(4): 1047-1053.
    [38]Gorenstin B G, Campodonico N M, Costa J P, et al. Power system expansion planning under uncertainty[J]. IEEE Trans on Power Systems,1993,8(1):129-136.
    [39]张洪明,廖培鸿.输电网规划的灰色模型及算法[J].上海交通大学学报,1995,29(3): 20-26.
    [40]Sun Hongbo, Yu D C. A multiple-objective optimization model of transmission enhancement planning for independent transmission company(ITC)[A]. In:Proceedings of the IEEE Power Engineering Society Summer Meeting[C]. Seattle, USA:2000(4):2033-2038.
    [41]董韬.电网规划项目综合评价研究[D].北京:华北电力大学,2008.
    [42]崔艳妍.电网规划综合评价方法研究与应用[D].天津:天津大学,2008.
    [43]周渝慧,胡文杰,许蔚,刘畅.智能电网——21世纪国际能源新战略[M].清华大学出版社,2009.10.
    [44]关沛.城市电网规划项目的经济性分析[D].天津:天津大学,2008.
    [45]许可.遗传算法在输电网络规划中的应用研究[D].北京:北京交通大学,2006.
    [46]周渝慧,王恩惠,方旭升,等.企业工程经济学[M].中国科学技术出版社,1993.10.
    [47]李渝.输电网规划方案经济评价方法的研究[D].北京:华北电力大学,2007.
    [48]甘斌,余平,李升.改进遗传算法在输电网络规划中的应用研究[J].电力学报,2007,22(3):314-318.
    [49]伍力,吴捷,钟丹虹.多目标优化改进遗传算法在电网规划中的应用[J].电力系统自动化,2000,24(]2):45-48.
    [50]张俊芳,吴军基,康明才,等.“N-1”安全输电网优化规划[J].继电器,2000,28(9):25-27.
    [51]朱福喜,朱三元,伍春香等.人工智能基础教程[M].清华大学出版社,2006.3.
    [52]顾益磊,许诺,王西田.遗传算法应用于电网规划的难点与改进[J].电网技术,2007,31(1):29-33.
    [53]雷英杰,张善文,李续武,等. MATLAB遗传算法工具箱及应用[M].西安电子科技大学出版社,2005.4.
    [54]唐杰斌,周渝慧,陈向婷等.基于遗传算法与蚁群算法的电网规划[J].电力需求侧管理,2011,13(2):12-15.
    [55]熊信银,吴耀武.遗传算法及其在电力系统中的应用[M].华中科技大学出版社,2002.1.
    [56]吴义纯,丁明,张立军.含风电场的电力系统潮流计算[J].中国电机工程学报,2005,25(4):36-39.
    [57]刘岱,庞松龄,刘耀年.含有风电场的电力系统并行潮流分析[J].东北电力大学学报,2010,30(2):26-30.
    [58]何仰赞,温增银.电力系统分析[M].华中科技大学出版社,2002.3.
    [59]李响,张国庆,郭志忠.输电断面潮流的N-1静态安全约束[J].电力自动化设备,2004,24(11):10-13.
    [60]孙元章,程林,刘海涛.基于实时运行状态的电力系统运行可靠性评估[J].电网技术,2005,29(15):6-12.
    [61]姚建刚,肖辉耀,章建.电力安全评估与管理[M].中国电力出版社,2009.8.
    [62]李睍.基于神经网络的电力变压器安全风险分析和评价研究[D].北京:北京交通大学,2008.
    [63]周家启,赵霞.电力系统风险评估方法和应用实例研究[J].中国电力,2006,39(8):77-81.
    [64]杨高峰,康重庆,Furong Li,等.电网规划方案的适应性与风险评估[J].电力系统保护与控制,2008,36(23):1-7.
    [65]赵书强,李聪.城市电网风险指标的获取[J].电力系统保护与控制,2010,38(19):114-117.
    [66]赵书强,李聪.快速配网风险评估[J].电力系统保护与控制,2010,38(10):58-61.
    [67]周家启.电力系统风险评估模型、方法和应用[M].科学出版社,2006.10.
    [68]何国锋.改进的蒙特卡洛法在电力系统可靠性中的应用[D].山东:山东大学,2004.
    [69]杨慎全.考虑风险的输电网优化规划[D].山东:山东大学,2009.
    [70]唐晓玲,李丕意,潘佩芳.基于概率不安全指标的暂态风险评估[J]。电力系统保护与控制,2009,37(11):45-49.
    [71]王成亮,赵渊,周家启,等.基于日发电计划的电力系统运行风险概率评估[J].电力系统自动化,2008,32(4):6-10.
    [72]王锡凡.电力系统规划基础[M].水利电力出版社,1994.10.
    [73]常巍,谢光军,黄朝峰. MATLABR2007基础与提高[M].电子工业出版社。2007.9.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700