不同电压等级城市电力网网架多目标规划研究
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摘要
城市电力网(简称城网)通常由多个不同电压等级的网络组成。文中根据城市输电网、高压配电网和中压配电网网架的特点和规划中的要求,提出与之相适应的先进的多目标规划方法。其中,中压配电网是提高最终用户供电可靠性的关键,也是当前城网规划研究的重点,因此文中进一步研究了提高用户供电可靠性的新思路对中压配电网网架规划的影响。主要工作有:
     (1)提出城市输电网网架结构与分区方式的两层多目标联合规划方法。分析联合规划所涉及各方面问题的相互关系,在此基础上构建两层多目标联合规划模型。根据联合规划的物理意义设定问题求解的前提条件,从而将两层多目标规划问题的求解转化为单层多目标优化问题的求解。设计多目标遗传算法(Multiobjective GA,MOGA)的关键环节,使其在求解转化后的单层多目标优化问题的同时,逐渐形成接近原有两层多目标规划问题有效解集的一组解。
     (2)提出考虑负荷模糊不确定性的“手拉手”高压配电网网架多阶段多目标规划方法。使用等三角模糊数表示负荷预测值,并建立高压配电网网架多阶段多目标模糊规划模型。根据“手拉手”网架在分阶段规划中的特点及某一规划阶段各规划目标值的计算,得到各阶段优化目标的加权和,作为规划方案的评价指标。在MOGA的相关环节使用等三角模糊数的运算法则和基于满意度的模糊数大小比较与排序方法,使MOGA能够适用于模糊规划模型的求解。
     (3)提出基于组件式地理信息系统(Component GIS,ComGIS)网络分析功能与MOGA的城市中压配电网网架规划方法。通过ComGIS平台建立规划区域的网络数据集,在此基础上使用MOGA进行优化。利用ComGIS平台的网络分析功能优化单环最优路径,解决了遗传算法与地理信息结合时出现的网架编码复杂、进化算子效率低下的问题。利用基于Pareto秩的个体适应度函数引导MOGA的进化方向,最终得到接近多目标优化问题Pareto最优解集的一组两端供电网架方案。
     (4)研究基于绩效的(Performance Based Rate,PBR)可靠性管理模式对城市中压配电网网架多目标规划的影响,并对两种模式的作用进行比较,以找到其各自的适用场合。设定统一的可靠性电价-奖惩机制和可靠性指标参考值,在此基础上制定PBR可靠性管理模式的标准。根据规划网架供电可靠性指标的概率分布特性得到供电公司面临的奖惩风险指标,进而建立PBR可靠性管理模式下的中压配电网网架多目标规划模型。
     (5)研究分布式供电系统(Distributed Power System,DPS)对城市中压配电网网架多目标规划的影响。将DPS作为提高重要用户供电可靠性的措施,纳入中压配电网网架的统一规划中:提出DPS的运行方式及其在中压配电网网架规划建模中的处理方式;提出含DPS的中压配电网规划方案缺电成本计算方法,在此基础上建立含DPS的中压配电网网架多目标规划模型,并分析当前DPS建设中的不确定性问题及其对规划模型的影响。
     各章通过实际电力网规划算例来验证不同电压等级电力网网架多目标规划方法的有效性;并使用实际配电网规划结果分析了PBR可靠性管理模式与DPS对中压配电网网架规划的影响。
Urban electric network usually includes several networks with different voltage grades. In this paper, according to their individual characteristics and different requirements in planning, the multiobjective planning methods for the structure of transmission network, High-Voltage (HV) distribution network, and Medium-Voltage (MV) distribution network are proposed. Among these, MV distribution network is the key of improving power supply reliability of the final customers, also is the emphasis of urban electric network planning research presently; therefore, the effects of new ideas that improving power supply reliability on MV distribution network structure planning are explored further. The following researches have been developped:
     (1) A united planning method for the network structure and partition mode of urban transmission network is proposed. The bilevel multiobjective united planning model is formulated, which is solved by a sepecial designed Multiobjective Genetic Algorithm (MOGA). Precondition of the solution is assumed, based on which the solution of the bilevel multiobjective model could be transferred to the solution of a corresponding single level multiobjective one. Key steps of the MOGA are designed, and the efficient solution set of the bilevel multiobjective problem could be formed with the solution of the corresponding single level problem.
     (2) A planning method for“hand in hand”urban HV distribution network structure is proposed. Power load forecasting values are presented as the equilateral triangular fuzzy numbers, and the multistage multiobjective fuzzy planning model is formulated. The characteristics of“hand in hand”network structure in multistage planning are explored, and then the optimization objectives in multistages planning are obtained, serving as the evaluation indices of the planning schemes. The arithmetic, comparison, and order criterions of triangle fuzzy numbers are explored, which make the MOGA applicable for solving the fuzzy planning model.
     (3) A method based on ComGIS network analysis and MOGA is proposed for the open-loop MV distribution network structure planning. The multiobjective planning model of open-loop MV distribution network structure is constructed. And a special MOGA is designed based on the network dataset built by ComGIS platform. The network analysis function of the ComGIS is embedded in the MOGA to find the single-loop optimal paths, which improves the efficiency of evolutionary coding and operators obviously. Finally, the Pareto Optimal Set (POS) of the multiobjective planning problem is obtained, including several candidate planning schemes.
     (4) The effects of Performance Based Regulation (PBR) reliability government modes on the multiobjective planning of urban MV distribution network structure are researched, and two modes are compared to find their individual applicable environment. The uniform reliability power price-compensation mechanism and reliability indices reference values are designed, and then the standards of the two PBR modes are established. The financial risk of the electric utility is obtained according to the probabilistic characteristic of power supply reliability indices. Then the MV distribution network structure multiobjective planning model under PBR reliability government is constructed.
     (5) The effects of Distributed Power System (DPS) on the multiobjective planning of urban MV distribution network structure are researched. Being treated as the measure of improving power supply reliability of the important customers, DPS are included in the uniform planning of MV distribution network structure: two operation modes are proposed for DPS connected in the MV distribution network, and the processing mode for DPS in the modeling of distribution network planning is presented; the outage cost calculation method for distribution network including DPS is proposed, based on which the multiobjective planning model is constructed. And the uncertain problems in DPS constructing and their effects on the planning model are analysed.
     Practical networks are selected to test the effectiveness of the structures planning methods for the different voltage grades networks. And the effects of PBR reliability government modes and DPS on MV distribution network structure planning are analysed through the planning results of the practical distribution network.
引文
[1]戎华.在碰撞融合中构思城网——南京城市电网规划国际咨询纪略[J].国家电网,2007,1:66-68.
    [2] DL 755-2001,电力系统安全稳定导则[S].中国电力出版社.2001年.
    [3]阮前途.确保上海电网安全运行的若干思考[J].电网技术,2005,29(22):7-13.
    [4]杨丽徙,王家耀,贾德峰,等.GIS与模糊模式识别理论在变电站选址中的应用[J].电力系统自动化,2003,27(18):87-89.
    [5]杨丽徙,朱向前,陈根永,等.基于Voronoi图的变电站优化规划方法[J].电力系统及其自动化学报.2006,18(5):10-13.
    [6]邱丽萍,范明天.城市电网最大供电能力评价算法[J].电网技术,2006,5(30):68-71.
    [7]王成山,王赛一.基于空间GIS的城市中压配电网络智能规划[J].电力系统自动化,2004,28(5):45-50.
    [8]许童羽.农村配电网络GIS平台设计及基于目标管理的供电可靠性研究[D].沈阳农业大学,博士学位论文,2006年.
    [9] Richard E B,James J B.Managing the risk of performance based rates[J].IEEE Transctions on power systems,2000,15(2):893-898.
    [10] Billinton R,Cui L,Pan Z.Quantitative reliability considerations in the determination of performance-based rates and customer service disruption payments[J].IEE Proceedings: Generation, Transmission and Distribution,2002,149(6):640-644.
    [11]周平,谢开贵,周家启,等.适应电力市场运营环境的可靠性电价与赔偿机制[J].电力系统自动化,2004,28(21):6-11.
    [12] Chowdhury A A,Koval D O.Value-based distribution system reliability planning[J].IEEE Transactions on Industry Applications,1998,34(1):23-29.
    [13]王敏,丁明.含分布式电源的配电系统规划[J].电力系统及其自动化学报,2004,16(6):87-89.
    [14]王成山,陈凯,谢莹华,等.配电网扩展规划中分布式电源的选址和定容[J].电力系统自动化,2006,30(3):38-43.
    [15]刘传铨,张焰.计及分布式电源的配电网供电可靠性[J].电力系统自动化,2007,31(22):46-49.
    [16] Tang Y . Power distribution system planning with reliability modeling and optimization[J].IEEE Transactions on Power System,1996,11(1):181-189.
    [17]金华征,程浩忠,杨晓梅,等.模糊集对分析法应用于计及ATC的多目标电网规划[J].电力系统自动化,2005,29(21):45-49.
    [18]王何舟,顾洁,张颖,等.基于集对分析的中压配电网网架优化规划[J].华东电力,2008,36(8):28-33.
    [19]刘思革,程浩忠,崔文佳.基于粗糙集理论的多目标电网规划最优化模型[J].中国电机工程学报,2007,27(7):65-69.
    [20]王赛一,王成山.基于多目标模型的城市中压配电网络规划[J].中国电力,2006,39(11):46-50.
    [21] Ramirez-Rosado I J,Bernal-Agustin J L.Reliability and costs optimization for distribution networks expansion using an evolutionary algorithm[J].IEEE Transactions on Power Systems,2001,16(1):111-118.
    [22]王一,程浩忠.计及输电阻塞的帕累托最优多目标电网规划[J].中国电机工程学报,2008,28(13):132-138.
    [23]孔涛,程浩忠,许童羽.基于组件式GIS网络分析与多目标遗传算法的城市中压配电网规划[J].中国电机工程学报,2008,28(19):49-55.
    [24] Bracken J,McGill J M.Mathematical programs with optimization problems in the constraints[J].Operations Research,1973,21:37-44.
    [25] Bracken J,McGill J M.A method for solving mathematical programs with nonlinear problems in the constraints[J].Operations Research,1974,22:1097-1101.
    [26]万仲平,肖昌育,王先甲,等.不确定市场下的一种二层规划最优竞价模型[J].电力系统自动化,28(19):12-16.
    [27]王淑芬,万仲平,樊恒,等.基于二层规划的无功优化模型及其混和算法[J].电网技术,29(9):22-25.
    [28] Tarjei K . Merchant transmission expansion based on financial transmission rights[J].Proceedings of the 38th Hawaii International Conference on System Sciences,2005:1-10.
    [29]范宏,程浩忠,金华征,等.考虑经济性可靠性的输电网二层规划模型及混合算法[J].中国电机工程学报,2008,28(16):1-7.
    [30]徐泽水.不确定多属性决策方法及应用[M].清华大学出版社,2004年.
    [31]程浩忠,高赐威,马则良,等.多目标电网规划的分层最优化方法[J].中国电机工程学报,2003,23(10):11-16.
    [32] Silva I J,Rider M J,Romero R.Transmission Network Expansion Planning Considering Uncertainty in Demand.IEEE Transactions on Power Systems,2006,21(4):1565-1573.
    [33]孙洪波,徐国禹,秦翼鸿,等.电网规划的模糊随机优化模型.电网技术,1996,20(5):4-7.
    [34]鞠平,李靖霞.配电网模糊优化规划(Ⅰ)——模型与方法[J].电力系统自动化,2007,26(14):45-48.
    [35] Ramirez-Rosado I J,Dominguez-Navarro J A.Possibilistic model based on fuzzy sets for the multiobjective optimal planning of electric power distribution networks[J].IEEE Transactions on Power Systems,2004,19(4):1801-1810.
    [36] Aoki K,Nara K,Satoh T,et al.New approximate optimization method for distribution system planning[J].IEEE Transactions on Power Systems,1990,5(1):126-132.
    [37] Nara K,Satoh T,Kuwabara H,et al.Distribution systems expansion planning by multi-stage branch exchange[J].IEEE Transactions on Power Systems,1992,7(1):208-214.
    [38]张焰,陈章潮,李永腾.电网规划中最小模糊缺负荷量计算方法[J].上海交通大学学报,1999,33(4):492-494.
    [39]符卫星,刘肇旭,徐博文.安全割集与输电网络规划[J].电网技术,1994,18(2):6-9.
    [40] Adams R N,Laughton M A.Optimal planning of networks using mixed-integer programming[J].Proceedings of the IEE,1974,121(2):139-148.
    [41]康庆平,周雷.一个实用的配电网优化规划方法[J].电网技术,1994,18(6):39-43.
    [42]朱海峰.不确定性信息的电网灵活规划方法[D].上海交通大学,博士学位论文,2000年.
    [43] Partenen J.A modified dynamic programming algorithm for sizing locating and timing of feeder reinforcements[J].IEEE Transactions on Power Delivery,1990,5(1):277-283.
    [44] Sun D I,Farris D R,Cote P J,et al.Optimal distribution substation and primary feeder planning via the fixed charge network formulation[J],IEEE Transactions on Power Apparatus and Systems,1982,101(3):602-608.
    [45] El-Kady M A . Computer-aided planning of distribution substation and primary feeders[J].IEEE Transactions on Power Apparatus and Systems,1984,103(6):1183-1189.
    [46]岑文辉,赵庆,戴文祥.遗传算法及在电网规划中的应用[J].电力系统及其自动化学报,1995,7(2):1-9.
    [47]王秀丽,王锡凡.遗传算法在输电系统规划中的应用[J].西安交通大学学报,1995,29(8):1-9.
    [48] Gallego R A,Monticelli A,Romero R.Transmission system expansion planning by an extended genetic algorithm[J] , IEE Proceedings: Generation, Transmission and Distribution,1998,145(3):329-335.
    [49]张俊芳,王秀丽,王锡凡.遗传算法在电网规划应用中的改进[J].电网技术,1997,32(4),25-27.
    [50] Diaz-Dorado E,Cidras J,Miguez E.Application of evolutionary algorithms for the planning of urban distribution networks of medium voltage[J].IEEE Transactions on Power Systems,2002,17(3):879-884.
    [51] Gregory L,Shmuel M T,David E.Genetic algorithm for open-loop distribution system design[J].Electric Power Systems Research,1995,32(2):81-87.
    [52] Carvalho P M S,Ferreira L A F M,Lobo F G,et al.Distribution network expansion planning under uncertainty:a hedging algorithm in an evolutionary approach[J].IEEE Transactions on Power Delivery,2000,15(1):412-416.
    [53]倪秋龙,黄民翔.基于支路交换的模拟退火算法在配电网规划中的应用[J].电力系统及其自动化学报,2000,12(4):31-35.
    [54]顾洁,陈章潮,包海龙.混合遗传-模拟退火算法在电网规划中的应用[J].上海交通大学学报,1999,33(4):485-487.
    [55]翟海保,程浩忠,陈春霖,等.基于改进蚁群算法的输电网络扩展规划[J].中国电力,2003,36(12):49-52.
    [56]翟海保,程浩忠,吕干云,等.多阶段输电网络最优规划的并行蚁群算法[J].电力系统自动化,2004,28(20):37-42.
    [57] Ren P,Gao L Q,Li N,et al.Transmission network optimal planning using the particle swarm optimization method[J].Proceedings of 2005 International Conference on Machine Learning and Cybernetics,2005,7,4006-4011.
    [58]金义雄,程浩忠,严健勇,等.基于并行协同粒子群算法的多阶段电网规划[J].中国电机工程学报,2005,25(25):49-53.
    [59]杨期余,潘力强.应用于城网规划中的新算法—Tabu搜索[J].电力自动化设备,2001,21(12):9-12.
    [60] Wen F S,Chang C S.Transmission network optimal planning using the tabu search method[J].Electric Power Systems Research,1997,40(1):63-73.
    [61]赖红松,董品杰,祝国瑞.求解多目标规划问题的Pareto多目标遗传算法[J].系统工程,2003,21(5):48-51.
    [62] Cheng F Y , Li D . Multiobjective optimization design with Pareto genetic algorithm[J].Journal of Structural Engineering,1997,123(9):1252-1261.
    [63] Mendoza F,Bernal-Agustin J L,Dominguez-Navarro J A.NSGA and SPEA applied to multiobjective design of power distribution systems[J].IEEE Transactions on Power Systems,2006,21(4):1938-1945.
    [64]李锋.多目标演化算法及在优化问题中的应用[D].武汉理工大学,硕士学位论文,2004年.
    [65]金义雄,程浩忠,严健勇,等.改进粒子群算法及其在输电网规划中的应用[J].中国电机工程学报,2005,25(4):46-50.
    [66]金华征,程浩忠,曾德君,等.基于集对分析的柔性电网规划方法[J].中国电机工程学报,2006,26(3):7-12.
    [67]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(12):45-48.
    [68]王秀丽,李淑慧,陈皓勇,等.基于非支配遗传算法及协同进化算法的多目标多区域电网规划[J].中国电机工程学报,2006,26(12):11-15.
    [69]刘红英.多层规划和多目标规划的讨论[J].应用数学,2005,15:186-190.
    [70]杨亚红.二层规划的性质与算法[D].西安电子科技大学,硕士学位论文,2000年.
    [71] Marcotte P,Savard G.A note on the pareto optimality of solutions to the bi-level programming problem[J].Computers and Operations Research,1990,17:355-358.
    [72] Margareta S . A note on efficient solutions for the linear bi-level programming problem[J].European Journal of Operational Research,1999,112:427-431.
    [73] White D J.Multilevel programming, rational reaction sets, and efficient solutions[J].Journal of Optimization Theory and Applications,1995,87(3):727-746.
    [74]卢志义,徐裕生,马春晖.完全分层多目标规划的基线算法[J].运筹与管理,2004,13(4):50-54.
    [75] Wen U P,Yang Y H.Algorithms for solving the mixed integer two-level linear programming problem[J].Computers and Operations Research,1990,17:133-142.
    [76] Jan R H,Chern M.Nonlinear integer bilevel programming[J].European Journal of Operational Research,1994,72:574-587.
    [77]刘海林,陆志峰,王宇平,等.分层多目标最优化进化算法[J].计算机工程与应用,2005,15:36-38.
    [78]赵志刚,顾新一,李陶深.求解双层规划模型的粒子群优化算法[J].系统工程理论与实践,2007,8:92-98.
    [79]陆圣芝,胡伟,罗建裕.江苏电网分层分区研究[J].江苏电机工程,2006,25(3):11-13.
    [80] Glamocanin V,Filipovic V.Open-loop distribution system design[J].IEEE Transactions on Power Delivery,1993,8(4):1900-1906.
    [81] Bozic Z,Hobson E.Urban underground network expansion planning[J].IEE Proceedings: Generation, Transmission and Distribution,1997,144(2):118-124.
    [82]刘健,杨文宇,余健明,等.一种基于改进最小生成树算法的配电网架优化规划[J].中国电机工程学报,2004,24(10):103-108.
    [83]王天华,王平洋,范明天.用0-1规划求解馈线自动化规划问题[J].中国电机工程学报,2000,20(5):54-58.
    [84]王赛一,王成山.基于多目标模型的城市中压配电网络规划[J].中国电力,2006,39(11):46-50.
    [85]王天华,王平洋,范明天.用演化算法求解多阶段配电网规划问题[J].中国电机工程学报,2000,20(3):34-38.
    [86]王成山,王赛一.基于空间GIS和Tabu搜索技术的城市中压配电网络规划[J].电网技术,2004,28(14):68-73.
    [87] Ramirez-Rosado I J,Dominguez-Navarro J A.New multiobjective Tabu search algorithm for fuzzy optimal planning of power distribution systems[J].IEEE Transactions on Power Systems,2006,21(1):224-233.
    [88]高炜欣,罗先觉.基于蚂蚁算法的配电网网络规划[J].中国电机工程学报,2004,24(9):110-114.
    [89] Boulaxis N G,Papadopoulos M P.Optimal feeder routing in distribution system planning using dynamic programming technique and GIS facilities[J].IEEE Transactions on Power Delivery,2002,17(1):242-247.
    [90]刘军,刘自发,黄伟,等.基于混合微分演化算法的配电网架结构智能规划[J].电力系统自动化,2007,31(2):32-35.
    [91]王小平,曹立明.遗传算法-理论、应用与软件实现[M].西安交通大学出版社,2002年.
    [92] Eduardo G C,Luiz A E S,Ricardo H C,et al.Electric distribution network multiobjective design using a problem-specific genetic algorithm[J].IEEE Transactions on Power Systems,2006,21(2):995-1005.
    [93]李毅山,张焰.城市高压配电网接线模式的可靠性[J].上海交通大学学报,1999,33(12):1554-1557.
    [94]金义雄,程浩忠,严建勇,等.采用反模糊运算进行模糊潮流计算[J].上海交通大学学报,2005,8(39):68-71.
    [95] Liu X W.Measuring the satisfaction of constraints in fuzzy linear programming[J].Fuzzy Set and Systems,2001,122:263-275.
    [96]石乙英.模糊数的排序以及凸锥的近似空间[D].辽宁师范大学,硕士学位论文,2005年.
    [97] Zhong E , Song G , Wang E . Development of a Components GIS based on Applications[J].Proceedings of IEAS’97 & IWGIS’97,1997,1:18-22.
    [98] Yan T.The technology of component and software architecture[J].Aeronautical Computer Technique,2003,33(1):52-54.
    [99] Chowdhury A A,Oval D O.Current practices and customer value-based distribution system reliability planning[J].IEEE Transactions on Industry Applications,2004,40(5):1174-1182.
    [100]许诺,颜汉荣,文福拴,等.基于绩效的管制模式及其应用[J].电力系统自动化,2003,27(5):13-19.
    [101]迟峰,黄民翔.基于可靠性电价-赔偿机制的电网规划研究[J].电力系统及其自动化学报,2007,19(1):87-91.
    [102]严超,郭永基,程林.供电可靠性承诺/赔偿法[J].电力系统自动化,2002,26(18):11-14.
    [103]张静.基于序贯蒙特卡罗仿真的配电网可靠性评估模型的研究[D].合肥工业大学,硕士学位论文,2004年.
    [104]郑剑,刘克,申金平.分布式供电系统对电网的影响[J].东北电力技术,2006,4:4-6.
    [105] Wang C,Nehrir M H.Analytical approaches for optimal placement of distributed generation sources in power systems[J].IEEE Transactions on Power Systems,2004,19(4):2068-2076.
    [106]陈海焱,陈金富,杨雄平,等.配电网中计及短路电流约束的分布式发电规划[J].电力系统自动化,2006,30(21):16-21.
    [107]陈琳,钟金,倪以信,等.联网分布式发电系统规划运行研究[J].电力系统自动化,2007,31(9):26-31.
    [108]吴涛涛,赵宏伟,李伟.基于分布式电源的孤立系统规划初探[J].继电器,2007,35(8):31-36.
    [109]高笑,赵宏伟,冯璞乔.基于分布式发电的配网规划初探[J].江苏电机工程,2005,24(2):9-11.
    [110]盛鹍,孔力,齐智平,等.新型电网-微电网(Microgrid)研究综述[J].继电器,2007,35(12):75-81.
    [111]鲁宗相,王彩霞,闵勇,等.微电网研究综述[J].电力系统自动化,2007,31(19):100-107.
    [112] Chedid R,Rchman M.Unit sizing and control of hybrid wind-solar power systems[J].IEEE Transactions on Energy Conversion,1997,12(1):79-85.
    [113]丁明,王敏.分布式发电技术[J].电力自动化设备,2004,24(7):31-36.
    [114] Jenkins N,Strbac G.Effects of small embedded generation on power quality[C].IEEE Colloquium on Issues in Power Quality,U K,1995:6/126/4.
    [115]刘健,董榕,杜文学,等.城乡电网建设与改造指南[M].中国水利水电出版社,2001年.
    [116]胡庶,吴耀武,娄素华,等.用户自备分布式发电与供电商的博弈[J].电力系统自动化,2006,30(20):21-25.
    [117]沈新平.论供电企业开拓销售侧市场[J].供电企业管理,2007,1:8-10.
    [118]帅军庆.上海电力的发展趋势及新技术应用展望[J].上海电力,2004,5:369-374.
    [119]姜毅君,董倩,王小军.节能环保调度对电网企业的影响[J].电力设备,2008,9(2):21-23.
    [120]周安石,康重庆,洪元瑞.电力工业可持续发展的统一规划模型[J].电力系统自动化,2005,29(7):28-32.
    [121]杨勇.输配电领域的技术进步对电力环保的影响[J].电力环境保护,2001,17(4):36-39.
    [122]段刚,余贻鑫.输配电系统综合规划的全局优化算法[J].中国电机工程学报,2002,22(4):109-113.

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