&nbsp;Research on Multi-layer Optimization Planning Method for Intelligent Distribution Network Considering Operational Flexibility

MA Li; WANG Zongli; LIU Wei; ZHU Tieming; ZHAO Mingxin; CHEN Hai

doi:10.3969/j.issn.1000-7229.2018.06.010

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Electric Power Construction ›› 2018, Vol. 39 ›› Issue (6) : 71. DOI: 10.3969/j.issn.1000-7229.2018.06.010

Research on Multi-layer Optimization Planning Method for Intelligent Distribution Network Considering Operational Flexibility

MA Li，WANG Zongli，LIU Wei，ZHU Tieming，ZHAO Mingxin，CHEN Hai

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Abstract

ABSTRACT： Development of flexible resources such as distributed generation and demand-side response have brought significant changes to the operation and control of distribution networks. The positive impacts of these flexible resources in peak load adjustment and flexible transfer in operation have not been taken into consideration sufficiently in the traditional distribution network planning. The impacts of flexible resources such as operation control methods and demand-side management on distribution networks planning are considered comprehensively in this paper, and corresponding planning model of intelligent distribution network is proposed with the aim of minimizing the total cost. The solving method and process are also put forward on the basis of the combination of differential evolution, Voronoi and Prim algorithms. Finally, a numerical example in a typical power supply area is provided to verify the proposed method, and results show that the economy of the proposed model has been improved significantly compared to traditional methods. The model can also provide new ideas for the planning and constructions of the future intelligent distribution networks.

Key words

KEYWORDS： flexible resources / intelligent distribution network / multi-layer optimization / planning scheme

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MA Li，WANG Zongli，LIU Wei，ZHU Tieming，ZHAO Mingxin，CHEN Hai. Research on Multi-layer Optimization Planning Method for Intelligent Distribution Network Considering Operational Flexibility[J]. Electric Power Construction. 2018, 39(6): 71 https://doi.org/10.3969/j.issn.1000-7229.2018.06.010

References

［1］韦钢, 吴伟力, 胡丹云, 等. 分布式电源及其并网时对电网的影响［J］. 高电压技术, 2007, 33（1）: 36-40.

WEI Gang, WU Weili, HU Danyun, et al. Distributed generation and effects of its parallel operation on power system［J］. High Voltage Engineering, 2007, 33（1）: 36-40.

［2］GWISDORF B, STEPANESCU S, REHTANZ C. Effects of demand side management on the planning and operation of distribution grids［C］// 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe （ISGT Europe）. Gothenberg Sweden: IEEE, 2010: 1-5.

［3］North American Electric Reliability Corporation. Special report: Potential reliability impacts of emerging flexible resources［R］. America: North American Electric Reliability Corporation （NERC）, 2010: 2-6.

［4］MA J, SILVA V, BELHOMNE R, et a1. Evaluating and planning flexibility in sustainable power systems［J］. IEEE Transactions on Sustainable Energy, 2013, 4（1）: 200-209.

［5］EL-FOULY T H M, ZEINELDIN H H, EL-SAADANY E F, et al. A new optimization model for distribution substation siting, sizing, and timing［J］. International Journal of Electrical Power and Energy Systems, 2008, 30（5）: 308-315.

［6］李鑫滨, 朱庆军. 变电站选址定容新模型及其遗传算法优化［J］. 电力系统及其自动化学报, 2009, 21（3）: 32-35.

LI Xinbin, ZHU Qingjun. New model optimized by genetic algorithm for distribution substation location and sizing［J］. Proceedings of the CUS-EPSA, 2009, 21（3）: 32-35.

［7］汪臻, 盛四清, 周庆捷. 不确定环境下配电网变电站选址定容［J］. 电力建设, 2014, 35（3）: 59-63.

WANG Zhen, SHENG Siqing, ZHOU Qingjie. Substation locating and sizing for distribution network in uncertain environment［J］. Electric Power Construction, 2014, 35（3）: 59-63.

［8］杨文宇, 刘健. 配电网架的多阶段不确定性规划［J］. 电工技术学报, 2006, 21（6）: 89-95.

YANG Wenyu, LIU Jian. Distribution network multi-stage planning considering uncertainty［J］. Transactions of China Electrotechnical Society［J］. 2006, 21（6）: 89-95.

［9］王伟, 张粒子, 麻秀范. 基于结构元理论的中压配电网接线模式［J］. 电力系统自动化, 2006, 30（11）: 35-40.

WANG Wei, ZHANG Lizi, MA Xiufan. Connection models in medium-voltage distribution systems based on configuration-unit theory［J］. Automation of Electric Power Systems, 2006, 30（11）: 35-40.

［10］刘洪, 王博, 李梅菊, 等. 基于改进加权Voronoi图算法的有源配电网变电站规划［J］. 电力系统自动化, 2017, 41（13）: 45-52.

LIU Hong, WANG Bo, LI Meiju, et al. Substation planning of active distribution network based on improved weighted voronoi diagram method［J］. Automation of Electric Power Systems, 2017, 41（13）: 45-52.

［11］颜炯, 万涛, 李浩松, 等. 计及不确定性因素的配电网网架规划方法［J］. 电力系统保护与控制, 2017, 45（18）: 76-81.

YAN Jiong, WAN Tao, LI Haosong, et al. Distribution network planning considering the uncertainties［J］. Power System Protection and Control, 2017, 45（18）: 76-81.

［12］欧阳邵杰, 曾博, 邱泽晶, 等. 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）: 38-44.

OUYANG Shaojie, ZENG Bo, QIU Zejing, et al. Integrated resource optimizing planning and allocation method of intelligent distribution network for differentiated demands of users［J］. Electric Power Construction, 2017, 38（2）: 38-44.

［13］VESTERSTROM J, THOMSEN R. A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems［C］// Proceedings of the 2004 Congress on Evolutionary Computation. Portland, OR, USA: IEEE, 2004: 1980-1987.

［14］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.

LIU Jian, YANG Wenyu, YU Jianing, et al. An improved minmum-cost spanning tree based optimal planning of distribution networks［J］. Proceedings of the CSEE, 2004, 24（10）: 103-108.

［15］杨文宇, 刘健, 余健明, 等. 基于改进prim算法的配电网络优化规划方法［J］. 电工技术学报, 2005, 20（3）: 75-79.

YANG Wenyu, LIU Jian, YU Jianming, et al. Distribution network optimal planning based on an improved prim algorithm［J］. Transactions of China Electrotechnical Society， 2005, 20（3）: 75-79.