Review and prospect of active distribution system planning
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  • 作者:Junyong LIU ; Hongjun GAO ; Zhao MA ; Yuanxi LI
  • 关键词:Active distribution system (ADS) planning ; Distributed energy resources (DERs) ; Distributed generations (DGs) ; Demand response (DR) ; Electric vehicle (EV) ; Active network management (ANM) ; Integrated planning
  • 刊名:Journal of Modern Power Systems and Clean Energy
  • 出版年:2015
  • 出版时间:December 2015
  • 年:2015
  • 卷:3
  • 期:4
  • 页码:457-467
  • 全文大小:1,019 KB
  • 参考文献:[1]Zhang JH, Zeng B, Zhang YY et al (2014) Key issues and research prospects of active distribution network planning. Trans China Electrotech Soc 29(2):13鈥?3 (in Chinese)
    [2]You Y, Liu D, Yu WP et al (2012) Technoogy and its trends of active distribution network. Automat Electr Power Syst 36(18):10鈥?6 (in Chinese)
    [3]Pilo F, Jupe S, Silvestro F et al (2014) Planning and optimization methods for active distribution systems. WG C6.19: TB 591, CIGRE, Paris, France
    [4]Cui JL, Liu TQ (2007) Distributed generation and its grid interconnection issue. Mod Electr Power 24(3):53鈥?7 (in Chinese)
    [5]Milligan MR, Graham MS (1996) An enumerated probabilistic simulation technique and case study: Integrating wind power into utility production cost models. In: Proceedings of the IEEE Power Engineering Society summer meeting, Denver, CO, USA, 29 Jul鈥? Aug 1996, 19p
    [6]Hoff T, Shugar DS (1995) The value of grid-support photovoltaics in reducing distribution system losses. IEEE Trans Energy Conver 10(3):569鈥?76CrossRef
    [7]Ochoa LF, Padilha-Feltrin A, Harrison GP (2006) Evaluating distributed generation impacts with a multiobjective index. IEEE Trans Power Deliver 21(3):1452鈥?458CrossRef
    [8]Chiradeja P, Ramakumar R (2004) An approach to quantify the technical benefits of distributed generation. IEEE Trans Energy Conver 19(4):764鈥?73CrossRef
    [9]Zhong Q, Sun W, Yu NH et al (2014) Load and power forecasting in active distribution network planning. P CSEE 34(19):3050鈥?056
    [10]Zeng B, Liu N, Zhang YY et al (2013) Bi-level scenario programming of active distribution network for promoting intermittent distributed generation utilization. Trans China Electrotech Soc 28(9):155鈥?63 (in Chinese)
    [11]Al Kaabi SS, Zeineldin HH, Khadkikar V (2014) Planning active distribution networks considering multi-DG configurations. IEEE Trans Power Syst 29(2):785鈥?93CrossRef
    [12]You Y, Liu D, Zhong Q et al (2014) Multi-time scale coordinated control of distributed generators based on active distribution network. Automat Electr Power Syst 38(9):192鈥?98 (in Chinese)
    [13]Zhang J, Zhang C, Dong HR et al (2013) Multi-agent based active distribution network with distributed energy resources and its operation management systems. East China Electr Power 41(11):2229鈥?232 (in Chinese)
    [14]Wang J, Xie H, Sun J (2014) Study on energy dispatch strategy of active distribution network using chance- constrained programming. Power Syst Prot Contr 42(13):45鈥?2 (in Chinese)
    [15]Fang C, Zhang X, Cheng HZ et al (2014) Framework planning of distribution network containing distributed generation considering active management. Power Syst Technol 38(4):823鈥?29 (in Chinese)
    [16]You Y, Liu D, Zhong Q et al (2014) Research on optimal schedule strategy for active distribution network. Automat Electr Power Syst 38(9):177鈥?83 (in Chinese)
    [17]Liu YB, Wu WC, Zhang BM et al (2014) Overvoltage preventive control method based on active and reactive power coordinated optimization in active distribution network. Automat Electr Power Syst 38(9):184鈥?91 (in Chinese)
    [18]D鈥橝damo C, CAbbey C, Jupe S, et al (2011) Development and operation of active distribution networks: Results of CIGRE C6.11 Working Group. In: Proceedings of the CIRED 21st international conference on electricity distribution, Frankfurt, Germany, 6鈥? Jun 2011, 0311/4p
    [19]Ma Z, Liang HS, Su J (2015) Important issues in planning and operation of active distribution system. Power Syst Technol 39(6):1499鈥?503 (in Chinese)
    [20]Jiang FL (2014) Research on the power flow calculation and reactive power optimization of distribution network with distributed generation. Ph D Thesis, Shenyang Agricultural University, Shengyang, China (in Chinese)
    [21]Wang DTC, Lochoa LF, Gaharrison GP (2011) Modified GA and data envelopment analysis for multistage distribution network expansion planning under uncertainty. IEEE Trans Power Syst 26(2):897鈥?04CrossRef
    [22]Zhang Q, Wang XF, Wang JX et al (2008) Survey of demand response research in deregulated electricity markets. Automat Electr Power Syst 32(3):97鈥?06 (in Chinese)
    [23]Karimyan P, Gharehpetian GB, Abedi M et al (2014) Long term scheduling for optimal allocation and sizing of DG unit considering load variations and DG type. Int J Electr Power Energy Syst 54:277鈥?87CrossRef
    [24]Zhu L, Yan Z, Yang X et al (2014) Integrated resources planning in microgrid based on modeling demand response. P CSEE 34(16):2621鈥?628 (in Chinese)
    [25]Zeng B, Zhang JH, Yang X et al (2014) Integrated planning for transition to low-carbon distribution system with renewable energy generation and demand response. IEEE Trans Power Syst 29(3):1153鈥?165CrossRef
    [26]Dupont B, De Jonghe C, Olmos L et al (2014) Demand response with locational dynamic pricing to support the integration of renewables. Energy Policy 67:344鈥?54CrossRef
    [27]Hu ZC, Song YH, Xu ZW et al (2012) Impacts and utilization of electric vehicles integration into power systems. P CSEE 32(4):1鈥?1 (in Chinese) MATH
    [28]Gao CW, Zhang L (2011) A survey of influence of electrics vehicle charging on power grid. Power Syst Technol 35(2):127鈥?31 (in Chinese)
    [29]Zhao JH, Wen FS, Yang AM et al (2011) Impacts of electric vehicles on power systems as well as the associated dispatching and control problem. Automat Electr Power Syst 35(14):2鈥?0 (in Chinese)
    [30]Sadeghi M, Kalantar M (2014) Multi types DG expansion dynamic planning in distribution system under stochastic conditions using covariance matrix adaptation evolutionary strategy and Monte-Carlo simulation. Energy Conver Manag 87:455鈥?71CrossRef
    [31]Zhong Q, Gao XH, Yu NH et al (2014) Accommodating capacity and mode of distributed generation under harmonic constraint in active distribution networks. Automat Electr Power Syst 38(24):108鈥?13 (in Chinese)
    [32]Liu J, Lin T, Tong XQ et al (2013) Simulation analysis on influences of distributed photovoltaic generation on short-circuit current in distribution network. Power Syst Technol 37(8):2080鈥?085 (in Chinese)
    [33]Zhang ZD, Huang XQ, Cao YJ et al (2014) Research on active response policy for grid friendly air conditioning load. P CSEE 34(25):4207鈥?218 (in Chinese)
    [34]Fan MT, Hui H, Zhang ZP (2015) Main impacts on active distribution system planning. Electr Power Constr 36(1):60鈥?4 (in Chinese)
    [35]Xiao J, Zhang T, Zhang Y et al (2013) TSC-based planning idea and method for distribution networks. P CSEE 33(10):106鈥?14 (in Chinese) MathSciNet
    [36]Capitanescu F, Ochoa LF, Margossian H et al (2015) Assessing the potential of network reconfiguration to improve distributed generation hosting capacity in active distribution systems. IEEE Trans Power Syst 30(1):346鈥?56CrossRef
    [37]Fan MT (2014) Zhang ZP (2014) Research on the problem of active distributed network. Distrib Util 1:22鈥?7 (in Chinese)
    [38]Abapour S, Zare K, Mohammadi-Ivatloo B (2015) Dynamic planning of distributed generation units in active distribution network. IET Gener Transm Distrib 9(12):1455鈥?463CrossRef
    [39]Heidari S, Fotuhi-Firuzabad M, Kazemi S (2015) Power distribution network expansion planning considering distribution automation. IEEE Trans Power Syst 30(3):1261鈥?269CrossRef
    [40]Zhang SX, Li K, Cheng HZ et al (2015) Siting and sizing planning of distributed wind generators under active management mode. Automat Electr Power Syst 39(9):208鈥?14 (in Chinese)
    [41]Zhang JT, Fan H, Tang WT et al (2013) Planning for distributed wind generation under active management mode. Int J Electr Power Energy Syst 47:140鈥?46CrossRef
    [42]Fang C, Zhang X, Cheng HZ et al (2014) Framework planning of distribution network containing distributed generation considering active management. Power Syst Technol 38(4):823鈥?29 (in Chinese)
    [43]Ochoa LF, Dent CJ, Harrison GP (2010) Distribution network capacity assessment: variable DG and active networks. IEEE Trans Power Syst 25(1):87鈥?5CrossRef
    [44]Sedghi M, Ahmadian A, Aliakbar-Golkar M (2015) Optimal storage planning in active distribution network considering uncertainty of wind power distributed generation. IEEE Trans Power Syst (To be published)
    [45]Nick M, Cherkaoui R, Paolone M (2014) Optimal allocation of dispersed energy storage systems in active distribution networks for energy balance and grid support. IEEE Trans Power Syst 29(5):2300鈥?310CrossRef
    [46]You Y, Liu D, Zhong Q et al (2014) Multi-objective optimal placement of energy storage systems in an active distribution network. Automat Electr Power Syst 38(18):46鈥?2 (in Chinese)
    [47]Wei CF, Fu Y, Li ZK et al (2015) Optimal DG penetration rate planning based on S-OPF in active distribution network. Neurocomputing 31:378鈥?87
    [48]Ugranli F, Karatepe E (2013) Multiple-distributed generation planning under load uncertainty and different penetration levels. Int J Electr Power Energy Syst 46:132鈥?44CrossRef
    [49]Sahoo NC, Ganguly S, Das D (2012) Fuzzy-Pareto-dominance driven possibilistic model based planning of electrical distribution systems using multi-objective particle swarm optimization. Expert Syst Appl 39(1):881鈥?93CrossRef
    [50]Jalali M, Zare K, Hagh MT et al (2014) A multi-stage MINLP-based model for sub-transmission system expansion planning considering the placement of DG units. Int J Electr Power Energy Syst 63:8鈥?6CrossRef
    [51]He YX, Wang W, Yang WH et al (2009) Assessment of connection mode in distribution network based on blind number theory. Trans China Electrotech Soc 24(7):139鈥?45 (in Chinese) MathSciNet
    [52]Jin HZ, Cheng HZ, Yang XM et al (2006) Transmission network flexible planning based on connection number model. P CSEE 26(12):16鈥?0 (in Chinese)
    [53]Dehghanian P, Hosseini SH, Moeini-Aghtaie M et al (2013) Optimal siting of DG units in power systems from a probabilistic multi-objective optimization perspective. Int J Electr Power Energy Syst 51:14鈥?6CrossRef
    [54]Soroudi A, Amraee A (2013) Decision making under uncertainty in energy systems: State of the art. Renew Sustain Energy Rev 28:376鈥?84CrossRef
    [55]Borges CLT, Martins VF (2012) Multistage expansion planning for active distribution networks under demand and distributed generation uncertainties. Int J Electr Power Energy Syst 36(1):107鈥?16CrossRef
    [56]Martins VF, Borges CLT (2011) Active distribution network integrated planning incorporating distributed generation and load response uncertainties. IEEE Trans Power Syst 26(4):2164鈥?172CrossRef
    [57]Zakariazadeh A, Jadid S, Siano P (2014) Stochastic operational scheduling of smart distribution system considering wind generation and demand response programs. Int J Electr Power Energy Syst 63:218鈥?25CrossRef
    [58]Hung DQ, Mithulananthan N, Lee KY (2014) Determining PV penetration for distribution systems with time-varying load models. IEEE Trans Power Syst 29(6):3048鈥?057CrossRef
    [59]Xu X, Chen K, Long Y et al (2013) Optimal site selection and capacity determination of multi-types of distributed generation in microgrid considering environment cost and timing characteristics. Power Syst Technol 37(4):914鈥?21 (in Chinese)
    [60]Li L, Tang W, Bai MK et al (2013) Multi-objective locating and sizing of distributed generators based on time-sequence charactoristics. Automat Electr Power Syst 37(3):58鈥?3 (in Chinese)
    [61]Liu YB, Wu WC, Zhang BM et al (2014) A mixed integer second-order cone programming based active and reactive power coordinated multi-period optimization for active distribution network. P CSEE 34(16):2575鈥?583 (in Chinese) MathSciNet
    [62]Liu YB, Wu WC, Zhang BM et al (2014) Reactive power optimization for three-phase distribution networks with distributed generators based on mixed integer second-order cone programming. Automat Electr Power Syst 38(15):58鈥?4 (in Chinese)
    [63]Shen XW, Zhu SZ, Zheng JH et al (2015) Active distribution network planning-operation co-optimization considering the coordination of ESS and DG. Power Syst Technol 39(7):1913鈥?920 (in Chinese)
    [64]Hu ZC, Li FR (2012) Cost-benefit analyses of active distribution network management, Part II: Investment reduction analysis. IEEE Trans Smart Grid 3(3):1075鈥?081CrossRef
    [65]Hu ZC, Li FR (2012) Cost-benefit analyses of active distribution network management, Part I: Annual benefit analysis. IEEE Trans Smart Grid 3(3):1067鈥?074CrossRef
    [66]Xu XM (2012) Distribution networks planning with electric vehicles. Master Thesis, North China Electric Power University, Beijing, China (in Chinese)
    [67]Liu ZP (2013) Investigations on impacts of distributed generators and electric vehicles on distribution system planning and operation. Ph D Thesis, South China University of Technology, Guangzhou, China (in Chinese)
    [68]Pu TJ, Liu KW, Li Y et al (2015) Multi-agent system based simulation verification for autonomy-cooperative optimization control on active distribution network. P CSEE 35(8):1864鈥?874 (in Chinese)
    [69]Wen JQ, Zeng B, Zhang JH (2015) Bi-level programming method for distributed generator considering stakeholders鈥?game relationship in an electricity market environment. Automat Electr Power Syst 39(15):61鈥?7 (in Chinese)
  • 作者单位:Junyong LIU (1)
    Hongjun GAO (1)
    Zhao MA (2)
    Yuanxi LI (3)

    1. School of Electrical Engineering and Information, Sichuan University, Chengdu, 610065, China
    2. China Electric Power Research Institute, Haidian District, Beijing, 100192, China
    3. Beijing Changping Power Supply Company, Changping District, Beijing, 102200, China
  • 刊物主题:Energy Systems; Renewable and Green Energy; Power Electronics, Electrical Machines and Networks;
  • 出版者:Springer Berlin Heidelberg
  • ISSN:2196-5420
文摘
The approach to planning, design and operation of distribution networks have significantly changed due to the proliferation of distributed energy resources (DERs) together with load growth, energy storage technology advancements and increased consumer expectations. Planning of active distribution systems (ADS) has been a very hot topic in the 21st Century. A large number of studies have been done on ADS planning. This paper reviews the state of the art of current ADS planning. Firstly, the influences of DERs on the ADS planning are addressed. Secondly, the characteristics and objectives of ADS planning are summarized. Then, up to date planning model and some related research are highlighted in different areas such as forecasting load and distributed generation, mathematical model of ADS planning and solution algorithms. Finally, the paper explores some directions of future research on ADS planning including planning collaboratively with all elements combined in ADS, taking into account of joint planning in secondary system, coordinating goals among different layers, integrating detailed operation simulations and regular performance based reviews into planning, and developing advanced planning tools. Keywords Active distribution system (ADS) planning Distributed energy resources (DERs) Distributed generations (DGs) Demand response (DR) Electric vehicle (EV) Active network management (ANM) Integrated planning

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