Review on intelligent planning and decision-making technology for the new active distribution network

doi:10.3969/j.issn.2097-0706.2023.11.003

Abstract

Abstract:

With the accelerating construction of new power system and popularity of active renewable distributed energy，passive distribution networks are moving towards active distribution networks quickly.However，renewable power is intermittent and uncontrollable，and the penetration of high-proportion renewable energy has brought serious threats to the safe and reliable operation of networks.Active distribution network is an effective solution for large-scale distributed energy grid connection and distribution network optimal operation.To maintain the optimal operation state of the power grid， scholars have conducted extensive researches about active distribution network management.The hot issues in this field include active distribution network planning，active distribution network intelligent decision-making，active distribution network power supply restoration and active distribution network load management. The progress made in these key technologies and the status quos of active distribution networks at home and abroad are analysed. And the analysis results show that the robust planning for active distribution networks taking uncertainties and temporal and spatial correlations into consideration is the development direction for the following studies.

Key words: new power system, distributed energy, active distribution network technology, intelligent management system, renewable energy, distributed energy storage system, robustness optimization, microgrid

CLC Number:

TM76:TK01⁺9

WU Xueqiong, XIA Dong. Review on intelligent planning and decision-making technology for the new active distribution network[J]. Integrated Intelligent Energy, 2023, 45(11): 20-26.

Figures/Tables 1

References 68

[1]	HUANG J Y, JIANG C W, XIANG R. A review on distributed energy resources and microgrid[J]. Renewable and Sustainable Energy Reviews, 2008, 12(9):2472-2483. doi: 10.1016/j.rser.2007.06.004
[2]	MUÑOZ-DELGADO G, CONTRERAS J, ARROYO J. Joint expansion planning of distributed generation and distribution networks[J]. IEEE Transactions on Power Systems, 2014, 30(5):2579-2590. doi: 10.1109/TPWRS.2014.2364960
[3]	EHSAN A, YANG Q. Optimal integration and planning of renewable distributed generation in the power distribution networks:A review of analytical techniques[J]. Applied Energy, 2018, 210:44-59. doi: 10.1016/j.apenergy.2017.10.106
[4]	AKOREDE M F, HIZAM H, POURESMAEIL E. Distributed energy resources and benefits to the environment[J]. Renewable and Sustainable Energy Reviews, 2010, 14(2):724-734. doi: 10.1016/j.rser.2009.10.025
[5]	ZOU K, AGALGAONKAR A P, MUTTAQI K M, et al. Distribution system planning with incorporating DG reactive capability and system uncertainties[J]. IEEE Transactions on Sustainable Energy, 2011, 3(1):112-123. doi: 10.1109/TSTE.2011.2166281
[6]	KAABI S S, ZEINELDIN H H, KHADKIKAR V. Planning active distribution networks considering multi-DG configurations[J]. IEEE Transactions on Power Systems, 2013, 29(2):785-793. doi: 10.1109/TPWRS.2013.2282343
[7]	XING H J, CHENG H Z, ZHANG Y, et al. Active distribution network expansion planning integrating dispersed energy storage systems[J]. IET Generation,Transmission & Distribution, 2016, 10(3):638-644. doi: 10.1049/gtd2.v10.3
[8]	MASHAYEKH S, STADLER M, CARDOSO G, et al. Security-constrained design of isolated multi-energy microgrids[J]. IEEE Transactions on Power Systems, 2017, 33(3):2452-2462. doi: 10.1109/TPWRS.2017.2748060
[9]	EHSAN A, YANG Q. Scenario-based investment planning of isolated multi-energy microgrids considering electricity, heating and cooling demand[J]. Applied Energy, 2019, 235:1277-1288. doi: 10.1016/j.apenergy.2018.11.058
[10]	LOPES J A P, HATZIARGYRIOU N, MUTALE J, et al. Integrating distributed generation into electric power systems:A review of drivers,challenges and opportunities[J]. Electric Power Systems Research, 2007, 77(9):1189-1203. doi: 10.1016/j.epsr.2006.08.016
[11]	COLMENAR A, REINO-RIO C, BORGE-DIEZ D, et al. Distributed generation:A review of factors that can contribute most to achieve a scenario of DG units embedded in the new distribution networks[J]. Renewable and Sustainable Energy Reviews, 2016, 59:1130-1148. doi: 10.1016/j.rser.2016.01.023
[12]	VIRAL R, KHATOD D K. Optimal planning of distributed generation systems in distribution system:A review[J]. Renewable and Sustainable Energy Reviews, 2012, 16(7):5146-5165. doi: 10.1016/j.rser.2012.05.020
[13]	GEORGILAKIS P S, HATZIARGYRIOU N D. A review of power distribution planning in the modern power systems era: Models, methods and future research[J]. Electric Power Systems Research, 2015, 121:89-100. doi: 10.1016/j.epsr.2014.12.010
[14]	TAN W S, HASSAN M Y, MAJID M S, et al. Optimal distributed renewable generation planning:A review of different approaches[J]. Renewable and Sustainable Energy Reviews, 2013, 18:626-645. doi: 10.1016/j.rser.2012.10.039
[15]	SANTOS S F, FITIWI D Z, BIZUAYEHU A W, et al. Novel multi-stage stochastic DG investment planning with recourse[J]. IEEE Transactions on Sustainable Energy, 2016, 8(1):164-178. doi: 10.1109/TSTE.2016.2590460
[16]	YANG Q, BARRIA J A, GREEN T C. Communication infrastructures for distributed control of power distribution networks[J]. IEEE Transactions on Industrial Informatics, 2011, 7(2): 316-327. doi: 10.1109/TII.2011.2123903
[17]	EHSAN A, YANG Q, CHENG M. A scenario‐based robust investment planning model for multi‐type distributed generation under uncertainties[J]. IET Generation, Transmission & Distribution, 2018, 12(20): 4426-4434. doi: 10.1049/gtd2.v12.20
[18]	MARTINS V F, BORGES C L T. Active distribution network integrated planning incorporating distributed generation and load response uncertainties[J]. IEEE Transactions on Power Systems, 2011, 26(4):2164-2172. doi: 10.1109/TPWRS.2011.2122347
[19]	BORGES C L T, MARTINS V F. Multistage expansion planning for active distribution networks under demand and distributed generation uncertainties[J]. International Journal of Electrical Power & Energy Systems, 2012, 36(1): 107-116. doi: 10.1016/j.ijepes.2011.10.031
[20]	LIN X N, SUN J W, AI S, et al. Distribution network planning integrating charging stations of electric vehicle with V2G[J]. International Journal of Electrical Power & Energy Systems, 2014, 63: 507-512. doi: 10.1016/j.ijepes.2014.06.043
[21]	GILL S, KOCKAR I, AULT G W. Dynamic optimal power flow for active distribution networks[J]. IEEE Transactions on Power Systems, 2013, 29(1):121-131. doi: 10.1109/TPWRS.2013.2279263
[22]	GABASH A, LI P. Active-reactive optimal power flow in distribution networks with embedded generation and battery storage[J]. IEEE Transactions on Power Systems, 2012, 27(4):2026-2035. doi: 10.1109/TPWRS.2012.2187315
[23]	KHODAEI A, BAHRAMIRAD S, SHAHIDEHPOUR M. Microgrid planning under uncertainty[J]. IEEE Transactions on Power Systems, 2014, 30(5):2417-2425. doi: 10.1109/TPWRS.2014.2361094
[24]	HAMZEH M, VAHIDI B, ASKARIAN-ABYANEH H. Reliability evaluation of distribution transformers with high penetration of distributed generation[J]. International Journal of Electrical Power & Energy Systems, 2015, 73:163-169. doi: 10.1016/j.ijepes.2015.04.013
[25]	VILLANUEVA-ROSARIO J A, SANTOS-GARCÍA F, AYBAR-MEJÍA M E, et al. Coordinated ancillary services, market participation and communication of multi-microgrids:A review[J]. Applied Energy, 2022, 308: 118332. doi: 10.1016/j.apenergy.2021.118332
[26]	HOSSAIN M A, POTA H R, HOSSAIN M J, et al. Evolution of microgrids with converter-interfaced generations:Challenges and opportunities[J]. International Journal of Electrical Power & Energy Systems, 2019, 109:160-186. doi: 10.1016/j.ijepes.2019.01.038
[27]	MATOS S P S, VARGAS M C, FRACALOSSI L G V, et al. Protection philosophy for distribution grids with high penetration of distributed generation[J]. Electric Power Systems Research, 2021, 196:107203. doi: 10.1016/j.epsr.2021.107203
[28]	CHANDRA A, SINGH G K, PANT V. Protection of AC microgrid integrated with renewable energy sources—A research review and future trends[J]. Electric Power Systems Research, 2021, 193:107036. doi: 10.1016/j.epsr.2021.107036
[29]	XU X F, MITRA J, WANG T T, et al. An evaluation strategy for microgrid reliability considering the effects of protection system[J]. IEEE Transactions on Power Delivery, 2015, 31(5):1989-1997. doi: 10.1109/TPWRD.2015.2440664
[30]	TELUKUNTA V, PRADHAN J, AGRAWAL A, et al. Protection challenges under bulk penetration of renewable energy resources in power systems:A review[J]. CSEE Journal of Power and Energy Systems, 2017, 3(4):365-379. doi: 10.17775/CSEEJPES
[31]	POLLEUX L, GUERASSIMOFF G, MARMORAT J P, et al. An overview of the challenges of solar power integration in isolated industrial microgrids with reliability constraints[J]. Renewable and Sustainable Energy Reviews, 2022, 155: 111955. doi: 10.1016/j.rser.2021.111955
[32]	JORDEHI A R. How to deal with uncertainties in electric power systems? A review[J]. Renewable and Sustainable Energy Reviews, 2018, 96: 145-155. doi: 10.1016/j.rser.2018.07.056
[33]	RAGHUWANSHI S S, ARYA R. Reliability evaluation of stand-alone hybrid photovoltaic energy system for rural healthcare centre[J]. Sustainable Energy Technologies and Assessments, 2020, 37: 100624. doi: 10.1016/j.seta.2019.100624
[34]	LI Z H, WU W C, ZHANG B M, et al. Analytical reliability assessment method for complex distribution networks considering post-fault network reconfiguration[J]. IEEE Transactions on Power Systems, 2019, 35(2): 1457-1467. doi: 10.1109/TPWRS.59
[35]	RATHORE A, PATIDAR N P. Reliability assessment using probabilistic modelling of pumped storage hydro plant with PV-wind based standalone microgrid[J]. International Journal of Electrical Power & Energy Systems, 2019, 106: 17-32. doi: 10.1016/j.ijepes.2018.09.030
[36]	EAJAL A A, EL-AWADY A, El-SAADANY E F, et al. A bayesian approach to the reliability analysis of renewables-dominated islanded dc microgrids[J]. IEEE Transactions on Power Systems, 2021, 36(5): 4296-4309. doi: 10.1109/TPWRS.2021.3056314
[37]	ARYA R, CHOUBE S C, ARYA L D. Reliability evaluation and enhancement of distribution systems in the presence of distributed generation based on standby mode[J]. International Journal of Electrical Power & Energy Systems, 2012, 43(1): 607-616. doi: 10.1016/j.ijepes.2012.05.045
[38]	LI Y F, ZIO E. A multi-state model for the reliability assessment of a distributed generation system via universal generating function[J]. Reliability Engineering & System Safety, 2012, 106: 28-36. doi: 10.1016/j.ress.2012.04.008
[39]	LEI Y K, HOU K, WANG Y, et al. A new reliability assessment approach for integrated energy systems: Using hierarchical decoupling optimization framework and impact-increment based state enumeration method[J]. Applied Energy, 2018, 210: 1237-1250. doi: 10.1016/j.apenergy.2017.08.099
[40]	CHEN C, WU W C, ZHANG B M, et al. An analytical adequacy evaluation method for distribution networks considering protection strategies and distributed generators[J]. IEEE Transactions on Power Delivery, 2014, 30(3): 1392-1400. doi: 10.1109/TPWRD.2014.2376980
[41]	AL-MUHAINI M, HEYDT G T. Evaluating future power distribution system reliability including distributed generation[J]. IEEE Transactions on Power Delivery, 2013, 28(4): 2264-2272. doi: 10.1109/TPWRD.2013.2253808
[42]	FALAHATI B, MOUSAVI M J. Reliability modeling and evaluation of power systems with smart monitoring[J]. IEEE Transactions on Smart Grid, 2013, 4(2): 1087-1095. doi: 10.1109/TSG.2013.2240023
[43]	GUO J, LIU W X, SYED F R, et al. Reliability assessment of a cyber physical microgrid system in island mode[J]. CSEE Journal of Power and Energy Systems, 2019, 5(1): 46-55.
[44]	DING J, BELL K R W, ELDERS I M. A method for the evaluation and optimisation of power losses and reliability of supply in a distribution network[C]// 2016 Power Systems Computation Conference (PSCC). IEEE, 2016: 1-8.
[45]	YAGHOUBI-NIA M R, HASHEMI-DEZAKI H, NIASAR A H. Optimal stochastic scenario-based allocation of smart grids’ renewable and non-renewable distributed generation units and protective devices[J]. Sustainable Energy Technologies and Assessments, 2021, 44: 101033. doi: 10.1016/j.seta.2021.101033
[46]	XU X, MITRA J, WANG T, et al. Reliability evaluation of a microgrid considering its operating condition[J]. Journal of Electrical Engineering and Technology, 2016, 11(1): 47-54. doi: 10.5370/JEET.2016.11.1.047
[47]	周炳华, 王洋, 李峰, 等. 城市能源互联网视角下的主动配电网规划设计与策略研究[J]. 华电技术, 2021, 43(1):59-65.
	ZHOU Binghua, WANG Yang, LI Feng, et al. Research on active distribution network planning and design strategy from the perspective of urban energy internet[J]. Huadian Technology, 2021, 43(1):59-65.
[48]	ALLAN R. Power system reliability assessment—A conceptual and historical review[J]. Reliability Engineering & System Safety, 1994, 46(1): 3-13. doi: 10.1016/0951-8320(94)90043-4
[49]	KRUPENEV D, BOYARKIN D, IAKUBOVSKII D. Improvement in the computational efficiency of a technique for assessing the reliability of electric power systems based on the Monte Carlo method[J]. Reliability Engineering & System Safety, 2020, 204: 107171. doi: 10.1016/j.ress.2020.107171
[50]	LIU W X, GUO D P, XU Y H, et al. Reliability assessment of power systems with photovoltaic power stations based on intelligent state space reduction and pseudo-sequential Monte Carlo simulation[J]. Energies, 2018, 11(6): 1431. doi: 10.3390/en11061431
[51]	ASLANI M, HASHEMI-DEZAKI H, KETABI A. Reliability evaluation of smart microgrids considering cyber failures and disturbances under various cyber network topologies and distributed generation's scenarios[J]. Sustainability, 2021, 13(10):5695. doi: 10.3390/su13105695
[52]	XIAO L, MUTTAQI K M, AGALGAONKAR A P. Reliability assessment of modern distribution networks embedded with renewable and distributed resources[J]. Electric Power Systems Research, 2022, 212: 108374. doi: 10.1016/j.epsr.2022.108374
[53]	LI G F, BIE Z H, YU K, et al. Reliability evaluation of integrated energy systems based on smart agent communication[J]. Applied Energy, 2016, 167: 397-406. doi: 10.1016/j.apenergy.2015.11.033
[54]	KARNGALA A K, SINGH C. Reliability assessment framework for the distribution system including distributed energy resources[J]. IEEE Transactions on Sustainable Energy, 2021, 12(3): 1539-1548. doi: 10.1109/TSTE.2021.3053911
[55]	FARZIN H, FOTUHI-FIRUZABAD M, MOEINI-AGHTAIE M. Role of outage management strategy in reliability performance of multi-microgrid distribution systems[J]. IEEE Transactions on Power Systems, 2017, 33(3): 2359-2369. doi: 10.1109/TPWRS.59
[56]	SILVA A M, NASCIMENTO L C, ROSA M A, et al. Distributed energy resources impact on distribution system reliability under load transfer restrictions[J]. IEEE Transactions on Smart Grid, 2012, 3(4): 2048-2055. doi: 10.1109/TSG.2012.2190997
[57]	CONTI S, RIZZO S A. Monte Carlo simulation by using a systematic approach to assess distribution system reliability considering intentional islanding[J]. IEEE Transactions on Power Delivery, 2014, 30(1): 64-73. doi: 10.1109/TPWRD.2014.2329535
[58]	PIROUZI S, ZAGHIAN M, AGHAEI J, et al. Hybrid planning of distributed generation and distribution automation to improve reliability and operation indices[J]. International Journal of Electrical Power & Energy Systems, 2022, 135:107540. doi: 10.1016/j.ijepes.2021.107540
[59]	GHOLIZADEH N, HOSSEINIAN S H, ABEDI M, et al. Optimal placement of fuses and switches in active distribution networks using value-based MINLP[J]. Reliability Engineering & System Safety, 2022, 217: 108075. doi: 10.1016/j.ress.2021.108075
[60]	MEERA P S, HEMAMALINI S. Reliability assessment and enhancement of distribution networks integrated with renewable distributed generators:A review[J]. Sustainable Energy Technologies and Assessments, 2022, 54:102812. doi: 10.1016/j.seta.2022.102812
[61]	GHORBANI-JUYBARI M Z, GHOLIZADE-NARM H, DAMCHI Y. Optimal recloser placement in distribution system considering maneuver points,practical limitations, and recloser malfunction[J]. International Transactions on Electrical Energy Systems, 2022:2022.
[62]	FARZINFAR M, JAZAERI M. A novel methodology in optimal setting of directional fault current limiter and protection of the MG[J]. International Journal of Electrical Power & Energy Systems, 2020, 116:105564. doi: 10.1016/j.ijepes.2019.105564
[63]	CALDERARO V, LATTARULO V, PICCOLO A, et al. Optimal switch placement by alliance algorithm for improving microgrids reliability[J]. IEEE Transactions on Industrial Informatics, 2012, 8(4):925-934. doi: 10.1109/TII.2012.2210722
[64]	POMBO A V, MURTA-PINA J, PIRES V F. Multiobjective planning of distribution networks incorporating switches and protective devices using a memetic optimization[J]. Reliability Engineering & System Safety, 2015, 136:101-108. doi: 10.1016/j.ress.2014.11.016
[65]	TIPPACHON W, RERKPREEDAPONG D. Multiobjective optimal placement of switches and protective devices in electric power distribution systems using ant colony optimization[J]. Electric Power Systems Research, 2009, 79(7):1171-1178. doi: 10.1016/j.epsr.2009.02.006
[66]	MAHMOUDIAN A, NIASATI M, KHANESAR M A. Multi objective optimal allocation of fault current limiters in power system[J]. International Journal of Electrical Power & Energy Systems, 2017, 85:1-11. doi: 10.1016/j.ijepes.2016.06.013
[67]	夏雪, 张瑞曦, 王磊, 等. 面向配电网数智化转型的高级配电管理系统研究与展望[J]. 综合智慧能源, 2022, 44(12):33-39. doi: 10.3969/j.issn.2097-0706.2022.12.005
	XIA Xue, ZHANG Ruixi, WANG Lei, et al. Research and prospect of advanced distribution management system for the digital and intelligent transformation of distribution network[J]. Integrated Intelligent Energy, 2022, 44(12): 33-39. doi: 10.3969/j.issn.2097-0706.2022.12.005
[68]	郑真, 朱峰, 马小丽, 等. 基于TL-LSTM的新能源功率短期预测[J]. 综合智慧能源, 2023, 45(1):41-48. doi: 10.3969/j.issn.2097-0706.2023.01.005
	ZHENG Zhen, ZHU Feng, MA Xiaoli, et al. Short-term new energy power prediction based on TL-LSTM[J]. Integrated Intelligent Energy, 2023, 45(1):41-48. doi: 10.3969/j.issn.2097-0706.2023.01.005