近年來由於負載需求增加，以及併接再生能源需求下，區域電網饋線將面臨逐漸飽和的情況，在既有電網條件下若要增加再生能源併接容量，必然對系統的穩定性造成影響。本文將針對分散式能源併網後，對輸配電系統之影響加以研究，並透過電網重組方式提高併聯容量。區域輸配電系統中的電力潮流控制操作有幾種策略，其中為輸配電饋線重組以及負載轉供技術，其作為是藉由改變分段開關與連絡開關的狀態進而改變配電饋線的拓撲結構，使電力潮流得以改變，進而舒緩原本吃緊的饋線容量，提高分散式能源併聯容量的可能性，以及找到一個最佳的轉供路徑。本文將以台灣輸配電系統為研究對象，在輸配電系統含有分散式電源的情形下，最佳化輸配電系統之拓撲重組及輸配電饋線轉供路徑，藉以提升整體輸電裕度來最大化再生能源併聯容量。

Due to the increasing load demand and rapid development in renewable energy, load flow within some regional transmission or distribution grid could reach the line capacity limit, which in turn impacts the stability of the regional power system. This research focuses on the method of enhancing the grid-connected capacity for the renewable generation. In gen-eral, there are several strategies which can solve the power flow congestion inside the grid by feeder reconfiguration or load transfer. These strategies basically attempt to change the topology of the transmission/distribution grid by changing the state of sectional switch or tie switch. Through the change of regional grid topology, several congested line flows can be diverted to the other routes that help release the congested lines. Likewise, similar approach could increase the possibility of integrating more distributed generation into system. Test studies will be focusing on the regional transmission/distribution grid in Taiwan to achieve the optimal feeder configuration and load transfer for enlarging the whole transmission mar-gin under the maximum renewable generation in-feed.

[1]Xiaoyun Huang, Qincheng Yuan, Chunguang Li, Qihong Yuan and Liang Dong, "Research on the network reconfiguration after distribution network fault," 2014 China International Conference on Electricity Dis-tribution (CICED), Shenzhen, 2014, pp. 1-7.
[2]S. Huang, Q. Wu, L. Cheng and Z. Liu, "Optimal Reconfiguration-Based Dynamic Tariff for Congestion Management and Line Loss Reduction in Distribution Networks," in IEEE Transactions on Smart Grid, vol. 7, no. 3, pp. 1295-1303, May 2016.
[3]J. Blanco-Solano, J. F. Petit-Suárez and G. Ordóñez-Plata, "Optimal place-ment of voltage sag monitors in smart distribution systems: Impact of the dynamic network reconfiguration," 2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM), Montevideo, 2015, pp. 361-365.
[4]B. Venkatesh, R. Ranjan and H. B. Gooi, "Optimal reconfiguration of ra-dial distribution systems to maximize loadability," in IEEE Transactions on Power Systems, vol. 19, no. 1, pp. 260-266, Feb. 2004.
[5]M. Kabirifar, A. Shojaei and M. Moallem, "Distribution system reconfigura-tion using heuristic method and enhanced genetic algorithm with fuzzy sets objectives," 2015 23rd Iranian Conference on Electrical Engineering, Tehran, 2015, pp. 1568-1573.
[6]Z. M. Yasin and T. K. A. Rahman, "Service Restoration in Distribution Network with Distributed Generation," 2006 4th Student Conference on Research and Development, Selangor, 2006, pp. 200-205.
[7]M. M. Aman, G. B. Jasmon, K. Naidu, A. H. A. Bakar and H. Mokhlis, "Discrete evolutionary programming to solve network reconfiguration problem," IEEE 2013 Tencon - Spring, Sydney, NSW, 2013, pp. 505-509.
[8]V. S. Patel, S. Chakrabarti and S. N. Singh, "A hopfield neural network based reconfiguration algorithm for power distribution systems," 2017 IEEE Region 10 Symposium (TENSYMP), Cochin, 2017, pp. 1-5.
[9]N. H. Shamsudin, M. S. S. M. Basir, A. R. Abdullah, M. F. Sulaima and E. F. Shair, "Losses minimization in network reconfiguration for fault resto-ration via a uniform crossover of genetic algorithm," 2015 International Symposium on Technology Management and Emerging Technologies (ISTMET), Langkawai Island, 2015, pp. 330-334.
[10]B. A. R. de Andrade and N. R. Ferreira, "Simulated annealing and tabu search applied on network reconfiguration in distribution systems," 2018 Simposio Brasileiro de Sistemas Eletricos (SBSE), Niteroi, 2018, pp. 1-6.
[11]Y. del Valle, G. K. Venayagamoorthy, S. Mohagheghi, J. Hernandez and R. G. Harley, "Particle Swarm Optimization: Basic Concepts, Variants and Appli-cations in Power Systems," in IEEE Transactions on Evolutionary Computa-tion, vol. 12, no. 2, pp. 171-195, April 2008.
[12]D. V. Sunil and N. Yadaiah, "A novel improved particle swarm optimization frame work for reconfiguration of radial distribution system," 2017 IEEE In-ternational Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Milan, 2017, pp. 1-5.
[13]E. Chen, S. Zhang and T. Wang, "Research on distribution network recon-struction based on improved simulated annealing — Ant colony algorithm," 2017 Chinese Automation Congress (CAC), Jinan, 2017, pp. 3575-3579.
[14]Z. Gao, J. Ding and H. Liu, "Hybrid algorithm based on artificial fish swarm algorithm and tabu search in distribution network reconfiguration," 2010 International Conference On Computer Design and Applications, Qinhuangdao, 2010, pp. V5-415-V5-418.
[15]劉力誠，"含有分散能源支配電饋線重組研究"，碩士論文，國立台北科技大學，2008
[16]M. Makandar, C. S. R. Atla and S. Velamuri, "Reliability assessment of distribution system with renewable Distributed Generation," 2016 Bien-nial International Conference on Power and Energy Systems: Towards Sustainable Energy (PESTSE), Bangalore, 2016, pp. 1-5.
[17]台灣電力公司，"台灣電力股份有限公司再生能源發電系統併聯技術要點"
[18]H. Ahmadi, J. R. Martí and A. Alsubaie, "Sensitivity factors for distribution systems," 2015 IEEE Power & Energy Society General Meeting, Denver, CO, 2015, pp. 1-5.
[19]Siemens Industry, Inc., "PSS®E 33.5 Progtam Operation Mannu-al,"October 2013
[20]L. M. Gambardell and M. Dorigo, "Solving Symmetric and Asymmetric Tsps by Ant Colonies," In Proceedings. 1996 IEEE Internationl Con-ference on Evolutionary Computation , Vol. 20 , May 1996, pp. 622-627.
[21]Wood, Allen J., Bruce F. Wollenberg, "Power generation, operation, and control," Wiley Insterscience, Second edition, 1996.
[22]吳武昌，"應用粒子群集與柏拉圖最佳化於配電系統饋線重構問題之研究"，博士論文，國立台北科技大學，2011
[23]J. C. Bansal, P. K. Singh, M. Saraswat, A. Verma, S. S. Jadon and A. Abraham, "Inertia Weight strategies in Particle Swarm Optimization," 2011 Third World Congress on Nature and Biologically Inspired Com-puting, Salamanca, 2011, pp. 633-640.
[24]A. Ratnaweera, S. K. Halgamuge and H. C. Watson, "Self-organizing hi-erarchical particle swarm optimizer with time-varying acceleration coeffi-cients," in IEEE Transactions on Evolutionary Computation, vol. 8, no. 3, pp. 240-255, June 2004.
[25]Siemens Industry, Inc., "PSS®E 33.5 Application Progtam Inter-face,"October 2013
[26]I. I. Atteya, H. A. Ashour, N. Fahmi and D. Strickland, "Distribution network reconfiguration in smart grid system using modified particle swarm optimi-zation," 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA), Birmingham, 2016, pp. 305-313.
[27]台灣電力公司，"台灣電力股份有限公司輸電系統規劃準則"