The classic Garver 6-bus system illustrates and justifies the feasibility of themodels.
📌 3 Key Takeaways
🎯
Objective & Hypothesis:Based on the review of the flexible transmission planning, two novel flexible t planning models withscenario technique are proposed.
📊
Key Findings & Data:One is to minimize the expectation value of construction costs; theother is to minimize the deviation from the best expansion plans of different scenarios, both modelsare based on scenarios occurrence probability and the physical constraints are considered withflexible principle.
💡
Conclusion & Impact:The classic Garver 6-bus system illustrates and justifies the feasibility of themodels.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
Based on the review of the flexible transmission planning, two novel flexible t planning models withscenario technique are proposed. One is to minimize the expectation value of construction costs; theother is to minimize the deviation from the best expansion plans of different scenarios, both modelsare based on scenarios occurrence probability and the physical constraints are considered withflexible principle. The proposed models don’t pursue the optimal solution for a specific scenario butthe comprehensive optimal one that has the best adaptability to all the scenarios according to theoccurrence probabilities. The classic Garver 6-bus system illustrates and justifies the feasibility of themodels.
🔖
Cite This Article
GAO, C., CHENG, H., ZHAI, H. (2022). Research on scenario technique based flexible transmission planning. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 9 - Sayı: 1, 877–885. https://ajindex.com/articles/543744
A.K. David, W. Fushuan, “Transmission planning and investment under competitive electricity market environment.” IEEE Power Engineering Society Summer Meeting, 15-19 July 2001, Vol:3, pp. 1725– 1730, 2001
F.S. Reis, P.M.S. Carvalho, L.A.F.M. Ferreira, “Reinforcement Scheduling Convergen- ce in Power Systems Transmission Planning”, IEEE Transactions on Power Systems, Vol:20, No:2, pp. 1151-1157, 2005
S.N. Siddiqi, M.L.Baughman, “Value-based transmission planning and the effects of network models”, IEEE Transactions on Power Systems, Vol:10, No:4, pp. 1835-1842, 1995
E.V. Geert, “Increased uncertainty a new challenge for power system planners”, IEE Colloquium (Digest), No:200, pp. 1-6, 1998
M.O. Buygi, G. Balzer, H.M. Shanechi, M. Shahidehpour, “Market based transmission expansion planning: fuzzy risk assessment”, Proceedings of the 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, Vol:2, No:5-8, pp. 427-432, 2004
Chung, T.S., Li, K.K., Chen, G.J., Xie, J.D., Tang, G.Q., “Multi-objective transmission network planning by a hybrid GA approach with fuzzy decision analysis”, International Journal of Electrical Power and Energy Systems, Vol:25, No: 3, pp. 187-192, 2003
K.E. Harris, W.E. Strongman, “A probabilis- tic method for reliability, economic and generator interconnection transmission planning studies”, IEEE PES Power Systems Conference and Exposition, 10-13 Oct. 2004, pp. 486-490, 2004
S. Vassena, P. Mack, P. Rouseaux, C. Druet, L. Wehenkel, “A probabilistic approach to power system network planning under uncertainties”, IEEE Power Tech Conference Proceedings, 23- 26 June 2003, Bologna, Vol:2, pp. 1-6, 2003
H.Z. Cheng, H. Crow, L. Mariesa, S.B. Gerald, “Flexible method for power network planning using the unascertained number”, Electric Power Systems Research, Vol:68, No:1, pp. 41-46, 2004
V. Miranda, L.M. Proença, L. Oliveira, L. Carvalho, “Dynamic planning of distribution networks for minimum regret strategies”, Proc. 13th Inter. Conference on Electricity Distribution, Vol:1, 1995
D.S. Popovic, R.M. Ciric, “A multi- objective algorithm for distribution networks restoration”, IEEE Transactions on Power Delivery, Vol:14, No:3, pp. 1134-1141, 1999
Z.H. Cheng, H. Zhangyan, “Power flow analysis of electric power networks flexible planning by means of unascertained number”, Proceedings of CSEE, Vol:21, No:8, pp. 74-78, 1998