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Showing 2 results for Transmission Expansion Planning
Mr. Kazem Ameli, Dr. Mohammad R. Aghaebrahimi, Dr. Hamid Falaghi,
Volume 6, Issue 2 (3-2018)
Abstract
Restructuring and deregulation have changed the power system planning and have introduced new objectives and challenges, especially in the field of Transmission Expansion Planning (TEP). On the other hand, the growing demand and shortage of energy and investment resources have caused special attention to the Demand Response (DR) programs. In this paper, dynamic multi-objective transmission expansion planning is carried out under reliability constraints in the market environment and the presence of demand bidding programs and price responsive bids. The novelties of this paper include the participation of demand bidding (DB) programs and price responsive bids in transmission expansion planning, new wholesale electricity market modeling considering the direct participation of DB programs and price responsive bids and finding the optimum amount of DB programs in each year in individual buses. These data can be sent as a signal to the DR suppliers from the market regulated entity to be considered in their long term planning. The proposed algorithm is implemented on the IEEE 24-bus network and its advantages, including reducing the investment cost and congestion and increasing the reliability, are shown.
Saeed Baqeri, Hamid Falaghi,
Volume 9, Issue 2 (6-2020)
Abstract
Reliability enhancement is one of the main objectives of transmission expansion planning (TEP), and reliability evaluating of different planning schemes is one of the greatest challenges in solving the TEP problem. Due to the large scale of networks and high computational burden of the reliability assessment procedure for any network structure, it is almost impossible and impractical to accurately analyze the reliability of all planning schemes during optimization of the TEP problem. In this paper, first, the necessity of performing an accurate analysis on transmission network reliability during multi-objective based optimization of the TEP problem is shown. Then, a practical approach is proposed for solving this problem. The main objective of the proposed approach which is based on classification of events and occurrences of faults, is to make it possible to more accurately analyze the reliability of transmission networks in order to make decisions on the multi-objective TEP, and to achieve a more accurate solution as well; so that the process is not time-consuming and the computational burden is low. To investigate the efficiency of the proposed approach, the modified Garver's network is used and the multi-objective TEP problem is solved using NSGA-II as optimization tool. The results are compared with those of conventional approach. The obtained results show the accuracy of the proposed approach in solving the TEP problem.
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