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:: Volume 6, Issue 2 (3-2018) ::
ieijqp 2018, 6(2): 56-66 Back to browse issues page
Dynamic Transmission Expansion Planning in Re-structured Power Systems considering Demand Response
Kazem Ameli1 , Mohammad R. Aghaebrahimi * 1, Hamid Falaghi1
1- University of Birjand
Abstract:   (5186 Views)

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.

Keywords: Multi-objective optimization, Transmission expansion planning, Demand Response, Harmony Search
Full-Text [PDF 1582 kb]   (2025 Downloads)    
Type of Study: Research | Subject: Special
Received: 2017/06/9 | Accepted: 2017/11/21 | Published: 2018/03/7
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Ameli K, Aghaebrahimi M R, Falaghi H. Dynamic Transmission Expansion Planning in Re-structured Power Systems considering Demand Response. ieijqp 2018; 6 (2) :56-66
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Volume 6, Issue 2 (3-2018) Back to browse issues page
نشریه علمی- پژوهشی کیفیت و بهره وری صنعت برق ایران Iranian Electric Industry Journal of Quality and Productivity
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