Assessing the benefits of capacity payment, feed‐in‐tariff and time‐of‐use programme on long‐term renewable energy sources integration. Issue 4 (30th August 2019)

• Record Type: Journal Article
• Authors: Javadi, Mohammad Sadegh; Nezhad, Ali Esmaeel; Shafie‐khah, Miadreza; Siano, Pierluigi; Catalão, João P.S.
• Is Part Of: IET smart grid. Volume 2:Issue 4(2019)
• Page Start: 602
• Page End: 611
• Publication Date: 2019-08-30
• Subjects: optimisation -- power system planning -- power transmission planning -- demand side management -- power markets -- linear programming -- tariffs -- integer programming -- power generation economics -- renewable energy sources -- power generation planning; capacity payment -- feed‐in‐tariff -- time‐of‐use programme -- long‐term renewable energy sources integration -- response programmes -- DRPs -- electric power systems -- power system planning -- long‐term behaviour -- load demands -- transmission expansion planning -- future load demand -- composite GEP–TEP problem -- ToU programme -- supportive programmes -- feed‐in tariff mechanisms -- expansion planning problem -- IEEE Reliability Test System -- RESs integration; B0260 Optimisation techniques -- B8110B Power system management, operation and economics -- B8110D Power system planning and layout; Smart power grids -- Periodicals; Computer science -- Periodicals; Energy industries -- Periodicals; Broadcasting -- Periodicals; 333.79110285
• DOI: 10.1049/iet-stg.2018.0298
• Languages: English
• ISSNs: 2515-2947

Abstract

Abstract : Recently, demand response programmes (DRPs) have captured great attention in electric power systems. DRPs such as time‐of‐use (ToU) programme can be efficiently employed in the power system planning to reform the long‐term behaviour of the load demands. The composite generation expansion planning (GEP) and transmission expansion planning (TEP) known as composite GEP–TEP is of high significance in power systems to meet the future load demand of the system and also integrate renewable energy sources (RESs). In this regard, this study presents a dynamic optimisation framework for the composite GEP–TEP problem taking into consideration the ToU programme and also, the incentive‐based and supportive programmes. Accordingly, the performances of the capacity payment and feed‐in tariff mechanisms and the ToU programme in integrating RESs and reducing the total cost have been evaluated in this study. The problem has been formulated and solved as a standard two‐stage mixed‐integer linear programming model aimed at minimising the total costs. In this model, the ToU programme is applied and the results are fed into the expansion planning problem as the input. The proposed framework is simulated on the IEEE Reliability Test System to verify the effectiveness of the model and discuss the results obtained from implementing the mentioned mechanisms to support the RESs integration.