Multiobjective power expansion planning in the planning horizon

Zakerinia, Mohammadsaleh; Torabi, S. Ali

doi:10.1109/citres.2010.5619813

Cited by 2 publications

(4 citation statements)

References 14 publications

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“…Different models have thus far been proposed for the composite GEP and transmission expansion planning (TEP) problem, such as static models [6][7][8] and dynamic models [9][10][11]. Besides, some models are single-objective [12][13][14] while some of them are multiobjective [15][16][17][18]. Asensio et al [19] proposed a sustainable expansion planning in distribution systems and Bagheri et al [20] focused on increasing the renewable energy contribution and ultimately, implementing 100% renewable energies.…”

Section: Literature Reviewmentioning

confidence: 99%

“…As it has been previously mentioned, the candidate unit generates power provided that the binary variable of the planning horizon Gn kiy is '1'. The DC power flow equations have been represented in the relationships (10)- (15). In this respect, the value of the parameter M is chosen big enough so that constraints (12) and (13) which include the binary variable relating to selecting the candidate lines in year y is mathematically satisfied [13].…”

Section: Problem Formulationmentioning

confidence: 99%

“…The power flow equations are based on the incidence matrix which has been represented in detail in [33]. It is noted that the bus voltage angle of the reference bus is considered zero as (15). Equation (16) shows the hourly power balance equation taking into consideration the new generating units and transmission lines.…”

Section: Problem Formulationmentioning

confidence: 99%

“…Different models have thus far been proposed for the composite GEP and transmission expansion planning (TEP) problem, such as static models [6–8] and dynamic models [9–11]. Besides, some models are single‐objective [12–14] while some of them are multi‐objective [15–18]. Asensio et al .…”

Section: Introductionmentioning

confidence: 99%

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Assessing the benefits of capacity payment, feed‐in‐tariff and time‐of‐use programme on long‐term renewable energy sources integration

et al. 2019

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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.

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