Optimal Scheduling of Joint Wind-Thermal Systems

Laia, Rui; Pousinho, Hugo Miguel Inácio; Melício, Rui; Mendes, V.M.F.

doi:10.1007/978-3-319-47364-2_14

Cited by 2 publications

(2 citation statements)

References 20 publications

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“…Aiming at these difficulties, a reasonable trade-off between the risk and total operating cost is desired. Therefore, it is clearly understood that optimal scheduling incorporating the wind power should also take care of factors involved in the uncertainty in addition to operating cost (Laia et al, 2016).…”

Section: Optimal Wind-thermal Scheduling: Problem Formulationmentioning

confidence: 99%

Optimal Wind-Thermal Coordination Scheduling Considering Reserve Requirement

Jung¹,

Salkuti²

2019

Int J Math, Eng, Manag Sci

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This paper proposes an optimal coordination scheduling methodology for a wind-thermal power system by considering the intermittent behavior of wind power and load demands. The optimum amount of spinning reserves (SRs) needed to handle the uncertain nature of hybrid power system with wind generators is determined by using the probability analysis. The proposed model demonstrates the error in wind power and load forecasts by using the probability distribution functions for over and under estimations of load and wind power. In this work, two objectives, i.e., total operating cost and risk level are considered, which handles both economical and reliability issues, simultaneously. This problem is solved by using the meta-heuristic based Cuckoo search algorithm. The reactive power capability limits of synchronous generators and variable speed doubly fed induction generators are considered in this paper. Simulations have been carried out on IEEE 300 bus system.

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Section: Optimal Wind-thermal Scheduling: Problem Formulationmentioning

confidence: 99%

Optimal Wind-Thermal Coordination Scheduling Considering Reserve Requirement

Jung¹,

Salkuti²

2019

Int J Math, Eng, Manag Sci

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“…For the WP producers (WPP), WP and the market-clearing EPr Uncer are to be addressed in order to know the amount of energy to produce in order to present optimal offers. In absence of conformity, i.e., there is a deviation (Dev), economic penalizations is due to happen [7]. For Ther power producers, only market-clearing EPr Uncer have to be addressed.…”

Section: Introductionmentioning

confidence: 99%

Self-scheduling of Wind-Thermal Systems Using a Stochastic MILP Approach

Laia

Gomes

Pousinho

et al. 2017

IFIP Advances in Information and Communication Technology

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Abstract. In this work a stochastic (Stoc) mixed-integer linear programming (MILP) approach for the coordinated trading of a price-taker thermal (Ther) and wind power (WP) producer taking part in a day-ahead market (DAM) electricity market (EMar) is presented. Uncertainty (Uncer) on electricity price (EPr) and WP is considered through established scenarios. Thermal units (TU) are modelled by variable costs, start-up (ST-UP) technical operating constraints and costs, such as: forbidden operating zones, minimum (Min) up/down time limits and ramp up/down limits. The goal is to obtain the optimal bidding strategy (OBS) and the maximization of profit (MPro). The wind-Ther coordinated configuration (CoConf) is modelled and compared with the unCoConf. The CoConf and unCoConf are compared and relevant conclusions are drawn from a case study.

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Optimal Scheduling of Joint Wind-Thermal Systems

Cited by 2 publications

References 20 publications

Optimal Wind-Thermal Coordination Scheduling Considering Reserve Requirement

Optimal Wind-Thermal Coordination Scheduling Considering Reserve Requirement

Self-scheduling of Wind-Thermal Systems Using a Stochastic MILP Approach

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