FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4221107704> ?p ?o ?g. }

• W4221107704 endingPage "13" @default.
• W4221107704 startingPage "1" @default.
• W4221107704 abstract "In deregulated electricity markets, generation companies (GENCO) try to maximize their economic benefits considering the electricity demand, transmission network condition, and other participants’ behaviors. The increasing penetration of renewable sources such as wind power generation with intermittent nature poses several challenges to the participation of GENCOs in the electricity market. Thus, this paper presents a stochastic bilevel optimization model to determine the coordinated bidding strategy of a wind-thermal GENCO with the aim of maximizing its profit in the day-ahead and real-time balancing market. Herein, the model aims to maximize the profit of GENCO in the day-ahead and the balancing market in the upper-level problem while minimizing the operation cost of the system in the lower-level problem. The uncertainties of wind power generation and electricity demand are modeled by defining a set of scenarios considering their mutual correlation using the copula technique. Additionally, incorporating AC power flow constraints in the proposed optimization model offers a better solution to the coordinated bidding strategy of the wind-thermal GENCO. Further, the nonlinear AC power flow equations are linearized using the piecewise approximation technique to reduce the computational complexity and enhance the accuracy of the optimal solution. In the end, the developed algorithm is implemented on the IEEE 24-bus RTS, and the simulation results are provided to validate the efficiency and applicability of the proposed coordinated bidding strategy model. The results advocate that the participation of the thermal unit along with the wind farm might mitigate the risk of uncertainties, but it causes an intense increase in the locational marginal price of the system. Importantly, the simulation results indicate the computational efficiency of the model by developing an exact AC power flow model without compromising the results. Notably, it has been found that the profit of the wind-thermal GENCO would be increased by 35.2% employing the copula technique to model the mutual correlation of uncertain parameters." @default.
• W4221107704 created "2022-04-03" @default.
• W4221107704 creator A5014181255 @default.
• W4221107704 creator A5040744179 @default.
• W4221107704 creator A5048985199 @default.
• W4221107704 creator A5085375325 @default.
• W4221107704 date "2022-03-29" @default.
• W4221107704 modified "2023-09-30" @default.
• W4221107704 title "Bidding Strategy of a Wind-Thermal GENCO considering Piecewise Linear AC Power Flow and Correlated Uncertainties" @default.
• W4221107704 cites W1570220941 @default.
• W4221107704 cites W2007541915 @default.
• W4221107704 cites W2033225140 @default.
• W4221107704 cites W2132366653 @default.
• W4221107704 cites W2148850199 @default.
• W4221107704 cites W2501936028 @default.
• W4221107704 cites W2576116431 @default.
• W4221107704 cites W2579314872 @default.
• W4221107704 cites W2614222091 @default.
• W4221107704 cites W2735311748 @default.
• W4221107704 cites W2737181110 @default.
• W4221107704 cites W2760324051 @default.
• W4221107704 cites W2760618585 @default.
• W4221107704 cites W2799547715 @default.
• W4221107704 cites W2809187803 @default.
• W4221107704 cites W2824805228 @default.
• W4221107704 cites W2884609720 @default.
• W4221107704 cites W2891767792 @default.
• W4221107704 cites W2902222807 @default.
• W4221107704 cites W2909413065 @default.
• W4221107704 cites W2962057611 @default.
• W4221107704 cites W2966493953 @default.
• W4221107704 cites W2972807029 @default.
• W4221107704 cites W2973544555 @default.
• W4221107704 cites W2976958763 @default.
• W4221107704 cites W2990999766 @default.
• W4221107704 cites W3016324999 @default.
• W4221107704 cites W3016959448 @default.
• W4221107704 cites W3027048588 @default.
• W4221107704 cites W3037595309 @default.
• W4221107704 cites W3047367788 @default.
• W4221107704 cites W3093263007 @default.
• W4221107704 cites W3117835408 @default.
• W4221107704 cites W3119866538 @default.
• W4221107704 cites W3134348511 @default.
• W4221107704 cites W3137158165 @default.
• W4221107704 cites W3168067188 @default.
• W4221107704 cites W3168856025 @default.
• W4221107704 cites W3186636167 @default.
• W4221107704 cites W3210263729 @default.
• W4221107704 doi "https://doi.org/10.1155/2022/6301902" @default.
• W4221107704 hasPublicationYear "2022" @default.
• W4221107704 type Work @default.
• W4221107704 citedByCount "2" @default.
• W4221107704 countsByYear W42211077042023 @default.
• W4221107704 crossrefType "journal-article" @default.
• W4221107704 hasAuthorship W4221107704A5014181255 @default.
• W4221107704 hasAuthorship W4221107704A5040744179 @default.
• W4221107704 hasAuthorship W4221107704A5048985199 @default.
• W4221107704 hasAuthorship W4221107704A5085375325 @default.
• W4221107704 hasBestOaLocation W42211077041 @default.
• W4221107704 hasConcept C116219307 @default.
• W4221107704 hasConcept C119599485 @default.
• W4221107704 hasConcept C121332964 @default.
• W4221107704 hasConcept C126255220 @default.
• W4221107704 hasConcept C127413603 @default.
• W4221107704 hasConcept C146733006 @default.
• W4221107704 hasConcept C162324750 @default.
• W4221107704 hasConcept C163258240 @default.
• W4221107704 hasConcept C175444787 @default.
• W4221107704 hasConcept C187633118 @default.
• W4221107704 hasConcept C188573790 @default.
• W4221107704 hasConcept C206658404 @default.
• W4221107704 hasConcept C33923547 @default.
• W4221107704 hasConcept C41008148 @default.
• W4221107704 hasConcept C423512 @default.
• W4221107704 hasConcept C62520636 @default.
• W4221107704 hasConcept C78600449 @default.
• W4221107704 hasConcept C89227174 @default.
• W4221107704 hasConcept C9233905 @default.
• W4221107704 hasConceptScore W4221107704C116219307 @default.
• W4221107704 hasConceptScore W4221107704C119599485 @default.
• W4221107704 hasConceptScore W4221107704C121332964 @default.
• W4221107704 hasConceptScore W4221107704C126255220 @default.
• W4221107704 hasConceptScore W4221107704C127413603 @default.
• W4221107704 hasConceptScore W4221107704C146733006 @default.
• W4221107704 hasConceptScore W4221107704C162324750 @default.
• W4221107704 hasConceptScore W4221107704C163258240 @default.
• W4221107704 hasConceptScore W4221107704C175444787 @default.
• W4221107704 hasConceptScore W4221107704C187633118 @default.
• W4221107704 hasConceptScore W4221107704C188573790 @default.
• W4221107704 hasConceptScore W4221107704C206658404 @default.
• W4221107704 hasConceptScore W4221107704C33923547 @default.
• W4221107704 hasConceptScore W4221107704C41008148 @default.
• W4221107704 hasConceptScore W4221107704C423512 @default.
• W4221107704 hasConceptScore W4221107704C62520636 @default.
• W4221107704 hasConceptScore W4221107704C78600449 @default.
• W4221107704 hasConceptScore W4221107704C89227174 @default.
• W4221107704 hasConceptScore W4221107704C9233905 @default.

• next