Optimal Generation Mix With Short-Term Demand Response and Wind Penetration

By Cedric De Jonghe, Benjamin F. Hobbs, Ronnie J. M. Belmans. IEEE Transactions on Power Systems, 2012

267 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/d42ab4c768afaecc6f2da393f5b2a51f362dddf9

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In Electrical and Electronic Engineering

Citations in the corpus

Flexibility mechanisms and pathways to a highly renewable US electricity future (2016, unknown): “[62]), and facilitating renewable energy integration (e.”
Challenges and barriers to demand response deployment and evaluation (2015, background): “There is now a need for these models to be enhanced in order to better account for the unique characteristics of the demand side [14].”
An Engineering-Economic Approach to Transmission Planning Under Market and Regulatory Uncertainties: WECC Case Study (2014, background): “, demand response and electric vehicles, can affect the optimal transmission and generation investment plans [65]–[68].”
Benefits and challenges of electrical demand response: A critical review (2014, methodology): “Flat rate tariffs are widely accepted as highly inefficient, and the introduction of time varying prices presents substantial potential for increases to consumer welfare [20,26,40].”
MOD-DR: Microgrid optimal dispatch with demand response (2017, background): “As for DR that pursues changes in consumption patterns through incentive payments or price of electricity [39], there are several solution groupings, which focus on direct load control [40,41,15], price elasticity [42,43], utility maximization [44], and integrated operational models [45].”
Co-optimization of electricity transmission and generation resources for planning and policy analysis: review of concepts and modeling approaches (2016, background): “Because different types of investments have different effects on system flexibility, a long-term planning problem must also account for such operational reserve allocations when evaluating those investments [8, 59, 65].”
Microgrid to enable optimal distributed energy retail and end-user demand response (2018, background): “On top of the former commonly adopted economic incentives [18,24,25,28,29], the environmental impact, f Env t ðxt ; ztÞ, measured by the amount of carbon dioxide (CO2) emissions, is incorporated to encourage the use of renewable energy and natural gas in favor of grid electricity.”
How to engage consumers in demand response: A contract perspective (2013, background): “…or nuclear generation by shifting demand to times when there is more renewable power available, making (local) balancing easier and reducing overall system costs (De Jonghe et al., 2012; Dietrich et al., 2012; Moura and de Almeida, 2010; Redpoint Energy and Element Energy, 2012; Stadler, 2008).”