Transmission and Wind Power Investment
By Luis Baringo, Antonio J. Conejo. IEEE Transactions on Power Systems, 2012
185 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/acacd2a822e48f045e8b61431ce0acb12d10127d
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In Electrical and Electronic Engineering
- S. F. Fatemi Ghomi
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Citations in the corpus
- Transmission Planning Under Uncertainties of Wind and Load: Sequential Approximation Approach (2013, methodology): “They are assumed to be independent in [19] and uncertainties are represented by separated but correlated wind and load duration curves in [20].”
- A Fast Solution Method for Stochastic Transmission Expansion Planning (2017, background): “Consequently, it is necessary to accommodate the wind power in TEP [4]-[6], which is important but difficult due to its intermittency and unpredictability.”
- Toward Fully Renewable Electric Energy Systems (2015, unknown): “Reference [7] proposes a mathematical model”
- Bi-Level Game Approaches for Coordination of Generation and Transmission Expansion Planning Within a Market Environment (2013, background): “Very recently, bi-level models have been used to tackle the wind power plus transmission investment problem [18], [19].”
- Storage-like devices in load leveling: Complementarity constraints and a new and exact relaxation method (2015, methodology): “Such MPEC problems are usually transformed into mixed-integer programming (MIP) problems [16,32–34].”
- Security Constrained Multi-Stage Transmission Expansion Planning Considering a Continuously Variable Series Reactor (2017, background): “87 hours, which is acceptable for a planning study [35].”
- Does renewable energy generation decrease the volatility of electricity prices? An analysis of Denmark and Germany (2017, unknown): “In [19], Baringo and Conejo use a similar MPEC framework to model a central planner that simultaneously invests in wind power and reinforces transmission lines in an illustrative network with discrete scenarios of demand and wind power production at various levels of subsidies for wind power.”