Application of information-gap decision theory to risk-constrained self-scheduling of GenCos

By Behnam Mohammadi-Ivatloo, H. Zareipour, Nima Amjady, Mehdi Ehsan. IEEE Transactions on Power Systems, 2013

194 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/9e924be7f40bad6c7d4e71953a10c42f328efcbf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Joy Chandra Mukherjee
2. Arobinda Gupta
3. Behnam Mohammadi-Ivatloo
4. A. Knight
5. Soroush Shafiee
6. H. Zareipour
7. Nima Amjady
8. Rafal Weron

In Safety, Risk, Reliability and Quality

1. Joy Chandra Mukherjee
2. Arobinda Gupta
3. Nima Amjady

Citations in the corpus

• Decision making under uncertainty in energy systems: state of the art (2013, unknown): “bound model [20], as follows: x ∈ U(α, x̃) (23) U(α, x̃) = ∣”
• Risk-Constrained Bidding and Offering Strategy for a Merchant Compressed Air Energy Storage Plant (2017, methodology): “Furthermore, information gap decision theory (IGDT) is applied in [18]–[20] to manage the risk of price forecast fluctuations in self-scheduling and bidding strategies of generation units.”
• A Review of Charge Scheduling of Electric Vehicles in Smart Grid (2015, methodology): “To tackle these uncertainties, several uncertainty modeling tools have been used such as information gap decision theory [73]–[75], probabilistic approach (Monte Carlo simulation [38], point estimate method [76], scenario-based decision making [76]), possibilistic approach [77], [78], robust optimiz”