DCOPF-Based LMP simulation: algorithm, comparison with ACOPF, and sensitivity

By Fangxing Li, Rui Bo. IEEE/PES Transmission and Distribution Conference and Exposition, 2007

237 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/a9cfe22a6ac4129923e9f2f6ce36dde04684ac49

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In Electrical and Electronic Engineering

1. Fangxing Li
2. Rui Bo
3. Jianhui Wang
4. Xin Fang
5. Qinran Hu
6. Yang Li
7. Beibei Wang
8. Linquan Bai

Citations in the corpus

• Coupon-Based Demand Response Considering Wind Power Uncertainty: A Strategic Bidding Model for Load Serving Entities (2016, methodology): “Due to the linearity of DCOPF [21], [33], its optimal solution should be unique and satisfies the KarushKuhn-Tucher (KKT) optimality conditions.”
• Probabilistic LMP Forecasting Considering Load Uncertainty (2009, methodology): “Approaches for dc optimal power flow (DCOPF) have been applied in [6], [14], and [15].”
• Distribution Locational Marginal Pricing (DLMP) for Congestion Management and Voltage Support (2018, methodology): “3) Loss Factor and Fictitious Nodal Demand: The loss factor and Fictitious Nodal Demand (FND) model [32], [33] are employed in this paper to represent network losses.”
• Novel Linearized Power Flow and Linearized OPF Models for Active Distribution Networks With Application in Distribution LMP (2018, background): “The loss factors are formed based on the DC power flow result [4].”