Assessing the Cost of Network Simplifications in Long-Term Hydrothermal Dispatch Planning Models
Andrew W. Rosemberg, Alexandre Street, Joaquim Dias Garcia, Davi M., Vallad\~ao, Thuener Silva, Oscar Dowson

TL;DR
This paper evaluates the impact of various network simplification methods on long-term hydrothermal dispatch planning, revealing that simpler DC models with quadratic losses can outperform more complex relaxations in cost accuracy and computational efficiency.
Contribution
It extends the cost-assessment framework by comparing multiple network approximations using AC power flow, providing practical insights into their performance and computational trade-offs.
Findings
DC power flow with quadratic losses yields lowest expected costs.
Semidefinite programming relaxation is computationally intensive and less effective.
Simpler DC models reduce market distortions compared to complex relaxations.
Abstract
The sustainable utilization of hydro energy relies on accurate estimates of the opportunity cost of the water. This value is calculated through long-term hydrothermal dispatch problems (LTHDP), and the recent literature has raised awareness about the consequences of modeling simplifications in these problems. The inaccurate representation of Kirchhoff's voltage law under the premise of a DC power flow is an example. Under a non-linear AC model, however, the LTHDP becomes intractable, and the literature lacks an accurate evaluation method of different modeling alternatives. In this paper, we extend the state-of-the-art cost-assessment framework of network approximations for LTHDP and bring relevant and practical new insights. First, we increase the quality of the assessment by using an AC power flow to simulate and compare the performance of five policies based on different network…
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Taxonomy
TopicsElectric Power System Optimization · Optimal Power Flow Distribution · Integrated Energy Systems Optimization
