Benders Decomposition on Large-Scale Unit Commitment Problems for Medium-Term Power Systems Simulation

2017 ◽  
pp. 179-184
Author(s):  
Andrea Taverna
Keyword(s):  
Power Systems ◽  
Large Scale ◽  
Benders Decomposition ◽  
Unit Commitment ◽  
Medium Term ◽  
Scale Unit ◽  
Systems Simulation ◽  
Commitment Problems

scholarly journals Pan-European CVaR-Constrained Stochastic Unit Commitment in Day-Ahead and Intraday Electricity Markets

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2339
Author(s):  
Moritz Nobis ◽  
Carlo Schmitt ◽  
Ralf Schemm ◽  
Armin Schnettler
Keyword(s):  
Power Systems ◽  
Electricity Markets ◽  
Large Scale ◽  
Benders Decomposition ◽  
Unit Commitment ◽  
Energy System ◽  
Optimization Approach ◽  
Phase Out ◽  
Forecasting Errors ◽  
Intraday Market

The fundamental modeling of energy systems through individual unit commitment decisions is crucial for energy system planning. However, current large-scale models are not capable of including uncertainties or even risk-averse behavior arising from forecasting errors of variable renewable energies. However, risks associated with uncertain forecasting errors have become increasingly relevant within the process of decarbonization. The intraday market serves to compensate for these forecasting errors. Thus, the uncertainty of forecasting errors results in uncertain intraday prices and quantities. Therefore, this paper proposes a two-stage risk-constrained stochastic optimization approach to fundamentally model unit commitment decisions facing an uncertain intraday market. By the nesting of Lagrangian relaxation and an extended Benders decomposition, this model can be applied to large-scale, e.g., pan-European, power systems. The approach is applied to scenarios for 2023—considering a full nuclear phase-out in Germany—and 2035—considering a full coal phase-out in Germany. First, the influence of the risk factors is evaluated. Furthermore, an evaluation of the market prices shows an increase in price levels as well as an increasing day-ahead-intraday spread in 2023 and in 2035. Finally, it is shown that intraday cross-border trading has a significant influence on trading volumes and prices and ensures a more efficient allocation of resources.

Investigation of solution techniques of unit commitment problems: A review

2021 ◽  
pp. 0309524X2199244
Author(s):  
Vineet Kumar ◽  
Ram Naresh ◽  
Amita Singh
Keyword(s):  
Power Systems ◽  
Planning Process ◽  
Unit Commitment ◽  
Operational Planning ◽  
Recent Past ◽  
Research Papers ◽  
Start Up ◽  
Subsequent Step ◽  
Commitment Problems ◽  
Published Research

The Unit Commitment (UC) is a significant act of optimization in day-to-day operational planning of modern power systems. After load forecasting, UC is the subsequent step in the planning process. The electric utilities decide in advance which units are to start-up, when to connect them to the network, the sequence in which the generating units should be shut down and for how long. In view of the above, this paper attempts on presenting a thorough and precise review of the recent approaches applied in optimizing UC problems, incorporating both stochastic and deterministic loads, based on various peer reviewed published research papers of reputed journals. It emphasizes on non-conventional energy and distributed power generating systems along with deregulated and regulated environment. Along with an overview, a comprehensive analysis of the UC algorithms reported in the recent past since 2015 has been discussed for the assistance of new researchers concerned with this domain.

Absolutely Stochastic Simulated Annealing Approach to Large Scale Unit Commitment Problem

2006 ◽  
Vol 34 (6) ◽  
pp. 619-637 ◽  
Author(s):  
Tomonobu Senjyu ◽  
Ahmed Yousuf Saber ◽  
Tsukasa Miyagi ◽  
Naomitsu Urasaki ◽  
Toshihisa Funabashi
Keyword(s):  
Simulated Annealing ◽  
Large Scale ◽  
Unit Commitment ◽  
Unit Commitment Problem ◽  
Scale Unit ◽  
Commitment Problem
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