-
Members: FreePES
IEEE Members: $25.00
Non-members: $40.00Length: 00:14:58
Panel
14 Sep 2022
This panel session video contains the following presentations:
1. Analysis of Fast Method of Electricity Prices in Scenarios of High Penetration of Renewable Energy Resources
In order to realize a carbon-neutral society in 2050, it is necessary to ensure the large-scale introduction of renewable energy without fail. Furthermore, from the viewpoint of the investment in power plants in the future, electricity market prices are also important factors. Therefore, various future scenarios should be analyzed to understand whether it will be possible to achieve equilibrium between electricity supply and demand and secure flexibility. In order to investigate future scenarios, the Unit Commitment (UC) method has been used in many studies. However, the analysis of the UC problem using the Mixed Integer Linear Programming (MILP) method has a heavy computational burden. This paper proposes a method to reduce the calculation time significantly. In the proposed method, the binary variables in the MILP are replaced by real variables in the UC and calculated using the Linear Programming Relaxation method. In the numerical experiment, the calculation accuracy for market prices is validated for scenarios of high penetration of renewable energy.
1. Analysis of Fast Method of Electricity Prices in Scenarios of High Penetration of Renewable Energy Resources
In order to realize a carbon-neutral society in 2050, it is necessary to ensure the large-scale introduction of renewable energy without fail. Furthermore, from the viewpoint of the investment in power plants in the future, electricity market prices are also important factors. Therefore, various future scenarios should be analyzed to understand whether it will be possible to achieve equilibrium between electricity supply and demand and secure flexibility. In order to investigate future scenarios, the Unit Commitment (UC) method has been used in many studies. However, the analysis of the UC problem using the Mixed Integer Linear Programming (MILP) method has a heavy computational burden. This paper proposes a method to reduce the calculation time significantly. In the proposed method, the binary variables in the MILP are replaced by real variables in the UC and calculated using the Linear Programming Relaxation method. In the numerical experiment, the calculation accuracy for market prices is validated for scenarios of high penetration of renewable energy.
Chairs:
Mohamed Shaaban
