Abstract

In order to realize a carbon-neutral society by 2050, it is necessary to ensure the large-scale introduction of renewable energy. 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, demand and flexibility. In order to investigate future scenarios, the Unit Commitment (UC) method has been used in many studies. However, 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.

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