Abstract
Renewable energy (RE) integration into the power grid is steadily growing that effectively reducing the electricity generation cost, however, leads to additional consequences. Unit commitment (UC) problem often cited in discussing these issues. This paper proposes an approach to look at these issues by utilizing the Multi-agent Immune incorporating Evolutionary Priority List (MAI-EPL) technique for solving the UC problem with the consideration of RE resources, as an effort to reduce the operation cost without affecting the existing power system reliability. The employed test systems consider 10 thermal generating units with additional solar and wind resources in a 24-hours scheduling period. The results show that the MAI-EPL technique is capable of producing a satisfactory outcome to the UC problem with RE consideration.
Highlights
In recent years, renewable energy (RE) is having significant growth
This paper proposes an approach to look at these issues by utilizing the Multi-agent Immune incorporating Evolutionary Priority List (MAI-EPL) technique for solving the unit commitment (UC) problem with the consideration of RE resources, as an effort to reduce the operation cost without affecting the existing power system reliability
The MAI-EPL technique has been applied to the 10 units test system with the addition of the forecasted wind and solar resources [11]
Summary
The integration of RE into the power grid is happening, where, its main reason is to reduce the electricity generation cost [1], [2] This addition will for sure lead to new circumstances and challenges especially issues related to the process of deciding the best configuration of available resources to supply electrical energy or known as unit commitment (UC) [1], [3]. The current solutions to the UC problem need to be updated so it will comply with the RE consideration It is vital in the field of UC optimization to acquire a commitment schedule with optimal qualities, especially the test system operational cost and solution consistency without jeopardizing the grid system reliability. The analysis uses 10 generating units with solar and wind energy test system and considers common constraints correlated to the UC problem
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