Day-ahead optimization of user-side energy storage clusters for
To cope with the price uncertainty of renewable energy and the electricity market faced by energy storage cluster operation, this paper proposes a day-ahead optimization
The user-side energy storage system optimization configuration model proposed in this paper is a nonlinear, mixed-integer problem. The integer aspects mainly involve the decision variables in the outer optimization model: the rated capacity and rated charging/discharging power of the user-side energy storage system.
In the optimization configuration of the energy storage system on the user-side in Fig. 6, it is necessary to consider the constraints of high reliability power supply tasks on the capacity of the energy storage system on the user-side, as well as the impact of its actual output on the objective function.
According to the above analysis, in order to fill the research gap of the user-side energy storage system participating in the high reliability power supply transaction, this paper first proposes a high reliability power supply transaction model between the user-side energy storage system and the power grid company.
However, the high cost and relatively low returns pose challenges for industrial and commercial users to engage in energy storage operations, thereby constraining the development of user-side energy storage .
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