The high cost of energy storage limits the allocation of more energy storage in planning models with economic optimality as the objective function. This section further discusses the impact of energy storage costs on the coordination planning of transmission network and energy storage.
From the data in Table 6, it can be seen that the nodes where energy storage is configured are mainly nodes 4 and 13. The addition of lines 14–15 is to meet the power plant dispatching needs at node 15, and the addition of lines 21–22 is to meet the new energy dispatching needs at node 22.
Based on the IEEE-24 node system and a case study in a northern province of China, the results show that the proposed method reduces investment costs by approximately 30% compared to static planning methods and by about 7.79% compared to conventional grid planning methods. Furthermore, this method can accommodate more renewable energy. 1.
The objective function minimizes the sum of the optimization configuration cost and the operation and maintenance cost of the energy storage system. The constraints include capacity constraints, as well as constraints on charging and discharging power and state of charge. The energy storage optimization configuration model is formulated as follows:
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