Is a two-layer optimal configuration model based on Sess compared to self-built energy storage?

In Wu et al. (2021a), a two-layer optimal configuration model of combined cooling, heating, and power MMG system considering the SESS is established to verify the economic advantages of SESS in the MMG system compared with self-built energy storage in each MG.

What is the upper energy storage configuration model?

Second, the upper energy storage configuration model is constructed by introducing shared energy storage in the multi-microgrid–integrated energy system to improve the system’s flexibility, with the optimization goal of the maximum annual profitability of shared energy storage.

Can a shared energy storage system reduce cost?

Wu et al. (2019) proposed a day-ahead optimal scheduling method for the combined cooling, heating, and power MMG system with a shared energy storage system (SESS), which reduces the system’s cost by coordinating the interactive electrical power between each MG and SESS.

What is a dual-layer optimization model?

Schematic diagram of the dual-layer optimization model. The optimization aim is meant to maximize the annual profit of the SESS, considering the construction investment and operation and maintenance costs, and the expression of the objective function is as follows:

Does the two-layer optimization model work in modified IEEE 33-node systems?

The two-layer optimization model and its solution strategy are presented, and considering different intelligence algorithms, the comparative verification of the proposed approach in the modified IEEE 33-node and 118-node systems is carried out. The major findings of this work are summarized below.

How does the allocation of energy storage capacity affect decision variables?

In an MMG-integrated energy system, the allocation of energy storage capacity affects the decision variables in the optimal dispatch issue. At the same time, the carbon and economic costs of system operation also influence the allocation of energy storage capacity.