What is optimum planning of energy storage units (BES)?

Optimal planning of BES is a complex approach that determines the type, location, capacity and power rating of energy storage units. The optimization should handle the uncertain conditions and it requires to develop the appropriate models and methods. There are many effective components that should be addressed.

What are the factors affecting optimal battery planning?

The type, location, capacity and power rating of energy storage units are the main decision variables in optimal battery planning. However, the long-term optimization should be accomplished considering the optimal charge/discharge cycles. In real conditions an optimal scheduling i.e. OPF is required to be taken into account.

Can battery energy storage be implemented in a distribution network?

Generally, the battery energy storage (BES) can be implemented in the most buses of the distribution networks as the batteries have less environmental and non-technical constraints. However, the electrical considerations such as power follow, power loss, voltage regulation and etc. affect on optimal location of batteries .

What is battery energy storage (BES)?

Battery energy storage (BES) units have many advantages and are used for several purposes in electric systems and distribution grids. They are used not only for peak shaving and voltage regulation, but also for reliability enhancement and dispatching the renewable-based distributed generation (DG) sources.

Which scenario should a battery be charged/discharged optimally?

Consider the following scenarios: scenario-A: Charge/discharge battery optimally only for peak shaving; and, scenario-B: Charge/discharge battery optimally not only for peak shaving, but also for reliability improvement. In scenario-A the battery is charged/discharged to minimize the cost of purchased energy and power loss.

What are the parameters of energy storage system?

There are six parameters for energy storage systems which make distinguished of different technologies. Specific energy, energy density, specific power, power density, operating cost, efficiency, and cycle life are the main parameters which play important role in technology type choosing for different applications .