Crane energy storage policy

What is the optimal energy strategy for RTG cranes?

An adequate stochastic optimal energy strategy for a network of electrified RTG cranes system equipped with an ESS located on the side of the substation to feed more than a single crane is of great interest worldwide due to the potential of increasing energy cost saving and peak demand reduction in ports substations.

How to reduce the energy cost of the network of cranes?

In addition, reduction in the energy cost of the network of cranes is achieved by finding the optimal operation of the ESS based on the time-of-use electricity price. The electricity tariff from 07:00 until midnight is higher than the period of tariff during the rest of the day so it is beneficially to uses the tariff changes to minimise the cost.

How much does a RTG crane cost a year?

According to data provided by technical staff at the Port of Felixstowe and the energy cost analysis of RTG crane in , the annual electricity energy cost for a network of two RTG cranes is around £20,442. Fig. 12 presents the annual electricity energy cost saving in all the proposed control strategies.

How to control a RTG crane with an ESS?

Commonly, the control strategies for a RTG crane equipped with an ESS have mainly focused on using conventional set-point control strategy that use a reference value of voltage , State of Charge (SoC) or power to charge and discharge the energy storage device.

How energy storage technology can be used in power system networks?

There are a wide range of energy storage technologies that can be used in power system networks in order to increase energy cost saving and reduce peak demand. The batteries’ energy storage such as lithium-ion or NiCd batteries have been used widely mainly in ports and low voltage applications in power system networks , , .

What is the MPC scheme for RTG cranes with the ESS?

Outline of the MPC scheme for the network of RTG cranes with the ESS. The minimum cost function for the MPC controller, is described in (8), and has previously been applied by the authors to optimise the energy of an ESS by generating a control signal to minimise the peak demand and electricity energy cost .