![]() The account of the characteristics of different storage technologies, including the storage that may be suitable in a BTM application, are given in. ![]() The final device selection could be made based on any specific storage, utility, or user requirements. It is usually possible to find more than one suitable storage device for any storage project. To see how changes in policies could impact the profitability of the project, a potential benefit analysis for adding the device is undertaken using an existing market structure. As reported in, wind turbines could be deployed to provide grid services in this work, only the storage device is deployed for the grid services. Instead of feeding the excess locally generated wind energy to the grid, the work examines installing a 2 MW/4 MWh storage device to capture the excess energy-to increase self-consumption of wind energy while also using some capacity of the storage device for providing certain ancillary services to the grid. Currently, any excess energy production from the turbines is fed to the grid at a price fixed by the utility. The distribution network has two behind-the-meter (BTM) wind turbines which are connected to an alternating current electricity grid through an 11 kV substation. The local network is a campus site where the base load is 500 kW while the typical peak load is below 1500 kW. The addition of the storage device is modelled and technically analyzed using the NEPLAN 360 software while the economic feasibility of the storage project is assessed by estimating the likely payback period on investment. The work explores the other value streams that could make deploying the storage device more profitable at the distribution network. Moreover, as reported in, it is often uneconomical to deploy storage devices at high investment costs when the other possible storage application revenues are not considered. However, there is a knowledge gap in ascertaining the real value of deploying the storage at the specific locations having a unique network, market, and policy characteristics. It is well known that energy storage techniques could be used to capture renewable energy for later use. ![]() This work investigates the use of an energy storage device for increasing self-consumption of wind energy and providing market services within a distribution network having features given in. In, an energy management system that maximizes renewable energy utilization while providing certain ancillary services using a heat pump and a thermal energy storage system has been reported to help achieve cost saving, reduction of purchased energy imbalance from the grid, more reliable use of the heat pump, and a more stable surrounding temperature. ![]() The integrated distributed energy system was deployed to deal with the variability in loads and renewable supply. In, a multi-source energy storage model that consists of a conventional energy storage, multi-energy flow resources, and a demand response resource, at the demand and the supply sides, has been described for achieving economic self-management of energy through an intelligent control management method. The roles that DER may play in decarbonization within the distribution network through the provision of ancillary services have been described in. The procurement schemes and the emerging ancillary services that may be offered by the distributed resources are also described. In, the market designs for and the characteristics of different ancillary services are described with emphasis on the increasing role of DER in providing the ancillary services that have historically been provided by conventional synchronous generators. Policies that permit the integration of devices into the grid could increase the profitability of storage projects. The profitability of the project increased when the device is also deployed to provide stacked services across the electricity supply chain. With the addition of the storage device, self-consumption of wind energy increased by almost 10%. A storage potential benefit analysis suggests how changes in integration policies could affect the utility of adding the storage device. To observe the effects of adding the storage device to the network, a technical analysis is performed using the NEPLAN 360 modelling tool while an economic analysis is carried out by estimating the likely payback period on investment. To assess the benefits of adding a storage device to an electricity distribution network that has two wind turbines with a base load of 500 kW and a typical peak load under 1500 kW, a 2 MW/4 MWh storage is installed. Wind energy could be generated and captured with a storage device within the customer premises for local utilization and for the provision of various services across the electricity supply chain.
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