Peak load is a sensitive factor for planning and operation of power grids. Demand peaks impact network planning, since the electrical infrastructure of transmission and distribution (T&D) systems must be designed to support the maximum system demand.
Hence, peak load shaving is a preferred approach to cut peak load and smooth the load curve. This paper presents a novel and fast algorithm to evaluate optimal capacity of energy storage system within charge/discharge intervals for peak load shaving in a distribution network.
Peak load is a sensitive factor in distribution network, which happens periodically only for a small percentage of time per day. To provide peak load, a conventional approach involving capacity increase (small gas power plants and diesel generators) is traditionally used.
The peak power that can be reduced by an Energy Storage System (ESS) is limited by its energy storage capacity, maximum charge and discharge powers, and the load characteristics, which indicate how much energy the loads peak hold.
The maximum demand charge is usually imposed on the peak power point of the monthly load profile, hence, shaving demand at peak times is of main concern for the aforesaid stakeholders. In this paper, we present an approach for peak shaving in a distribution grid using a battery energy storage.
To provide peak load, a conventional approach involving capacity increase (small gas power plants and diesel generators) is traditionally used. However, this approach is not economically feasible and inefficient in the use of generators because it is used to maintain production capacity for only a few hours a day .