An expansion planning method for extending distributed energy system lifespan with energy storage systems

Abstract

The recent advances in the modern power grids, such as growing energy demand and penetration of higher amounts of distributed energy generators like renewable energy resources, caused additional grid integration challenges for the distributed energy system operators. Besides, deep electrification impacts triggered by a growing share of electric vehicles as additional electric loads made it essential for the distributed energy system operators to re-investigate their upgrade plans in terms of distributed energy system lines and corresponding infrastructure investments. An energy storage system offers the opportunity to use energy flexibly, resulting in deferring the inevitable upgrade costs of the distribution grid elements and increasing the power quality. In this study, a new method is proposed to extend the lifespan of distributed energy systems with an energy storage system and reduce line upgrade costs. The proposed method is tested on the IEEE-33 with different case studies. The findings of this study indicated that the investigated energy storage option has a positive impact on the distributed energy system components and assets in terms of extending their lifespan and helping to mitigate growing demand peaks because of the load increase. According to the results, the proposed method reduces the total cost by up to 66%. Furthermore, the power losses are reduced by an average of 34.8%, and the voltage profiles are improved with the energy storage system.

Modelling and Optimisation of Green Energy Systems Based on Complementary Integration of Renewable Energy, 1-9.

“…Tercan et al proposed a method to extend the lifespan of distributed energy systems, which combines energy storage systems to improve energy utilisation flexibility, thereby improving power quality and achieving the goal of reducing line costs. This method can reduce the total cost by 65% and reduce system losses by 34% [10].…”

“…The paper predicts the demand for heat, electricity, cooling and gas through the annual load of the user side, and takes the dynamic equilibrium of the load of heat, electricity, and gas as the demand side constraint condition. The expression of the thermal load balance constraint is (10).…”

“…In (10), the heat storage capacity of the heat accumulator in the previous step of time t is Q t−∆t ha . The heat generation of the internal combustion engine and air source heat pump at time t, as well as the boiler makeup heat, are represented by Q t ice , Q t hp , and Q t b , respectively.…”

A comprehensive review of recent advances in optimal allocation methods for distributed renewable generation

“…ODGA may improve voltage stability [9], reliability [10], and DN loading ability [11] and reduce power losses and harmonic distortion [12]. Besides, ODGA can reduce unit energy cost and peak loading [13] and defer the distribution expansion [14] and infrastructure upgrade investment [15]. However, improper allocation of DG may cause protection equipment to malfunction and reverse the benefits due to the increase of short circuit current [16,17].…”

A Comprehensive Data Analysis of Electric Vehicle User Behaviors Toward Unlocking Vehicle-to-Grid Potential

“…Load shifting may significantly reduce the impact of an EV fleet on the grid. Furthermore, peak loading caused by the increased popularity of EVs and uncontrolled charging loads may prioritize system replacement/investment costs [21], [22]. The development of smart-charging control strategies could reduce peak load and shift energy demand by discharging during daily peaks and charging during low demand (overnight, off-peak hours).…”