Optimal scheduling of prosumer's battery storage and flexible loads for distribution network support

Abstract

Here, an efficient Energy Management System (EMS) for residential installations is proposed. The EMS handles on site Photovoltaic (PV) power production along with Battery Energy Storage System (BESS) and performs load shifting under a Demand Side Management (DSM) scheme that considers user comfort. The goal of the proposed methodology is the minimization of power exchange between the prosumer and the grid. In this way, the power flow across the Distribution Network (DN) is decreased, thus reducing power losses, and improving the voltage profile along the DN. Moreover, the EMS increases the self-sufficiency of the residence. The minimization problem is solved via a metaheuristic algorithm, namely Unified Particle Swarm Optimization (UPSO) utilizing real consumption patterns for residential appliances. The latter adds complexity to the problem but offers accurate modelling of the power demand and improves the performance of the EMS scheme. The proposed EMS is locally implemented as a plug-and-play scheme and benefits both the prosumer and the DN under low computational burden, proving to be efficient. Simulation results for a case study verify the efficiency of the proposed EMS and the comparison with other similar methods proves its superior performance.

Recent developments of demand‐side management towards flexible DER‐rich power systems: A systematic review

“…Another optimal energy management framework was investigated for microgrids to schedule the demand response of TCLs in the presence of a DR program based on DLC, DERs (RESs), ESSs, and EVs [273], while in reference [274] the integration of hybrid RESs and ESSs is considered to optimize the demand response in the microgrids. The role of flexible loads in the DR program (load shifting and transfer) was investigated for optimal scheduling of microgrids considering the power quality constraints [275], and with the aid of the battery ESSs, the flexible loads were utilized for the same objective in reference [276]. Other studies considered the influence of EVs, hydrogen ESSs, RESs, EH systems, and DERs, as important resources to support the DR programs [277][278][279][280][281][282][283][284].…”

Collaborative optimization strategy of source‐grid‐load‐storage considering dynamic time series complementarity of multiple storages

“…where η evc is the charging efficiency of EVs; η evd is the discharging efficiency of EVs; E evc,t is the charging amounts of EVs in the t-period; E evc,t-1 is the charging amounts of EVs in the (t−1)-period; E evd,t is the discharging amounts of EVs in the t-period; E evd,t-1 is the discharging amounts of EVs in the (t−1)period; P evc,t is the charging powers of EVs in t-period; P evd,t is the discharging powers of EVs in t-period; ρ is the driving probability of EVs. In (2), when the self-use rate ρ of electric vehicles is not equal to zero, the energy consumption of electric vehicles considers the driving probability, driving speed, and energy required per kilometre, which is expressed in (3).…”

“…With an increase in the proportion of renewable energy in power systems, the system demand for flexible resources is further enhanced [1][2][3]. Multiple types of energy storage systems, such as battery storage, electric vehicles, and pumped storage systems, are widely used.…”

Comparative Performance Analysis of a Grid-Connected Photovoltaic Plant in Central Greece after Several Years of Operation Using Neural Networks

“…This includes smart office buildings' energy systems with rooftop PV systems exploiting electric vehicle battery storage [6], innovative building blocks in Germany with combined heat and power (CHP), battery storage and exploitation of electric vehicles storage [7], and modular packages of electric vehicle charging stations in China, designed to charge 1000 electric vehicles using PV and battery energy storage systems [8]. PV systems in combination with large-capacity battery systems is another important application area [9]. Here, an efficient energy management system that handles on-site PV production with battery energy storage minimizes power exchange with the grid.…”