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

Author:

Kelepouris Nikolaos S.1,Nousdilis Angelos I.1,Bouhouras Aggelos S.1,Christoforidis Georgios C.1

Affiliation:

1. Department of Electrical and Computer Engineering University of Western Macedonia Kozani Greece

Abstract

AbstractHere, 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.

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Congestion Management in coupled TSO and DSO networks;Electric Power Systems Research;2024-04

2. Distribution System Optimal Operation of Smart Homes with Battery and Equivalent HVAC Energy Storage for Virtual Power Plant Controls;2023 IEEE Energy Conversion Congress and Exposition (ECCE);2023-10-29

3. Battery Energy Storage Systems for the New Electricity Market Landscape: Modeling, State Diagnostics, Management, and Viability—A Review;Energies;2023-08-31

4. Prosumer energy management under controllable power transactions with the grid;2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe);2023-06-06

5. Collaborative optimization strategy of source‐grid‐load‐storage considering dynamic time series complementarity of multiple storages;IET Generation, Transmission & Distribution;2023-05-25

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