Control-Oriented Evaluation of Microgrid: Rule-Based vs. Heuristic and LP Strategies

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21720%2F25%3A00388991" target="_blank" >RIV/68407700:21720/25:00388991 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.procs.2025.12.087" target="_blank" >https://doi.org/10.1016/j.procs.2025.12.087</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.procs.2025.12.087" target="_blank" >10.1016/j.procs.2025.12.087</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Control-Oriented Evaluation of Microgrid: Rule-Based vs. Heuristic and LP Strategies

Popis výsledku v původním jazyce

Effective control of energy systems is crucial for ensuring the stability and efficiency of microgrids. In particular, smart management of battery charge and discharge cycles enables better alignment between supply and demand, reduces grid dependency, and optimizes renewable integration. To achieve this, implementing advanced control strategies further enhances the resilience and operational flexibility in modern energy systems. This paper proposes a rule-based energy management strategy for a grid-connected photovoltaic (PV) and battery storage system in a microgrid (MG), aimed at achieving reliable and efficient operation under varying weather conditions. The control system is designed to regulate the battery’s state of charge (SOC), balance power flows among the different energy systems, and minimize grid stress, particularly during peak demand or fluctuating solar output. The MG system is tested under clear-day and cloudy-day conditions. To assess its effectiveness, the proposed method is compared with two reference strategies from the literature: a heuristic approach based on predefined state transitions and a linear programming (LP) optimization method that minimizes energy cost over a 24-hour horizon. Simulation results demonstrate that the rule-based controller ensures stable SOC variation and reduced dependence on grid power, while offering a more adaptable alternative to the more rigid heuristic and computational linear programming strategies.

Název v anglickém jazyce

Control-Oriented Evaluation of Microgrid: Rule-Based vs. Heuristic and LP Strategies

Popis výsledku anglicky

Effective control of energy systems is crucial for ensuring the stability and efficiency of microgrids. In particular, smart management of battery charge and discharge cycles enables better alignment between supply and demand, reduces grid dependency, and optimizes renewable integration. To achieve this, implementing advanced control strategies further enhances the resilience and operational flexibility in modern energy systems. This paper proposes a rule-based energy management strategy for a grid-connected photovoltaic (PV) and battery storage system in a microgrid (MG), aimed at achieving reliable and efficient operation under varying weather conditions. The control system is designed to regulate the battery’s state of charge (SOC), balance power flows among the different energy systems, and minimize grid stress, particularly during peak demand or fluctuating solar output. The MG system is tested under clear-day and cloudy-day conditions. To assess its effectiveness, the proposed method is compared with two reference strategies from the literature: a heuristic approach based on predefined state transitions and a linear programming (LP) optimization method that minimizes energy cost over a 24-hour horizon. Simulation results demonstrate that the rule-based controller ensures stable SOC variation and reduced dependence on grid power, while offering a more adaptable alternative to the more rigid heuristic and computational linear programming strategies.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/EH22_008%2F0004617" target="_blank" >EH22_008/0004617: Konverze a skladování energie</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Procedia Computer Science

ISBN

—

ISSN

1877-0509

e-ISSN

1877-0509

Počet stran výsledku

8

Strana od-do

888-895

Název nakladatele

Elsevier B.V.

Místo vydání

Amsterdam

Místo konání akce

Praha

Datum konání akce

20. 11. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—