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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

Project

<a href="/en/project/EH22_008%2F0004617" target="_blank" >EH22_008/0004617: Energy conversion and storage</a><br>

Continuities

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

Publication year

2025

Confidentiality

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

Article name in the collection

Procedia Computer Science

ISBN

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ISSN

1877-0509

e-ISSN

1877-0509

Number of pages

8

Pages from-to

888-895

Publisher name

Elsevier B.V.

Place of publication

Amsterdam

Event location

Praha

Event date

Nov 20, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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