Microgrid strategies and algorithms

被引:0
|
作者
Dept.of Computer Science and Information Technology, University POLITEHNICA of Bucharest, Romania [1 ]
机构
关键词
Multi agent systems - Intelligent agents - Smart power grids - Renewable energy resources - Electric energy storage - Distributed power generation - Real time systems - Electric power transmission networks - Power quality;
D O I
暂无
中图分类号
学科分类号
摘要
This paper describes a Microgrid controlled by multi- agent systems. A solution to supply high quality and non- polluting energy is the Microgrid concept. This network is based on renewable energy from units called distributed generation (DG). Microgrids integration in electricity networks is the next step towards the Smart Grid. A high -level design of microgrid is presented in this paper. By using multi -agent systems, problems are eliminated: flow control, integration of various sources of energy, self- healing, management of billing costs and real-time monitoring, energy storage, managing demand and load the article contains strategies and algorithms that will provide an intelligent behavior for agents and multi -agent system so that it can be solved or prevented any abnormal functioning of a Microgrid network. In order to test the effectiveness of the strategies, a framework was implemented with real-time simulation and subsequent analysis of the results.
引用
收藏
相关论文
共 50 条
  • [21] A Review of Microgrid Energy Management and Control Strategies
    Ahmad, Saad
    Shafiullah, Md
    Ahmed, Chokri Belhaj
    Alowaifeer, Maad
    IEEE ACCESS, 2023, 11 : 21729 - 21757
  • [22] Review of hierarchical control strategies for DC microgrid
    Abhishek, Anand
    Ranjan, Aashish
    Devassy, Sachin
    Kumar Verma, Brijendra
    Ram, Subhash Kumar
    Dhakar, Ajeet Kr
    IET RENEWABLE POWER GENERATION, 2020, 14 (10) : 1631 - 1640
  • [23] Control methods and strategies of microgrid smooth switchover
    Zheng, Jinghong
    Wang, Yanting
    Li, Xingwang
    Wang, Zhongjun
    Wang, Xiaoyu
    Zhu, Shouzhen
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2011, 35 (18): : 17 - 24
  • [24] Comparative analysis of different control strategies in Microgrid
    Nithara, P., V
    Anand, R.
    INTERNATIONAL JOURNAL OF GREEN ENERGY, 2021, 18 (12) : 1249 - 1264
  • [25] Intelligent strategies for microgrid protection: A comprehensive review
    Peter, Nirma
    Gupta, Pankaj
    Goel, Nidhi
    Applied Energy, 2025, 379
  • [26] Microgrid Model for Fast Development of Energy Management Algorithms
    Etz, Radu
    Patarau, Toma
    Daraban, Stefan
    Petreus, Dorin
    2012 35TH INTERNATIONAL SPRING SEMINAR ON ELECTRONICS TECHNOLOGY (ISSE 2012): POWER ELECTRONICS, 2012, : 297 - 302
  • [27] Control Strategies in AC Microgrid: A Brief Review
    Alfergani, Asma
    Alfaitori, Khalid Ateea
    Khalil, Ashraf
    Buaossa, Nagi
    2018 9TH INTERNATIONAL RENEWABLE ENERGY CONGRESS (IREC), 2018,
  • [28] Control Strategies in Droop Controller of MicroGrid: A Survey
    Soni, Urmila S.
    Talwekar, R. H.
    2018 INTERNATIONAL CONFERENCE ON SMART ELECTRIC DRIVES AND POWER SYSTEM (ICSEDPS), 2018, : 239 - 244
  • [29] Microgrid Maintenance Strategies for Optimal Reliability and Cost
    Skowronska, Annette G.
    Mourelatos, Zissimos P.
    2020 ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM (RAMS 2020), 2020,
  • [30] Energy Management in a Dynamic Microgrid Using Genetic Algorithms
    Calloquispe-Huallpa, Ricardo
    Darbali-Zamora, Rachid
    Aponte-Bezares, Erick E.
    Lave, Matthew S.
    2023 IEEE 50TH PHOTOVOLTAIC SPECIALISTS CONFERENCE, PVSC, 2023,