Optimal Control of a Network of Power Microgrids Using the Pontryagin's Minimum Principle

被引:57
作者
Dagdougui, Hanane [1 ]
Ouammi, Ahmed [2 ]
Sacile, Roberto [1 ]
机构
[1] Univ Genoa, Dept Informat Bioengn Robot & Syst Engn, I-16145 Genoa, Italy
[2] Natl Ctr Sci & Tech Res, Rabat 2275, Morocco
关键词
Microgrids (MGs); Pontryagin's minimum principle (PMP); renewable energy sources (RESs); smart grids; storage system; ENERGY MANAGEMENT; OPTIMIZATION; ENHANCEMENT; SPLIT;
D O I
10.1109/TCST.2013.2293954
中图分类号
TP [自动化技术、计算机技术];
学科分类号
080201 [机械制造及其自动化];
摘要
The optimal control of the power flows in a network of microgrids (MGs) is presented. The problem is solved using the mathematical formalization of the optimal control based on the Pontryagin's minimum principle (PMP). The objective is to deliver an optimal control strategy for the minimization of the power flows among MGs, and to maintain the storage system operating around a given reference value. This study proposes an original formulation based on the PMP that may be viewed as a preliminary continuous time attempt to model and control the exchange of power in a network of MGs. Its main originality is the use and the exchange of information and forecast of energy production and consumption on the whole set of MGs, to improve the overall quality of the power management, and energy storage. A method based on the PMP is developed to solve the corresponding constrained optimal control problem in an almost exclusively analytical way and thus, to calculate the optimal control. To prove the viability of the proposed approach, an example has been solved for the case of four MGs collaborating in a network.
引用
收藏
页码:1942 / 1948
页数:7
相关论文
共 32 条
[1]
A comprehensive method for optimal power management and design of hybrid RES-based autonomous energy systems [J].
Abedi, S. ;
Alimardani, A. ;
Gharehpetian, G. B. ;
Riahy, G. H. ;
Hosseinian, S. H. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2012, 16 (03) :1577-1587
[2]
Acharjee P., 2010, 2010 IEEE International Conference on Power and Energy (PECon 2010), P953, DOI 10.1109/PECON.2010.5697716
[3]
Power quality enhancement in autonomous microgrid operation using Particle Swarm Optimization [J].
Al-Saedi, Waleed ;
Lachowicz, Stefan W. ;
Habibi, Daryoush ;
Bass, Octavian .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 42 (01) :139-149
[4]
[Anonymous], 2011, 2011 National Postgraduate Conference-Energy and Sustainability: Exploring the Innovative Minds, NPC 2011, DOI DOI 10.1109/ISGT-LA.2011.6083192
[5]
Short-term prediction of household electricity consumption: Assessing weather sensitivity in a Mediterranean area [J].
Beccali, M. ;
Cellura, M. ;
Lo Brano, V. ;
Marvuglia, A. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2008, 12 (08) :2040-2065
[6]
Dagdougui H, 2011, ANN IEEE SYST CONF, P86
[7]
A regional decision support system for onsite renewable hydrogen production from solar and wind energy sources [J].
Dagdougui, Hanane ;
Ouammi, Ahmed ;
Sacile, Roberto .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2011, 36 (22) :14324-14334
[8]
A Dynamic Decision Model for the Real-Time Control of Hybrid Renewable Energy Production Systems [J].
Dagdougui, Hanane ;
Minciardi, Riccardo ;
Ouammi, Ahmed ;
Robba, Michela ;
Sacile, Roberto .
IEEE SYSTEMS JOURNAL, 2010, 4 (03) :323-333
[9]
Eddy Foo Y. S., 2011, 8th International Conference on Power Electronics - ECCE Asia, P2374
[10]
Gattami A., 2010, IEEE T AUTOMAT CONTR, V55, P1510