Hybrid Generation Systems Planning Expansion Forecast: A Critical State of the Art Review

被引：0

作者：

Mohammed, Omar Hazem ^{[1
]}

Amirat, Yassine ^{[2
]}

Benbouzid, Mohamed ^{[1
]}

Tang, Tianhao ^{[3
]}

机构：

[1] Univ Brest, EA LBMS 4325, Rue Kergoat,CS 93837, F-29238 Brest, France

[2] ISEN, EA 4325, LBMS, F-29200 Brest, France

[3] Shanghai Maritime Univ, Dept Elect Automat, Shanghai 201306, Peoples R China

来源：

39TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2013) | 2013年

关键词：

Hybrid energy systems; renewable power generation; generation systems planning expansion; generation unit sizing; energy cost; power generation economics; ISOLATED POWER-SYSTEMS; RENEWABLE ENERGY-SYSTEMS; RELIABILITY EVALUATION; WIND ENERGY; STORAGE; OPTIMIZATION; MANAGEMENT; ALGORITHM; DESIGN; MODEL;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In recent years the electric power generation has entered into a new development era, which can be described mainly by increasing concerns about climate change, through the energy transition from hydrocarbon to clean energy resources. In order to power system enhance reliability, efficiency and safety, renewable and nonrenewable resources are integrated together to configure so-called hybrid systems. Despite the experience accumulated in the power networks, designing hybrid system is a complex task. It has become more challenging as far as most renewable energy resources are random and weather/climatic conditions-dependant. In this challenging context, this paper proposes a critical state-of-the-art review of hybrid generation systems planning expansion and indexes multi-objective methods as strategies for hybrid energy systems optimal design to satisfy technical and economical constraints.

引用

页码：1668 / 1673

页数：6

共 31 条

[1] Eco-design optimisation of an autonomous hybrid wind-photovoltaic system with battery storage [J].

Abbes, D. ;

Martinez, A. ;

Champenois, G. .

IET RENEWABLE POWER GENERATION, 2012, 6 (05) :358-371

[2] Integrated renewable-conventional generation expansion planning using multiobjective framework [J].

Aghaei, J. ;

Akbari, M. A. ;

Roosta, A. ;

Gitizadeh, M. ;

Niknam, T. .

IET GENERATION TRANSMISSION & DISTRIBUTION, 2012, 6 (08) :773-784

[3] An AIS-ACO hybrid approach for multi-objective distribution system reconfiguration [J].

Ahuja, Ashish ;

Das, Sanjoy ;

Pahwa, Anil .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2007, 22 (03) :1101-1111

[4] Social, economical and environmental impacts of renewable energy systems [J].

Akella, A. K. ;

Saini, R. P. ;

Sharma, M. P. .

RENEWABLE ENERGY, 2009, 34 (02) :390-396

[5] Genetic-Algorithm-Based Optimization Approach for Energy Management [J].

Arabali, A. ;

Ghofrani, M. ;

Etezadi-Amoli, M. ;

Fadali, M. S. ;

Baghzouz, Y. .

IEEE TRANSACTIONS ON POWER DELIVERY, 2013, 28 (01) :162-170

[6] Capacity expansion of small isolated power systems using PV and wind energy [J].

Billinton, R ;

Karki, R .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2001, 16 (04) :892-897

[7]

Billinton R., 1994, RELIABILITY EVALUATI, DOI DOI 10.1007/978-1-4615-7731-7

[8] Multiobjective Intelligent Energy Management for a Microgrid [J].

Chaouachi, Aymen ;

Kamel, Rashad M. ;

Andoulsi, Ridha ;

Nagasaka, Ken .

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2013, 60 (04) :1688-1699

[9] Optimal Dispatching of Distributed Generators and Storage Systems for MV Islanded Microgrids [J].

Conti, S. ;

Nicolosi, R. ;

Rizzo, S. A. ;

Zeineldin, H. H. .

IEEE TRANSACTIONS ON POWER DELIVERY, 2012, 27 (03) :1243-1251

[10] Optimum design of hybrid renewable energy systems: Overview of different approaches [J].

Erdinc, O. ;

Uzunoglu, M. .

RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2012, 16 (03) :1412-1425

← 1 2 3 4 →