TITLE

A novel methodology for scrutiny of autonomous hybrid renewable energy system

AUTHOR(S)
Sawle, Yashwant; Gupta, S. C.; Bohre, Aashish Kumar
PUB. DATE
February 2018
SOURCE
International Journal of Energy Research;Feb2018, Vol. 42 Issue 2, p570
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Summary: The optimal design of a hybrid system with different configurations including renewable generation is presented in this paper. A novel multi‐objective function consisting of 6 different objectives of hybrid system is reported using GA, PSO, and TLBO to decide the optimal configurations of parameters. The technical (loss of power supply probability, renewable factor), economical (cost of energy, penalty and fuel consumption), and social (job creation, human development index, and particular matter) features are investigated as objectives simultaneously for optimal design of hybrid system. The different objective indices namely cost of energy, loss of power supply probability, particular matter, human development index, job creation, and renewable factor indices are considered. The newly invented particular matter factor for design consideration of hybrid system directly shows the human health impacts, while pollutant emission is measured in the hybrid system design. The optimum values of objective indices are decided on the basis of the minimum value of multi‐objective function. The distinct cases from I to VI of hybrid system are examined for optimal configuration including different combinations of PV, wind, biomass, diesel generator, and battery bank. The resulting analysis of each case reveals that the performance of TLBO is better than PSO, and PSO is better than GA in all respect through new multi‐objective function and found case I is more efficient solution.
ACCESSION #
127424114

 

Related Articles

  • Cost-effective sizing of an AC mini-grid hybrid power system for a remote area in South Australia. Combe, Matthew; Haque, Mohammed H.; Mahmoudi, Amin; Khezri, Rahmat // IET Generation, Transmission & Distribution;2019, Vol. 13 Issue 2, p277 

    This study determines the optimal capacity of various components of an AC mini-grid hybrid power system in a remote area of South Australia. A range of generation and storage technologies, such as diesel generators, wind turbines, solar photovoltaic arrays, battery banks, and flywheels are...

  • Implementing Particle Swarm Optimization in Wind Farm to Place Wind Turbines. Rahmani, Rasoul; Yusof, Rubiyah; Seyedmahmoudian, Mohammadmehdi; Mekhilef, Saad // Australian Journal of Basic & Applied Sciences;Jul2013, Vol. 7 Issue 7, p77 

    In this paper, particle swarm optimization is utilized to optimize the placement of wind turbines in a wind farm. Since wind is one of the sustainable energy sources, it is important to build the wind parks as efficient as possible to extract the largest possible amount of electrical power....

  • Optimisation of hybrid renewable energy system using iterative filter selection approach. Hussain, Shahbaz; Al-ammari, Rashid; Iqbal, Atif; Jafar, Md.; Padmanaban, Sanjeevikumar // IET Renewable Power Generation;2017, Vol. 11 Issue 11, p1440 

    This study presents a hybrid renewable energy system that yields minimum total project cost and maximum reliability. The system is in modular configuration consisting of photovoltaic (PV) array, wind turbine, battery storage, AC load and a dump load. Also, the minimisation of unutilised surplus...

  • Optimal sizing of hybrid renewable energy system via artificial immune system under frequency stability constraints. Hafez, Ahmed A.; Hatata, A. Y.; Aldl, M. M. // Journal of Renewable & Sustainable Energy;Jan2019, Vol. 11 Issue 1, pN.PAG 

    An efficient sizing procedure for renewable energy resources (RESs) is a mandatory requirement for the implementation phase. The sizing procedure is mainly demand curve dependent, and the proper sizing certainly optimizes system components and hence reduces the cost. This article proposes an...

  • A dynamic MOPSO algorithm for multiobjective optimal design of hybrid renewable energy systems. Sharafi, Masoud; ElMekkawy, Tarek Y. // International Journal of Energy Research;Dec2014, Vol. 38 Issue 15, p1949 

    SUMMARY In this paper, a dynamic multiobjective particle swarm optimization (DMOPSO) method is presented for the optimal design of hybrid renewable energy systems (HRESs). The main goal of the design is to minimize simultaneously the total net present cost (NPC) of the system, unmet load, and...

  • Techno-Economic Analysis of a Microgrid Hybrid Renewable Energy System in Jordan. Asfar, Jamil Al; Atieh, Ahmad; Al-Mbaideen, Razan // Journal Européen des Systèmes Automatisés;Aug2019, Vol. 52 Issue 4, p415 

    Microgrid is a practical way to integrate conventional and renewable energy sources in small premises. This paper mainly performs a techno-economic analysis of microgrid deployment in Jordan, and analyzes the performance and economic impact of hybrid renewable energy systems for a selected...

  • Mitigating the volatility of renewable distributed generators with plug-in electric vehicles in optimal operation of active distribution networks. Hong Zhang; Dongmei Zhao; Chenghong Gu; Furong Li // Journal of Renewable & Sustainable Energy;2015, Vol. 7 Issue 2, p1 

    Active distribution networks (ADNs) are becoming popular worldwide, where renewable distributed generators (DGs) are responsible to support system operation and allowed to be integrated to networks under non-firm connection agreements. With the increasing penetration of renewable DGs, their...

  • Modified particle swarm optimisation technique for optimal design of small renewable energy system supplying a specific load at Mansoura University. Hassan, Ahmed; Saadawi, Magdi; Kandil, Mahmoud; Saeed, Mohammed // IET Renewable Power Generation;2015, Vol. 9 Issue 5, p474 

    Recently, a special attention has been attributed to the renewable energy in Egypt. Optimal sizing of small renewable energy system has a very important role in the use of renewable energy effectively and economically. Particle swarm optimisation (PSO) is a popular stochastic optimisation method...

  • Solution for sizing a PV/diesel HPGS for isolated sites. Askarzadeh, Alireza // IET Renewable Power Generation;2017, Vol. 11 Issue 1, p143 

    The main contribution of this study is to propose a novel optimisation technique for optimal sizing of hybrid power generation systems (HPGSs). In power system, size optimisation of an HPGS is a complex optimisation problem which needs a superior optimisation technique to be effectively solved....

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics