An intelligent method for sizing optimization in grid-connected photovoltaic system

Sulaiman, Shahril Irwan; Rahman, Titik Khawa Abdul; Musirin, Ismail; Shaari, Sulaiman; Sopian, Kamaruzzaman

doi:10.1016/j.solener.2012.04.009

Cited by 79 publications

(36 citation statements)

References 20 publications

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“…738 EP was used by many researchers to optimize the performance of a system [21][22][23]. EP has its advantage in a way that it can compute the optimal solution for a power system in a very short time, but possesses an ability to produce nearly optimal settlement solution [21].…”

Section: Immunized-evolutionary Algorithm Based Technique For Loss Comentioning

confidence: 99%

Immunized-Evolutionary Algorithm Based Technique for Loss Control in Transmission System with Multi-Load Increment

Shaaya

Musirin

Sulaiman

et al. 2017

IJEECS

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Loss issue is significant in power system since it affects the operation of power system, which ultimately can b e translated to monetary effect. Incremental IntroductionElectricity demand is reported to be increasingin many parts of the world. To ensure smooth and continuous supply, more energy need to be produced. Adding new conventional fuel power plant would be a direct method, but the high economic cost and the gas emission effect that comes together deter the installation without proper planning.Renewable energy (RE) offers a sustainable green energy alternative to the carbon-emission fossil fuel. Many countries have decided to utilise large-scale RE, such as solar power, wind power and hydro power. An extensive review and discussion on integrating large-scale photovoltaic (LSPV) power generation in China are reported in [1]. A high penetration PV power plant connected to the distribution network feeder wasstudied by [2]. Technical challenges and solutions to overcome power system stability challenges due to LSPV integration worldwide were presented by [3]. Although some researchers foresee that currently available RE resource is sufficeto serve current demand, extensive planning to optimise the size and location of RE with constraints is needed. Reference [4] presents how they determine the lowest-cost mix of RE resources, demand response and energy storage to replace conventional fuels in Ontario, Canada. Without optimisation, the location and size of RE may cause more loss and cost.Many optimisation techniques have been employed and improvised in finding the best solution. Particle swarm optimization (PSO) was used in [5][6][7][8][9][10][11] to determine the best solution of their objective function with constraints. Subsequently, ant -colony optimisation (ACO) and symbiotic organism search (SOS) are other optimisation technique used in [12][13][14][15][16][17][18][19][20]. These swarm intelligence (SI) are mostly developed to address stationary optimisation problems, thus not the best method for dynamic problems [15].

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Section: Immunized-evolutionary Algorithm Based Technique For Loss Comentioning

confidence: 99%

Immunized-Evolutionary Algorithm Based Technique for Loss Control in Transmission System with Multi-Load Increment

Shaaya

Musirin

Sulaiman

et al. 2017

IJEECS

Self Cite

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“…In the analysis, Kuala Lumpur's hourly climate data is used. The hourly energy generated by PV array, E pv is calculated using Equation (1) [3], [6]. PSH is peak sun hour over the period of interest (one hour), P mp_stc is PV's maximum power output in standard test condition, STC, N pv is number of PV module in the array, K temp is temperature de-rating factor K wire is cable efficiency, K inv is inverter efficiency, K mm is module mismatch, and K dirt is dirt derating factor.…”

Section: Pv Array Modelingmentioning

confidence: 99%

“…Grid tied decentralized PV generation system has numbers of advantages; modularity system, reduce dependency on conventional energy supply, environmental friendly [2] and the excess energy can be sold to utility [3], which entitled for bill reduction. Even though its potentials are proven, the coincidence of local load requirement with PV generation needs to be studied.…”

Section: Introductionmentioning

confidence: 99%

Optimal Sizing of Decentralized Photovoltaic Generation and Energy Storage Units for Malaysia Residential Household Using Iterative Method

Rahman

Nordin

2016

MATEC Web Conf.

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Abstract. World's fuel sources are decreasing, and global warming phenomena cause the necessity of urgent search for alternative energy sources. Photovoltaic generating system has a high potential, since it is clean, environmental friendly and secure energy sources. This paper presents an optimal sizing of decentralized photovoltaic system and electrical energy storage for a residential household using iterative method. The cost of energy, payback period, degree of autonomy and degree of own-consumption are defined as optimization parameters. A case study is conducted by employing Kuala Lumpur meteorological data, typical load profile from rural area in Malaysia, decentralized photovoltaic generation unit and electrical storage and it is analyzed in hourly basis. An iterative method is used with photovoltaic array variable from 0.1kW to 4.0kW and storage system variable from 50Ah to 400Ah was performed to determine the optimal design for the proposed system.

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“…In GCPV system, PV modules generate DC power, and inverter is used to convert DC to AC power output. GCPV system has numbers of advantages; modularity system, less maintenances, environmental friendly [3] and the excess energy can be sold to utility [4], which entitled for bill reduction.…”

Section: Introductionmentioning

confidence: 99%

Pre-installation Design Simulation Tool for Grid-connected Photovoltaic System Using Iterative Methods

Nordin

Rahman

2015

Energy Procedia

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The paper presents a simple technique in pre feasible design of grid-connected photovoltaic systems for the application in all energy sectors. A user-friendly simulation tool named Pre-Installation Design for GCPV (PIDGCPV) was developed to assist PV installer or any energy consumer in preliminary evaluation on PV system sizing to avoid over/under size of system. The developed simulation tool uses an iterative method embedded in Macro Excel integrated with Microsoft Visual Basic application. The simulation tool covers three constraints, which are space, energy requirement and budget. The iterative method is used for the selection of optimal number of photovoltaic (PV) module and inverter for a proposed system. In addition, a database for PV modules, inverters, and meteorological data for each state in Malaysia is also embedded in the software. The analysis shows straightforward comparison between the simulated result and the actual installed data based on the constraint selection. It indicates that the capability of the developed simulation tool is giving higher accuracy and can be used as pre installation design tool.

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An intelligent method for sizing optimization in grid-connected photovoltaic system

Cited by 79 publications

References 20 publications

Immunized-Evolutionary Algorithm Based Technique for Loss Control in Transmission System with Multi-Load Increment

Immunized-Evolutionary Algorithm Based Technique for Loss Control in Transmission System with Multi-Load Increment

Optimal Sizing of Decentralized Photovoltaic Generation and Energy Storage Units for Malaysia Residential Household Using Iterative Method

Pre-installation Design Simulation Tool for Grid-connected Photovoltaic System Using Iterative Methods

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