Selection of optimal location and design of a stand-alone photovoltaic scheme using a modified hybrid methodology

Yu, Xiaomo; Li, Wenjing; Maleki, Akbar; Rosen, Marc A.; Birjandi, Ali Komeili; Tang, Ling

doi:10.1016/j.seta.2021.101071

Cited by 10 publications

(10 citation statements)

References 72 publications

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“…Many researchers and studies have investigated hybrid renewable energy systems, and from different perspectives, such as energy management systems [13], demand response [14], economic cost [15], carbon dioxide emissions and environmental impact [16], optimizing source size [17,18], communication network [19,20], IoT-enabled smart grid [21][22][23], HRES optimization [24,25], modeling based on international standards [26][27][28][29], optimal location [30], and capacity planning [31]. The author in [13] provided an overview of energy management agent (EMA) framework architectures' ability to manage the energy generation/consumption of DERs/HRES in homes, buildings, and communities.…”

Section: Related Workmentioning

confidence: 99%

“…Four different configurations have been considered for the hybrid system based on solar, wind, diesel, biomass, hydro, and battery. Table 1 provides a summary of previous research works from different perspectives [1][2][3]11,12,14,15,17,18,[21][22][23][24][25][26][28][29][30][31]. Table 2 shows the monitoring scope of HRES.…”

Section: Related Workmentioning

confidence: 99%

“…The status information comprises engine status (ON/OFF) and measured values such as output power, fuel consumption, engine speed, etc. Table 5 shows the description of the logical nodes of the diesel system [30].…”

Section: Modeling Of Hybrid Renewable Energy Systemmentioning

confidence: 99%

“…In order to avoid undercharging and overcharging, the batteries are restricted with minimum and maximum storage capacities. Table 6 shows the description of the logical nodes of the battery system [30].…”

Section: Modeling Of Hybrid Renewable Energy Systemmentioning

confidence: 99%

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IoT-Based Hybrid Renewable Energy System for Smart Campus

et al. 2021

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There is a growing interest in increasing the penetration rate of renewable energy systems due to the drawbacks associated with the use of fossil fuels. However, the grid integration of renewable energy systems represents many challenging tasks for system operation, stability, reliability, and power quality. Small hybrid renewable energy systems (HRES) are small-scale power systems consisting of energy sources and storage units to manage and optimize energy production and consumption. Appropriate real-time monitoring of HRES plays an essential role in providing accurate information to enable the system operator to evaluate the overall performance and identify any abnormal conditions. This work proposes an internet of things (IoT) based architecture for HRES, consisting of a wind turbine, a photovoltaic system, a battery storage system, and a diesel generator. The proposed architecture is divided into four layers: namely power, data acquisition, communication network, and application layers. Due to various communication technologies and the missing of a standard communication model for HRES, this work, also, defines communication models for HRES based on the IEC 61850 standard. The monitoring parameters are classified into different categories, including electrical, status, and environmental information. The network modeling and simulation of a university campus is considered as a case study, and critical parameters, such as network topology, link capacity, and latency, are investigated and discussed.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Modeling Of Hybrid Renewable Energy Systemmentioning

confidence: 99%

Section: Modeling Of Hybrid Renewable Energy Systemmentioning

confidence: 99%

See 2 more Smart Citations

IoT-Based Hybrid Renewable Energy System for Smart Campus

et al. 2021

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“…Various theories and methods have been studied on power systems [19][20][21][22][23][24][25]; in this regard, several optimization methods have been presented on the investigation of optimal sizing of hybrid solar energy systems, including HOMER software [26][27][28][29][30], genetic algorithm [31], tabu search [32], simulated annealing [33], particle swarm optimization [34], grey wolf optimizer [35], harmony search [36][37][38], and global dynamic harmony search [39]. Yu et al [40] proposed an efficient framework based on harmony search to find the suitable capacity and location for off-grid PV/battery systems. It is found that the optimization algorithm based on harmony search offers better results than the simulated annealing algorithm.…”

Section: Introductionmentioning

confidence: 99%

Effects of Reliability Index on Optimal Configuration of Hybrid Solar/Battery Energy System by Optimization Approach: A Case Study

Liu

Maleki

et al. 2021

International Journal of Photoenergy

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Stand-alone hybrid energy systems based on solar and energy storage are an effective option for rural areas to meet the load demand. The objective of the current work is to the optimal configuration of a stand-alone hybrid photovoltaic/battery energy storage system with the help of an efficient metaheuristic algorithm, improved harmony search, to supply electrical of a residential load in Iran. The objective function is a minimization of total life cycle cost (TLCC) subject to the reliability index (loss of load probability). The optimal configurations of hybrid systems are compared in respect of different losses of load probability (0 to 20%). Sensitivity analysis and effects of economic parameters based on photovoltaic and battery prices are carried out to study the possibility of the suggested scheme. The results show that, by increasing the reliability index from 0 to 20%, the optimal number of panels and batteries decreases by 52 and 1202. Also, it is found that the TLCC of the system and cost of system components are increased by decreasing of the reliability index value.

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