Design optimization of off-grid Hybrid Renewable Energy Systems considering the effects of building energy performance and climate change: Case study of Algeria

Mokhtara, Charafeddine; Negrou, Belkhir; Settou, Noureddine; Settou, Belkhir; Samy, Mohamed

doi:10.1016/j.energy.2020.119605

Cited by 187 publications

(42 citation statements)

References 59 publications

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“…Calculate the global and personal best particles and then assigned 4. An improvement is done in its fitness value in the last iteration according to (12).…”

Section: Hybrid Firefly and Partical Swarm Optimization (Hfpso)mentioning

confidence: 99%

A hybrid algorithm for voltage stability enhancement of distribution systems

Al-Wazni¹,

Al-Kubragyi²

2022

IJECE

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This paper presents a hybrid algorithm by applying a hybrid firefly and particle swarm optimization algorithm (HFPSO) to determine the optimal sizing of distributed generation (DG) and distribution static compensator (D-STATCOM) device. A multi-objective function is employed to enhance the voltage stability, voltage profile, and minimize the total power loss of the radial distribution system (RDS). Firstly, the voltage stability index (VSI) is applied to locate the optimal location of DG and D-STATCOM respectively. Secondly, to overcome the sup-optimal operation of existing algorithms, the HFPSO algorithm is utilized to determine the optimal size of both DG and D-STATCOM. Verification of the proposed algorithm has achieved on the standard IEEE 33-bus and Iraqi 65-bus radial distribution systems through simulation using MATLAB. Comprehensive simulation results of four different cases show that the proposed HFPSO demonstrates significant improvements over other existing algorithms in supporting voltage stability and loss reduction in distribution networks. Furthermore, comparisons have achieved to demonstrate the superiority of HFPSO algorithms over other techniques due to its ability to determine the global optimum solution by easy way and speed converge feature.

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“…Calculate the global and personal best particles and then assigned 4. An improvement is done in its fitness value in the last iteration according to (12).…”

Section: Hybrid Firefly and Partical Swarm Optimization (Hfpso)mentioning

confidence: 99%

A hybrid algorithm for voltage stability enhancement of distribution systems

Al-Wazni¹,

Al-Kubragyi²

2022

IJECE

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“…PSO and ε-constraint method ArcGIS, EnergyPlus, MATLAB, Design Builder Cost of energy, reliability and renewable fraction Charafeddine et al 2020 [14] On-grid PV/battery Urban residential building, China Experimental approach TRYNSYS, jEPlus þ EA Maximizing selfconsumption and time-of-use strategies Liu et al 2020 [15] Microgrid PV-windbattery-FC-diesel…”

Section: Residential Buildings In Rural Areasmentioning

confidence: 99%

“…The outcomes show that PV/wind/ diesel/battery is the best configuration in low efficient buildings for Adrar and Tindouf while in high-performance buildings the best configuration is PV/battery in Biskra and Tamenrast. [15] An exploration of the techno-economic feasibility of renewable energy systems for power supply to high-rise residential buildings in urban areas was conducted in Hong Kong. This was done through the combined modeling and optimizations with Transient System Simulation (TRNSYS) and jEPlus þ EA considering four renewable application scenarios.…”

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confidence: 99%

A Feasibility Study of an on‐Grid PV/Wind/Battery/Diesel for Residential Buildings Under Various Climates in Cameroon

et al. 2021

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Addressing the rapid growth in global energy demand and electricity access deficits requires that energy be produced and used in a sustainable way so as to achieve sustainable energy for all. In 2016, studies showed that about 17% of the world population (1.2 billion people) mostly in Asia-Pacific and sub-Saharan Africa still do not have access to electricity; even with an increase in power generation using renewable energy sources. [1,2] This is mainly due to the fact that most of this people live in remote areas where it is very difficult to access the regional grid.In Cameroon, the global access to electricity was 62% with a 94% in urban areas and 35% in rural areas. [3] This is mainly due to the fact that most electricity produced is used to satisfy electricity demand of urban areas. Even with this high access rate to electricity in urban areas, many households in these areas do not have access to electricity. Table 1 shows the number of households without electricity and their respective percentages in the ten regions of the country. Figure 1 shows the sectorial electricity consumption in 2014 in Cameroon; it is clearly seen that the residential sector occupies a nonnegligible percentage (20.7%) in electricity.Cameroon has two main climatic types, the equatorial and the tropical, which are divided into the following subtypes [4] (Figure 2): 1) Equatorial Guinea: it covers about one-third of Cameroon and is found in the southern part of the country. It limits to the southern part of the Adamawa region. It is characterized by rainfall all year round and the annual rainfall ranges from 1500 to 2000 mm. The average annual temperatures are about 25 C. 2) Equatorial monsoon (Equatorial Cameroon): it extends from the coast around Kribi and covers part of the western high plateau. The annual rainfall ranges from 2000 to 10 000 mm. The average annual temperatures range from 21 to 25 C. 3) Tropical humid (Tropical Sudan): it covers the North and Adamawa regions. Rainfall is spread over about 4 or 5 months only, while the other months are dry. 4) Sudano-Sahelian (Tropical Sudano-Sahelian): it extends from Maroua to the Lake Chad basin. It is characterized by a short rainy season and a marked dry season. Here, the rainfall amounts range from 900 mm around Maroua to 500 mm around Kousseri, and 400 mm around the shores of Lake Chad. The mean annual temperatures are similar to those of the Sudan type (28 C).In Cameroon, residential buildings are classified into six different categories based on the minimal area and the components of the building called T1, T2, T3, T4, T5, and T6. [5] Of these six

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“…The hybrid off-grid power generation system based on renewable energy sources (RES), such as a wind turbine (WT), photovoltaics (PVs array) a non-renewable diesel generator (DG), and an energy storage system (ESS), has demonstrated its capability to provide uninterrupted and clean energy to the connected electrical local loads at low cost [1][2][3]. Many off-grid configurations based on the hybridization of different RESs, and their control strategies, are detailed in [4,5].…”

Section: Introductionmentioning

confidence: 99%

Hardware Implementation of Composite Control Strategy for Wind-PV-Battery Hybrid Off-Grid Power Generation System

et al. 2021

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In this paper, a composite control strategy for improved off-grid configuration based on photovoltaic (PV array), a wind turbine (WT), and a diesel engine (DE) generator to achieve high performance while supplying nonlinear loads is investigated. To operate the WT efficiently under variable speed conditions and to obtain accurate and fast convergence to the maximum global operating point without a speed sensor, an iterative interpolation method is integrated with the perturbation and observation (P&O) technique. To ensure the balance of power in the system and to achieve the maximum power from the PV array without using any maximum power point tracking (MPPT) method, and ensuring stable operation during the disturbance, a double-loop control strategy for a two-switches buck-boost converter is developed. Furthermore, to protect the synchronous generator of the diesel generator (DG) from the 5th and 7th order-harmonics created by the connected nonlinear loads and to solve the issue of the filter resonance, the interfacing three-phase inverter is controlled using an improved synchronous-reference frame algorithm (SRF) with virtual impedance active damping. The presented work demonstrates effective and efficient control along with improved performance and cost-effective option as compared to the similar works reported in the literature. The performance of the presented off-grid configuration and its developed composite control strategy are tested using MATLAB/Simulink and validated through small-scale hardware prototyping.

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Design optimization of off-grid Hybrid Renewable Energy Systems considering the effects of building energy performance and climate change: Case study of Algeria

Cited by 187 publications

References 59 publications

A hybrid algorithm for voltage stability enhancement of distribution systems

A hybrid algorithm for voltage stability enhancement of distribution systems

A Feasibility Study of an on‐Grid PV/Wind/Battery/Diesel for Residential Buildings Under Various Climates in Cameroon

Hardware Implementation of Composite Control Strategy for Wind-PV-Battery Hybrid Off-Grid Power Generation System

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