Power control and simulation of a building integrated stand-alone hybrid PV-wind-battery system in Kasuga City, Japan

Shaqour, Ayas; Farzaneh, Hooman; Yoshida, Yuichiro; Hinokuma, Tatsuya

doi:10.1016/j.egyr.2020.06.003

Cited by 54 publications

(13 citation statements)

References 51 publications

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“…The details of the models used for PV panels, batteries and inverters are tabulated in Tables A1-A3 of the Appendix A, respectively. The design variables were constrained as follows: 27] and Inverter Model ∈ [1,8].…”

Section: Application Results and Discussionmentioning

confidence: 99%

“…A robust power grid is a vital element that ensures the sustained supply of electrical power to all customers connected to the grid, with low cost, better quality, and minimal environmental harm [1]. Establishing such a grid is very challenging in a centralized system because of long-distance transmission lines, which increase the outage threat.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Objective Optimization of a Hybrid Nanogrid/Microgrid: Application to Desert Camps in Hafr Al-Batin

et al. 2021

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This paper presents an optimal design for a nanogrid/microgrid for desert camps in the city of Hafr Al-Batin in Saudi Arabia. The camps were designed to operate as separate nanogrids or to operate as an interconnected microgrid. The hybrid nanogrid/microgrid considered in this paper consists of a solar system, storage batteries, diesel generators, inverter, and load components. To offer the designer/operator various choices, the problem was formulated as a multi-objective optimization problem considering two objective functions, namely: the cost of electricity (COE) and the loss of power supply probability (LPSP). Furthermore, various component models were implemented, which offer a variety of equipment compilation possibilities. The formulated problem was then solved using the multi-objective evolutionary algorithm, based on both dominance and decomposition (MOEA/DD). Two cases were investigated corresponding to the two proposed modes of operation, i.e., nanogrid operation mode and microgrid operation mode. The microgrid was designed considering the interconnection of four nanogrids. The obtained Pareto front (PF) was reported for each case and the solutions forming this front were discussed. Based on this investigation, the designer/operator can select the most appropriate solution from the available set of solutions using his experience and other factors, e.g., budget, availability of equipment and customer-specific requirements. Furthermore, to assess the quality of the solutions found using the MOEA/DD, three different methods were used, and their results compared with the MOEA/DD. It was found that the MOEA/DD obtained better results (nondominated solutions), especially for the microgrid operation mode.

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Section: Application Results and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of a Hybrid Nanogrid/Microgrid: Application to Desert Camps in Hafr Al-Batin

et al. 2021

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“…The aerodynamic power coefficient of a wind turbine is a performance indicator, which is influenced by the blade pitch angle (β) and the tip-speed ratio (λ). A generic equation of C p based on the turbine characteristics is given by (2) [20][21][22][23][24][25][26][27][28][29]:…”

Section: Wind Turbine Characteristicsmentioning

confidence: 99%

“…Figure24. Power Flow in the system at a load power of 2k: (1) power output of the PV panel, (2) wind power, (3) power storage in the batteries unit.…”

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confidence: 99%

Modelling, Design and Control of a Standalone Hybrid PV-Wind Micro-Grid System

Al-Quraan

Al-Qaisi

2021

Energies

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The problem of electrical power delivery is a common problem, especially in remote areas where electrical networks are difficult to reach. One of the ways that is used to overcome this problem is the use of networks separated from the electrical system through which it is possible to supply electrical energy to remote areas. These networks are called standalone microgrid systems. In this paper, a standalone micro-grid system consisting of a Photovoltaic (PV) and Wind Energy Conversion System (WECS) based Permanent Magnet Synchronous Generator (PMSG) is being designed and controlled. Fuzzy logic-based Maximum Power Point Tracking (MPPT) is being applied to a boost converter to control and extract the maximum power available for the PV system. The control system is designed to deliver the required energy to a specific load, in all scenarios. The excess energy generated by the PV panel is used to charge the batteries when the energy generated by the PV panel exceeds the energy required by the load. When the electricity generated by the PV panels is insufficient to meet the load’s demands, the extra power is extracted from the charged batteries. In addition, the controller protects the battery banks in all conditions, including normal, overcharging, and overdischarging conditions. The controller should handle each case correctly. Under normal operation conditions (20% < State of Charge (SOC) < 80%), the controller functions as expected, regardless of the battery’s state of charge. When the SOC reaches 80%, a specific command is delivered, which shuts off the PV panel and the wind turbine. The PV panel and wind turbine cannot be connected until the SOC falls below a safe margin value of 75% in this controller. When the SOC goes below 20%, other commands are sent out to turn off the inverter and disconnect the loads. The electricity to the inverter is turned off until the batteries are charged again to a suitable value.

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“…While this sheds hope for the future of the Jordanian energy sector and increases energy resilience [9], an increase in renewable energy in both transmission and distribution levels introduces grid-level operational challenges that must be met to achieve optimized and efficient operation. Renewable energy sources such as solar and wind are non-dispatchable power units characterized by uncertainty, stochasticity, and being intermittent as they are dependent on variable weather conditions, which increase the flexibility needed to achieve supply-demand balance [10] and the need for energy storage systems [11,12]. On transmission levels, a fluctuation in renewable energy supply causes a sudden decrease or increase in power flow, while on distribution and consumer levels, a sudden change in weather conditions can lead to a reduction in renewable energy generation that causes a sudden load increase, affecting the grid voltage and frequency levels.…”

Section: Introduction 1backgroundmentioning

confidence: 99%

Day-Ahead Residential Electricity Demand Response Model Based on Deep Neural Networks for Peak Demand Reduction in the Jordanian Power Sector

2021

Self Cite

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In this paper, a comprehensive demand response model for the residential sector in the Jordanian electricity market is introduced, considering the interaction between the power generators (PGs), grid operators (GOs), and service providers (SPs). An accurate day-ahead hourly short-term load forecasting is conducted, using deep neural networks (DNNs) trained on four-year data collected from the National Electric Power Company (NEPCO) in Jordan. The customer behavior is modeled by developing a precise price elasticity matrix of demand (PEMD) based on recent research on the short-term price elasticity of Jordan’s residential and the analysis of the different types of electrical appliances and their daily operational hours according to the latest surveys. First, the DNNs are fine-tuned with a detailed feature analysis to predict the day-ahead hourly electrical demand and achieved a mean absolute percentage error (MAPE) of 1.365% and 1.411% on the validation and test datasets receptively. Then the predictions are used as input to a detailed model of the Jordanian power grid market, where a day-ahead peak-time demand response policy for the residential sector is applied to the three distribution power companies in Jordan. Based on different PEMD analyses for the Jordanian residential sector, the results suggest a reduction potential of 5.4% in peak demand accompanied by a cost reduction of USD 154,505 per day for the Jordanian power sector.

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Power control and simulation of a building integrated stand-alone hybrid PV-wind-battery system in Kasuga City, Japan

Cited by 54 publications

References 51 publications

Multi-Objective Optimization of a Hybrid Nanogrid/Microgrid: Application to Desert Camps in Hafr Al-Batin

Multi-Objective Optimization of a Hybrid Nanogrid/Microgrid: Application to Desert Camps in Hafr Al-Batin

Modelling, Design and Control of a Standalone Hybrid PV-Wind Micro-Grid System

Day-Ahead Residential Electricity Demand Response Model Based on Deep Neural Networks for Peak Demand Reduction in the Jordanian Power Sector

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