Optimal planning of renewable integrated rural microgrid for sustainable energy supply

Kama, Md Mustafa; Ashraf, Imtiaz; Fernandez, Eugene

doi:10.1002/est2.332

Cited by 21 publications

(6 citation statements)

References 53 publications

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“…In addition, the feasibility assessment for the microgrid is based on the availability of renewable resources in the region. 34 The energy management methodology or technique significantly impacts the hybrid energy system's optimal size and, consequently, the post-optimization performance measures. In this study, the energy management strategy (EMS) was applied.…”

Section: Methodsmentioning

confidence: 99%

Planning and optimization of standalone microgrid with renewable resources and energy storage

2022

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Renewable energy has shown to be a feasible and cost‐effective approach to electrifying rural villages while also meeting the region's long‐term development goals. Due to the intermittent and unpredictable nature of renewable energy supply and the need to satisfy variable demand across time, capacity planning for a sustainable energy system is problematic. Because the energy planning problem is non‐linear and non‐convex, an efficient technique must be used to build a cost‐effective energy system that supplies reliable electricity to the area. In the present work, a rural microgrid is suggested for the isolated community of the Indian hilly region. The integrated model combines existing energy resources in the area. The microgrid consists of the solar photovoltaic system, micro‐hydropower, wind energy biomass, and storage foreconomical and reliable electrification. The modeling of microgrids is based on the availability of renewable resources. Using the Differential Evolution optimization algorithm, the recommended hybrid energy model examined the per‐unit cost of energy and the overall operating cost. Based on the simulation for a year, it has been found that the optimal system has 35 kWof biomass, 30 kW of biogas, 40 kW of MHP, 144 kW of SPV, and 42 kW of the wind energy system to satisfy the energy demand of the area entirely. The per‐unit cost of energy is 0.12$/kWh, and the total operating cost is $ $2 120 700, respectively. Further, the sensitivity analysis is performed to know the impact of change in parameters on energy cost. The suggested microgrid provides a cost‐effective solution to the community.

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Section: Methodsmentioning

confidence: 99%

Planning and optimization of standalone microgrid with renewable resources and energy storage

2022

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“…Many researchers promote small-scale renewable integration because of fuel cost and postponement of infrastructure improvement [1,2]. A large number of photovoltaics (PVs) integration, without proper size and allocation throughout the distribution network (DN) bring-in technical issues [3,4], such as thermal loads, voltage violations, protection coordination, power quality and may cause a negative impact on total cost, power loss. The PV integration level, system parameters, and load profile are some important factors that impact the cost positively or negatively [5,6].…”

Section: Introductionmentioning

confidence: 99%

Voltage profile analysis at planning and operational stages with allowable PV hosting capacity

Yadav,

Kishor,

Negi

2023

IET Renewable Power Gen

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High level of photovoltaic (PV) integration into the distribution network (DN) may have a negative impact in terms of voltage variations across the limits. As such thorough analysis is required to ensure voltage within limits, mainly at feeder‐end buses. In this study, the PV integration problem is addressed in a more comprehensive way, considering the unbalance DN, impedance characteristic, and interaction of load against available PV output. The approach applies to both the planning and operational stage in the assessment of allowable PV hosting capacity (HC). In the planning stage, the local impedance index is computed at constant load and power factor conditions. The entire network is partitioned into areas and the most suitable area for PV integration is determined, which can allow maximum PV integration, without/minimum voltage violations. In the operation stage for allowable PV hosting capacity, further voltage analysis is performed, wherein peakness of PV output and load conditions do not match each other. Towards, voltage regulation via PV inverter, the power factor profile is adjusted as a function of PV output. The study is demonstrated for transient solar radiation, with emphasis on maintaining the voltage at feeder‐end buses. The simulation is carried out on interfacing GridPV in MATLAB and OpenDSS toolbox. The proposed scheme for allowable HC and further voltage regulation in the network using PV inverter is also compared with those approaches, applying optimised and centralised placement of PVs.

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“…Capital Recovery Factor of DGs and BESS has been neglected in the problem formulation of LOEP. In order to meet the demand for electrical energy, 28 suggests an integrated technoeconomic optimization and power management of a standalone integrated renewable energy system. Grey wolf optimization is used to reduce the levelized cost of energy (LCOE), the net present cost (NPC), and pollutant emission neglecting the reliability of the microgrid with respect to DGs penetration.…”

Section: Introductionmentioning

confidence: 99%

Optimal sizing of hybrid renewable energy systems for reliability enhancement and cost minimization using multiobjective technique in microgrids

Vaka

Kumari

2022

Energy Storage

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Microgrids can meet their electrical energy needs through the use of renewable energy systems and energy storage. Combining hybrid renewable energy system (HRES) with a battery energy storage system (BESS) is the best way to increase the systems reliability while still satisfying load demand. Suitable sizing of microgrid with optimal power allocations of HRES and BESS in terms of capacity and discharge leads to improved reliability. Cost and reliability are two important aspects of microgrid system functioning. While designing the system with HRES and BESS, there must be an appropriate balance between cost and reliability. This paper presents an algorithm for optimal design of HRES with BESS for optimizing levelized cost of electricity (LCOE) and power supply reliability factor (PSRF) Particle swarm optimization and epsilon constraint based multi‐objective PSO algorithms are used to solve the objectives considering 24 hours time horizon. A hybrid Wind‐PV system with Diesel Generator and BESS is considered for the study. In this work, 12 trails of simulation runs are made to obtain accurate values of average levelized cost of electricity and power supply reliability factor along with the optimal power allocations of DGs and BESS. According to the findings, sizing of HRES with BESS optimally lowers the LCOE by reducing the quantity of power drawn from the grid and improves PSRF. ε‐MPSO provides the optimal results in minimizing the LCOE by obtaining proper energy management between HRES and BESS with improved reliability.

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Optimal planning of renewable integrated rural microgrid for sustainable energy supply

Cited by 21 publications

References 53 publications

Planning and optimization of standalone microgrid with renewable resources and energy storage

Planning and optimization of standalone microgrid with renewable resources and energy storage

Voltage profile analysis at planning and operational stages with allowable PV hosting capacity

Optimal sizing of hybrid renewable energy systems for reliability enhancement and cost minimization using multiobjective technique in microgrids

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