Hybrid renewable microgrid optimization techniques: A review

Dawoud, Samir M.; Lin, Xin; Okba, Merfat I.

doi:10.1016/j.rser.2017.08.007

Cited by 210 publications

(74 citation statements)

References 91 publications

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“…Implementation of an optimal energy management strategy is essential to optimize the techno-economic performance of the holistic hybrid systems [16]. The development of artificial intelligence (AI) provides worthy optimization for modern SAM operations, without relying on extensive long-term weather data and forecasts [20]. Renewable energy storage systems (RESS) play a crucial role in maximizing the RER contribution to the SAM energy balance.…”

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confidence: 99%

Stand-Alone Microgrid with 100% Renewable Energy: A Case Study with Hybrid Solar PV-Battery-Hydrogen

2020

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A 100% renewable energy-based stand-alone microgrid system can be developed by robust energy storage systems to stabilize the variable and intermittent renewable energy resources. Hydrogen as an energy carrier and energy storage medium has gained enormous interest globally in recent years. Its use in stand-alone or off-grid microgrids for both the urban and rural communities has commenced recently in some locations. Therefore, this research evaluates the techno-economic feasibility of renewable energy-based systems using hydrogen as energy storage for a stand-alone/off-grid microgrid. Three case scenarios in a microgrid environment were identified and investigated in order to select an optimum solution for a remote community by considering the energy balance and techno-economic optimization. The "HOMER Pro" energy modelling and simulating software was used to compare the energy balance, economics and environmental impact amongst the proposed scenarios. The simulation results showed that the hydrogen-battery hybrid energy storage system is the most cost-effective scenario, though all developed scenarios are technically possible and economically comparable in the long run, while each has different merits and challenges. It has been shown that the proposed hybrid energy systems have significant potentialities in electrifying remote communities with low energy generation costs, as well as a contribution to the reduction of their carbon footprint and to ameliorating the energy crisis to achieve a sustainable future.A modern microgrid is an integrated energy system consisting of localised grouping of distributed electricity generation with storage and multiple electrical loads [11,12]. It can be controlled as one entity or grid, either standalone, completely separate from, or connected to, the existing utility grid [13]. The development of the microgrid has been largely dominated by energy demand-side management, RE penetration and its integration into the utility grid [14,15]. In cases where it is not possible to connect the microgrid to the utility grid for any reason such as the remote or isolated location, a stand-alone microgrid (SAM) is an answer to the power supply challenges [16]. The authors of this research envisioned that the SAM is a good starting point to transit from the classic trend of fossil-fuelled powered systems to 100% RE powered systems.The SAM is a low-voltage power system that supplies a specific localised area [17]. It comprises local power generation systems with load demands, that can operate in islanded mode or off-grid [18,19].In the transition to a 100% RE SAM system, hybrid distributed (decentralized) or centralized energy generation and storage systems are used to meet the energy need [18]. The SAM is presented as a viable and effective solution to the utilisation of renewable energy resources (RER), by minimizing the problems associated with variability and intermittency of the renewables [16]. The main challenge in a SAM system is the optimal sizing of the system components to make the...

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confidence: 99%

Stand-Alone Microgrid with 100% Renewable Energy: A Case Study with Hybrid Solar PV-Battery-Hydrogen

2020

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“…LOLE of the system is recalculated with PV plant using Equation (6), which is obviously coming less than the earlier LOLE value as the capacity has been increased with the addition of PV capacity. LOLE of the base case (specified conventional generators without PV generation) is calculated using Equation (5).…”

Section: Equivalent Load Carrying Capability (Elcc)mentioning

confidence: 95%

“…1 However, the same rating of wind and solar systems never supplies the rated capacity as these are intermittent and uncertain. 6 The PV generation availability depends on the weather and the availability of sunlight.…”

Section: Introductionmentioning

confidence: 99%

Capacity value estimation of random solar power through associative searching in a k‐d tree

Nayak

Mohanty

2019

Int Trans Electr Energ Syst

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Summary The estimation of capacity values of unconventional sources like solar and wind is quite difficult due to their intermittent nature. Mainly reliability‐based methods are generally followed to calculate the capacity values. Intermittent solar power cannot be clubbed directly in the process of reliability calculation. Solar power is generally taken as negative load in adequacy assessment and subtracted from the load on hourly basis. Random solar radiation creates redundant solar power generation. Bypassing multiple estimations of capacity values for the redundant solar power, an approach is made to construct a database considering the incremental added capacities with their resulting loss of load expectation. The database is portrayed in a multidimensional k‐d tree to locate queried expected loss of load of solar power effectively using nearest neighbor search algorithm. The algorithm is providing the best match record as well as the associated information like the capacity values stored along with that record. A case study of 75 MW of conventional with 15 MW solar powers is considered for the validation of the proposed methodology. Capacity values corresponding to each reliability‐based methods resulted from the database seem to be satisfactory in evaluating the capacity values of solar power. The applicability of the proposed method is extended through implementing on the IEEE RTS system.

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“…In [11,12] an optimization model of a hybrid energy system with RE and BESS, which aims at the optimal dispatch of regulated resources considering the non-negligible frequency offset and system economic benefits was addressed. In short, the output capacity of the BESS would change under different energy states, which is reflected by the ampere hours, and it is crucial to take the lifetime loss into calculation at the time of considering the operation cost of a BESS.The optimization objectives have a significant effect on the scheduling of the IES, so different aims would lead to the diverse dispatch of each component, so studies focusing on the optimization of the IES cover many aspects, but are mainly concentrated on the improvement of multi-target energy efficiency [13,14], economic dispatch [15] and robust optimization [9]. The applied optimization objectives of the IES operation are mostly about the economic benefit, environment benefit and system independence.…”

mentioning

confidence: 99%

“…The optimization objectives have a significant effect on the scheduling of the IES, so different aims would lead to the diverse dispatch of each component, so studies focusing on the optimization of the IES cover many aspects, but are mainly concentrated on the improvement of multi-target energy efficiency [13,14], economic dispatch [15] and robust optimization [9]. The applied optimization objectives of the IES operation are mostly about the economic benefit, environment benefit and system independence.…”

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confidence: 99%

Optimal Scheduling of Integrated Energy Systems with Combined Heat and Power Generation, Photovoltaic and Energy Storage Considering Battery Lifetime Loss

et al. 2018

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Integrated energy systems (IESs) are considered a trending solution for the energy crisis and environmental problems. However, the diversity of energy sources and the complexity of the IES have brought challenges to the economic operation of IESs. Aiming at achieving optimal scheduling of components, an IES operation optimization model including photovoltaic, combined heat and power generation system (CHP) and battery energy storage is developed in this paper. The goal of the optimization model is to minimize the operation cost under the system constraints. For the optimization process, an optimization principle is conducted, which achieves maximized utilization of photovoltaic by adjusting the controllable units such as energy storage and gas turbine, as well as taking into account the battery lifetime loss. In addition, an integrated energy system project is taken as a research case to validate the effectiveness of the model via the improved differential evolution algorithm (IDEA). The comparison between IDEA and a traditional differential evolution algorithm shows that IDEA could find the optimal solution faster, owing to the double variation differential strategy. The simulation results in three different battery states which show that the battery lifetime loss is an inevitable factor in the optimization model, and the optimized operation cost in 2016 drastically decreased compared with actual operation data.Energies 2018, 11, 1676 2 of 21 gas, and on the energy demand side, it supplies kinds of energy to users, such as heating and electricity. However, as a complex hybrid energy system, a couple of meaningful topic need to be considered integrally, firstly the inherent fluctuation of renewable energy (RE) sources has a severe influence on the overall operation of the IES, both technically and economically, as the inherent volatility and intermittency of RE leads to difficulties in the economic scheduling of IES while providing multiple load supply. The arguments are mainly about the fact that the renewable energy generation cannot be dispatched flexibly while maintaining a certain reliability. Thus it cannot be avoided that a large amount of spare capacity must be provided to ensure the system reliability, and booming techniques such as energy storage systems (ESSs) and gas turbines are widely utilized due to their characteristics of stable output as well as speedy response [6]. However, it is inevitable that the cost would increase with the addition of components in systems, which obviously impacts the overall economy of the IES. The integrated energy system generally consists of electric, thermal and other energy subsystems. Due to the distinct characteristics and utilization scale, the difficulty of research comparing different subsystems it greatly enhanced. Gas turbines (GTs) as a rising energy hub, can convert energy from different subsystems, and are considered to be a reliable integrated energy unit, since according to the different forms of energy demand, GTs could form a combined cooling, heating a...

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Hybrid renewable microgrid optimization techniques: A review

Cited by 210 publications

References 91 publications

Stand-Alone Microgrid with 100% Renewable Energy: A Case Study with Hybrid Solar PV-Battery-Hydrogen

Stand-Alone Microgrid with 100% Renewable Energy: A Case Study with Hybrid Solar PV-Battery-Hydrogen

Capacity value estimation of random solar power through associative searching in a k‐d tree

Optimal Scheduling of Integrated Energy Systems with Combined Heat and Power Generation, Photovoltaic and Energy Storage Considering Battery Lifetime Loss

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