Optimal sizing and techno-economic analysis of energy- and cost-efficient standalone multi-carrier microgrid

Lorestani, Alireza; Gharehpetian, Gevork B.; Nazari, Mohammad Hassan

doi:10.1016/j.energy.2019.04.152

Cited by 98 publications

(33 citation statements)

References 31 publications

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“…As an example of the first class of the works discussed, the application of newly-emerged metaheuristic algorithms has attracted much attention in the literature as compared to the improvement of the standard metaheuristic for RE-system design and capacity planning purposes. An evolutionary PSO (E-PSO) has been devised by Lorestani et al [19] , and considering WT/microturbine (MT)/battery (BT)/photovoltaic thermal (PVT)/boiler off-grid microgrid, the performance of the devised E-PSO has been proven to be nearing global optimal solutions over harmony search (HS), differential evolution (DE), genetic algorithm (GA), and a standard PSO algorithm. Zhang et al [20] have developed a novel algorithm by incorporating HS, simulated annealing (SA) and standard chaotic search (CS) algorithm, and name it hybrid HS-SA-CS.…”

Section: Introductionmentioning

confidence: 99%

“… Slow convergence process [20] BT-PV-H 2 Tank Minimize LCC & LPSP The capacity of FC, EL, H 2 tank, WT, and PV array Hybrid HS-SA-CS SA, HS Davarzan, Iran Proposed a hybrid algorithm to enhance the efficiency of solving continuous optimization problem. An excessive number of call function required [19] PVT-WT-BT-MT-TESS-boiler Minimize TAC & LPSP Size of BT bank, WT, PVT collector, boiler and TESS E-PSO DE, GA, PSO, HS Rafsanjan, Iran Devised an evolutionary PSO to reduce the inherent weakness of PSO due to premature convergences. High computational flexibility and poor local search ability.…”

Section: Introductionmentioning

confidence: 99%

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A rule-based energy management scheme for long-term optimal capacity planning of grid-independent microgrid optimized by multi-objective grasshopper optimization algorithm

Bukar

Tan

Yiew

et al. 2020

Energy Conversion and Management

141

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Highlights A nature-inspired driven approach is proposed to optimally design off-grid microgrid. Development of a rule-based energy management scheme based on queuing theory. The optimization problem minimizes energy cost and maximizes system reliability. The proposed grasshopper optimization algorithm is compared with PSO and CSA. The performance of the microgrid has been analysed against future uncertainties.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A rule-based energy management scheme for long-term optimal capacity planning of grid-independent microgrid optimized by multi-objective grasshopper optimization algorithm

Bukar

Tan

Yiew

et al. 2020

Energy Conversion and Management

141

View full text Add to dashboard Cite

show abstract

“…In the proposed CCHP system, DLB can generate energy to satisfy the load by recycling the flue gas of GT and burning natural gas [17]. As shown in Figure 2, based on the meteorological data, the device and fuel cost, the operating cost of each distribution generation (DG), the maintenance cost, and the power generation subsidy, the system can calculate the power generation cost in DG and the grid power [18,19]. From Figure 2, we can find that the power cost of the PV is minimal at any time.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimal Configuration of the CCHP System

2020

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The combined cooling, heating and power (CCHP) system not only has high energy efficiency but also has different load structures. Traditional separate production (SP) system and power supply system do not consider the land cost in terms of the environmental benefits, and in the aspect of the power supply reliability, the grid-connected inverter cost is also ignored. Considering the deficiency of the traditional energy supply system, this paper builds the CCHP system construction cost model. The particle swarm optimization (PSO) is adopted to find out the minimum value of the construction cost, and the optimal system construction scheme is constructed from three aspects which are system reliability, economic benefits and environmental benefits. In this paper, the typical daily data, as well as the meteorological data and the load data, in the last four years are taken as experimental dataset. The experimental results show that compared with the traditional SP system and power supply system, the CCHP system established in this paper not only achieves lower cumulative investment cost, but also has a good power supply reliability and environmental benefits.

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“…Extensive research on CHP units has been carried out in literature. Many studies have used CHP to decrease power system operation costs [18], while some studies have used it for purposes like pollution reduction [19], system's operational efficiency improvement [20], increasing productivity of solar cells [21], increasing decentralized energy supply [22], improving system reliability [23], power peak shaving [24] and etc.…”

Section: Introductionmentioning

confidence: 99%

An innovative energy management framework for cooperative operation management of electricity and natural gas demands

Gholizadeh

Gharehpetian

Abedi

et al. 2019

Energy Conversion and Management

Self Cite

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Introduction of the power to gas and combined heat and power technologies, has led to remarkable interdependency between electrical and gas systems. By taking advantage of this interdependency, cleaner and more efficient energy management systems could be implemented. This paper attempts to establish an innovative energy management framework which takes advantage of this interdependency and devices like power to gas and combined heat and power to simultaneously smoothen electricity and natural gas demand profiles for a year ahead. The method outperforms this task using the electricity profile valleys to reduce peak natural gas consumption and using natural gas profile valleys to shave electricity consumption peak. In this way, the stress on both networks for supplying demand in peak periods is released. The proposed method is able to achieve demand smoothness and cost reduction objectives considering penalty factors for demand variance. For this purpose, multiple integrated energy hubs are used to simulate the energy consumption of an area. The designed mixed integer linear model is handled by General Algebraic Modeling Software and CPLEX solver. The results demonstrate that by applying the proposed method, the system is able to save 16.92% in the energy cost and decrease electricity and natural gas demand standard deviations by 8.34% and 66.64%, respectively.

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Optimal sizing and techno-economic analysis of energy- and cost-efficient standalone multi-carrier microgrid

Cited by 98 publications

References 31 publications

A rule-based energy management scheme for long-term optimal capacity planning of grid-independent microgrid optimized by multi-objective grasshopper optimization algorithm

A rule-based energy management scheme for long-term optimal capacity planning of grid-independent microgrid optimized by multi-objective grasshopper optimization algorithm

Multi-Objective Optimal Configuration of the CCHP System

An innovative energy management framework for cooperative operation management of electricity and natural gas demands

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