Hybrid agent-based simulation for policy evaluation of solar power generation systems

Zhao, J. Leon; Mazhari, Esfandyar; Celik, Nurcin; Son, Young Jun

doi:10.1016/j.simpat.2011.07.005

Cited by 87 publications

(83 citation statements)

References 17 publications

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“…Finally, Zhao et al [31]'s model employed SD and Agent-based modelling (ABM) approach. The study was divided in two levels: lower and upper.…”

Section: Mixing-methods Modelsmentioning

confidence: 99%

“…These models investigated support policy for private investors [23,24]; policies for power market deregulation [25,26,27]; cross-border trading of electricity [28,29]; comparing policies to promote renewable power sources reducing dependency on fossil fuels [30,31,32,33], and environmental savings [34].…”

Section: Policy Assessment Modelsmentioning

confidence: 99%

“…Zhao et al [31] model focused on assessing two incentive policies for promoting solar photovoltaic (PV) in residential sector. These policies included investment tax credit (ITC) and feed-in tariff (FiT).…”

Section: Policy Assessment Modelsmentioning

confidence: 99%

See 2 more Smart Citations

Application of system dynamics approach in electricity sector modelling: A review

Ahmad

Tahar

Muhammad‐Sukki

et al. 2016

Renewable and Sustainable Energy Reviews

114

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“…Finally, Zhao et al [31]'s model employed SD and Agent-based modelling (ABM) approach. The study was divided in two levels: lower and upper.…”

Section: Mixing-methods Modelsmentioning

confidence: 99%

Section: Policy Assessment Modelsmentioning

confidence: 99%

See 1 more Smart Citation

Application of system dynamics approach in electricity sector modelling: A review

Ahmad

Tahar

Muhammad‐Sukki

et al. 2016

Renewable and Sustainable Energy Reviews

114

View full text Add to dashboard Cite

“…NetLogo is a multi-agent programmable language that was authored by Uri Wilenskey and developed at Northwestern University [27]. It was chosen for this work because it is widely accepted by scholars as one of the best environments for socio-economic agent-based modelling [28].…”

Section: Agent-based Model (Abm)mentioning

confidence: 99%

Different Storage-Focused PV-Based Mini-Grid Architectures for Rural Developing Communities

Opiyo

2018

SGRE

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Impacts of grid architectures on temporal diffusion of PV-based communal grids (community owned minigrids or microgrids) in a rural developing community are modelled and simulated using MATLAB/Simulink and a survey-informed agent-based model (ABM) developed in NetLogo. Results show that decentralised control architectures stimulate minigrid formations and connections by allowing easy expansions of the minigrids as each decentralised PV system within a minigrid is treated equally and determines its own real and reactive power, eliminating the need for communication links. This also reduces the cost of implementing such a system; fewer connections are realized with centralised controls as such systems require high speed communication links which make them both difficult to expand and expensive to implement. Results also show that multi-master operation modes lead to more communal grid connections compared to single-master operation modes because in the former, all distributed PV systems within a communal grid have the same rank and can act as masters or can be operated as combinations of master generators (VSIs) and PQ inverters, allowing for more design flexibility and easy connections from potential customers.

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“…Using the AnyLogic™ software, the agent-based models were built for a number of components (mobile or fixed) in the model of a discrete event for a simplified pulled production line with a Kanban system. According to Zhao et al [15] a hybrid simulation is a typical combination of DES, Dynamic Simulation (DS) and ABM. They proposed a more detailed model of a hybrid simulation than the simple structures of policy evaluations.…”

Section: Related Researchesmentioning

confidence: 99%

Dynamic Allocation of Additional Human Resources Using Hybrid Simulation

Sena¹,

Silva²,

Costa³

et al. 2017

Int. j. simul. model.

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This work simulated several alternatives for the dynamic allocation of additional human resources in a company that produces a group of specific products. The goal was to increase the average amount of the margin of the total contribution through a hybrid application of a discrete event simulation (DES) and an agent-based modelling simulation (ABMS). Two different decision-making forms were proposed to determine which workstation should receive an additional operator. The first proposal was based on the occupancy level of the operators, while the second one was based on the intermediate queue size. The computational model was operationally validated by comparing the results with actual production data from the company. Twelve scenarios were analysed using a margin of the established contribution. Based on the occupancy rate, the ratio improved on average by 27.68 %, with an additional operator in the workstation. According to the second criterion, this improvement raised to 117.51 %.

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Hybrid agent-based simulation for policy evaluation of solar power generation systems

Cited by 87 publications

References 17 publications

Application of system dynamics approach in electricity sector modelling: A review

Application of system dynamics approach in electricity sector modelling: A review

Different Storage-Focused PV-Based Mini-Grid Architectures for Rural Developing Communities

Dynamic Allocation of Additional Human Resources Using Hybrid Simulation

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