Predictive Control of Microgrids with Mixed Sources for Desalination in Remote Areas

Salazar, Johanna; Tadeo, Fernando; Prada, César de

doi:10.1016/j.ifacol.2016.10.697

Cited by 7 publications

(2 citation statements)

References 14 publications

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“…Weather forecasts were used to predict the maximum power available from the RESs. Similar studies were presented by Palacin [130] and Salazar et al [139] for a MPC that solves an optimization problem at each sample step, to adjust water production based on water demand and energy available from hybrid RESs.…”

Section: Advanced Control Techniques For Ro Plantsmentioning

confidence: 60%

Reverse osmosis (RO) membrane desalination driven by wind and solar photovoltaic (PV) energy: State of the art and challenges for large-scale implementation

Mito

Albuflasa

et al. 2019

Renewable and Sustainable Energy Reviews

150

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The use of Reverse Osmosis (RO) desalination has grown considerably in response to water scarcity. Despite steady improvements in efficiency, RO desalination remains an energyintensive process. Numerous studies focussed on using mature Renewable Energy Sources (RES), such as wind and solar photovoltaic (PV) energy, to drive RO plants on a small scale. However, RES have not been used to drive large plants, except with a grid connection, due to the intermittency and fluctuation of such sources. Direct coupling of the RO plant to a RES requires variable-speed operation and/or modular operation to match the load to the available power. This review presents the state-of-the-art in wind and solar-PV powered RO to identify technical challenges and potential solutions regarding large-scale implementation. Recent studies using wind and solar-PV to drive RO are analysed while considering the plant configuration, operational strategy, control system and methods used to improve the plant adaptability to the RES. Technical challenges may include shortened membrane life and 2 reduced performance of energy recovery devices. Potential strategies for incorporating modular and variable-speed operation in commercial RO plants are presented. Control strategies are reviewed, including Model Predictive Control, Neural Networks and classical Proportional-Integral-Differential feedback control. Recommendations are made on future research necessary for operation of commercial RO plant operation from renewable energy.

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Section: Advanced Control Techniques For Ro Plantsmentioning

confidence: 60%

Reverse osmosis (RO) membrane desalination driven by wind and solar photovoltaic (PV) energy: State of the art and challenges for large-scale implementation

Mito

Albuflasa

et al. 2019

Renewable and Sustainable Energy Reviews

150

View full text Add to dashboard Cite

show abstract

“…Guo et al proposed a wind‐diesel‐battery micro‐grid for a desalination plant in China, combined with wind‐forecasting to maximize wind utilization and minimize diesel consumption. Salazar et al proposed a stand‐alone PV‐wind‐diesel‐battery micro‐grid desalination configuration for a remote area, where the micro‐grid was set up specifically for the operation of the desalination plant.…”

Section: Introductionmentioning

confidence: 99%

Synergic integration of desalination and electric vehicle loads with hybrid micro‐grid sizing and control: An Island Case Study

Rajarathnam

Vassallo

2019

Energy Storage

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This study addresses the feasibility, sizing, and scheduling of an island microgrid involving photovoltaic, wind turbine, diesel generator, and battery energy storage systems. In addition, the end-use demand is expanded beyond residential electricity loads, as the full electrification on domestic water supply and transportation, in the forms of desalination and electric vehicles (EVs), are proposed in this study with integration to a renewable energy system focused micro-grid. A mixed integer linear programming model is constructed to explore the mutual interactions of desalination plant, vehicle-to-grid enabled EVs and residential load deferring on a micro-grid. A case study in Bruny Island, Australia was incorporated in the study, based on the existing infrastructure and future planning. Multiple scenarios were run utilizing real-world, fine resolution time-series data. Results were compared to investigate the impact of the polygeneration configuration and potential economic savings on household affordability. Our study displayed the advantage of electrifying and integrating household resources into the micro-grid, such as transportation and water filtration. The integration created a greater diversity in electricity end-uses, allowed for better scheduling and Renewable System management. In addition, the cost-benefit analysis of stationary battery storage units was modeled against the other forms of energy storage, such as electric vehicles and seawater desalination plant, with findings suggesting the potential economic advantage of storage other than grid connected batteries in a residential precinct.

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Robust model predictive control for optimal energy management of island microgrids with uncertainties

Zhang

Zhu

et al. 2018

Energy

110

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Predictive Control of Microgrids with Mixed Sources for Desalination in Remote Areas

Cited by 7 publications

References 14 publications

Reverse osmosis (RO) membrane desalination driven by wind and solar photovoltaic (PV) energy: State of the art and challenges for large-scale implementation

Reverse osmosis (RO) membrane desalination driven by wind and solar photovoltaic (PV) energy: State of the art and challenges for large-scale implementation

Synergic integration of desalination and electric vehicle loads with hybrid micro‐grid sizing and control: An Island Case Study

Robust model predictive control for optimal energy management of island microgrids with uncertainties

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