EPE Association: EPE 2020 - DS1i-2: Micro-Grids-2

EPE 2020 - DS1i-2: Micro-Grids-2
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2020 ECCE Europe - Conference > EPE 2020 - Topic 06: Grids, Smart Grids, AC & DC > EPE 2020 - DS1i-2: Micro-Grids-2

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   A Novel Power Flow Control Strategy for Heterogeneous Battery Energy Storage Systems Based on Prognostic Algorithms for Batteries
By Markus MUEHLBAUER [View]
[Download]

Abstract: This work focuses on a novel power flow control strategy (PFCS) for a heterogeneous multiple batteryenergy storage system (BESS) based on prognostic algorithms for batteries and the selection of proper prediction horizons for such algorithms. Unlike existing PFCS, the proposed control strategy copes with the transition between power balancing and state of charge balancing regardless of the scenario, the system configuration or the objective of the operator due to the adaptability of the prediction horizons. MATLAB/Simulink is used to conduct a simulation study based on a heterogeneous multiple BESS. Therefore, the novel PFCS is implemented in a validated simulation model to prove its advantages in terms of the performance and efficiency target indicator in different scenarios and system configurations. The results show, the performance can be enhanced regardless of the scenario or system configuration and the efficiency is at least as high as for the reference PFCS.

   Adaptive voltage control of islanded RES-based residential microgrid with integrated flywheel/battery hybrid energy storage system
By Dana-Alexandra CIUPAGEANU [View]
[Download]

Abstract: This paper aims to design an adaptive fuzzy logic voltage controller for a residential MG includingPV-array and flywheel/battery hybrid energy storage implemented in a DC bus configuration. Specifically, the controller is developed for the MG islanded operation. The most relevant simulationscenario is considered the maximum load, defined based on load power profiles and correlated PVgeneration profiles.. Considering the DC bus voltage error and the battery state of charge as inputs,the fuzzy controller elaborates a power correction to be applied to the regular power assignmentsdetermined by the normal operation power management. Simulation results prove that the controllerachieves very good performances in supplying the critical load during islanding, while maintainingadequate levels of voltage and frequency towards the critical load.

   Electric Spring-based Smart Water Heater for Low Voltage Microgrids
By Alexander MICALLEF [View]
[Download]

Abstract: The voltage rise effect in lightly loaded low voltage microgrids with local photovoltaic (PV) generation is a renowned phenomenon. In this paper, the authors propose an electric spring-based smart water heater to avoid voltage rise on the network by storing excess PV generation as thermal energy. Simulations based on real PV and load consumption data were used to verify the effectiveness of the proposed solution.

   Shedding and restoration algorithms for an EV charging station to maximize available power
By Dian WANG [View]
[Download]

Abstract: Due to its green and environmentally friendly characteristics, the number of electric vehicles continues to increase, which leads to a greater demand for power, therefore, how to meet driver needs while maintaining electric vehicle charging station power balance is the major problem needed to be solved.This paper presents shedding and restoration optimization algorithms for an electric vehicle charging station based on a DC microgrid to maximize the utilization of available power to meet driver needs, meanwhile, taking into consideration the intermittency of the photovoltaic source, the capacity limitation of the storage, and the power limitation of the public grid. The simulation results show that compared with rule-based algorithm, the proposed EV shedding and restoration optimization algorithms respect the user's choice while reducing total charging time, increasing the full rate, and maximizing the available power utilization, which shows the feasibility and effectiveness of EV shedding and restoration optimization algorithms.

   Techno-economic analysis of second-life lithium-ion batteries integration in microgrids
By Camille BIROU [View]
[Download]

Abstract: Predicting ageing and performance of storage devices integrated in a global system is necessary to ensure the emergence of microgrids that promote grid services such as self-consumption. This paper deals with a techno-economic tool that allows to model a microgrid connected to the electrical grid and composed of photovoltaic solar panels, a second life lithium-ion battery and power consumers. This tool enables us to simulate the behaviour of the microgrid during a time scope of several years (life cycle based analysis). Economic indicators are also given in order to estimate the profitability of the overall system compared to the case where all the energy consumed would be purchased from the electricity grid. To achieve this, the tool has to be developed with a battery model that includes both a behavioural model (Tremblay-Dessaint) to simulate the evolution of voltage and state of charge, coupled with an ageing model to predict the capacity and power losses during cycling. The analysis highlights the strong sensitivity of storage performance and cost to economic parameters, the importance of degrading the model parameters with ageing and gives optimistic trends for the future of second-life batteries.

EPE 2020 - DS1i-2: Micro-Grids-2
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2020 ECCE Europe - Conference > EPE 2020 - Topic 06: Grids, Smart Grids, AC & DC > EPE 2020 - DS1i-2: Micro-Grids-2
	[return to parent folder]

	A Novel Power Flow Control Strategy for Heterogeneous Battery Energy Storage Systems Based on Prognostic Algorithms for Batteries By Markus MUEHLBAUER	[View] [Download]
Abstract: This work focuses on a novel power flow control strategy (PFCS) for a heterogeneous multiple batteryenergy storage system (BESS) based on prognostic algorithms for batteries and the selection of proper prediction horizons for such algorithms. Unlike existing PFCS, the proposed control strategy copes with the transition between power balancing and state of charge balancing regardless of the scenario, the system configuration or the objective of the operator due to the adaptability of the prediction horizons. MATLAB/Simulink is used to conduct a simulation study based on a heterogeneous multiple BESS. Therefore, the novel PFCS is implemented in a validated simulation model to prove its advantages in terms of the performance and efficiency target indicator in different scenarios and system configurations. The results show, the performance can be enhanced regardless of the scenario or system configuration and the efficiency is at least as high as for the reference PFCS.

	Adaptive voltage control of islanded RES-based residential microgrid with integrated flywheel/battery hybrid energy storage system By Dana-Alexandra CIUPAGEANU	[View] [Download]
Abstract: This paper aims to design an adaptive fuzzy logic voltage controller for a residential MG includingPV-array and flywheel/battery hybrid energy storage implemented in a DC bus configuration. Specifically, the controller is developed for the MG islanded operation. The most relevant simulationscenario is considered the maximum load, defined based on load power profiles and correlated PVgeneration profiles.. Considering the DC bus voltage error and the battery state of charge as inputs,the fuzzy controller elaborates a power correction to be applied to the regular power assignmentsdetermined by the normal operation power management. Simulation results prove that the controllerachieves very good performances in supplying the critical load during islanding, while maintainingadequate levels of voltage and frequency towards the critical load.

	Electric Spring-based Smart Water Heater for Low Voltage Microgrids By Alexander MICALLEF	[View] [Download]
Abstract: The voltage rise effect in lightly loaded low voltage microgrids with local photovoltaic (PV) generation is a renowned phenomenon. In this paper, the authors propose an electric spring-based smart water heater to avoid voltage rise on the network by storing excess PV generation as thermal energy. Simulations based on real PV and load consumption data were used to verify the effectiveness of the proposed solution.

	Shedding and restoration algorithms for an EV charging station to maximize available power By Dian WANG	[View] [Download]
Abstract: Due to its green and environmentally friendly characteristics, the number of electric vehicles continues to increase, which leads to a greater demand for power, therefore, how to meet driver needs while maintaining electric vehicle charging station power balance is the major problem needed to be solved.This paper presents shedding and restoration optimization algorithms for an electric vehicle charging station based on a DC microgrid to maximize the utilization of available power to meet driver needs, meanwhile, taking into consideration the intermittency of the photovoltaic source, the capacity limitation of the storage, and the power limitation of the public grid. The simulation results show that compared with rule-based algorithm, the proposed EV shedding and restoration optimization algorithms respect the user's choice while reducing total charging time, increasing the full rate, and maximizing the available power utilization, which shows the feasibility and effectiveness of EV shedding and restoration optimization algorithms.

	Techno-economic analysis of second-life lithium-ion batteries integration in microgrids By Camille BIROU	[View] [Download]
Abstract: Predicting ageing and performance of storage devices integrated in a global system is necessary to ensure the emergence of microgrids that promote grid services such as self-consumption. This paper deals with a techno-economic tool that allows to model a microgrid connected to the electrical grid and composed of photovoltaic solar panels, a second life lithium-ion battery and power consumers. This tool enables us to simulate the behaviour of the microgrid during a time scope of several years (life cycle based analysis). Economic indicators are also given in order to estimate the profitability of the overall system compared to the case where all the energy consumed would be purchased from the electricity grid. To achieve this, the tool has to be developed with a battery model that includes both a behavioural model (Tremblay-Dessaint) to simulate the evolution of voltage and state of charge, coupled with an ageing model to predict the capacity and power losses during cycling. The analysis highlights the strong sensitivity of storage performance and cost to economic parameters, the importance of degrading the model parameters with ageing and gives optimistic trends for the future of second-life batteries.