Sizing and Analysis of Renewable Energy and Battery Systems in Residential Microgrids

Atia, Raji; Yamada, Noboru

doi:10.1109/tsg.2016.2519541

Cited by 323 publications

(178 citation statements)

References 26 publications

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“…The analysis and sizing of RE in coordination with BSS is discussed in [15], and a hybrid model is proposed using mixed ILP (MILP). One year of available weather data is used to predict the weather profile of the next three years and then is used to figure out the optimal size of the wind turbine (WT), photovoltaic (PV) and thermal load profile for the residential building.…”

Section: Related Workmentioning

confidence: 99%

Demand Side Management in Nearly Zero Energy Buildings Using Heuristic Optimizations

et al. 2017

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Today's buildings are responsible for about 40% of total energy consumption and 30-40% of carbon emissions, which are key concerns for the sustainable development of any society. The excessive usage of grid energy raises sustainability issues in the face of global changes, such as climate change, population, economic growths, etc. Traditionally, the power systems that deliver this commodity are fuel operated and lead towards high carbon emissions and global warming. To overcome these issues, the recent concept of the nearly zero energy building (nZEB) has attracted numerous researchers and industry for the construction and management of the new generation buildings. In this regard, this paper proposes various demand side management (DSM) programs using the genetic algorithm (GA), teaching learning-based optimization (TLBO), the enhanced differential evolution (EDE) algorithm and the proposed enhanced differential teaching learning algorithm (EDTLA) to manage energy and comfort, while taking the human preferences into consideration. Power consumption patterns of shiftable home appliances are modified in response to the real-time price signal in order to get monetary benefits. To further improve the cost and user discomfort objectives along with reduced carbon emission, renewable energy sources (RESs) are also integrated into the microgrid (MG). The proposed model is implemented in a smart residential complex of multiple homes under a real-time pricing environment. We figure out two feasible regions: one for electricity cost and the other for user discomfort. The proposed model aims to deal with the stochastic nature of RESs while introducing the battery storage system (BSS). The main objectives of this paper include: (1) integration of RESs; (2) minimization of the electricity bill (cost) and discomfort; and (3) minimizing the peak to average ratio (PAR) and carbon emission. Additionally, we also analyze the tradeoff between two conflicting objectives, like electricity cost and user discomfort. Simulation results validate both the implemented and proposed techniques.

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Section: Related Workmentioning

confidence: 99%

Demand Side Management in Nearly Zero Energy Buildings Using Heuristic Optimizations

et al. 2017

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“…An interesting approach regarding the sizing and operation of MGs is introduced in [11], where the load pattern of a smart home is induced by the implementation of a demand response scheme, which in turn affects the sizing of PVs and ESS. Similar is the concept in [12] where it is examined how the load flexibility affects the sizing of PVs, ESS and inverters of a residential MG.…”

Section: Related Workmentioning

confidence: 99%

“…In the aforementioned studies ( [9]- [12]) the optimal MG design and power management problem is formulated as a MILP problem. In contrast, the GSO optimization method is utilized in [13], while a swarm based artificial bee colony algorithm is applied in [14] for deriving the optimal equipment capacities of a DC/AC MG. A DC/AC MG is also considered in [15] where the system's design is determined through a multi-objective genetic algorithm.…”

Section: Related Workmentioning

confidence: 99%

Cooperation in microgrids through power exchange: An optimal sizing and operation approach

Zenginis

Vardakas

Echave³

et al. 2017

Applied Energy

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This paper proposes a novel model for the optimal design and power management of a microgrid. The key objective of the proposed model is to indicate the benefits of cooperation in terms of energy cost savings, carbon emission reduction and provision of energy self-sufficiency. The proposed cooperative configuration considers that buildings with different load patterns exchange power through a common DC bus , so that that an optimum utilization of the energy generated by local renewables is achieved. The problem of selecting the optimal capacities of photovoltaic arrays, energy storage systems and inverters, as well as of determining the optimal daily power operation plan is formulated as a mixed integer linear programming problem, where the objective function is optimized based on the Nash bargain method.. The impact of the daily scheduling of the energy storage systems and electric vehicles, as well as the impact of power exchanges on the equipment * Corresponding author Keywords: smart cities, microgrid, cooperative system, renewable energy sources, optimization.

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“…The operation status of all ES devices can be generally described via the following formula [38,39]:…”

Section: Energy State Model Of Es Devicementioning

confidence: 99%

Optimized Planning of Power Source Capacity in Microgrid, Considering Combinations of Energy Storage Devices

et al. 2016

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Since renewable energy resource is universally accepted as a promising method to solve the global energy problem, optimal planning and utilization of various distributed generators (DG) and energy storage (ES) devices deserve special concern. ES devices possess various characteristics in power density, energy density, response speed (switching speed) and lifetime. Besides, as different load types have various requirements on power supply reliability according to their importance, coordinated planning with consideration of reasonable matching between power source and load can efficiently improve power supply reliability and economic efficiency via a customized power supply and compensation strategy. This paper focuses on optimization of power source capacity in microgrid and a coordinated planning strategy is proposed with integrated consideration of characteristics of DG, ES and load. An index named additional compensation ratio (ACR) for balancing economic efficiency and reliability is proposed and considered in the strategy. The objective function which aims to minimize life cycle cost (LCC) is established considering economic efficiency, reliability and environmental conservation. The proposed planning strategy and optimizing model is calculated and verified through case study of an autonomy microgrid.

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Sizing and Analysis of Renewable Energy and Battery Systems in Residential Microgrids

Cited by 323 publications

References 26 publications

Demand Side Management in Nearly Zero Energy Buildings Using Heuristic Optimizations

Demand Side Management in Nearly Zero Energy Buildings Using Heuristic Optimizations

Cooperation in microgrids through power exchange: An optimal sizing and operation approach

Optimized Planning of Power Source Capacity in Microgrid, Considering Combinations of Energy Storage Devices

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