Cooperative home energy management using batteries for a photovoltaic system considering the diversity of households

Iwafune, Yumiko; Ikegami, Takashi; Fonseca, Joao Gari da Silva; Oozeki, Takashi; Ogimoto, Kazuhiko

doi:10.1016/j.enconman.2015.02.083

Cited by 69 publications

(41 citation statements)

References 27 publications

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“…Its installation cost is maximum, but in the long run, this seems to be a vital solution regarding most of the energy problems [33,38,39]. Shortening the logical scheduling window enforces less delay in appliances' ToU, while integration of an energy storage system helps in normalizing electricity consumption peaks.…”

Section: Scenario 6: Ems By Using Storage Device + Scenariomentioning

confidence: 99%

Orchestrating an Effective Formulation to Investigate the Impact of EMSs (Energy Management Systems) for Residential Units Prior to Installation

et al. 2017

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Demand Response (DR) programs under the umbrella of Demand Side Management (DSM) tend to involve end users in optimizing their Power Consumption (PC) patterns and offer financial incentives to shift the load at "low-priced" hours. However, users have their own preferences of anticipating the amount of consumed electricity. While installing an Energy Management System (EMS), the user must be assured that this investment gives optimum comfort of bill savings, as well as appliance utility considering Time of Use (ToU). Moreover, there is a difference between desired load distribution and optimally-scheduled load across a 24-h time frame for lowering electricity bills. This difference in load usage timings, if it is beyond the tolerance level of a user, increases frustration. The comfort level is a highly variable phenomenon. An EMS giving optimum comfort to one user may not be able to provide the same level of satisfaction to another who has different preferences regarding electricity bill savings or appliance utility. Under such a diversity of human behaviors, it is difficult to select an EMS for an individual user. In this work, a numeric performance metric,"User Comfort Level (UCL)" is formulated on the basis of user preferences on cost saving, tolerance in delay regarding use of an appliance and return of investment. The proposed framework (UCL) allows the user to select an EMS optimally that suits his.her preferences well by anticipating electricity bill reduction, tolerable delay in ToU of the appliance and return on investment. Furthermore, an extended literature analysis is conducted demonstrating generic strategies of EMSs. Five major building blocks are discussed and a comparative analysis is presented on the basis of the proposed performance metric.

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Section: Scenario 6: Ems By Using Storage Device + Scenariomentioning

confidence: 99%

Orchestrating an Effective Formulation to Investigate the Impact of EMSs (Energy Management Systems) for Residential Units Prior to Installation

et al. 2017

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“…This totally depend on the assumptions of the problem. Reference [9] has accomplished a comprehensive study on the solar energy forecast to increase the accuracy of supply and demand matching. In this paper sizing is not considered but the effects of surplus or deficiency of PVs generation on load matching is studied [9].…”

Section: Introductionmentioning

confidence: 99%

“…Reference [9] has accomplished a comprehensive study on the solar energy forecast to increase the accuracy of supply and demand matching. In this paper sizing is not considered but the effects of surplus or deficiency of PVs generation on load matching is studied [9]. This paper contributes to sizing the storage in a grid-connected PV/storage system for a single-family house in This work was supported by Aalto Energy Efficiency (AEF) Research Program through Energy-efficient Townhouse project.…”

Section: Introductionmentioning

confidence: 99%

Optimizing energy cost via battery sizing in residential PV/battery systems

Doroudchi¹,

Pal

Lehtonen³

et al. 2015

2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)

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Application of renewable sources of energy is vital for the mankind due to global warming. Residential buildings consume major portion of electricity. Therefore, a grid-connected photovoltaic system of domestic level with battery storage backup (PV/storage system) is addressed in this article. This system has a significant effect on decreasing energy costs and contributes to meet the requirements of a nearly net-zero energy building. In this article, Mixed Integer Linear Programming (MILP) is applied to optimize the energy cost of a single-family house with battery energy storage for four different scenarios of installing solar panels. Optimization is performed on monthly scale for a house in Helsinki, Finland. The numerical results indicate that it is reasonable to integrate a storage in grid-connected PV systems in residential applications and represent the impact of battery size on household's monthly energy cost.

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“…New challenges are emerging due to increasing photovoltaic (PV) generation, so that Energy Storage Systems (ESS) with distributed PV generators have been developed in different papers. However, a high diffusion of PV may cause critical issues (voltage rise) in a distribution system, thus different coordinated control systems are proposed [2,3].…”

Section: Introductionmentioning

confidence: 99%

Combined Operation of Electrical Loads, Air Conditioning and Photovoltaic-Battery Systems in Smart Houses

et al. 2017

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In this paper, a novel Energy Management System (EMS) is proposed for a hybrid energy system with photovoltaic (PV) and energy storage system for a smart house. The EMS is designed to control the shiftable loads, the air conditioning and the electric storage system. The aim is to reduce the electrical energy consumption cost without compromising the end-user comfort. Monte Carlo Simulation (MCS) is used to estimate the optimal size of the hybrid system considering energy saving and investment costs. Simulations results confirm the effectiveness of the proposed EMS in decreasing the electrical energy consumption and costs. The proposed method for the sizing of the hybrid system is also able to select the best size of the PV-battery system in smart houses. Some studies focus on the characteristics of the converters in the micro-grid systems with the aim of improving the conversion efficiency. In [7], a hybrid system consisting of a PV array and rechargeable battery integrated to the distribution grid is presented. The system performs load sharing with the distribution grid by controlling the voltage source inverter (VSI), the boost and the buck-boost converters. The cost-benefits problem of solar PV technology is analyzed in [8,9]. In [8], the authors propose a system with given PV modules and EES based on bank capacities to solve the daily energy flow control problem. Furthermore, in order to facilitate intensive penetration of PV production into the grid, a method is proposed in [9]. Peak shaving is realized with the minimal cost and power fluctuations on the grid are reduced by using a power supervisor based on a predictive power scheduling algorithm. A basic analysis study of stand-alone solar PV micro-grid power system is presented in [10]. The system is designed on the basis of residential load profile and solar exposure level in a particular area. In order to improve the integration of PV and energy storage systems, a power management strategy is designed to manage power flows between PV systems and an ultra-capacitor (UC) [11].A numerical model that computes an optimized capacity of energy consumption is proposed in [12]. This model is based on weekly forecast with the aim of providing a stable energy that is insulated from the instability of weather change. The system is able to increase the energy consumption in normal days while maintaining minimum stable energy in bad weather conditions.To increase the use of PV energy in the residential applications, some researchers suggest a control of power flow and a selection of MPPT parameters for grid-connected PV systems with battery storage [13]. Other works discuss these issues in terms of innovative converter features for PV-battery systems [14]; a reconfigurable solar converter (RSC) is presented to perform dc/ac and dc/dc operations, by using a single-stage three phase grid-tie solar PV converter.A control method for the power electronic converters is discussed in [15]: the potential of utilizing battery energy storage for participating in primary frequenc...

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Cooperative home energy management using batteries for a photovoltaic system considering the diversity of households

Cited by 69 publications

References 27 publications

Orchestrating an Effective Formulation to Investigate the Impact of EMSs (Energy Management Systems) for Residential Units Prior to Installation

Orchestrating an Effective Formulation to Investigate the Impact of EMSs (Energy Management Systems) for Residential Units Prior to Installation

Optimizing energy cost via battery sizing in residential PV/battery systems

Combined Operation of Electrical Loads, Air Conditioning and Photovoltaic-Battery Systems in Smart Houses

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