Residential photovoltaic and battery energy system with grid support functionalities

Ranaweera, Iromi; Sánchez, Santiago; Midtgård, Ole-Morten

doi:10.1109/pedg.2015.7223014

Cited by 16 publications

(9 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The grid is stiff, meaning that it has the balancing function, supplying and receiving power as a result of the balance equation. PV is modelled as in [9] based on [10]. 3 Dynamic Programming Model…”

Section: Residence Modelmentioning

confidence: 99%

See 1 more Smart Citation

Value comparison of EV and house batteries at end-user level under different grid tariffs

Bjarghov

Korpås

Zaferanlouei

2018

2018 IEEE International Energy Conference (ENERGYCON)

View full text Add to dashboard Cite

With the introduction of real-time price signals through smart meters, the electric vehicle (EV) battery can become a powerful tool. Its relatively high charging power and capacity makes it attractive for both cost minimization and self-balancing. Focusing in particular on comparing EV and home batteries, the objective of this paper is to investigate the economic potential of utilizing PV and batteries at an end-user level. In simulations based on data from a single residence in Trondheim, Norway, a dynamic programming algorithm is used to minimize the electricity costs under four different grid tariff structures. This method guarantees to find the global optimum. Leveraging the variations in spot price and hourly grid tariff costs, the simulation results indicate reduced annual electricity cost. When utilizing an EV battery together with rooftop PV, the cost is reduced by 12.0-19.2 %, depending on the grid tariff structure, whereas a home battery installation together with PV reduces the cost by 8.9-14.4 %. y(t), z(t) Energy consumed above P sub kW during low load hours and peak load hours [kWh].

show abstract

Section: Residence Modelmentioning

confidence: 99%

“…LMT is a governmental funded project operated by NIBIO (Norsk Institutt for Bioøkonomi) for measuring and publishing weather data from all over Norway. By using a PV production model based on [10], PV production data is created with MATLAB. To calculate the exact values, the PV panel Sanyo HIT-240HDE4 is used.…”

Section: Pv Production Datamentioning

confidence: 99%

Value comparison of EV and house batteries at end-user level under different grid tariffs

Bjarghov

Korpås

Zaferanlouei

2018

2018 IEEE International Energy Conference (ENERGYCON)

View full text Add to dashboard Cite

show abstract

“…The EMS control logic selects the energy source and establishes the energy flow as shown in Figure 2. As regards the AC-DC coupling, different system configurations are possible, for example [5,7,[13][14][15]. Appl.…”

Section: Energy Storage Systemsmentioning

confidence: 99%

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

et al. 2017

View full text Add to dashboard Cite

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...

show abstract

“…On the other hand, the widespread use of largecapacity inductive devices such as motors and transformers will result in a reduction in the power factor. The existence of harmonic current will reduce power quality and increase line loss, with the constant superposition of harmonic current, the communication quality of sensitive device near to the harmonic source will be impacted, some sensitive equipment may cause malfunction due to harmonic current, even giving rise to security issue [1]. The reduction of power factor will lead to the decrease of electricity efficiency and voltage, and even lead to the collapse of the power grid.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Sliding Mode Control of Active Power Filter With Integral Switching Gain

Chen

Fei

2019

IEEE Access

View full text Add to dashboard Cite

Owing to the fact that the active power filter with conventional sliding mode controller has a chattering problem, an improved dynamic sliding mode controller is proposed in this paper to increase the performance of the APF. A dynamic sliding mode controller with integral switching gain is developed. The first-order dynamic sliding surface has the characteristic of transferring the discontinuity in traditional sliding mode control to the first derivative of the controller. Therefore, a continuously dynamic sliding controller can be obtained, so that it can effectively weaken the chattering. In the meantime, the appropriate selection of switching gain can also reduce chattering. The simulation results show that the proposed control strategy possesses good performance to suppress the harmonics. Moreover, the hardware in the loop experiment proves the practicability of the proposed algorithm.INDEX TERMS Dynamic sliding mode control, integral switching gain, hardware-in-the-loop, active power filter.

show abstract

Residential photovoltaic and battery energy system with grid support functionalities

Cited by 16 publications

References 11 publications

Value comparison of EV and house batteries at end-user level under different grid tariffs

Value comparison of EV and house batteries at end-user level under different grid tariffs

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

Dynamic Sliding Mode Control of Active Power Filter With Integral Switching Gain

Contact Info

Product

Resources

About