A bidirectional DC-DC converters for photovoltaic generation energy storage system

Author(s):  
Yili Wei ◽  
Chao Zhang ◽  
Gang Dou ◽  
Yiqi Song ◽  
Mengchang Lin
Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 579 ◽  
Author(s):  
Luis Galván ◽  
Juan Navarro ◽  
Eduardo Galván ◽  
Juan Carrasco ◽  
Andrés Alcántara

This paper presents a method to optimally use an energy storage system (such as a battery) on a microgrid with load and photovoltaic generation. The purpose of the method is to employ the photovoltaic generation and energy storage systems to reduce the main grid bill, which includes an energy cost and a power peak cost. The method predicts the loads and generation power of each day, and then searches for an optimal storage behavior plan for the energy storage system according to these predictions. However, this plan is not followed in an open-loop control structure as in previous publications, but provided to a real-time decision algorithm, which also considers real power measures. This algorithm considers a series of device priorities in addition to the storage plan, which makes it robust enough to comply with unpredicted situations. The whole proposed method is implemented on a real-hardware test bench, with its different steps being distributed between a personal computer and a programmable logic controller according to their time scale. When compared to a different state-of-the-art method, the proposed method is concluded to better adjust the energy storage system usage to the photovoltaic generation and general consumption.


2019 ◽  
Vol 9 (23) ◽  
pp. 5226 ◽  
Author(s):  
Iqbal ◽  
Sajjad ◽  
Amin ◽  
Haroon ◽  
Liaqat ◽  
...  

The transformation of a conventional power system to a smart grid has been underway over the last few decades. A smart grid provides opportunities to integrate smart homes with renewable energy resources (RERs). Moreover, it encourages the residential consumers to regulate their home energy consumption in an effective way that suits their lifestyle and it also helps to preserve the environment. Keeping in mind the techno-economic reasons for household energy management, active participation of consumers in grid operations is necessary for peak reduction, valley filling, strategic load conservation, and growth. In this context, this paper presents an efficient home energy management system (HEMS) for consumer appliance scheduling in the presence of an energy storage system and photovoltaic generation with the intention to reduce the energy consumption cost determined by the service provider. To study the benefits of a home-to-grid (H2G) energy exchange in HEMS, photovoltaic generation is stochastically modelled by considering an energy storage system. The prime consideration of this paper is to propose a hybrid optimization approach based on heuristic techniques, grey wolf optimization, and a genetic algorithm termed a hybrid grey wolf genetic algorithm to model HEMS for residential consumers with the objectives to reduce energy consumption cost and the peak-to-average ratio. The effectiveness of the proposed scheme is validated through simulations performed for a residential consumer with several domestic appliances and their scheduling preferences by considering real-time pricing and critical peak-pricing tariff signals. Results related to the reduction in the peak-to-average ratio and energy cost demonstrate that the proposed hybrid optimization technique performs well in comparison with different meta-heuristic techniques available in the literature. The findings of the proposed methodology can further be used to calculate the impact of different demand response signals on the operation and reliability of a power system.


2018 ◽  
Vol 31 (1) ◽  
pp. 155-175 ◽  
Author(s):  
Antonio Gagliano ◽  
Francesco Nocera ◽  
Giuseppe Tina

Currently, the need to address the issues arising from the uncontrolled growth of photovoltaic installations, such as intermittence and unpredictability of the generation that cause loss of balance in the grid, becomes unavoidable. Promising solutions for minimizing grid injection are the combination of photovoltaic generation with electricity energy storage and load management, the latter commonly known as Demand Side Management. These strategies together with incentives for self-consumption or energy independence from the network will allow facilitating the integration of the always-increasing generation of renewable energy. In Europe, the usage of residential energy grid-interactive energy storage systems for buffering of surplus photovoltaic generation is becoming a field of growing interest and market activity, as a consequence of the less attractive photovoltaic feed-in-tariffs in the near future and incentives to promote self-consumption. This study aims to evaluate the energy exchange with the grid and the rate of self-consumption of combined photovoltaic–electricity energy storage systems dedicated to residential and small commercial prosumers. More specifically, several combinations of sizes of photovoltaic plant, annual household consumptions and electricity energy storage capacity were evaluated. This analysis aims to identify which arrangement among photovoltaic power, electricity consumption and battery capacity allows reaching the highest ratio of self-sufficiency and consequently minimizing the energy exchanged with the grid. Moreover, the financial analysis of the photovoltaic–electricity energy storage system has been performed for verifying the economic viability of the photovoltaic–electricity energy storage systems under the Italian current market and economic circumstances.


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