Performance Assessment of an Energy Management System for a Home Microgrid with PV Generation

Home energy management systems (HEMS) are a key technology for managing future electricity distribution systems as they can shift household electricity usage away from peak consumption times and can reduce the amount of local generation penetrating into the wider distribution system. In doing this they can also provide significant cost savings to domestic electricity users. This paper studies a HEMS which minimizes the daily energy costs, reduces energy lost to the utility, and improves photovoltaic (PV) self-consumption by controlling a home battery storage system (HBSS). The study assesses factors such as the overnight charging level, forecasting uncertainty, control sample time and tariff policy. Two management strategies have been used to control the HBSS; (1) a HEMS based on a real-time controller (RTC) and (2) a HEMS based on a model predictive controller (MPC). Several methods have been developed for home demand energy forecasting and PV generation forecasting and their impact on the HEMS is assessed. The influence of changing the battery’s capacity and the PV system size on the energy costs and the lost energy are also evaluated. A significant reduction in energy costs and energy lost to the utility can be achieved by combining a suitable overnight charging level, an appropriate sample time, and an accurate forecasting tool. The HEMS has been implemented on an experimental house emulation system to demonstrate it can operate in real-time

Power conditioning equipment for the thermoelectric outer planet spacecraft Quarterly technical report, 17 Apr. - 30 Jun. 1969

Design and development of power conditioning electronics for unmanned spacecraf

Performance Comparison Of Self-Consumption For A Photovoltaic System With Battery Storage And Load Management

As the energy consumption in the U.S. continuous to rise, there is a need to install more power plants to supply the energy demand. However, installing more fossil fuel power plants is very harmful to the environment. The rapid growth in photovoltaic (PV) system does contribute in reducing the amount of new power plants, but since its performance relies on weather conditions, this system may not be very reliable on its own. The non-dispatchable nature of PV limits the amount of PV on the current grid. In order to improve this system’s reliability, it is possible to add energy storage and charge it during off peak demand or when there is excess in energy PV generation. Therefore, whenever there is a peak demand, PV power can be combined with battery power to supply the demand. In addition, load management is another technique that can potentially allow PV to satisfy more loads. In this study, performance of a residential PV system with and without storage was studied in order to compare the improvements in self-consumption, meaning a decrease in grid imports/exports. Two different load management schemes were compared

A mechanical, thermal and electrical packaging design for a prototype power management and control system for the 30 cm mercury ion thruster

A prototype electric power management and thruster control system for a 30 cm ion thruster is described. The system meets all of the requirements necessary to operate a thruster in a fully automatic mode. Power input to the system can vary over a full two to one dynamic range (200 to 400 V) for the solar array or other power source. The power management and control system is designed to protect the thruster, the flight system and itself from arcs and is fully compatible with standard spacecraft electronics. The system is easily integrated into flight systems which can operate over a thermal environment ranging from 0.3 to 5 AU. The complete power management and control system measures 45.7 cm (18 in.) x 15.2 cm (6 in.) x 114.8 cm (45.2 in.) and weighs 36.2 kg (79.7 lb). At full power the overall efficiency of the system is estimated to be 87.4 percent. Three systems are currently being built and a full schedule of environmental and electrical testing is planned

Modeling and Analysis of Power Processing Systems

The feasibility of formulating a methodology for the modeling and analysis of aerospace electrical power processing systems is investigated. It is shown that a digital computer may be used in an interactive mode for the design, modeling, analysis, and comparison of power processing systems

Novel utility-scale photovoltaic plant electroluminescence maintenance technique by means of bidirectional power inverter controller

Nowadays, photovoltaic (PV) silicon plants dominate the growth in renewable energies generation. Utility-scale photovoltaic plants (USPVPs) have increased exponentially in size and power in the last decade and, therefore, it is crucial to develop optimum maintenance techniques. One of the most promising maintenance techniques is the study of electroluminescence (EL) images as a complement of infrared thermography (IRT) analysis. However, its high cost has prevented its use regularly up to date. This paper proposes a maintenance methodology to perform on-site EL inspections as efficiently as possible. First, current USPVP characteristics and the requirements to apply EL on them are studied. Next, an increase over the automation level by means of adding automatic elements in the current PV plant design is studied. The new elements and their configuration are explained, and a control strategy for applying this technique on large photovoltaic plants is developed. With the aim of getting on-site EL images on a real plant, a PV inverter has been developed to validate the proposed methodology on a small-scale solar plant. Both the electrical parameters measured during the tests and the images taken have been analysed. Finally, the implementation cost of the solution has been calculated and optimised. The results conclude the technical viability to perform on-site EL inspections on PV plants without the need to measure and analyse the panel defects out of the PV installation

Novel utility-scale photovoltaic plant electroluminescence maintenance technique by means of bidirectional power inverter controller

Producción CientíficaNowadays, photovoltaic (PV) silicon plants dominate the growth in renewable energies generation. Utility-scale photovoltaic plants (USPVPs) have increased exponentially in size and power in the last decade and, therefore, it is crucial to develop optimum maintenance techniques. One of the most promising maintenance techniques is the study of electroluminescence (EL) images as a complement of infrared thermography (IRT) analysis. However, its high cost has prevented its use regularly up to date. This paper proposes a maintenance methodology to perform on-site EL inspections as efficiently as possible. First, current USPVP characteristics and the requirements to apply EL on them are studied. Next, an increase over the automation level by means of adding automatic elements in the current PV plant design is studied. The new elements and their configuration are explained, and a control strategy for applying this technique on large photovoltaic plants is developed. With the aim of getting on-site EL images on a real plant, a PV inverter has been developed to validate the proposed methodology on a small-scale solar plant. Both the electrical parameters measured during the tests and the images taken have been analysed. Finally, the implementation cost of the solution has been calculated and optimised. The results conclude the technical viability to perform on-site EL inspections on PV plants without the need to measure and analyse the panel defects out of the PV installation.Ministerio de Industria, Economía y Competitividad (grant number RTC-2017-6712-3)Junta de Castilla y León (grant VA283P18

Design of a photovoltaic system for a house in Pakistan and its open source ultra-low power data logger

This thesis presents an open-source, ultra-low powered data-logger for off-grid photovoltaic (PV) applications. An off-grid PV energy system is also designed for a rural house in Pakistan. The real-life power consumption data of this house is collected for the design and simulation purpose. The expected annual output energy of designed system is calculated by using Homer Pro software. Annual solar irradiance, average temperature and other environmental aspects are also considered for simulation of the designed system in Homer Pro. The data-logger is designed to log major parameters of designed PV energy system. Deep-sleep mode of ESP32-S2 microcontroller is used along with voltage, current, and light sensors for logging the data of PV system in an external micro SD card. Data-logger is programmed to operate in deep-sleep and web-portal monitoring modes and a manual or automatic switch is used to select these modes. Real-time PV data can be monitored in a local web-portal programmed in the microcontroller only by switching the toggle switch to on position. The same web-portal is also used to check and download the historical data of a PV system. The energy consumption of the designed system is 7.33mWh during deep-sleep mode and 425mWh during the web-portal monitoring mode. The total cost of the designed data-logger is approximately 30 CAD

Ranger vii- mission description and performance, part i

System performance evaluation of Ranger VII LUNAR probe and analysis of photographs from missio