ABSTRACT
The world has now looked towards installing more renewable energy sources type distributed generation (DG), such as solar photovoltaic DG (SPVDG), because of its advantages to the environment and the quality of power supply it produces. However, these sources' optimal placement and size are determined before their accommodation in the power distribution system (PDS). This is to avoid an increase in power loss and deviations in the voltage profile. Furthermore, in this article, solar PV is integrated with battery energy storage systems (BESS) to compensate for the shortcomings of SPVDG as well as the reduction in peak demand. This paper presented a novel coronavirus herd immunity optimizer algorithm for the optimal accommodation of SPVDG with BESS in the PDS. The proposed algorithm is centered on the herd immunity approach to combat the COVID-19 virus. The problem formulation is focused on the optimal accommodation of SPVDG and BESS to reduce the power loss and enhance the voltage profile of the PDS. Moreover, voltage limits, maximum current limits, and BESS charge-discharge constraints are validated during the optimization. Moreover, the hourly variation of SPVDG generation and load profile with seasonal impact is examined in this study. IEEE 33 and 69 bus PDSs are tested for the development of the presented work. The suggested algorithm showed its effectiveness and accuracy compared to different optimization techniques. © 2023 TÜBÍTAK.
ABSTRACT
The City of Zagreb in Croatia and its surroundings have experienced two strong earthquakes within nine months of 2020. Putting this in the context of the increased workload of healthcare facilities due to Covid-19, the distribution system operator (DSO) is encouraged to look for unconventional solutions such as integrating the battery energy storage system (BESS) to supply healthcare facilities during network fault conditions or other extreme network events. The BESS size and location are determined by optimization model, while the control system of the BESS converter, based on the virtual synchronous machine (VSM) concept, is define to test BESS ability to supply critical consumers in the off-grid mode. The models are tested and verified on several real world situations in Zagreb MV distribution network. Future developments and scenarios are also simulated to verify the robustness of the proposed investment. © 2022 IEEE.
ABSTRACT
Online food delivery is the latest trend to hit the world. This trend has increased rapidly in recent years as a result of the COVID-19 pandemic, which struck at once changing the country’s economic landscape. Therefore, motorcycles and mobile phones with high data access and battery storage capacity are used mainly involving identifying the place of delivery. Due to the widespread and frequent use of cellular phones in tracking the position of food delivery then causing the cellular phone battery storage will be depleted and require recharging the phone which involves a long time. This in turn will cause delays in the food delivery procedure. The development of a Thermoelectric Generator system using the Internet of Things (IoT) for energy harvesting is very important. Given that the development method is based on the differential temperature on the exhaust chamber of the motorcycle and heatsink to solve the problem of charging a cellular phone on a motorcycle. The process of developing this system requires control over the voltage capacity as well as the ability to monitor it online through the Internet of Things system. The development of this system revealed that large temperature difference rates produce high electrical voltages to 10 V with power rates up to 206 mW. It also shows that the quantity of TEG will affect the rate of voltage increase and the value of power produced in direct proportion as the quantity of TEG increases. In conclusion, the benefits of temperature changes will generate reusable energy for daily use. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.