Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the si Contact online >>
Thank you for visiting nature . You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.
Microgrid (MG) is a scaled-down version of the conventional grid. It is self-sufficient and can supply the local demands of a particular geographic area. The active components of the MG are renewable energy sources like wind turbines (WT), photovoltaic (PV), micro-hydro generators, biomasses, fuel cells, etc. The other associated components of MG are energy storage units, combined heat and power (CHP) units, thermal and electric loads, etc.1.
For ensuring supply reliability, fuel savings, lesser emissions, voltage security, full exploitation of renewable potential, and coordinated output of multiple DGs, there is a need for energy management and optimal dispatch of microgrids. Two different approaches that have widely been used in the literature for the optimal operation of MG are (a) deterministic approaches and (b) heuristic optimization approaches2,3,4,5,6,7,8.
Economic scheduling in both grid-connected and islanded modes uses the concept of load and power curtailment with the help of the GWO algorithm, considering the entire day of system data.
The remaining paper is organised as follows: In Sect. "Optimal operation of microgrid", the optimal operation of MG is discussed. Section "Results and discussion" describes the results and discussion of the proposed methodology, whereas Sect. "Conclusion" gives the conclusion part of the work.
The microgrid can be operated in two modes, grid-connected or stand-alone. The fundamental steps of the proposed optimal scheduling strategy of the microgrid in both modes are given:
The basic structure of a grid-connected microgrid is shown in Fig. 1, which considers controllable generations, PV generations, wind generations, and energy storage systems.
The kinetic energy of wind can be converted into electricity with the help of the wind turbine, however the speed of the wind is intermittent. Therefore, the wind velocity (u) is modeled by using the Weibull probability distribution function and is given as36,
About Podgorica microgrid control
As the photovoltaic (PV) industry continues to evolve, advancements in Podgorica microgrid control have become critical to optimizing the utilization of renewable energy sources. From innovative battery technologies to intelligent energy management systems, these solutions are transforming the way we store and distribute solar-generated electricity.
When you're looking for the latest and most efficient Podgorica microgrid control for your PV project, our website offers a comprehensive selection of cutting-edge products designed to meet your specific requirements. Whether you're a renewable energy developer, utility company, or commercial enterprise looking to reduce your carbon footprint, we have the solutions to help you harness the full potential of solar energy.
By interacting with our online customer service, you'll gain a deep understanding of the various Podgorica microgrid control featured in our extensive catalog, such as high-efficiency storage batteries and intelligent energy management systems, and how they work together to provide a stable and reliable power supply for your PV projects.
