<span style="font-family:Verdana;">The microgrid has become significant and commonly used;it has localized electricity sources and loads connected to a centralized electrical power network</span>...<span style="font-family:Verdana;">The microgrid has become significant and commonly used;it has localized electricity sources and loads connected to a centralized electrical power network</span><span style="font-family:Verdana;"> system when the need arises</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">and disconnects to island mode.</span><span style="font-family:;" "=""><span style="font-family:Verdana;"> A microgrid can effectively be integrated with various distribution generators, which can improve the voltage level on the transmission line by reducing the real power</span><span style="font-family:Verdana;"> losses. In this work, new technologies will permit power grids to </span><span style="font-family:Verdana;">be better prepared for future requirements. The numbers and diversity of such decentralized power plants require a new type of management in the operation</span><span style="font-family:Verdana;"> of power grids and intelligent networks or “smart grid.” A </span><span style="font-family:Verdana;">SCADA system will improve coordination between power demand and generation and use of modern information technology such as the internet, sensors, controllers, and wireless transmission equipment and use smart metering. The Accelerated Particle Swarm Optimization technique will be used to select the optimum location of a wind turbine to install in the power grid considering minimum power losses with optimal operation consideration of the number of iterations, the execution time of the program, and the memory capacity. The analysis and the study are carried out in MATLAB and the SCADA system.</span></span>展开更多
In recent times, renewable energy production from renewable energy sources is an alternative way to fulfill the increased energy demands. However, the increasing energy demand rate places more pressure, leading to the...In recent times, renewable energy production from renewable energy sources is an alternative way to fulfill the increased energy demands. However, the increasing energy demand rate places more pressure, leading to the termination of conventional energy resources. However, the cost of power generation from coal-fired plants is higher than the power generation’s price from renewable energy sources. This experiment is focused on cost optimization during power generation through pumped storage power plant and wind power plant. The entire modeling of cost optimization has been conducted in two parts. The mathematical modeling was done using MATLAB simulation while the hydro and wind power plant’s emulation was performed using SCADA (Supervisory control and data acquisition) designer implementation. The experiment was conducted using ranges of generated power from both power sources. The optimum combination of output power and cost from both generators is determined via MATLAB simulation within the assumed generated output power range. Secondly, the hydro-generator and wind generator’s emulation were executed individually through synchronizing the grid to determine each generator’s specification using SCADA designer, which provided the optimum power generation from both generators with the specific speed, aligning with results generated through MATLAB. Finally, the operational power cost (with no losses consideration) from MATLAB was compared with the local energy provider to determine the cost-efficiency. This experiment has provided the operational cost optimization of the hydro-wind combined power system with stable wind power generation using SCADA, which will ultimately assist in operations of large-scale power systems, remotely minimizing multi-area dynamic issues while maximizing the system efficiency.展开更多
文摘<span style="font-family:Verdana;">The microgrid has become significant and commonly used;it has localized electricity sources and loads connected to a centralized electrical power network</span><span style="font-family:Verdana;"> system when the need arises</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">and disconnects to island mode.</span><span style="font-family:;" "=""><span style="font-family:Verdana;"> A microgrid can effectively be integrated with various distribution generators, which can improve the voltage level on the transmission line by reducing the real power</span><span style="font-family:Verdana;"> losses. In this work, new technologies will permit power grids to </span><span style="font-family:Verdana;">be better prepared for future requirements. The numbers and diversity of such decentralized power plants require a new type of management in the operation</span><span style="font-family:Verdana;"> of power grids and intelligent networks or “smart grid.” A </span><span style="font-family:Verdana;">SCADA system will improve coordination between power demand and generation and use of modern information technology such as the internet, sensors, controllers, and wireless transmission equipment and use smart metering. The Accelerated Particle Swarm Optimization technique will be used to select the optimum location of a wind turbine to install in the power grid considering minimum power losses with optimal operation consideration of the number of iterations, the execution time of the program, and the memory capacity. The analysis and the study are carried out in MATLAB and the SCADA system.</span></span>
文摘In recent times, renewable energy production from renewable energy sources is an alternative way to fulfill the increased energy demands. However, the increasing energy demand rate places more pressure, leading to the termination of conventional energy resources. However, the cost of power generation from coal-fired plants is higher than the power generation’s price from renewable energy sources. This experiment is focused on cost optimization during power generation through pumped storage power plant and wind power plant. The entire modeling of cost optimization has been conducted in two parts. The mathematical modeling was done using MATLAB simulation while the hydro and wind power plant’s emulation was performed using SCADA (Supervisory control and data acquisition) designer implementation. The experiment was conducted using ranges of generated power from both power sources. The optimum combination of output power and cost from both generators is determined via MATLAB simulation within the assumed generated output power range. Secondly, the hydro-generator and wind generator’s emulation were executed individually through synchronizing the grid to determine each generator’s specification using SCADA designer, which provided the optimum power generation from both generators with the specific speed, aligning with results generated through MATLAB. Finally, the operational power cost (with no losses consideration) from MATLAB was compared with the local energy provider to determine the cost-efficiency. This experiment has provided the operational cost optimization of the hydro-wind combined power system with stable wind power generation using SCADA, which will ultimately assist in operations of large-scale power systems, remotely minimizing multi-area dynamic issues while maximizing the system efficiency.
