The paper presents a solution for improving the performance of power generation in a distributed energy resources (DER) microgrid as component of a power Smart Grid (SG). The requirements for voltage regulation are ac...
详细信息
ISBN:
(纸本)9781538650653
The paper presents a solution for improving the performance of power generation in a distributed energy resources (DER) microgrid as component of a power Smart Grid (SG). The requirements for voltage regulation are accomplished by algorithms running on an IoT platform. The microgrid state information is obtained via an IoT communication infrastructure allowing acquisition from wireless sensor networks included in the Advanced Metering Infrastructure of SG. In order to avoid uncertainty in measurements, an optimization algorithm based on a Kalman filtering method is used. The experimental results confirm that the use of the IoT platform is beneficial for microgrid power quality control because helps in reducing the internet bandwidth and latency for immediate control action.
Microgrids with natural gas engine driven distributed energy resources (DERs) are more likely to be favored by both industries and utilities in the near future because of their low costs, which, in turn, is due to the...
详细信息
Microgrids with natural gas engine driven distributed energy resources (DERs) are more likely to be favored by both industries and utilities in the near future because of their low costs, which, in turn, is due to the newly found shale deposits at many places in the world. Such DERs can be connected either directly or through an inverter to the utility/load. Therefore, they are referred to as synchronous generator-based DERs and inverter-based DERs respectively. In this research work, the synchronous generator-based DER and inverter-based DER installed at the CERTS Microgrid test bed have been modeled. The dynamic and steadystate performance of the models were evaluated by verifying the model results against experimental tests conducted at the CERTS microgrid. A key contribution of this modeling effort is that the developed models of the DERs are simple and can fairly represent to a reasonable degree of accuracy the dynamic behavior without infringing on the confidential information of the commercial equipment manufacturers. Such models can easily be multiplied wherever necessary with appropriate scaling to facilitate analysis of numerous scenarios and case studies that may be otherwise impractical due to resource limitations at the field site to undertake actual testing — or at the very least expensive and time consuming.
暂无评论