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BCIT Citations Collection
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- Low voltage distribution substation integration in smart Microgrid
- Proceeding of IEEE 8th Conference on PowerElectronics, Jeju Island, South Korea, June 2011. A strategy is proposed to introduce a limited set of monitoring and control functions into a legacy low voltage distribution substation, and as such integrate it into a larger command and control architecture of a smart Microgrid. The focus of the work shall be on the retrofit strategy of some of the key components for measurement, monitoring, protection and control systems of the substation. Also Volt/VAR optimization of the feeder shall be considered as a part of the design. The article discusses the structure of the substation under study, followed by the actual design of IEC 61850 subsystems for the substation. A simulation model of the pilot project and its results is also included in the paper., Conference paper, Published.
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- Real-time adaptive VVO/CVR topology using multi-agent system and IEC 61850-based communication protocol
- This paper proposes a new approach for real-time and adaptive Volt/VAr optimization (VVO)/conservation voltage reduction (CVR) system using Intelligent Agents, communicating through IEC 61850 Goose Messaging Protocol. The paper also proposes new real-time adaptive VVO/CVR algorithms tailored for different service level targets and system topologies. The paper argues that each of these variations requires different Intelligent Agent Systems, data structures, and communication requirements. To test the applicability of the VVO/CVR optimization engine, a modified IEEE 34 Node system is used as case study., Article, Published
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- Real-time co-simulation platform for Smart Grid Volt-VAR Optimization using IEC 61850
- This paper presents an implementation of an IEC 61850-based real-time co-simulation platform for verification of the performance of a volt-VAR optimization (VVO) engine for smart distribution networks. The proposed VVO engine is able to minimize grid loss, volt-VAR control asset operational costs, and conservation voltage reduction operational costs through its comprehensive objective functions, weighted by fuzzification using advanced metering infrastructure (AMI) data. The optimization engine receives the AMI data stream through measurement aggregators. Moreover, it sends control commands to volt-VAR control components modeled in real-time digital simulator (RTDS) through DNP.3 protocol. To check the performance and the precision of proposed VVO, a fault scenario is imposed upon the system. IEC 61850 GOOSE messages are generated and sent to change the status of specified breakers, while the VVO engine receives system reconfiguration commands via IEC61850 Manufacturing Message Specification (MMS) protocol. The results of the study on 33-node feeder showed adequate performance of proposed VVO in grid operating scenarios., Article, Published.