Optimal Dynamic Dispatch for Combined Cooling Heating and Power
Semantic Scholar extracted view of "Optimal Dynamic Dispatch for Combined Cooling Heating and Power Microgrid Based on Model Predictive Control" by Wu Ming et al.
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Ming Wu''s research works | State Grid Electric Power Research Institute
Fault detection in microgrids is of great significance for power systems'' safety and stability. Due to the high penetration of distributed generations, fault characteristics become different
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Real-time Energy Management of Microgrid Using
Driven by the development and application of smart grid and renewable energy sources (RES) generation technologies, microgrid (MG) plays an important role in en
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Expert energy management of a micro-grid considering wind energy
To evaluate the proposed algorithm, the EEMS is applied to a typical micro-grid which consists of various DERs, smart ESS and electrical loads. The results show that the EEMS can effectively coordinate the power
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A 100% PV powered microgrid operates independently and stably
In Linyi, Shandong, China, researchers used 100% grid-forming (GFM) photovoltaics (PVs) to power the microgrid without the conventional synchronous machine. The microgrid operates
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Wu MING | Hunan University, Changsha | Academy of Management
In this paper, a multi-objective microgrid reconfiguration model is proposed with two aims of minimizing the operation cost and maximizing power supply reliability after analyzing the influencing...
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Ming Wu | IEEE Xplore Author Details
Biography Ming Wu received the Ph.D. degree from the University of Chinese Academy of Sciences, Beijing, China. He is currently with the China Electric Power Research Institute, Beijing. His research interests
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Improving economic operation of a microgrid through expert behaviors
To address the limitations of both paradigms, this study integrates a model-based optimization technique, MILP, to generate expert behaviors. These expert behaviors are used to initialize the policy
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The Energy Management System Based on Model Predictive Control for
TL;DR: A model predictive control approach is applied to the problem of efficiently optimizing microgrid operations while satisfying a time-varying request and operation constraints and the experimental results
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