Real-Time Demand Side Management for a Microgrid Considering Uncertainties
| Autor: | Youbing Zhang, Xiaodong Yang, Haibo He, Guoqing Weng, Ren Shuaijie |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Mathematical optimization
General Computer Science business.industry Computer science Stochastic process 020209 energy 020208 electrical & electronic engineering 02 engineering and technology Renewable energy Supply and demand Compensation (engineering) Power (physics) Model predictive control Power Balance 0202 electrical engineering electronic engineering information engineering Microgrid business |
| Zdroj: | IEEE Transactions on Smart Grid. 10:3401-3414 |
| ISSN: | 1949-3061 1949-3053 |
| DOI: | 10.1109/tsg.2018.2825388 |
| Popis: | Different from most existing studies that focus on offline demand side management (DSM) in microgrids (MGs) while neglecting forecasting errors of uncertain renewable generations, this paper studies online DSM. A two-stage real-time DSM method for an MG including different time scales, integrated with schedulable ability (SA) and uncertainties, is proposed. In the first stage, a novel internal pricing model is developed. On this basis, a model predictive control-based dynamic optimization is applied to minimize the operation cost and maintain the power balance considering the uncertainties imposed by both supply and demand sides in the MG system. In the second stage, we define the concept of SA for response executors (REs) and also establish an SA evaluation system taking the real-time and history information of the REs into account. In doing so, a faster-time scale online power allocation among REs is carried out in the framework of dynamic optimization to further compensate for the uncertainties in real-time, based on the evaluated SA values of the REs and the required compensation power. Numerical simulations on a residential MG show the reasonableness and effectiveness of the proposed method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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