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Hour-Ahead Energy Trading Management with Demand Forecasting in Microgrid Considering Power Flow Constraints

School of Energy and Environment, City University of Hong Kong, Hong Kong 999077, China
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Energies 2019, 12(18), 3494; https://doi.org/10.3390/en12183494
Received: 20 July 2019 / Revised: 5 September 2019 / Accepted: 6 September 2019 / Published: 11 September 2019
Multiple small-scale low-voltage distribution networks with distributed generators can be connected in a radial pattern to form a multi-bus medium voltage microgrid. Additionally, each bus has an independent operator that can manage its power supply and demand. Since the microgrid operates in the market-oriented mode, the bus operators aim to maximize their own benefits and expect to protect their privacy. Accordingly, in this paper, a distributed hour-ahead energy trading management is proposed. First, the benefit optimization problem of the microgrid is solved, which is decomposed into the local benefit optimization sub problems of buses. Then, the local sub problems can be solved by the negotiation of operators with their neighbors. Additionally, the reference demand before negotiation is forecasted by the neural network rather than given in advance. Furthermore, the power flow constraints are considered to guarantee the operational stability. Meanwhile, the power loss minimization is considered in the objective function. Finally, the demonstration and simulation cases are given to validate the effectiveness of the proposed hour-ahead energy trading management. View Full-Text
Keywords: microgrid; smart grid; energy trading management; demand forecasting; distributed optimization; power flow constraints microgrid; smart grid; energy trading management; demand forecasting; distributed optimization; power flow constraints
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Feng, K.; Liu, C.; Song, Z. Hour-Ahead Energy Trading Management with Demand Forecasting in Microgrid Considering Power Flow Constraints. Energies 2019, 12, 3494.

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