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

Abstract

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.

Distributed Hierarchical Control for Fast Frequency Restoration in VSG-Controlled Islanded Microgrids

“…According to the control timescale, the microgrid control has hierarchical characteristics [1], including real-time primary control, secondary frequency control (SFC) and voltage control (SVC) [3], and tertiary economic dispatch control [4]. In the primary control, the droop control was first used for conventional generators, e.g., synchronous and induction generators [5].…”

A Hierarchical Control Approach for Power Loss Minimization and Optimal Power Flow within a Meshed DC Microgrid

“…[5,6] focus on the the energy storage (ES) scheduling in combination with the use of renewable sources and their topology within the network. In other works, the researchers seek to reduce the existing power losses which exist in the transmission lines and cannot be avoided or ignored [7]. In the literature, researchers have proposed several methods for optimal power distribution including power loss minimization.…”

“…Regarding the optimal profiles, optimization control methods under constraints are employed using MPC to generate online optimal profiles for discrete time systems penalizing simultaneously the dissipation, the cost and the error that exist among the real and reference profiles. To the best of our knowledge only few works [4][5][6][7][8][9][10][11] deal specifically with the power dissipation issues. The strength of our work is related to the fact that it handles in a multi-objective optimization-based approach both optimal energy management and power losses minimization while satisfying constraints, rejecting disturbances and grasping the system's multi-timescale characteristics.…”