A Distributed Agent Based Interconnected Microgrid and Dispatch Price Optimization Method
A technology for interconnecting microgrids and optimization methods, which is applied to AC networks, electrical components, circuit devices, etc. with energy trade/energy transmission authority, and can solve the problem of limited adjustment range, difficult tracking performance of rolling real-time correction, and interactive adjustment of interconnected microgrids. Lag and other problems to achieve the effect of improving tracking sensitivity and saving investment
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Embodiment 1
[0105] figure 1 Shown is a schematic diagram of an interconnected microgrid based on a distributed agent in a preferred embodiment of the present invention, including a microgrid, a microgrid agent, a grid 3, and a tie line 4; the microgrid agent is configured to obtain the local All the necessary information of the microgrid, control the load consumption and adjustable distributed generation in the local microgrid, and communicate with at least one interconnected microgrid agent; the microgrid includes a first microgrid 11, a second Microgrid 12, the third microgrid 13, the fourth microgrid 14 and the fifth microgrid 15; the microgrid agents include the first microgrid agent 21, the second microgrid agent 22, the third microgrid agent 23, the Four microgrid agents 24 and fifth microgrid agents 25 .
[0106] In this embodiment, each microgrid corresponds to a unique microgrid agent, and the first microgrid 11, the second microgrid 12, the third microgrid 13, the fourth microg...
Embodiment 2
[0110] figure 2 Shown is a flow chart of a distributed agent-based dispatching price optimization method for an interconnected microgrid according to another preferred embodiment of the present invention. In this embodiment, the interconnected microgrid includes a first microgrid 11, a second microgrid 12, a third microgrid 13, a fourth microgrid 14 and a fifth microgrid 15, all of which are not physically connected to the grid 3, and the energy flow and Fund flows can only interact in interconnected microgrids; interaction optimization only needs to consider all microgrids in the area, with the goal of minimizing system operating costs. The traditional centralized control strategy needs to transmit all the information of the local microgrid between the microgrid agents, including price, cost function, adjustment power response, etc., which cannot guarantee the user's commercial privacy. In order to solve the problem of user privacy interaction based on distributed agents, t...
Embodiment 3
[0162] Figure 5 It is a flow chart of another preferred embodiment of the present invention based on a distributed agent-based dispatching price optimization method for interconnected microgrids in a grid-connected mode. In this embodiment, the microgrid 11 is connected to the grid 3 through the tie line 4 .
[0163] When the interconnected microgrid system is connected to the grid, it can draw power from the grid, or sell excess power to the grid. Due to the lack of a centralized scheduling center, parallel computing is difficult to optimize under global constraints. Microgrid agents communicate with neighboring microgrid agents and cannot satisfy global constraints on all decision variables that contain incomplete information. In view of this, the original dual perturbation subgradient algorithm is applied to solve this problem. In the grid-connected mode, the distributed agent is based on a two-layer game, iteratively calculates, and finally obtains the optimal solution...
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