Multi-time scale microgrid energy optimizing management system structure and method

Abstract

The invention relates to a multi-time scale microgrid energy optimizing management system structure and method. The system adopts an MAS (Mobile Agent Server) system framework which comprises a plurality of distributive power agents (Agent), a plurality of distributive power Agents, a plurality of demand response agents (Agent), a plurality of user Agents and a main electric grid dispatching Agents, wherein the Agents are collaborated and coordinated with an MAS system served as a frame based on the real-time capacity of a dynamic contract net protocol and ultra-short-term microgrid energy optimization; in case an important even that the Agents are triggered via an electric grid, the Agents are internally collaborated and collaborated with different Agents based on a set contract net coordination strategy, so as to ensure a microgrid system can run in an optimal mode under the rules of safety and speed. By adopting the structure and method provided by the invention, the gaps of the distributive power generation caused by the intermittency and the discontinuity can be filled, the robustness of the system can be improved, the response time can be reduced, the environmental benefit can be ensured as well as the economy of the electric grid in a full running period.

Description

technical field [0001] The present invention relates to new energy application and micro-grid technology in power system, and specifically relates to a multi-time scale micro-grid energy optimization management system structure and method based on multi-objective and dynamic contract network protocol. Background technique [0002] Microgrid is a new type of energy network supply and management technology, which facilitates the access of distributed energy systems, and at the same time can realize demand-side management and maximize the use of existing energy. It has flexible operation mode and schedulable performance, and can realize autonomous functions such as self-control, protection and management. Since intermittent distributed power generation generally occupies a large proportion, the ability of the microgrid system to withstand disturbances is relatively weak. In order to avoid the huge threat caused by the random fluctuation of distributed generation to the power g...

AI Technical Summary

Problems solved by technology

[0003] 1) In the existing technology, the management of the microgrid only considers distributed power generation. Although energy optimization can be achieved, due to the intermittent and discontinuous nature of distributed power generation, the main power grid needs to prepare for it in order to maintain the safe and stable operation of the power grid. A large number of inefficient and high-cost frequency regulation and reserve capacity, but lost economic and environmental benefits;

[0004] 2) The existing technology only considers the energy optimization on a single time scale, and does not realize the optimization coordination on multiple time scales in the whole scheduling process

However, due to the strong randomness of the power generation state of distributed power generation, the energy management plan needs to be adjusted frequently, and the optimization of a single time scale in the past cannot guarantee the economy of energy management;

[0005] 3) Most of the existing technologies set up a central energy management system for global control, without considering the decomposition of tasks and the coordination between individuals, resulting in poor system robustness and long response time

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