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Distributed optimal scheduling method for multi-energy complementary microgrid containing multiple bodies

An optimized scheduling and distributed technology, applied in the energy industry, instruments, sustainable manufacturing/processing, etc., can solve problems such as increasing communication costs, leakage of privacy and business information, and increasing system computing volume.

Active Publication Date: 2017-09-22
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

Generally, all power and load information in the microgrid in centralized optimization needs to be transmitted to the centralized controller, which will be dispatched and managed by the centralized controller, which will increase the amount of calculation in the system and increase the overall communication cost. and loads belong to different operating entities, sharing information will bring serious privacy and business information leakage

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  • Distributed optimal scheduling method for multi-energy complementary microgrid containing multiple bodies
  • Distributed optimal scheduling method for multi-energy complementary microgrid containing multiple bodies
  • Distributed optimal scheduling method for multi-energy complementary microgrid containing multiple bodies

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Embodiment Construction

[0058] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0059] Such as figure 1 As shown, first, determine the objective function, decision variables and related constraints of the original global problem, and model the cogeneration system, heat storage system, electric load, heat load, etc. in the microgrid, and establish the operator The cost model on the side and the user side. Secondly, according to the principle of ADMM algorithm, the final form of distributed iteration is deduced from the original global problem. Then, the wind power output in the current scheduling period is obtained, and the equivalent heat load is calculated from the temperature. Operators and users continue to optimize the interaction until a balance between supply and demand is reached. In the...

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Abstract

The invention discloses a distributed optimal scheduling method for a multi-energy complementary microgrid containing multiple bodies based on an ADMM in the field of power system microgrid technology. According to the method, operators and users form optimal interaction based on an ADMM framework till supply and demand balance is reached. In the optimal iteration process, the operators and the users can complete optimal scheduling just by exchanging expected power supply capacity and heat supply capacity and actual power supply capacity and heat supply capacity, and therefore the privacy of the operators and the users is greatly protected. Due to efficient energy cascade utilization of cogeneration combined with a heat storage system, demand responses at the user side and renewable energy power generation, the method has the advantages of saving energy, reducing emissions, relieving the pressure of power grids and the like; a comfortable indoor temperature is set, the comfort of the users is considered, and the economical efficiency and the subjective intentions of the users are comprehensively considered in terms of cost. The method is an optimal method with lower cost and higher feasibility for economic operation of the multi-energy complementary microgrid.

Description

technical field [0001] The invention belongs to the technical field of power system micro-grids, and in particular relates to a distributed optimal scheduling method for a multi-energy complementary micro-grid with multiple subjects. Background technique [0002] With the development of microgrid, the energy management of microgrid has been widely concerned. From the perspective of optimization methods, there are currently two main optimization methods: centralized optimization and distributed optimization. Generally, all power and load information in the microgrid in centralized optimization needs to be transmitted to the centralized controller, which will be dispatched and managed by the centralized controller, which will increase the amount of calculation in the system and increase the overall communication cost. And the load belongs to different operating entities, sharing information will bring serious privacy and business information leakage. Considering the large pr...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y02P80/14Y02P80/15
Inventor 刘念王杰
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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