Economical optimized scheduling method for combined supply of cooling, heating and power type multi-microgrid active power distribution system

Abstract

The invention discloses an economical optimized scheduling method for combined supply of cooling, heating and power type multi-microgrid active power distribution system. The method comprises the steps that optimized modeling is firstly carried out on local scheduling layer wind power generation and energy storing device combined power generation; an optimized result is uploaded to a regional scheduling layer composes of a plurality of combined supply of cooling, heating and power type microgrids and active power distribution networks; and then, various equipment in the combined supply of cooling, heating and power type multi-microgrid are analyzed, and an economical optimized scheduling model is built; the economical optimized scheduling model for the active power distribution network isbuilt; finally, tie line electric power interactive values of the combined supply of cooling, heating and power type multi-microgrid and the active power distribution system are taken as coupling variables, and conditions of convergence are set when two interest body optimized scheduling is solved in parallel; Cplex is called in MATLAB to solve a problem, and a scheduling plan is acquired. The economical optimized scheduling method provides an effective, practical and scientific energy optimized scheduling method, and the promotion and application of energy conservation are facilitated.

Description

technical field [0001] The invention relates to the technical field of electric power systems, in particular to an economically optimized dispatching method for a multi-microgrid active power distribution system of combined cooling, heating and power generation. Background technique [0002] Under the new form of vigorously promoting energy conservation and emission reduction, increasing the proportion of renewable energy power generation and accelerating the energy revolution, it has become the consensus of the government, enterprises and the public to actively develop distributed power and improve energy utilization efficiency; Cooling heating and power (CCHP) combined power generation system, as a typical representative of micro-energy grid, utilizes primary energy utilization rate as high as 90% through energy cascade, and becomes an important development trend of future energy technology. The management mode and control method of the traditional distribution network are...

AI Technical Summary

Problems solved by technology

[0004] According to the current research, the following outstanding deficiencies are found: 1) A single cogeneration microgrid is taken as the research subject, and the actual situation of simultaneous access to multiple microgrids in the active distribution network is not considered; 2 ) model the multi-microgrid and the active distribution network as independent stakeholders, but when solving the problem, the active distribution network is economically optimal first, and then the "secondary coordination" of the multi-microgrid system is optimal, and the multi-microgrid and active distribution network cannot be realized. Parallel solution of the power grid; 3) In the multi-microgrid active power distribution system, there are only simple electrical load requirements in the multi-microgrid, and the demand for cooling and heating loads is not considered

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