Abstract: The present disclosure belongs to the technical field of microorganisms, and specifically relates to a non-toxin-producing Aspergillus flavus strain, a microbial inoculant, a preparation, and use. The present disclosure provides a non-toxin-producing Aspergillus flavus strain EXY1A109 with a deposit number of CCTCC No: M20221465. The strain can effectively inhibit the production of aflatoxin B1, aflatoxin B2, aflatoxin G1, and aflatoxin G2 by a toxin-producing Aspergillus flavus strain. The results of examples show that when an Aspergillus flavus strain EXY1A109 spore suspension and a strain CGMCC 3.4408 spore suspension are mixed in an equal volume, the Aspergillus flavus strain EXY1A109 spore suspension and the strain CGMCC 3.4408 spore suspension each have a concentration of 1×106, and the strain EXY1A109 has a toxin-producing inhibition rate of 99.71% against the strain CGMCC 3.4408. This Aspergillus flavus strain shows a desirable application effect.

Abstract: The present invention discloses a multi-device site selection method for an integrated energy virtual power plant, and belongs to the field of virtual power plants. The multi-device site selection method for an integrated energy virtual power plant includes the following steps: constructing a calculation method for calculating a comprehensive energy flow distribution entropy through power flow distribution in a power distribution network and flow distribution in a heat distribution network, to reflect energy distribution balance in an energy network; under a condition that capacity of each device is known, establishing a multi-device site selection optimal planning model of the integrated energy virtual power plant with a goal of maximizing a comprehensive energy flow distribution entropy index; and determining an installation location of each device of the integrated energy virtual power plant in the energy network, and determining an operating state of each device.

Abstract: The present invention discloses a multi-device site selection method for an integrated energy virtual power plant, and belongs to the field of virtual power plants. The multi-device site selection method for an integrated energy virtual power plant includes the following steps: constructing a calculation method for calculating a comprehensive energy flow distribution entropy through power flow distribution in a power distribution network and flow distribution in a heat distribution network, to reflect energy distribution balance in an energy network; under a condition that capacity of each device is known, establishing a multi-device site selection optimal planning model of the integrated energy virtual power plant with a goal of maximizing a comprehensive energy flow distribution entropy index; and determining an installation location of each device of the integrated energy virtual power plant in the energy network, and determining an operating state of each device.