Smart power grid economic dispatching method based on improved particle swarm optimization
The invention relates to a smart power grid economic dispatching method based on an improved particle swarm algorithm, and belongs to the field of smart power grid economic dispatching. The method comprises the following steps of: step 1, establishing a model by taking the sum of depreciation cost o...
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| creator | WEI MOFAN XIN CHANGQING BAI JINYU MA YANJUAN WANG YARU ZHOU HANG YE HANWEN LI ZHAOYING JIANG HE LI YUCAI JIANG MINGKUN HE YUTONG AN QI ZHAO YAN HU CHENJIA ZHAO TAO |
| description | The invention relates to a smart power grid economic dispatching method based on an improved particle swarm algorithm, and belongs to the field of smart power grid economic dispatching. The method comprises the following steps of: step 1, establishing a model by taking the sum of depreciation cost of distributed renewable energy sources, thermal power generation cost, wind-light-electricity operation and maintenance cost, thermal power operation environment cost and interruptible load cost as an objective function; step 2, establishing operation constraint conditions in a scheduling period; and step 3, substituting the model and the constraint conditions into the improved particle swarm algorithm to obtain an optimal solution, so as to enable higher economic benefits, and performing verification in Matlab simulation to obtain a verification result. According to the method, the power generation cost, the operation characteristics and the environment cost of various energy power generation modes are considered, |
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The method comprises the following steps of: step 1, establishing a model by taking the sum of depreciation cost of distributed renewable energy sources, thermal power generation cost, wind-light-electricity operation and maintenance cost, thermal power operation environment cost and interruptible load cost as an objective function; step 2, establishing operation constraint conditions in a scheduling period; and step 3, substituting the model and the constraint conditions into the improved particle swarm algorithm to obtain an optimal solution, so as to enable higher economic benefits, and performing verification in Matlab simulation to obtain a verification result. 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| subjects | CALCULATING CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONVERSION OR DISTRIBUTION OF ELECTRIC POWER COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY GENERATION PHYSICS SYSTEMS FOR STORING ELECTRIC ENERGY SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Smart power grid economic dispatching method based on improved particle swarm optimization |
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