With the continuous growth of the tertiary industry and residential loads,balancing the power supply and consumption during peak demand time has become a critical *** studies try to alleviate peak load by increasing p...
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With the continuous growth of the tertiary industry and residential loads,balancing the power supply and consumption during peak demand time has become a critical *** studies try to alleviate peak load by increasing power generation on the supply *** to the short duration of peak load,this may cause redundant installation ***,others attempt to shave peak demand by installing energy storage ***,the aforementioned research did not consider interruptible load regulation when optimizing system *** fact,regulating interruptible load has great potential for reducing system peak *** this paper,an interruptible load scheduling model considering the user subsidy rate is first proposed to reduce system peak load and operational *** model has fully addressed the constraints of minimum daily load reduction and user interruption load *** that,by taking a community in Shanghai as an example,the improved chicken swarm optimization algorithm is applied to solve the interruptible load scheduling ***,the simulation results validate the efficacy of the proposed optimizationalgorithm and indicate the significant advantages of the proposed model in alleviating the peak load and reducing operational costs.
A Projection Pursuit Evaluation model of surface water environment based on an improved chicken swarm optimization algorithm (ICSOA-PPE) is constructed using the ICSOA to optimize the optimal projection direction. Usi...
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A Projection Pursuit Evaluation model of surface water environment based on an improved chicken swarm optimization algorithm (ICSOA-PPE) is constructed using the ICSOA to optimize the optimal projection direction. Using the Jiansanjiang Administration in Heilongjiang Province, China as an example, 15 subordinate farms were used as an evaluation unit by selecting water quality indexes including CODMn, NH3-N, TP, TN, F- to evaluate the environmental quality of surface water using the ICSOA-PPE model. The results show that the environmental quality of surface water from all farms in this region was generally poor, except for that at the Qinglongshan, Qindeli and Daxing farms. These three farms met the standard for drinking water sources, while the remaining farms failed to reach the standard. By analyzing the relationship between the total amount of chemical fertilizer application per ha, the amount of nitrogen fertilizer application per ha, the amount of phosphate fertilizer application per ha and the environmental quality of the surface water, a conclusion could be reached that the total amount of chemical fertilizer has a substantial effect on water environment. Additionally, the contribution rate of the amount of nitrogen fertilizer application per ha to the organic pollution and the concentration of NH3-N is substantial, and the amount of phosphate fertilizer influences the water environmental quality to some extent. An analysis and comparison of the traversal capacity, the offset capacity and the convergence capacity of the Genetic algorithm (GA), the chickenswarmoptimizationalgorithm (CSOA) and ICSOA reveal that ICSOA is the better optimizationalgorithm, indicating that the ICSOA-PPE model is logical and reliable.
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