Design of Optimization Scheme for Energy System in Residential Parks of 10 kV Distribution Network
With the increasing demand for energy in residential parks,the issue of energy distribution in the 10 kV distribution network in electrical design is becoming increasingly prominent.However,traditional allocation schemes suffer from issues such as energy waste,imbalance,and poor stability.A power system optimization scheme for electrical design based on multi-source information collection and improved grey wolf algorithm was designed to address such issues.Firstly,based on the energy demand and supply situation of residential parks,establish a mathematical model and facilitate the collection of energy information through multi-source information collection technology.Then,based on the traditional grey wolf algorithm,a nonlinear convergence factor was introduced to form an improved grey wolf algorithm,which improved the global convergence and optimization ability of the algorithm.By using the improved grey wolf algorithm,the optimal energy allocation scheme was obtained through iterative search.The algorithm adopts an adaptive adjustment of step size and iteration number,which improves the computational efficiency and accuracy of optimization results.Finally,different schemes were introduced into the energy system to verify the correctness and superiority of the designed scheme.The results showed that the electrical design energy system optimization scheme based on multi-source information collection and improved Grey Wolf algorithm has better energy optimization allocation ability,with an accuracy allocation efficiency of over 95%and better energy allocation stability,reducing energy allocation errors and reducing them to within 3%.
distribution networkenergy systemGrey Wolf Algorithmnonlinear convergence factorenergy distribution
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