Intelligent Algorithms Of Load Management For Distribution Network

In order to meet the requirements of customers as much as possible in case of being lack of power supplying, a series of technical approaches are proposed.The load balancing measure is selected as the first choice to relieve the contradiction between supplying and needing since the customers are not influenced. Based on a single-step process on loop switches, a distribution network reconfiguration approach for load balancing is realized.An approach to obtain the optimal peak load shifting plan is proposed. The modes of working schedule regulation and holiday staggering plan are regarded as genes. The summation of products between affected user number and affected time or the summation of products between affected kWh and affected time are used as the index. A Genetic Algorithm (GA) is introduced to get the best peak load shifting plan at a certain operation mode. A single-step process on loop switches is defined to adjust the operation mode. A heuristic method is developed to obtain the optimal plan in all operation modes. By using random initial value process, the possibility to reach the global optimum solution is remarkably increased. A typical three-section-three-connecting grid is given as an example showing the feasibility of the proposed method. It is also shown that the property of the result improves with the increasing of the number of involved elements.An approach to obtain the optimal outage schedule plan is proposed to reduce the influence on customers in case of being lack of power supplying. Single-step adjustment is used to change the position of the looped switches. One day is divided into several control stages. The interruptible loads are regarded as genes. A binary coding is adopted to indicate whether there are outages in the corresponding control stages. The summation of products between affected user number and affected time or the total lost kWh is used as the index. The...