Stability and protection of the electrical power systems are always of primary concern. Stability can be affected mostly by increase in the load demand. Power grids are overloaded in peak hours so more power generation units are required to cope the demand. Increase in power generation is not an optimal solution. With the enlargement in Smart grid (SG), it becomes easier to correlate the consumer demand and available power. The most significant featutre of smart grid is demand response (DR) which is used to match the demand of available electrical energy and shift the peak load into off peak hours to improve the economics of energy and stability of grid stations. Presently we used Genetic algorithm (GA) to schedule the load via real time pricing signal (RTP). Load is categorized depending on their energy requirement, operational constraint and duty cycle. We conclude that GA provides optimal solution for scheduling of house hold appliances by curtailing overall utilized energy cost and peak to average ratio hence improving the load profile.

翻译：电网的稳定和保护始终是首要问题; 稳定主要受到负荷需求增加的影响; 电网在高峰时段超负荷,因此需要更多的发电单位来应付需求; 发电量的增加不是一个最佳解决办法; 随着智能电网的扩大,将消费者需求和现有电力联系起来更加容易; 智能电网的最大作用是需求反应,它用来满足现有电力的需求,并将高峰时段转为高峰时段,以改善电网站的能源和稳定性。 目前,我们利用基因算法(GA)通过实时定价信号(RTP)来安排负荷。 载荷的分类取决于其能源需求、操作限制和值勤周期。 我们的结论是,GA通过减少总使用能源成本和峰值到平均比率来改善负荷配置,为家用电器的时间安排提供了最佳解决办法。