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In part II of this two-part paper, the improved particle swarm optimization (IPSO) algorithm for solving the microgrid (MG) day-ahead cooling and electricity coordinated scheduling is proposed. Significant improvements are made in comparison with the conventional PSO algorithm from two aspects. First, the mandatory correction is implemented to ensure the complex coupled constraints among the components...
In this paper, an optimal real-time home energy management to regulate the residential appliances is proposed considering renewable energy resources included in the grid. The appliances can be classified into different groups, where the time shiftable appliances are participated in the scheme to schedule their operational period via the price incentive. An improved binary swarm optimization algorithm...
In this paper, a real-time optimal appliance usage strategy is proposed based on binary particle swarm algorithm, participated by both energy suppliers and customers, together with renewable resources. With different time-of-use electricity prices, a time table for the appliance operation is derived with the least tariff objective considering the personal habits and characteristics of the appliances...
It is helpful to enhance the information security of Electric Power Information Network (EPIN) that researching the intrusion detection technology. In order to achieve efficient intrusion detection for EPIN, an Intrusion Detection System (IDS) based on the improved Ball Vector Machine (BVM) is proposed. In this paper, the IDS and its detection rules are automatically generated by the way that the...
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