A simulation framework is proposed for DSM in mixed residential-commercial smart grids to minimize energy costs via appliance scheduling and assess impacts on voltage, power loss, and reverse flows.
Load Restoration Methodology Considering Renewable Energies and Combined Heat and Power Systems
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abstract
Outages and faults cause problems in interconnected power system with huge economic consequences in modern societies. In the power system blackouts, black start resources such as micro combined heat and power (CHP) systems and renewable energies, due to their self-start ability, are one of the solutions to restore power system as quickly as possible. In this paper, we propose a model for power system restoration considering CHP systems and renewable energy sources as being available in blackout states. We define a control variable representing a level of balance between the distance and importance of loads according to the importance and urgency of the affected customer. Dynamic power flow is considered in order to find feasible sequence and combination of loads for load restoration.
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Optimized energy utilization in small and large commercial loads and residential areas
A simulation framework is proposed for DSM in mixed residential-commercial smart grids to minimize energy costs via appliance scheduling and assess impacts on voltage, power loss, and reverse flows.