The continuous improvement of energy storage and distributed generation technologies, in conjunction with demand-side pricing policies set by governments worldwide, modify electricity customers’ behavior, with potentially adverse effects on the quality of power delivered to the end-users.A major technical challenge is the optimization of power dispatch to minimize customer operating BABY BOY CLOTHING costs under constraints from the supply side.Therefore, this research proposes a multi-source distributed energy resources management system capable of delivering a compromise solution for power supply, storage, and demand-side in different electric pricing policies, using non-linear operating restrictions such as cable loading, transformer loading, power factor, maximum contract demand, and voltage level, calculated using a power flow algorithm.
To test the proposed management system, the authors evaluated two different scenarios in an existing microgrid: a time-of-use electricity tariff, and a real-time Shampoo tariff.The results show that the proposed system can lead to savings of up to 40% of the total operating costs for consumers when applied to time-of-use electricity tariff and up to 20% when applied to real-time electricity tariff, considerably reducing the violation probabilities of power quality indicators set by local utility company regulations.