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Multi-Source Distributed Energy Resources Management System Based on Pattern Search Optimal Solution Using Nonlinearized Power Flow Constraints
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DOI：10.1109/ACCESS.2021.3060336.png)
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摘要
En 中文
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 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 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.
Keyword:
Microgrids
Pricing
Distributed power generation
Production
Power systems
Tariffs
Real-time systems
Energy storage
optimization methods
photovoltaic systems
power generation dispatch
hydroelectric-thermal power generation
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
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