研究目的
To optimize the use of distributed energy resources in a community microgrid to achieve the lowest cost of supplying demand while managing energy variances and achieving a high load factor.
研究成果
The MOPF algorithm was successful in achieving a high load factor by optimally allocating available DERs, demonstrating the potential to have 100% of renewables installed in a microgrid without significant variances at the utility side if DERs are properly managed and controlled.
研究不足
The results obtained in this scenario may not necessarily be obtained for other scenarios due to variations in solar irradiance and less deployed resources. The study focuses on a specific case and may not generalize to all microgrid configurations.
1：Experimental Design and Method Selection:
The study uses the General Pattern Search (GPS) algorithm for random variable selection in the search space, named Microgrids Optimal Power Flow (MOPF).
2：Sample Selection and Data Sources:
A case study of a solar community with 200 houses was used, modeled with a 45-bus distribution system.
3：List of Experimental Equipment and Materials:
Includes PV systems, battery storage systems, and demand response resources.
4：Experimental Procedures and Operational Workflow:
Simulations were run for a 24-hour period with an hourly step under different conditions (sunny and cloudy days).
5：Data Analysis Methods:
The algorithm was used to find the optimal resource allocation and minimize the costs of energy production.
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