A Probabilistic Search Method for Optimal Resource Deployment in a Microgrid

The benefits of distributed energy resources (DERs) can be exploited by developing cost efficient deployment strategies. System planning based on stipulated reliability criteria leads to robust architectures which can meet the consumers' requirements. This paper presents a method for determining siting, sizing and optimal mix of resources from the available types of DER in a microgrid. The method recognizes the impact of combined heat and power (CHP) to meet the thermal load. The paper presents a dynamic programming formulation and demonstrates its application on a six bus test system

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