The Multi-Location DER-CAM is a branch of Investment & Planning DER-CAM (I&P DER-CAM), with enhanced modeling capabilities for microgrids that are spatially distributed, or district power and energy systems. If the generation, storage, and load resources in a microgrid reside close to each other, modeling the energy transfer between the resources does not play a significant role in investment and planning decisions. On the contrary, in cases where the resources are geographically distributed, the energy transfer as well as energy transfer constraints must be modeled. The Multi-Location DER-CAM intends to address this need.
The Multi-Location DER-CAM will determine the optimum portfolio of generation and storage technologies to be installed at each location (electrical or thermal node) in a microgrid, given hourly load and renewable generation potential for each location, as well as electrical and thermal distribution network characteristics. The electrical network will be modeled with a set of mixed integer linear equations, e.g. adopting from  and , which will capture the active and reactive power flow in the network. This model will be able to enforce upper and lower bus voltage constraints, as well as line/cable capacity constraints. The electrical network model will be integrated into the DER-CAM optimization model in a modular fashion, and hence, can be replaced with other mixed integer linear power flow models based on specific project needs for more accuracy or faster runtimes. The heat transfer network will be a module that will model and limit transfer of thermal fluid from one location to another, considering network losses. Similarly, this module can be replaced with higher/lower accuracy models based on specific project needs.
 S. Bolognani and S. Zampieri, “On the Existence and Linear Approximation of the Power Flow Solution in Power Distribution Networks,” IEEE Transactions on Power Systems, vol. PP, pp. 1-10, 2015.
 J. F. Franco, M. J. Rider, M. Lavorato, and R. Romero, “A mixed-integer LP model for the reconfiguration of radial electric distribution systems considering distributed generation,” Electric Power Systems Research, vol. 97, pp. 51-60, 2013.