202 PART | II Smart Supply: Integrating Renewable & Distributed Generation paramount to success (as discussed by Jayawarna et al. [19]), and care must be taken to identify and consider the impact of simplifications on model fidelity. Currently, there is a distinct scarcity of commonly accepted comprehensive models for microgrid analysis. Energy Management To achieve goals such as the minimization of fuel consumption, an energy man- agement system (EMS) is expected to be responsible for generator dispatch and for adjusting generator set-points and parameters. However, this adjustment has implications for the stability of the microgrid, and therefore the stable limits of parameters must be well known for a range of operating conditions [20,21]. The importance of the EMS is underlined by the fact that it may be respon- sible for bidding on a deregulated market, the performance of which may deter- mine whether or not the microgrid is able to meet its economic goals. The EMS may also be responsible for reconfiguration of the microgrid during transition to and from island mode [22,23]. This is a complex problem, and it is clear that traditional industrial automation techniques are unlikely to meet these needs. There is therefore a need for the development of a new generation of management systems [24].