The most evident proof of this is the cloud computing infrastructure based on the three tiers of IaaS (infrastructure as a service), PaaS (platform as a service), and SaaS (software as a service). Service-oriented architecture is becoming the trend in system design due to its many benefits. The two important issues of service-level agreements and composition of services are also addressed in this work. SGaaS allows greater flexibility in system design and development. Accordingly, we propose a novel smart grid as a service (SGaaS) which leverages the service-oriented architecture of systems. However, in a service-oriented design of smart grid architecture, the microgrids can choose whether to use GA-based optimization or bidding or simple matching. If the method is genetic algorithm (GA) based, then the method is designed into the system and the microgrids have no other choice but to accept the optimization method designed into the system. There is no flexibility in the way in which optimization can be performed. For example, global optimization and local optimization are predesigned into the system. It also makes a system design more reliable due to the ease in which functions can be recovered through either resubscription of new services or recovery of failed services.Īs shown in Figure 1, a conventional smart grid architecture has the functions all embedded into the system design. SOA allows greater flexibility in system design and development. In this work, we try to leverage on the popular service-oriented architecture (SOA) for filling in this gap of smart grid infrastructure. Nevertheless, the status quo of smart grid design is still far from being mature because of the lack of a basic infrastructure for communication and adaptation. Thus, the power generation utility will not need to support peak power demands as the power demands above the normal average amount can be met through distributed energy resources (DER) and energy storage systems (ESS). As a complementary effort, smart grid tries to provide a more intelligent and efficient matching between the power generation with the power demands from loads. Thus, the amount of power generated is much higher than the average required, which results in not only a waste of electrical power, but also increases in environment pollution. However, the peak usage might be much higher than the normal requirement. Thus, it has to cope with the worst case of peak power usage, for example, during the noontime of a summer day. The traditional grid is dumb and static because it does not know how much and when power is required by users. Electricity power grids are responsible for distributing electrical power to users, via substations.

Grid power optimal layout