Contraction of resilience on generation side due to the introduction of inflexible renewable energy sources is demanding more elasticity on consumption side. It requires more intelligent systems to be implemented to maintain power balance in the grid and to fulfill the consumer needs. This paper is concerned about the energy balance management of the system using intelligent agentbased architecture. The idea is to limit the peak power of each individual household for different defined time regions of the day according to power production during those time regions. Monte Carlo Simulation (MCS) has been employed to study the behavior of a particular number of households for maintaining the power balance based on proposed technique to limit the peak power for each household and even individual load level. Flexibility of two major loads i.e. heating load (heat storage tank) and electric vehicle load (battery) allows us to shift the peaks on demand side proportionally with the generation in real time. Different parameters related to heating and Electric Vehicle (EV) load e.g. State of Charge (SOC), storage capacities, charging power, daily usage, peak demand hours have been studied and a technique is proposed to mitigate the imbalance of power intelligently.
Summary
As power generation is shifting from centralised towards distributed, the function of the distribution network is changing. With the introduction of active loads and controllable inverters, new possibilities for controlling the distribution network arise. By providing network support services, the hosting capacity of the low voltage‐network can, for instance, be increased. To be able to provide these services, coordination and control of these smart devices is vital, however, challenges with the communication architecture still exist. Therefore, a new architecture has to be defined which can handle many different kinds of smart devices and is capable of meeting the communication requirements of legacy devices and different actors. To this extent, a three‐layer‐control architecture is proposed. This architecture separates the physical assets from the communication infrastructure and the services offered by smart devices. To demonstrate the applicability as well as the benefits of such an architecture in real life, a field trial has been performed. Through the separation of the three layers, limitations of the physical devices are addressed by algorithmic changes in the communication layer. The field trial shows the possibility of unlocking the new control options in the distribution network with legacy systems.
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