Design, implementation and evaluation of cooperative methods for short term compensation of deviations from the load schedule for dual demand side management

The transition of conventional power system into the flexible smart grids is underway. The future increase of decentralized energy conversion by interaction of thermal and electrical generations as well as changes the basic conditions introduce new opportunities and challenges. One of distributed controlling methods is a concept of a rational agent. An agent can apprehend any changes through actuators or the environment. The household submits the consumptions for the agent operator and aggregator negotiates with each household on schedules for the next day. The aggregator negotiates with each household on a load schedule, which will be followed the next day, based on forecasts for demand, generation, and weather. In the second phase, a short-term balancing mechanism monitors the system and detects possible deviations due to weather changes or unexpected user behavior. However, for the short term balancing investigation and comparison of several options is planned. One of the options is to reduce the consumption or switching to the alternative schedule. The second option is to analyze the new states of a system in presence of the deviations. By proposing the alternative solutions, try to stick to the current schedule as much as possible. This approach works on the short-term time intervals for the investigations and imposing the new strategies. The potential of Photovoltaic as an electrical generator, micro-CHP to heat and power generation and heat pump as a representative of thermostatically controlled loads are used. In the photovoltaic, the Kalman filter method is used to estimate the generation at the current time interval. The algorithm for calculating the micro-CHP operation and the dynamic behavior of the heat pumps are studied. In addition, the methodology for the optimum dispatching the excess of generations among the deviated loads is presented.