Since the amount of decentralised power generation is increasing, it is important to develop an energy management system for low-voltage grids. This paper presents a method to operate such a management system. The sys...Since the amount of decentralised power generation is increasing, it is important to develop an energy management system for low-voltage grids. This paper presents a method to operate such a management system. The system is designed for managing a group of smart houses which can consume or supply electrical energy. The aims are to reduce the transmission losses and to stay within the permitted limits of both the voltage drop and the utilisation of lines and transformers. The reduction of the losses is implemented in the LOMA （loss-optimising-management-algorithm）. This algorithm tries to find the power flow situation where minimal losses occur. The results of LOMA, the current power situation （in the low- and medium-voltage system） and the maximum power situation （based on grid parameters） are summarised in an individual incentive signal for every smart home, The simulations show the feasibility of such an energy management and a significant loss reduction.展开更多
文摘Since the amount of decentralised power generation is increasing, it is important to develop an energy management system for low-voltage grids. This paper presents a method to operate such a management system. The system is designed for managing a group of smart houses which can consume or supply electrical energy. The aims are to reduce the transmission losses and to stay within the permitted limits of both the voltage drop and the utilisation of lines and transformers. The reduction of the losses is implemented in the LOMA （loss-optimising-management-algorithm）. This algorithm tries to find the power flow situation where minimal losses occur. The results of LOMA, the current power situation （in the low- and medium-voltage system） and the maximum power situation （based on grid parameters） are summarised in an individual incentive signal for every smart home, The simulations show the feasibility of such an energy management and a significant loss reduction.
