Optimal spatial and temporal demand side management in a power system comprising renewable energy sources


A model for the optimal spatiotemporal DSM in a power system with RES is proposed.

The proposed DSM provides lower power losses and better voltages in the power network.

The proposed DSM provides lower operating costs of conventional power plants.

Interior Point Method is used for optimization problem solution.

The proposed methodology has been tested in the cases of the real power systems.


The increase in installed capacity of renewable energy sources (RES) has a positive effect on the development of smart grids and demand side management (DSM). The reason for this is the intermittent nature of renewable energy, which is directly related to the problem of balancing the production and consumption of power within the power system. By using the DSM, the power consumption in the system comprising RES can be easier adjusted to the power production. The paper proposes an improved concept of DSM through the spatial and temporal DSM. The optimal spatial and temporal DSM aims at determining the power diagram of each individual load bus in order to achieve the optimal state in the whole system. The optimal state of the system can be quantified through the minimum daily energy losses or minimum daily operating costs. A mathematical definition of the optimal spatial and temporal DSM problem is presented as well as the algorithm for its solution. The proposed methodology has been tested by three test networks. The results confirm the overall system performance improvements that include: reduction of energy losses in the system, reduction of the operating costs and the increase of the voltage quality within the system.


  • Renewable energy sources;
  • Demand side management;
  • Power system losses;
  • Power plants operating costs;
  • Interior point method

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