The potential of adjusting the demand of certain appliances with time-flexible duty cycles is currently used for load balancing purposes only (e. g. Demand Side Management). However, a coordinated operation scheme for consumers and producers of electrical energy may also be used for grid stabilization or in general for a more efficient utilization of existing distribution grids, directly influe...

A high density of Photovoltaic generation can lead to problems in low voltage grids. This paper addresses the problem by actively and anticipatory using the load shifting and load influencing potentials in households. The goal is to achieve a local generation/load balance. To analyse the potential in Austrian households, a model settlement is generated, which represents Austria as a small villa...

Electricity Real Time Pricing (RTP) tariffs inter alia have Demand Side Management (DSM) as a main aim. Customers are billed according to hourly fluctuating energy prices. Essentially RTP pricing signals can be seen as control inputs to change customer load usage. It is suggested that optimised pricing signals sent to RTP customers can lead to a much more efficient DSM initiative. This paper de...

The paper presents a generalized mathematical model for minimizing the total operating cost of the industry subject to the constraints. The work presented in this paper also deals with the results of application of neural network and Demand Side Management (DSM) techniques applied to a medium scale milk industrial consumer in India to achieve the improvement in load factor, reduction in Maximum...

This paper presents a network reconfiguration method for power flow optimization and, consequently, loss reduction in distribution networks with Distributed Generation (DG). The network reconfiguration problem is formulated and solved using a simple linear programming approach. Optimal configurations are determined by considering the effects of DG outputs, load variations, and various other con...

This paper presents a method for the energy management of a set of smart homes, in which batteries, thermal storage and demand response are considered as flexibilities in order to achieve minimum operation costs. To cope with the uncertainty of load forecast, a two-stage stochastic optimization process is proposed, in which the first stage decision is the committed energy to be purchased, and t...

25 The system transforms this kind of input data and constraint definitions (defined in XML) into a mathematical, constraint optimization problem using a Constraint Programming (CP) approach. Our constraint-solving library “firstCS” [3] offers the necessary primitives and Operations Research (OR) functionality to define and solve the necessary equalities and inequalities resulting from variable...

Demand-side energy management systems (EMSs) are expected to be used as a method for further balancing the supply and demand of power systems with high levels of renewable energy generation, such as photovoltaic (PV) power. Energy demand and solar radiation must be predicted to realize the optimal operation scheduling of demand-side appliances by a home energy management system (HEMS), includin...

Demand-Side-Management (DSM) is one of the key applications in the future smart grid, creating a new degree of control in order to reduce losses and fluctuations caused by volatile distributed energy resources (DERs). To integrate the consumer side, several approaches like flexible tariffs, have been proposed and tested. However, many of these approaches not have been adopted widely yet because...

the management of sedimentation problems in rivers and reservoirs depend greatly on the sediment yield from the catchment land surface. in this research the effects of biological measures and ranges enclose on suspended load in two sub-catchments of kakhk experimentalwatershed in gonabad has been studied. this catchment contains both control and experimental sub-catchments. these sub-catchments...