Microgrid (MG) is one of the important blocks in the future smart distribution systems. The scheduling pattern of MGs affects distribution system operation. Also, the optimal scheduling of MGs will be result in reliable and economical operation of distribution system. In this paper, an operational planning model of a MG which considers multiple demand response (DR) programs is proposed. In the ...

The development of energy management tools for next-generation Distributed Energy Resources (DER) based power plants, such as photovoltaic, storage units, and wind, helps systems be more flexible. Microgrids are entities that coordinate DERs in a persistently decentralized fashion, hence decreasing the operational burden on main grid permitting them to give their full benefits. A new framework ...

In the smart grid, electricity price is a key element for all participants in electric power industry. To meet grid’s various goals, Demand-Response (DR) control aims to change consumption behavior of consumers based on dynamic pricing or financial benefits. DR methods are divided into centralized and distributed communication model. control, communicate directly with company, without communica...

In this paper, a customer incentive scheme is proposed for retailers to build an effective demand response program over the peak demand period to minimize the financial risk. Firstly, an objective function is formulated based on the market operation and an optimal incentive price is derived from this objective function. Secondly, the incentive price is employed as a part of an incentive scheme ...

as there is a rapid growth both in the number of power consumers and also the limitations energy resources, it is clearly accepted that the old version of power grid must change into smart grid from head to toe. one of the most important advantages of smart grid which makes it much more exclusive rather than other typical systems is the two-way connectivity between the utility and the costumers...

this paper proposes a stochastic framework for demand response (dr) aggregator to procure dr from customers and sell it to purchasers in the wholesale electricity market. the aggregator assigns fixed dr contracts with customers based on three different load reduction strategies. in the presented problem the uncertainty of market price is considered and the risk of aggregator participation is ma...

The present paper develops a simple, easy to interpret algorithm for a large class of dynamic allocation problems with unknown, volatile demand. Potential applications include Ad Display problems and network revenue management problems. The algorithm operates in an online fashion and relies on re-optimization and forecast updates. The algorithm is robust (as witnessed by uniform worst case guar...