This paper proposes a simple and practical approach to model the uncertainty of solar irradiance determines optimized day-ahead (DA) schedule electricity market. The problem formulation incorporates power output distributed photovoltaic generator (DSPVG) forecasted load demands with specified level certainty. proposed certainty levels random variables (solar demand) from their probability densi...

With the emerging technologies for Energy Intent (EI) and data-driven applications, conventional power grid network is undergoing a radical modernization. An efficient energy management electricity price forecasting remains challenging task. In this paper, new Robust Data Predictive Control framework Management System (RDPC-EMS) developed to overcome uncertainty of retail market minimize total ...

Price forecast is a task challenging and very important in competitive electricity market context. Both market players and regulators concern very much about the price evolution, on one hand, the prediction of the market price is a crucial information for the production arrangement and bidding strategies. On the other hand, the regulators need to analyze the market behavior and monitor the mark...

In the electricity market environment, regional integrated energy system (RIES) can reduce total operation cost by participating in transactions. However, RIES will face risk of load and price uncertainties, which may make its higher than expected. This paper proposes a method to optimize environment considering uncertainty. Firstly, based on structure flow relationship is analyzed, model built...

This paper proposes a novel decision making framework for an electricity retailer to procure its electric demand in a bilateral-pool market in presence of charging and discharging of electric vehicles (EVs). The operational framework is a two-stage programming model in which at the first stage, the retailer and EV aggregator do their medium-term planning. Determination of retailer's optimum sel...

This paper provides a review on modeling electricity markets with System Dynamics (SD) focusing on deregulated electricity market models. First the SD method is classified within the wide field of electricity market modeling. Then all distinctive properties of the SD method in this context are elaborated. After an overview of first SD models in energy economics, a comprehensive review of models...

The increase in PV capacities mainly in Germany had in 2011 on some days significant impacts on spot market prices at the German electricity exchange. The core objective of this paper is to investigate the possible effects of a further uptake of PV on the prices in the EU-4 (German-French-Austrian-Swiss) electricity market. We analyse two major effects: (i) the direct impact of PV at specific t...

Failure to timely identify the occurrence of various shocks in the foreign exchange market due to the close relationship with the monetary, macroeconomic, and financial uncertainty can lead to crises and imbalances. In this paper, the effect of exchange rate and investor confidence on monetary and economic uncertainty in Iran is investigated, specifying a Multivariate GARCH model and the Grange...

In the new deregulated market of the electricity industry the communication and e-Business infrastructure plays a main role for the efficiency of all the entities present in the electricity sector. From generation to the final client there are two markets, the wholesale and the retail market. Specific characteristics of the electricity industry make the communication support a fundamental tool ...