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As a type of clean and renewable energy source, wind power is being widely used all around the world. However, owing to the uncertainty and instability of the wind power, it is important to build an accurate prediction model for wind power for the grid-connected security operation. The performance of hybrid method is always better than that of single ones in the wind power prediction. Actual wind...
One of the most effective and cheapest strategies to integrate the fast-increasing number of solar-based generators is by forecasting their power output to schedule power dispatch, energy storages, manage backup generators, and compensate for any fluctuations of solar power. In particular, forecasting the insolation is invaluable to predict the power generated by photovoltaic arrays. An essential...
Interconnection of DFIG-based wind farms with LCC-HVDC is challenging for very weak AC systems. This work focuses on establishing a modeling and control design framework to analyze frequency dynamics in such systems. To that end, an averaged model of the DFIG-based wind farm connected to LCC-HVDC system has been developed where grid frequency control is used to regulate the HVDC rectifier firing angle...
This work presents de-rating\degradation factors effect on photovoltaic (PV) module energy output. It studies the turbidity and the angular optical losses to facilitate a development of an index that evaluate the level of solar radiation degradation. It is performed in an algorithm that provides a solution of optical depth, solar incidence angle on tilted PV module, turbidity index, and angular losses...
This paper analyzes the pessimistic effect on the inherent load shifting potential (LSP) of buildings due to the participation in the reserve market. A generic model-based optimization approach is deployed, which uses a validated dynamic model along with its experienced external and internal disturbances, to quantify the LSP in the presence of various price signals. The theoretical maximum LSP is...
This paper develops a hierarchical framework required to solve optimal demand dispatch of multiple buildings coordinating building energy management systems (BEMSs) and distribution system operation (DSO) control center. The proposed framework consists of mathematical model of heating, ventilation and air-conditioning (HVAC) load in buildings, model of distribution grid, objectives of BEMSs and DSO,...
In this article, a general Benders Decomposition is applied to solve a stochastic mixed integer programming formulation (SMIP) to obtain the optimal sizing of a photovoltaic system (PV) and battery energy storage system (BESS) to power a Residential Heating Ventilation and Air- Conditioning System (HVAC). The uncertainty of PV-output is stochastically modeled using different scenarios with the probability...
Flexible load response allows to manage local power consumption in response to supply conditions, such as high market price, peak demand or regulation signal, thus, lower grid operating costs, increased system reliability and improved energy efficiency can be achieved. Besides, demand response becomes large contributor to overall building expense reduction, especially in large grid-congested cities...
The increasing integration of wind power generation brings more uncertainty into the power system. Since the correlation may have a notable influence on the power system, the output powers of wind farms are generally considered as correlated random variables in uncertainty analysis. In this paper, the pair copula theory is introduced to describe the complicated dependence of multidimensional wind...
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