scholarly journals A Novel Distributed Large-Scale Demand Response Scheme in High Proportion Renewable Energy Sources Integration Power Systems

2018 ◽  
Vol 8 (3) ◽  
pp. 452 ◽  
Author(s):  
Shuai Fan ◽  
Guangyu He ◽  
Kunqi Jia ◽  
Zhihua Wang
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Demand Response ◽  
Large Scale ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Response Scheme

scholarly journals Effect of Energy Storages on Flexibility and Cyber Resilience of Electric Networks

2019 ◽  
Vol 217 ◽  
pp. 01006
Author(s):  
Irina Kolosok ◽  
Elena Korkina ◽  
Victor Kurbatsky
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Cyber Security ◽  
Large Scale ◽  
Renewable Energy Sources ◽  
Power Production ◽  
Energy System ◽  
Electric Power Systems ◽  
Energy Sources ◽  
Electric Networks

When planning and managing the present-day and future transformed electric power systems (EPS), such comparatively new properties as flexibility and cyber resilience shall be taken into account along with EPS conventional properties, such as Reliability, Security, Survivability, and Vulnerability. Large-scale introduction of renewable energy sources notably lowers the EPS flexibility. Installation of Energy Storages allows compensation of power production imbalance occurred when using renewable energy sources, which makes the energy system more robust, but lowers its cyber security. The paper considers the main performances and models of Energy Storages, their impact on flexibility and cyber security of electric networks; it also presents the technique for quantifying the flexibility of a network with Energy Storages, and identifies most promising directions of studies in this area.

scholarly journals Challenges in Integrating Renewable Sources into a Utility Grid

2020 ◽  
Vol 9 (3) ◽  
pp. 91-97
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Large Scale ◽  
Renewable Energy Sources ◽  
Electrical Power ◽  
Clean Energy ◽  
Energy Sources ◽  
Electrical Power System ◽  
Renewable Sources ◽  
Utility Grid

In India, Electrical Power System is adapted to handle both constant loads and variable loads, also power is generated in two types; one is due to fossil fuels, and another one is due to renewable energy sources. However, renewable energy sources are playing a vital role in the production of clean energy and also useful for the reduction in greenhouse emission. Nevertheless, when there is any additional change in the generation side concerning to input supply, which is due to the uncertainty of nature, can create new challenges for the system operators and utility centers. It is not an easy task for the utility centres and supply operators to integrate variable renewable energy sources with the utility grid. This paper explores an overview of some operational techniques and solutions, which are helpful for high penetration of renewable energy sources such as solar and wind energy. It also explores operation, control management and challenges due to renewable energy when they integrated with the utility grid. By interfacing of renewable energy sources with a utility grid with proper management and control can provide bi-directional communication between suppliers and consumers smartly. The aim of integrating large scale renewable sources from transmission and distribution network into an existing system is to reduce the power quality issues, demand response, forecasting, peak demand, and improve network security, fast scheduling and dispatch, aiming towards smart grid technology for electrical power systems.

scholarly journals Reliability Analysis using Renewable Energy Sources

2011 ◽  
pp. 47-50
Author(s):  
V. VIVEK ◽  
CH. PRAKASH DAS
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Large Scale ◽  
Clustering Algorithm ◽  
Renewable Energy Sources ◽  
Wind Farms ◽  
Energy Sources ◽  
Reliability Indices ◽  
System States ◽  
Loss Of Load Expectation

This paper reviews some of the analytical methods developed in our laboratory for reliability evaluation of large scale power systems including renewable energy sources like photovoltaic units and wind farms. The methods presented here successfully reflect the correlations existing between the hourly load and the fluctuating energy outputs of unconventional generating units. Three different approaches, each an improvement over its predecessor, are presented for computing reliability indices like Loss of Load Expectation (LOLE) and Expected Unserved Energy (EUE). In the first approach, all the generation system models are combined hourly by means of an efficient algorithm for calculating the relevant reliability indices. The second approach uses a clustering algorithm for identifying a set of system states, such that the reliability indices are calculated for each state and then aggregated to yield overall values. The third approach introduces the concept of mean capacity outage tables for efficiently calculating EUE,

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