Feasibility of Stochastic Voltage/VAr Optimization Considering Renewable Energy Resources for Smart Grid

2016 ◽  
Vol 17 (3) ◽  
pp. 287-300 ◽  
Author(s):  
James A. Momoh ◽  
Surender Reddy Salkuti
Keyword(s):  
Renewable Energy ◽  
Full Range ◽  
Optimization Technique ◽  
Latin Hypercube Sampling ◽  
Test System ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Load Demand ◽  
Utility Companies ◽  
Fundamental Requirement

Abstract This paper proposes a stochastic optimization technique for solving the Voltage/VAr control problem including the load demand and Renewable Energy Resources (RERs) variation. The RERs often take along some inputs like stochastic behavior. One of the important challenges i. e., Voltage/VAr control is a prime source for handling power system complexity and reliability, hence it is the fundamental requirement for all the utility companies. There is a need for the robust and efficient Voltage/VAr optimization technique to meet the peak demand and reduction of system losses. The voltages beyond the limit may damage costly sub-station devices and equipments at consumer end as well. Especially, the RERs introduces more disturbances and some of the RERs are not even capable enough to meet the VAr demand. Therefore, there is a strong need for the Voltage/VAr control in RERs environment. This paper aims at the development of optimal scheme for Voltage/VAr control involving RERs. In this paper, Latin Hypercube Sampling (LHS) method is used to cover full range of variables by maximally satisfying the marginal distribution. Here, backward scenario reduction technique is used to reduce the number of scenarios effectively and maximally retain the fitting accuracy of samples. The developed optimization scheme is tested on IEEE 24 bus Reliability Test System (RTS) considering the load demand and RERs variation.

scholarly journals Assimilation of Optimal Sized Hybrid Photovoltaic-Biomass System by Dragonfly Algorithm with Grid

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1892 ◽  
Author(s):  
Smarajit Ghosh ◽  
Vinod Karar
Keyword(s):  
Renewable Energy ◽  
Optimization Technique ◽  
Optimal Number ◽  
Energy Resources ◽  
Solar Panels ◽  
Renewable Energy Resources ◽  
Dragonfly Algorithm ◽  
Bee Colony ◽  
Annual Total ◽  
The Village

A growing interest in renewable energy resources has been observed for several years, due to their pollution-free nature, availability all over the world, and continuity. These facts make these energy resources attractive for many applications. In this work, the hybrid combination of a photovoltaic-biomass system is investigated as an energy source. This paper determines optimal sizing and cost reduction of grid-integrated renewable energy resources by using an intelligence optimization technique, the dragonfly algorithm. The efficiency of the proposed methodology is also compared with an existing technique, which uses the artificial bee colony (ABC) algorithm. The scope of this work is to reduce the annual total cost of power with a reduced number of solar panels. The monthly average solar radiation is used to compute the obtained power. The outcome of the proposed technique proves that the grid-connected system with an optimal number of components satisfactorily meets the needs of the village at a reduced price. The simulation results are carried out under the MATLAB environment. The comparison of results clearly demonstrates that the proposed system is much more efficient than the existing one.

scholarly journals Real-Time Economic Dispatch by Accommodating Implications of Uncertain Renewable Energy Resources

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2484-2488
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Real Time ◽  
Economic Dispatch ◽  
Standard Test ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Economic Implications ◽  
Load Demand ◽  
Net Load

The integration of considerable renewable energy resources in power grids has imposed high variability in the net load demand to be seen by conventional generating stations. The real-time economic dispatch (RTED) of modern power systems must consider minute-to-minute variability in the net load demand on the station during a scheduling interval of 5-15 min. The existing methods therefore may not explicitly handle economic implications of power system. This paper proposes a new method for RTED while fully addressing variability in power generation from renewable energy resources and load demand. The method suggests mean PFs for committed generators by conducting (off-line) economic dispatch for each subinterval of 1 min. Mean PFs are evaluated only once, that is just at the beginning of scheduling interval and will continued throughout the interval. This reduces complexity and dimensionality of the proposed method. The simulation results on a standard test bench validate economic competence of proposed approach over that conventional one.

The Flexibility Test System for Studies of Variable Renewable Energy Resources

2020 ◽  
pp. 1-1
Author(s):  
HAO LI ◽  
Zongxiang Lu ◽  
Ying Qiao ◽  
Baosen Zhang ◽  
Yisha Lin
Keyword(s):  
Renewable Energy ◽  
Test System ◽  
Energy Resources ◽  
Renewable Energy Resources

The Flexibility Test System for Studies of Variable Renewable Energy Resources

2021 ◽  
Author(s):  
Hao Li ◽  
Zongxiang Lu ◽  
Ying Qiao ◽  
Baosen Zhang ◽  
Yisha Lin
Keyword(s):  
Renewable Energy ◽  
Test System ◽  
Energy Resources ◽  
Renewable Energy Resources

Renewable Energy Resources for Better Economics and Sustainable Living in Rural and Desert Areas

2019 ◽  
Vol 10 (12) ◽  
pp. 1165-1171
Author(s):  
Karl Gatterer ◽  
◽  
Salah Arafa ◽  
Keyword(s):  
Renewable Energy ◽  
Poverty Reduction ◽  
Energy Resources ◽  
Green Economy ◽  
Renewable Energy Resources ◽  
Economic Activities ◽  
Energy Materials ◽  
Sustainable Living ◽  
Sustainable Community Development ◽  
Access To Knowledge

Reliable and affordable energy is the key for the socio-economic development in rural and desert communities worldwide. While energy can be used for consumption purposes such as Lighting, Access to Information, Comfort and Entertainment, productive use of renewable energy is the key enabler for SMEs and Economy to grow. The paper examines the complex interactions among Energy, Materials, Water, Food, Building, Employment and Environment. It also discusses the implementation of renewable energy technologies to overcome some of barriers faced by rural villages and desert communities. It shows some of the special applications and approaches used over the past few decades in energy conversion, consumption and conservation to achieve poverty reduction, social justice and sustainable development. Field experiences in Basaisa projects, Egypt showed that open free dialogues with all stakeholders, site-specific education and training, appropriate local financing systems and access to knowledge are key-elements and essential factors for achieving green economy and sustainable community development. The coming decade will see a continued expansion of knowledge about renewable energy resources and its useful applications as systems friendly to the environment and as tools for economic activities, sustainable living and growth in rural and desert communities.

Management of Renewable Energy Resources in India

2012 ◽  
Vol 2 (11) ◽  
pp. 121-124
Author(s):  
Savitha C Savitha C ◽  
◽  
Dr. S. Mahendrakumar Dr. S. Mahendrakumar
Keyword(s):  
Renewable Energy ◽  
Energy Resources ◽  
Renewable Energy Resources

THE ANALYSIS OF OPERATION MODES OF ENERGY STORES IN AUTONOMOUS HYBRID POWER PLANTS WITH RENEWABLE ENERGY RESOURCES

2018 ◽  
pp. 55-67
Author(s):  
S. G. Obukhov ◽  
I. A. Plotnikov ◽  
V. G. Masolov
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Low Frequency ◽  
Rechargeable Batteries ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Hybrid Power ◽  
Operation Modes ◽  
Energy Stores ◽  
Energy Store

The paper presents the results of the comparative analysis of operation modes of an autonomous hybrid power complex with/without the energy store. We offere the technique which defines the power characteristics of the main components of a hybrid power complex: the consumers of the electric power, wind power and photo-electric installations (the last ones have been constructed). The paper establishes that, in order to compensate the seasonal fluctuations of power in autonomous power systems with renewable energy resources, the accumulative devices are required, with a capacity of tens of MWh including devices that are capable to provide energy storage with duration about half a year. This allows abandoning the storage devices for smoothing the seasonal fluctuations in the energy balance.The analysis of operation modes of energy stores has shown that for a stock and delivery of energy on time intervals, lasting several hours, the accumulative devices with rather high values of charging and digit power aren't required. It allows using the lead-acid rechargeable batteries of the deep category for smoothing the daily peaks of surplus and a capacity shortage. Moreover, the analysis of operation modes of energy stores as a part of the hybrid complexes has demonstrated that in charging/digit currents of the energy store the low-frequency and high-frequency pulsations of big amplitude caused by changes of size of output power of the renewable power installations and loading are inevitable. If low-frequency pulsations (the period of tens of minutes) can partially be damped due to the restriction of size of the maximum charging current of rechargeable batteries, then it is essentially impossible to eliminate high-frequency pulsations (the period of tens of seconds) in the power systems with the only store of energy. The paper finds out that the combined energy store having characteristics of the accumulator in the modes of receiving and delivery of power on daily time intervals, and at the same time having properties of the supercondenser in the modes of reception and return of impulses of power on second intervals of time is best suited to requirements of the autonomous power complexes with renewable energy resources.

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