scholarly journals Backtracking Search Algorithm for Total Cost Optimization of Hybrid Renewable Pv/wind System Coupled With Battery Storage

2020 ◽  
Vol 19 ◽  
Keyword(s):  
Renewable Energy ◽  
Search Algorithm ◽  
Meteorological Data ◽  
Renewable Energy Sources ◽  
Wind System ◽  
Battery Storage ◽  
Backtracking Search ◽  
Backtracking Search Algorithm ◽  
Penalty Factor ◽  
The Impact

Hybrid renewable energy sources can be seen as one of the most used way to electrify remote area. They are more suitable for loads with variation in a daily basis demand. In order to size up optimally the hybrid PV/Wind system coupled with battery storage, the proposed technique is based on meteorological data to determine the electrical power produced by PV panels and wind turbine generators. Once this power is determined, the total renewable energy cost per year and the system reliability are optimized for two different scale factor f. To do so, a Backtracking Search algorithm (BSA) is used and thoroughly described throughout this paper. Moreover, some results are carried out concerning the penalty factor ɷ to highlight the impact of this factor on the rate of renewable energy (RELD).

Energy Management of Microgrid Considering Renewable Energy Sources and Electric Vehicles Using the Backtracking Search Optimization Algorithm

2020 ◽  
Vol 142 (5) ◽  
Author(s):  
Yong Li ◽  
Salim Qadir Mohammed ◽  
Goran Saman Nariman ◽  
Nahla Aljojo ◽  
Alireza Rezvani ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Management ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Electrical Energy ◽  
Energy Sources ◽  
Management Problem ◽  
Backtracking Search ◽  
Search Optimization ◽  
The Impact

Abstract Different distributed generation (DG) technologies, active loads, and storage devices create an independent microgrid (MG). Scheduling of an MG is an important issue in renewable energy sources (RESs) based systems. In this paper, MGs include RESs, plug-in hybrid electric vehicles (PHEVs), and electrical energy storage systems. The proposed scheduling framework utilizes the Monte Carlo simulation (MCS) to characterize the uncertain parameters of PHEVs and RESs. Three different charging strategies are investigated for modeling the impact of different behaviors of PHEVs in MGs. These schemes are smart, controlled, and uncontrolled charging. Due to the nonlinear feature of the suggested optimization problem, it needs an efficient optimization tool to tackle the problem appropriately. So, this paper uses the backtracking search optimization (BSO) algorithm for the short-term scheduling of an MG. The proper performance of the offered scheme is investigated in two scenarios with different time horizons. The BSO algorithm and other optimization algorithms are used for comparing the results to verify the presented method in solving the energy management problem of the MGs.

Kazakhstan: Assessment of Renewable Energy Support and a Green Economy

2021 ◽  
Vol 12 (3) ◽  
pp. 631
Author(s):  
Sergey BESPALYY
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
The State ◽  
Green Economy ◽  
Energy Sources ◽  
Environmentally Sustainable ◽  
The Government ◽  
The Impact

The growth of renewable energy sources (RES) shows the desire of the government of Kazakhstan to meet challenges that affect the welfare and development of the state. National targets, government programs, policies influence renewable energy strategies. In the future, renewable energy technologies will act as sources of a green economy and sustainable economic growth. The state policy in the field of energy in Kazakhstan is aimed at improving the conditions for the development and support of renewable energy sources, amendments are being made to provide for the holding of auctions for new RES projects, which replaces the previously existing system of fixed tariffs. It is expected that the costs of traditional power plants for the purchase of renewable energy will skyrocket, provided that the goals in the field of renewable generation are achieved. This article provides an assessment of international experience in supporting renewable energy sources, as well as analyzes the current situation in the development of renewable energy in Kazakhstan and the impact on sustainable development and popularization of the «green» economy. The study shows that by supporting the development of renewable energy sources, economic growth is possible, which is achieved in an environmentally sustainable way.

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