scholarly journals Modeling and Formulation of Optimization Problems for Optimal Scheduling of Multi-Generation and Hybrid Energy Systems: Review and Recommendations

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1688
Author(s):  
Sheroze Liaquat ◽  
Muhammad Fahad Zia ◽  
Mohamed Benbouzid
Keyword(s):  
Energy Source ◽  
Optimization Problems ◽  
State Of The Art ◽  
Photovoltaic System ◽  
Energy Sources ◽  
Thermal Source ◽  
Objective Functions ◽  
Hybrid Energy ◽  
Different Types ◽  
Optimization Function

Increasing power demands require multiple generating units interconnected with each other to maintain the power balance of the system. This results in a highly dense power system consisting of multiple generating units which coordinate with each other to maintain the balanced performance of the system. Among different energy sources, the thermal source, the hydro energy source, the photovoltaic system, and the wind energy source are the most popular ones. Researchers have developed several optimization problems in the literature known as dispatch problems to model the system consisting of these different types of energy sources. The constraints for each system depend upon the generation type and the nature of the objective functions involved. This paper provides a state-of-the-art review of different dispatch problems and the nature of the objective functions involved in them and highlights the major constraints associated with each optimization function.

A Memetic Optimization Strategy Based on Dimension Reduction in Decision Space

2015 ◽  
Vol 23 (1) ◽  
pp. 69-100 ◽  
Author(s):  
Handing Wang ◽  
Licheng Jiao ◽  
Ronghua Shang ◽  
Shan He ◽  
Fang Liu
Keyword(s):  
Dimension Reduction ◽  
Optimization Problems ◽  
State Of The Art ◽  
Search Space ◽  
Optimization Strategy ◽  
Objective Functions ◽  
Multi Objective Optimization ◽  
Decision Space ◽  
Multi Objective ◽  
Decision Variables

There can be a complicated mapping relation between decision variables and objective functions in multi-objective optimization problems (MOPs). It is uncommon that decision variables influence objective functions equally. Decision variables act differently in different objective functions. Hence, often, the mapping relation is unbalanced, which causes some redundancy during the search in a decision space. In response to this scenario, we propose a novel memetic (multi-objective) optimization strategy based on dimension reduction in decision space (DRMOS). DRMOS firstly analyzes the mapping relation between decision variables and objective functions. Then, it reduces the dimension of the search space by dividing the decision space into several subspaces according to the obtained relation. Finally, it improves the population by the memetic local search strategies in these decision subspaces separately. Further, DRMOS has good portability to other multi-objective evolutionary algorithms (MOEAs); that is, it is easily compatible with existing MOEAs. In order to evaluate its performance, we embed DRMOS in several state of the art MOEAs to facilitate our experiments. The results show that DRMOS has the advantage in terms of convergence speed, diversity maintenance, and portability when solving MOPs with an unbalanced mapping relation between decision variables and objective functions.

scholarly journals Solar Energy Use in Dryers as an Alternative Energy Source in Agriculture

2010 ◽  
Vol 67 (1) ◽  
Author(s):  
Mirela MILITARU ◽  
Elena POSTELNICU ◽  
Mihai CHIŢOIU ◽  
Valentin VLĂDUŢ
Keyword(s):  
Energy Source ◽  
Solar Energy ◽  
Alternative Energy ◽  
Energy Use ◽  
Clean Energy ◽  
Energy Sources ◽  
Negative Effects ◽  
Alternative Energy Source ◽  
Different Types ◽  
Clean Energy Source

Solar energy represents one of the future energy sources with a high potential, used as an alternative to conventional methods, especially during summer. The advantages of using solar energy are multiple, this type of energy being virtually endless and free, and its use has no negative effects on the environment, being regarded as a clean energy source. Solar energy has multiple applications in agriculture, one of its benefits being that it is used for dryers as an alternative energy source, especially in regions with a high solar potential. In this paper different types of fruits and vegetable dryers, nationally and abroad are presented, as well as results obtained from different methods of solar dryers.

scholarly journals Investigation of Optimal Hybrid Energy Systems Using Available Energy Sources in a Rural Area of Bangladesh

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5794
Author(s):  
Fazlur Rashid ◽  
Md. Emdadul Hoque ◽  
Muhammad Aziz ◽  
Talukdar Nazmus Sakib ◽  
Md. Tariqul Islam ◽  
...  
Keyword(s):  
Energy Source ◽  
Hybrid Systems ◽  
Rural Area ◽  
Peak Load ◽  
Energy Systems ◽  
Biomass Energy ◽  
Energy Sources ◽  
Diesel Generator ◽  
Hybrid Energy ◽  
Hybrid Energy Systems

The aims of this paper are to develop hybrid energy systems considering biomass energy sources as well as a framework and optimal configuration of hybrid systems of energy for a southern sub-urban area of Bhola district in Bangladesh, named Kukri Mukri island, and analyse the feasibility of the techno-economic prospects of these systems. In this work, electrification for the rural area is analysed for different configurations of the hybrid systems. The estimation of available resources with optimal sizing and analysis of techno-economic aspects is done through HOMER Pro software to satisfy the demand of peak load. Different configurations of hybrid energy systems, including PV/diesel, PV/wind, PV/diesel/wind, PV/wind/diesel/biomass, and wind/diesel, are analysed and compared through optimization of different energy sources in HOMER. The size of the system and components are optimized and designed depending on the net present cost (NPC) and the levelized cost of energy (LCOE). Due to the lower availability and rising cost of wind energy, the outcome of this work shows a solar-based photovoltaic (PV) as the main energy source, battery as the storage media, and diesel generator as an energy source for backup. The results indicate that LCOE is much lower for PV/wind/diesel/biomass (0.142 USD/kWh) than PV/diesel (0.199 USD/kWh), PV/wind (0.239 USD/kWh), PV/diesel/wind (0.167 USD/kWh), PV/diesel (0.343 USD/kWh), and wind/diesel (0.175 USD/kWh). Additionally, it is demonstrated from the research that the genetic algorithm (GA) process gives sustainable and cost-effective outcomes compared to HOMER.

scholarly journals Optimal Utilization Of Alternative Energy Sources

2011 ◽  
Vol 8 (5) ◽  
Author(s):  
Duane J. Rosa
Keyword(s):  
Energy Source ◽  
Alternative Energy ◽  
Optimization Problem ◽  
Fundamental Problem ◽  
Optimal Solution ◽  
Energy Sources ◽  
Alternative Energy Sources ◽  
Energy Needs ◽  
Different Types ◽  
Optimum Utilization

Many areas of the world today have access to alternative energy sources to meet their energy needs. A fundamental problem facing societies today is to determine the optimum utilization of energy sources. This paper analyzes the issues involving co-utilization of different types of energy production in Iceland. Formulating a dynamic social optimization problem, expressions are derived for optimal energy supply prices from each energy source. Based on the economic characteristics of the energy sources, an optimal solution is derived that involves both periods of specialization in a single energy source as well as periods of simultaneous co-utilization of available sources.

scholarly journals A State-of-the-Art Review of the Sensor Location, Flow Observability, Estimation, and Prediction Problems in Traffic Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-26 ◽  
Author(s):  
Enrique Castillo ◽  
Zacarías Grande ◽  
Aida Calviño ◽  
W. Y. Szeto ◽  
Hong K. Lo
Keyword(s):  
Relative Error ◽  
Optimization Problems ◽  
State Of The Art ◽  
Mathematical Optimization ◽  
Integrated Approach ◽  
Specific Model ◽  
Traffic Networks ◽  
Objective Functions ◽  
Estimation And Prediction ◽  
Prediction Problems

A state-of-the-art review of flow observability, estimation, and prediction problems in traffic networks is performed. Since mathematical optimization provides a general framework for all of them, an integrated approach is used to perform the analysis of these problems and consider them as different optimization problems whose data, variables, constraints, and objective functions are the main elements that characterize the problems proposed by different authors. For example, counted, scanned or “a priori” data are the most common data sources; conservation laws, flow nonnegativity, link capacity, flow definition, observation, flow propagation, and specific model requirements form the most common constraints; and least squares, likelihood, possible relative error, mean absolute relative error, and so forth constitute the bases for the objective functions or metrics. The high number of possible combinations of these elements justifies the existence of a wide collection of methods for analyzing static and dynamic situations.

Power Electronic Converter Configurations Integration with Hybrid Energy Sources – A Comprehensive Review for State-of the-Art in Research

2019 ◽  
Vol 47 (18) ◽  
pp. 1623-1650 ◽  
Author(s):  
Kumar Krishnamurthy ◽  
Sanjeevikumar Padmanaban ◽  
Frede Blaabjerg ◽  
Ramesh Babu Neelakandan ◽  
Kettavarampalayam Ramanathan Prabhu
Keyword(s):  
State Of The Art ◽  
Energy Sources ◽  
Power Electronic ◽  
Comprehensive Review ◽  
Hybrid Energy ◽  
Power Electronic Converter

aspeed: Solver scheduling via answer set programming

2014 ◽  
Vol 15 (1) ◽  
pp. 117-142 ◽  
Author(s):  
HOLGER HOOS ◽  
ROLAND KAMINSKI ◽  
MARIUS LINDAUER ◽  
TORSTEN SCHAUB
Keyword(s):  
Optimization Problems ◽  
State Of The Art ◽  
Answer Set Programming ◽  
Data Sets ◽  
Tremendous Progress ◽  
Different Types ◽  
Problem Instances ◽  
Answer Set

AbstractAlthough Boolean Constraint Technology has made tremendous progress over the last decade, the efficacy of state-of-the-art solvers is known to vary considerably across different types of problem instances, and is known to depend strongly on algorithm parameters. This problem was addressed by means of a simple, yet effective approach using handmade, uniform, and unordered schedules of multiple solvers inppfolio, which showed very impressive performance in the 2011 Satisfiability Testing (SAT) Competition. Inspired by this, we take advantage of the modeling and solving capacities of Answer Set Programming (ASP) to automatically determine more refined, that is, nonuniform and ordered solver schedules from the existing benchmarking data. We begin by formulating the determination of such schedules as multi-criteria optimization problems and provide corresponding ASP encodings. The resulting encodings are easily customizable for different settings, and the computation of optimum schedules can mostly be done in the blink of an eye, even when dealing with large runtime data sets stemming from many solvers on hundreds to thousands of instances. Also, the fact that our approach can be customized easily enabled us to swiftly adapt it to generate parallel schedules for multi-processor machines.

scholarly journals Adaptive Plant Propagation Algorithm for Solving Economic Load Dispatch Problem

2017 ◽  
Author(s):  
Sayan Nag
Keyword(s):  
Optimization Problems ◽  
State Of The Art ◽  
Economic Load Dispatch ◽  
Objective Functions ◽  
Plant Propagation ◽  
Propagation Algorithm ◽  
Highly Nonlinear ◽  
Plant Intelligence ◽  
Classical Optimization

Optimization problems in design engineering are complex by nature, often because of the involvement of critical objective functions accompanied by a number of rigid constraints associated with the products involved. One such problem is Economic Load Dispatch (ED) problem which focuses on the optimization of the fuel cost while satisfying some system constraints. Classical optimization algorithms are not sufficient and also inefficient for the ED problem involving highly nonlinear, and non-convex functions both in the objective and in the constraints. This led to the development of metaheuristic optimization approaches which can solve the ED problem almost efficiently. This paper presents a novel robust plant intelligence based Adaptive Plant Propagation Algorithm (APPA) which is used to solve the classical ED problem. The application of the proposed method to the 3-generator and 6-generator systems shows the efficiency and robustness of the proposed algorithm. A comparative study with another state-of-the-art algorithm (APSO) demonstrates the quality of the solution achieved by the proposed method along with the convergence characteristics of the proposed approach.

scholarly journals Biomass gasification of carbonaceous feedstock for syngas production: A Review

2021 ◽  
Vol 2070 (1) ◽  
pp. 012062
Author(s):  
Aman Panchal ◽  
Vanshika Raghuvanshi ◽  
Bomma Ramanjaneyulu ◽  
Praveen Ghodke
Keyword(s):  
Energy Source ◽  
Fossil Fuel ◽  
Biomass Gasification ◽  
Energy Crops ◽  
Conversion Process ◽  
Energy Sources ◽  
Agricultural Residue ◽  
Syngas Production ◽  
Different Types ◽  
Biogenic Waste

Abstract Biomass is a renewable energy’s most abundant source which includes anything from energy crops or agricultural residue or forestry falls and animal (biogenic) waste. The biomass can be used to produce various products or can be used as an energy source, but utilization of these energy sources should be effective and efficient so the conversion process should be economical, so that it can compete in the market filled from fossil fuel derived products. This paper discusses about the different types of conversion process and the uses of the biomass derived products.

scholarly journals A thermostatted model for a network of energy sources: Analysis on the initial condition

2020 ◽  
Vol 170 ◽  
pp. 01031
Author(s):  
Marco Dalla Via ◽  
Carlo Bianca ◽  
Ikram El. Abbassi ◽  
Abdelmoumen Darcherif
Keyword(s):  
Complex System ◽  
Energy Source ◽  
Renewable Energy Source ◽  
Kinetic Theory ◽  
Storage System ◽  
Theory Model ◽  
Distribution Functions ◽  
Energy Sources ◽  
Initial Condition ◽  
Hybrid Energy

The energy multisource network is a complex system characterized by the interactions between the energy sources. Recently the thermostatted kinetic theory has been proposed for the modelling of a hybrid energy multisource network with storage. The present paper is devoted to the presentation of a thermostatted kinetic theory model for a network composed of a non-renewable and a renewable energy source. The storage system is modelled by introducing an outer force field. In particular the modelling interest is addressed to the analysis on the initial condition of the distribution functions which describe the two energy sources.

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