Original Framework for Optimizing Hybrid Energy Supply

Renewable Energy, 2011

A well designed hybrid energy system can be cost effective, has a high reliability and can improve the quality of life in remote rural areas. The economic constraints can be met, if these systems are fundamentally well designed, use appropriate technology and make use effective dispatch control techniques. The first paper of this tri-series paper, presents the analysis and design of a mixed integer linear mathematical programming model (time series) to determine the optimal operation and cost optimization for a hybrid energy generation system consisting of a photovoltaic array, biomass (fuelwood), biogas, small/micro-hydro, a battery bank and a fossil fuel generator. The optimization is aimed at minimizing the cost function based on demand and potential constraints. Further, mathematical models of all other components of hybrid energy system are also developed. This is the generation mix of the remote rural of India; it may be applied to other rural areas also.

Optimization of renewable energy hybrid system looks into the process of selecting the best components and its sizing with appropriate operation strategy to provide cheap efficient, reliable and cost effective. The technoeconomic analysis usually looks at the cheapest cost of energy produced by of system components while neglecting the excess capacity of the combination. This paper discusses the optimization of the hybrid system in context of minimizing the excess energy and cost of energy. The hybrid of pico hydro, solar, wind and generator and battery as back-up is the basis of assessment. The system configuration of the hybrid is derived based on a theoretical domestic load at a remote location and local solar radiation, wind and water flow rate data. Three demand loads are used in the simulation using HOMER to find the optimum combination and sizing of components. Another set of demand loads is used to investigate the effect of reducing the demand load against the dominant power provider of the system. The results show that the cost of energy can be reduced to about 50% if the demand load is increased to the maximum capacity. Reducing the load to the capacity of the dominant power provider will reduce the cost of energy by 90%.

2015

The great availability of renewable energy resources such as wind and solar has triggered a revolution of green energy in the 21 st century that led to the development of hybrid energy supplies. Many research works have dealt with optimizing hybrid energy supplies but majority of them failed to optimize the cost of supply from the perspective of the consumer. This consists of a drawback to many optimization approaches which this paper aims at solving. The objective of the paper is therefore to optimize the cost of energy from consumer perspective by adopting the best combination of initial renewable energy plants that supply a required load for a given time. An analytical model of solar plant, wind plant and hydropower plant were first proposed and later combined with cost criteria to create an objective function. The optimization problem was put in a linear form with inequality constraints and was solved by computational methods involving the special function linprog of Matlab. Dat...

International Journal of Energy Applications and Technologies, 2020

Journal of Process Control, 2017

Combining renewable energy sources, as photovoltaic arrays (PV), wind turbine (WT), biomass fuel generators (BM), with backup units to form a Hybrid Renewable Energy System (HRES) can provide a more economic and reliable energy supply architecture compared to the separate usage of such units. In this work an optimization tool for a general HRES is developed: it generates an operating plan over a specified time horizon of the setpoints of each device to meet all electrical and thermal load requirements with possibly minimum operating costs. A large number of devices, such as conventional and renewable source generators, mandatory and deferrable/adjustable electrical loads, batteries, combined heat and power configurations are modeled with high fidelity. The optimization tool is based on a Sequential Linear Programming (SLP) algorithm, equipped with trust region, which is able to efficiently solve a general nonlinear program. A case study of a real HRES in Tuscany is presented to test the major functionalities of the developed optimization tool.

2014 5th International Renewable Energy Congress (IREC), 2014

On account of the broader use of Hybrid Renewable Energy systems (HRES), latest researches are interested in solving their optimization problem. These systems, despite their evident advantages, it presents also, important drawbacks as the discontinuity of the generation; that is why, their use requires a suitable sizing and a control optimization study. In this paper, an economic evaluation of the HRES for a typical home is studied. An overall energy management strategy, with the help of the genetic algorithm (GA), is designed for the proposed system; to manage the energy flow of the various renewable sources and the storage unit, and to minimize the annual cost of the system, so as to meet the load requirement in a reliable manner, while taking environmental factors into consideration.

Proceedings of the …, 2008

Optimization of renewable energy hybrid system looks into the process of selecting the best components and its sizing with appropriate operation strategy to provide cheap efficient, reliable and cost effective. The technoeconomic analysis usually looks at the cheapest cost of energy produced by of system components while neglecting the excess capacity of the combination. This paper discusses the optimization of the hybrid system in context of minimizing the excess energy and cost of energy. The hybrid of pico hydro, solar, wind and generator and battery as back-up is the basis of assessment. The system configuration of the hybrid is derived based on a theoretical domestic load at a remote location and local solar radiation, wind and water flow rate data. Three demand loads are used in the simulation using HOMER to find the optimum combination and sizing of components. Another set of demand loads is used to investigate the effect of reducing the demand load against the dominant power provider of the system. The results show that the cost of energy can be reduced to about 50% if the demand load is increased to the maximum capacity. Reducing the load to the capacity of the dominant power provider will reduce the cost of energy by 90%.

Applied Sciences

This paper presents a proposal for the development of a new intelligent solution for the optimization of hybrid energy systems. This solution is of great importance for installers of hybrid energy systems, as it helps them obtain the best configuration of the hybrid energy system (efficient and less expensive). In this solution, it is sufficient to enter the name of the location of the hybrid energy system that we want to install; after that, the solution will show the name of the best technology from which the optimal configuration of this system can be obtained. To accomplish this goal, the study relied on the ontology approach for two reasons, one of which is related to the nature of hybrid systems, because it is characterized by a large amount of information that requires good structuring, and the second reason is the interaction of hybrid energy systems with the external environment (climate, site characteristics). Afterward, to develop the knowledge base of the ontology, many ...

Polityka Energetyczna – Energy Policy Journal, 2019

Hybrid Renewable Energy Systems connected to the traditional power suppliers are an interesting technological solution in the field of energy engineering and the integration of renewable systems with other energy systems can significantly increase in energy reliability. In this paper, an analysis and optimization of the hybrid energy system, which uses photovoltaic modules and wind turbines components connected to the grid, is presented. The system components are optimized using two objectives criteria: economic and environmental. The optimization has been performed based on the experimental data acquired for the whole year. Results showed the optimal configuration for the hybrid system based on economical objective, that presents the best compromise between the number of components and total efficiency. This achieved the lowest cost of energy but with relatively high CO 2 emissions, while environmental objective results with lower CO 2 emissions and higher cost of energy and presents the best compromise between the number of components and system net present cost. It has been shown that a hybrid system can be optimized in such a way that CO 2 emission is maximally reduced and-separately-in terms of reducing the cost. However, the study shows that these two criteria cannot be optimized at the same time. Reducing the system cost increase CO 2 emission and enhancing ecological effect makes the system cost larger. However, depends on strategies, a balance between different optimization criteria can be found. Regardless of the strategy used economic criteria-which also indirect takes environmental aspects as a cost of penalties-should be considered as a major criterion of optimization while the other objectives including environmental objectives are less important.

Advanced Science Letters, 2013

Hybrid systems utilizing various renewable energy sources are well suited to satisfy the energy needs of rural and isolated areas not supplied directly by the electrical grid, especially in developing countries. This paper presents a mathematical formulation of Renewable Hybrid Sources connected together in order to build and economic System. This problem is expressed as a Linear Program where the objective function is to minimize the capital investment cost of each Renewable Energy components subject to the energy resources, size of components and energy demand. This method is general and can be applied to different locations as well as energy scenario. For illustration purposes, a numerical example combining Photovoltaic, Wind and Hydrokinetic Energy systems is provided.