Optimal sizing and energy management of a stand-alone photovoltaic/pumped storage hydropower/battery hybrid system using Genetic Algorithm for reducing cost and increasing reliability
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引用次数: 2
Abstract
In this paper, a genetic algorithm is applied to optimize the sizing of an autonomous renewable energy multi-source system for reliable and economical supply of energy. The multi-source system is composed of a photovoltaic generator, a pumped storage hydropower system and a battery. The system will power public lighting and operate a garden fountain in the Botanical Garden, located in the Alexandre Aibéo Park in Covilhã (Portugal). Solar irradiance is initially simulated for a reference photovoltaic capacity (25 kWp) over one year by the PVsyst software for the city of Covilhã. Two objective functions are used for sizing optimization: the loss of power supply probability (LPSP) and the levelized cost of energy (LCE). The LCE takes into account the capital cost, the replacement cost and the cost of operation and maintenance. The genetic algorithm is used to determine the best configuration of the different subsystems (photovoltaic generator capacity, upper water reservoir capacity and battery capacity). The originality of this work lies in the combination of two storage elements with different dynamics, the introduction of an adapted energy management strategy (EMS) allowing to manage energy flows between the different subsystems and to control the process of charging/ discharging storage elements, and multi-objective optimization (considering technical and economic criteria) of the sizing of the autonomous photovoltaic/pumped storage hydropower/ battery hybrid system using genetic algorithm.
期刊介绍：
Energy & Environment is an interdisciplinary journal inviting energy policy analysts, natural scientists and engineers, as well as lawyers and economists to contribute to mutual understanding and learning, believing that better communication between experts will enhance the quality of policy, advance social well-being and help to reduce conflict. The journal encourages dialogue between the social sciences as energy demand and supply are observed and analysed with reference to politics of policy-making and implementation. The rapidly evolving social and environmental impacts of energy supply, transport, production and use at all levels require contribution from many disciplines if policy is to be effective. In particular E & E invite contributions from the study of policy delivery, ultimately more important than policy formation. The geopolitics of energy are also important, as are the impacts of environmental regulations and advancing technologies on national and local politics, and even global energy politics. Energy & Environment is a forum for constructive, professional information sharing, as well as debate across disciplines and professions, including the financial sector. Mathematical articles are outside the scope of Energy & Environment. The broader policy implications of submitted research should be addressed and environmental implications, not just emission quantities, be discussed with reference to scientific assumptions. This applies especially to technical papers based on arguments suggested by other disciplines, funding bodies or directly by policy-makers.
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