T.T. Ha Pham (G2ELAB - Grenoble Electrical Engineering - Institut National Polytechnique de Grenoble - INPG - Université Joseph Fourier - Grenoble I) Cédric Clastres () (G2ELAB - Grenoble Electrical Engineering - Institut National Polytechnique de Grenoble - INPG - Université Joseph Fourier - Grenoble I, LEPII - Laboratoire d'Économie de la Production et de l'Intégration Internationale - CNRS : UMR5252 - Université Pierre Mendès-France - Grenoble II) F. Wurtz (G2ELAB - Grenoble Electrical Engineering - Institut National Polytechnique de Grenoble - INPG - Université Joseph Fourier - Grenoble I) S. Bacha (G2ELAB - Grenoble Electrical Engineering - Institut National Polytechnique de Grenoble - INPG - Université Joseph Fourier - Grenoble I) E. Zamaï (G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production - CNRS : UMR5272 - Institut National Polytechnique de Grenoble - INPG - Université Joseph Fourier - Grenoble I)
Abstract
The study presented in this paper takes part in a project aiming to increase the value of solar production for residential application with a medium-term vision where preferential solar energy subsidies will decrease before to disappear. This study is dedicated to propose and develop optimal energy architecture at supply side, a multi-source system based on photovoltaic (PV) solar energy connecting to main electrical network, taking further into account the effectiveness of intelligent demand side management. To investigate this issue, a method of optimal supplying system sizing and household energy management has been developed. This method, which has been formulated employing Mix Integer Linear Programming (MILP), enables the calculation of the appropriate configuration for power supply system and the optimal operation control to be applied. Using a Net Present Value (NPV) and Probability Index (P.I) basis, the economic analysis allows estimation of the viability of the proposed system under different factors of influence such as renewable energy policies, technology evolutions leading to cheaper installed PV module cost and deregulated electricity market. Simulation results show that, the solution makes it possible for PV power to be significantly valued by the customers without subsidized measures.
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Paper provided by HAL in its series Post-Print with number
halshs-00323581_v1.
Length: Date of creation: Jul 2008 Date of revision: Handle: RePEc:hal:journl:halshs-00323581_v1
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