Abstract
This work was supported in part by the Primeros Proyectos de Investigacion under Grant PAID-06-18, in part by the Vicerrectorado de Investigacion, Innovacion y Transferencia de la Universitat Politecnica de Valencia (UPV) Valencia-Spain, Generalitat Valenciana through the Research Project under Grant AICO/2019/001, in part by the Spanish Administration under Grant FPU2016/00962, in part by the AEI/10.13039/501100011033 (Ministerio de Ciencia, Innovacion y Universidades, Spanish Government) through the Research Projects under Grant ENE-2016-78509-C3-1-P and Grant RED2018-102618-T, and in part by the EU FEDER Funds.
Highlights
Integration of Renewable Energy Sources (RES) to generate electricity has become a global priority
The optimization method included in the tool for the participation of industrial consumers in operation markets presented in this paper provides two main contributions to the existing literature:
For a typical 10% investment rate (r), the Net Present Value (NPV) of this process has risen from 2,362 e to 12,420 e and the DPP has reduced from 2.5 years to 1.4 years, as well as the Internal Rate of Return (IRR) having grown from 20% to around 60%
Summary
Integration of Renewable Energy Sources (RES) to generate electricity has become a global priority. As presented in [12], [13], the flexibility of industrial processes has a complex response with several links between decision variables and intermediate dynamic information This condition makes it difficult to achieve the formulation of the required optimization algorithm as a linear problem without altering its original features. The optimization method included in the tool for the participation of industrial consumers in operation markets presented in this paper provides two main contributions to the existing literature:. The proposed solution respects the mathematical complexity of the original problem and optimizes the consumer profit through a tailored Parallel Particle Swarm Optimization (PPSO) algorithm We applied it to a real case, and the results obtained validate the profitable participation of flexible processes of SMEs in reserve markets and the efficiency of a PPSO algorithm to model electrical engineering problems.
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