A aloca¸c˜ao de gera¸c˜ao pro´pria de energia ´e uma rotina que deve ser realizada, normal- mente, a cada mˆes, pelos agentes que se enquadram na categoria de auto-produtores, produtores independentes com cargas pro´prias e consumidores participantes de Sociedade de Prop´osito Espec´ıfico (SPE) no Ambiente de Contrata¸c˜ao Livre (ACL). Nesse contexto, a aloca¸c˜ao de energia para as unidades do agente ´e feita baseada em uma distribui¸c˜ao proporcional ao seu consumo. Com o objetivo de otimizar essa distribuic¸˜ao, de maneira a obter os maiores ganhos poss´ıveis para o agente, este trabalho apresenta uma ferramenta computacional que possibilita a aloca¸c˜ao ´otima de gera¸c˜ao pr´opria de energia, utilizando o m´etodo Simplex. Os resultados obtidos confirmam as vantagens de se utilizar essa ferramenta de otimiza¸c˜ao em rela¸c˜ao a maneira comumente utilizada de aloca¸c˜ao. Palavras-chave: Mercado livre de energia. Gera¸c˜ao pro´pria. Otimiza¸c˜ao. Optimization tool for allocation of self-generated energy Abstract The allocation of self-generated energy is a routine that must be carried out, normally, every month by agents who fall into the category of self-producers, independent producers with their loads, and consumers participating in the Specific Purpose Company (SPE) in the Free Contracting Environment (ACL In this context, the allocation of energy to the agent's units is made based on a distribution proportional to their consumption. Aiming to optimize this distribution to obtain the greatest possible gains for the agent, this work presents a computational tool that allows the optimal allocation of own generation using the Simplex method. The results obtained confirm the advantages of using this optimization tool concerning the commonly used way of allocation. Keywords: Free energy market. Self-generated energy. Optimization.
Usually, agents in the Free Energy Contracting Environment (ACL) in Brazil, as self-producers and independent producers with their loads, must be carried out an accounting routine named allocation of self-generated energy (AGP). Considering the lack of specific works to solve such typical and necessary routines of these agents, this work presents a methodology to optimize the allocation of self-generated energy. The main contributions of this work are: (i) the elaboration of the allocation of self-generated mechanism as an optimization problem; (ii) development of a free software that provides the values to be allocated to each consumer unit in order to obtain the greatest gain with the distribution of the agent’s generation and (iii) enable an allocation analysis in order to obtain the predictability of earnings with allocation in a given future period. In case study, we used data based on a large Brazilian organization in the Steel/Metallurgy/Mining sectors. In a comparative analysis, the simulation using the optimization process guarantee a financial gain of 17%, which represents savings of 3.6 million in Brazilian currency.
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