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Optimizing the Price of Electrical Energy Transactions on the Microgrid System Using the Shortest Path Solution


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DOI: https://doi.org/10.15866/iremos.v15i4.22712

Abstract


Microgrid networks that reduce greenhouse gas emissions have increased electrical energy. In electrical energy transactions, a strategy is needed to create the lowest electricity sales price optimization for consumers. Currently, optimizing the price of electricity transactions is a challenge because few still discuss offering the cheapest electricity prices. In the wheeling System Transaction (shared use of utility-owned electricity networks), optimizing the price of electrical energy transactions is still a challenge that must be resolved. This is because there is no algorithm developed to solve this problem. This research will develop an algorithm to optimize electricity price sales using the shortest path and Power Flow Tracing methods. Developing the shortest path algorithm can provide recommendations for each area that conducts electrical energy transactions. Then, electrical energy transactions are determined based on the lowest price, the most negligible loss, and the shortest distance to get the optimal price.
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Keywords


Transactive Energy; Energy Trading; Smart Grid; Cost Optimization; Photovoltaic

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References


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