Daniel Galeano-Suárez , David Toquica , Nilson Henao , Kodjo Agbossou , JC Oviedo-Cepeda , Michael Fournier
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引用次数: 0
Abstract
Transactive Energy Systems (TES) brought opportunities to innovate on electricity market designs and improve the economic efficiency and fairness of the grid. Cost-sharing (CS) mechanism designs are appealing in TES since they can provide fair electricity prices when acknowledging average operating costs. However, CS must consider the grid’s physical constraints to ensure the feasibility of transactions and avoid affecting service quality. For this reason, this paper introduces an assessment methodology for TES cost-sharing agreements that incorporates the physical limits of the grid, allocates the total system cost, and reduces information disclosure among participants. The proposed framework utilizes the aggregated consumption of residential customers to determine active and reactive power demands through probabilistic modeling. Subsequently, the expected values of electrical variables are computed through Monte-Carlo simulations of dynamic power flows and summarized in a transactive report. The report serves as an input to allocate penalty costs and modify demand patterns to comply with the grid safety limits. The TES assessment methodology is evaluated using the IEEE 33-bus distribution system. Study results demonstrate that the proposed Transactive Energy market, employing cost-sharing, effectively reduces the expected power consumption peaks. The results also highlight the efficacy of the proposed voltage and congestion penalty cost by encouraging users to shift consumption into safe limits.
期刊介绍:
The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency.
Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.