This paper presents a heuristic reconfiguration algorithm, considering the locational economic signals of the tariffs for the use of the transmission system. Among other aspects, the economic signaling of locational tariffs encourages the rationalization of the use of transmission assets, as well as the reduction of operating costs. Therefore, the proposed algorithm is presented as an optimization problem with a focus on minimizing the transmission system usage. In order to validate the efficiency of the proposed reconfiguration algorithm, the IEEE 33 and 69 nodes test systems are evaluated. In addition, the algorithm is tested for different transmission cost allocation techniques and transmission system capacity scenarios. The results achieved demonstrate the systemic rationalization of the use of assets, which characterize the proposed algorithm as an important tool to avoid the increase in the share of energy transport in the tariff for the final consumer.

Carbon dioxide (CO₂) and hydrogen (H₂) are essential energy vectors in the green energy transition. H₂ is a fuel produced by electrolysis and is applied in heavy transportation where electrification is not feasible yet. The pollutant substance CO₂ is starting to be captured and stored in different European locations. In Denmark, the energy vision aims to use this CO₂ to be reacted with H₂, producing green methanol. Typically, the production units are not co-located with consumers and thus, the required transportation infrastructure is essential for meeting supply and demand. This work presents a novel scheme to allocate the transportation costs of CO₂ and H₂ in pipeline networks, which can be applied to any network topology and with any allocation method. During the tariff formation process, coordinated adjustments are made by the novel scheme on the original tariffs produced by the allocation method employed, considering the location of each customer connected to pipeline network. Locational tariffs are provided as result, and the total revenue recovery is guaranteed to the network owner. Considering active customers, the novel scheme will lead to a decrease of distant pipeline flows, thereby contributing to the prevention of bottlenecks in the transportation network. Thus, structural reinforcements can be avoided, reducing the total transportation cost paid by all customers in the long-term.

Modern electrical networks with automatic control devices and with models that look for minimizing their costs will naturally increase the loading on buses with lower tariffs. We can identify two factors that are contributing to accelerate the network modernization. Firstly, the global targets to reduce the emission of polluting gases, which are boosting the transport electrification, a highly dynamic element. Secondly, the greater participation of clients in decision-making processes due to advances in means of measurement and communication. In this context, the article brings two innovative and direct contributions. The integration of transmission and distribution segments in a unique set of simulation, and the proposal of a novel transmission cost allocation (TCA) methodology. The integration between both segments confirms that loads responsive to tariff signals will seek buses with lower tariffs. The results show that traditional TCA methods do not respond to load variations in a coordinated manner. Therefore, the main contribution of the proposed methodology is to capture the consumption dynamics and make tariff adjustments proportional to the load variations. It preserves the tariff characteristics of traditional TCA methods and automatically induces a dynamic tariff-load balance for the entire power system. Thus, new investments in network reinforcements can be postponed, reducing the total cost paid by users in a long-term prospect.