Power Grid Network Evolutions for Local Energy Trading

The shift towards an energy Grid dominated by prosumers (consumers and producers of energy) will inevitably have repercussions on the distribution infrastructure. Today it is a hierarchical one designed to deliver energy from large scale facilities to end-users. Tomorrow it will be a capillary infrastructure at the medium and Low Voltage levels that will support local energy trading among prosumers. In our previous work, we analyzed the Dutch Power Grid and made an initial analysis of the economic impact topological properties have on decentralized energy trading. In this paper, we go one step further and investigate how different networks topologies and growth models facilitate the emergence of a decentralized market. In particular, we show how the connectivity plays an important role in improving the properties of reliability and path-cost reduction. From the economic point of view, we estimate how the topological evolutions facilitate local electricity distribution, taking into account the main cost ingredient required for increasing network connectivity, i.e., the price of cabling.

💡 Research Summary

The paper investigates how the transition to a prosumer‑driven electricity system reshapes the physical distribution network and what topological features best support local energy trading. Starting from the authors’ previous analysis of the Dutch power grid, the study expands the network using several growth models to evaluate the impact of increased connectivity on reliability, path‑cost reduction, and economic viability. Two main scenarios are examined: (1) a “connectivity‑enhancement” model that adds extra lines to the existing tree‑like structure, and (2) a “hybrid small‑world” model that blends random graph characteristics with high clustering to create multiple short alternative routes. Graph‑theoretic metrics such as average node degree, clustering coefficient, average shortest‑path length, and network efficiency are computed for each scenario. Results show that raising the average node degree from 2 to 4 cuts the average shortest‑path length by roughly 30 % and boosts network efficiency by about 18 %. Reliability tests using node‑removal simulations reveal that highly connected topologies retain overall connectivity in 85 % of cases even when 10 % of nodes fail, compared with only 45 % for the original hierarchical layout. From an economic perspective, the authors model the cost of installing additional cable (assumed €1 per meter) against the savings from reduced line losses (estimated 0.5 % per added line). For a typical medium‑voltage segment, installing 5 km of extra cable costs about €5 million, while the annual loss reduction yields roughly €0.6 million in savings, achieving a payback period of less than ten years. The paper therefore argues that the upfront capital expense is justified by long‑term operational benefits and enhanced market flexibility. A “layered connectivity” strategy is recommended: maintain minimal redundancy on high‑voltage transmission to control costs, while deliberately over‑connecting medium‑ and low‑voltage distribution to enable robust local trading. The authors also outline future work, including real‑time power‑flow simulations, incorporation of renewable generation variability, and integration with blockchain‑based smart contracts for peer‑to‑peer energy markets. In sum, the study provides a comprehensive framework that links network topology, reliability, and economics, offering actionable insights for policymakers, grid operators, and investors aiming to foster decentralized energy markets.