Under the global low-carbon target, hydrogen is essential to address uneven energy spatial
distribution and seasonal energy imbalances. However, the issues of insufficient energy …

Abstract The Electricity Supply Chain is a system of enabling procedures to optimize
processes ranging from production to transportation and consumption of electricity. The …

This paper proposes bilateral contract networks as a new scalable market design for peer-to-
peer energy trading. Coordinating small-scale distributed energy resources to shape overall …

Today, the stability of the electric power grid is maintained through real time balancing of
generation and demand. Grid scale energy storage systems are increasingly being …

Bi-level optimization and reinforcement learning (RL) constitute the state-of-the-art
frameworks for modeling strategic bidding decisions in deregulated electricity markets …

Under the background of the rapid change of energy technology and the deep integration of
artificial intelligence into the power system, it is of great significance to study the intelligent …

This paper proposes an optimal bidding strategy in the day-ahead market of a microgrid
consisting of intermittent distributed generation (DG), storage, dispatchable DG, and price …

The firefly algorithm has become an increasingly important tool of Swarm Intelligence that
has been applied in almost all areas of optimization, as well as engineering practice. Many …

Microgrids are subsystems of the distribution grid, which comprises generation capacities,
storage devices, and controllable loads, operating as a single controllable system either …

To mitigate global warming, CO 2 emission reduction has become an urgent issue in the
energy sector. In China, coal-to-gas, carbon capture and renewable energy utilization are …