Optimized Demand-Side Day-Ahead Generation Scheduling Model for a Wind–Photovoltaic–Energy Storage Hydrogen Production System

Abstract

This paper proposed an optimized day-ahead generation model involving hydrogen-load demand-side response, with an aim to make the operation of an integrated wind−photovoltaic−energy storage hydrogen production system more cost-efficient. Considering the time-of-use electricity pricing plan, demand for hydrogen load, and the intermittency of renewable energy, the model has the ambition to achieve minimum daily cost of operating a hydrogen production system. The model is power-balanced, fit for energy storage devices, and developed through adaptive simulated annealing particle swarm optimization. Analysis results showed that the proposed optimized scheduling model helped avoid the significant purchase of electric power at peak times and reduced the cost of running the hydrogen production system, ensuring that the daily hydrogen energy produced could meet the daily demand for the gas load. This justified how the model and its algorithm were correctly and efficiently applied.

Optimal Scheduling of the Wind-Photovoltaic-Energy Storage Multi-Energy Complementary System Considering Battery Service Life

“…The scale of construction of renewable energy generation is bound to continually increase in order to meet the strategic objectives [3]. A grid that is connected to such a large scale of randomly fluctuating renewable energy sources will lead to new problems and challenges with grid stability and power quality [4], relying only on the flexibility of thermal power units for regulation, which will inevitably result in frequent startups and shutdowns of thermal power units or prolonged operation in a deep peaking state. This will seriously threaten the safety and economy of grid operations and the traditional power system operation mode, where thermal power shares too much of the peaking task, increases fluctuations in thermal power output, reduces generation efficiency, and increases coal consumption [5,6].…”