Optimal Configuration Planning of Electricity-Heat Synthesis System Considering Heat Storage in Buildings

Abstract

How to configurate the integrated energy systems is the essential issue for urban policy makers and energy planners. It's crucial to investigate the optimal planning approach to configurate appropriate energy supply units and energy storage devices. Presents methods emphasize various conventional & renewable energy sources and mature energy storage technologies such as a battery, molten salt heat storage, compressed air energy storage and so on. The heat storage capacity of the heat transfer networks and buildings are usually ignored during the planning stage. Based on traditional mathematical optimization methods, an innovative optimal configuration planning methods are introduced with consideration of the heat storage capacity of the buildings in the heating area. The principle of the planning method is decreases the total energy supply costs and reducing the renewable energy curtailment. The overall life-cycle cost is employed to evaluate the economic benefit of the integrated energy system, while the renewable power consumed in the integrated system is applied to reflect renewable energy curtailment reduction. Firstly, the heat-electricity synthesis system and energy storage system in a broad sense is introduced. Then, using the Genetic Algorithm to handle the mathematical optimization problems, the optimization models are analyzed in detail. Finally, a case in Beijing is studied with the proposed optimal configuration method. It concludes that as an optimal configuration planning method with consideration of heat storage in buildings, the proposed method shows outstanding advantages in renewable energy curtailment reduction.