Triple-stage coordinated planning for electricity and heat integrated energy system considering detailed modeling of generalized energy storages

Abstract

In the context of Energy Internet, the planning of electricity and heat integrated energy systems (EHIESs) from scratch supported by generalized energy storage (GES) is expected to be a significant trend. Addressing the challenges of coordinating energy stations and energy supply network planning, a triple-stage coordinated planning method for EHIES considering detailed modeling of GES is proposed in this paper. In the first stage, an energy station location and supply area partitioning optimization submodel is proposed to minimize the sum of the products of the Manhattan distances. In the second stage, the energy supply route topology planning optimization submodel considering shared routes is proposed, aiming to minimize the sum of the comprehensive energy moments. In the third stage, an equipment capacity planning and pipeline selection optimization submodel for energy stations is proposed, incorporating detailed modeling of GES. This stage builds upon the optimization results derived from the first two stages, focusing on minimizing the total planning and operating costs of the EHIES. Case studies on an improved 55-bus EHIES and the larger-scale 205-bus EHIES are conducted, and simulation results demonstrate that the proposed method reduces the total planning and operating costs by 0.12–1.4 % compared to other similar planning methods.