Volume 18: Sustainable Energy Solutions for a Post-COVID Recovery towards a Better Future: Part I

Expansion Planning of Community-Scale Regional Integrated Energy System Considering Grid-Source Coordination: A Cooperative Game Approach Xinglei Liu, Jun Liu, Jinchun Chen

Abstract

Regional integrated energy system (RIES) has received extensive attentions, because of its excellent energy coupling and utilization capability. However, how to effectively and reasonably develop the expansion planning of RIES remains unsolved. Therefore, in this paper, a cooperative game based expansion planning model for community-scale RIES is proposed, considering both network structure and gridsource coordination. Firstly, the mathematical models of energy hub (EH) and system constraints, based on grid-source coordination, are established. A cooperative game based expansion planning model is then established and an iterative particle swarm optimization (IPSO) algorithm is introduced to solve the mixed-integer game model. Numerical case analysis shows that the cooperative game based expansion planning will not only increase the capacity of clean energy generation (e.g. CHP units), but also effectively reduce the alliance cost and system carbon emission.

Keywords Community-scale regional integrated energy system, expansion planning, grid-source coordination, cooperative game, iterative particle swarm optimization