Distributed Optimal Dispatching of Interconnected Electricity-Gas-Heating System

Abstract

In the researching background of integrated energy system, a single electricity-gas-heating system (EGHS) can be regarded as an active producer. In order to solve the joint optimization of integrated energy systems under the condition of incomplete information, this paper proposes a distributed optimal scheduling framework of EGHS. First, establish a coupling model of the interconnected EGHS, and perform strict second-order cone convexity of the complex natural gas flow model. Next, use the bus splitting method to realize the decoupling between different regions of the interconnected system, and employ the alternating direction multiplier method (ADMM) to solve the model. Then, construct two-region energy system (78-node grid +40-node gas grid +40-node heat grid) and three-region energy system (117-node grid +60 node gas grid +60-node heat grid) as simulation examples to verify the effectiveness of the distributed optimization framework. In the end, the algorithm solution process, the effectiveness of scheduling results, and the comparison of optimization results under different interconnection methods are analyzed in detail.

Keywords

• Electricity-gas-heating system
• alternating direction method of multiplies
• distributed optimal scheduling
• second-order cone programming