Station-Network Cooperative Optimization Planning of Urban Integrated Energy System Considering Heat Storage Capacity of Heat Network

Heat storage capacity of heat network in urban integrated energy system (UIES) has the potential to significantly improve the operational flexibility of the system. To obtain the optimal UIES planning scheme, a UIES station-network cooperative optimization planning (UIES-SNCOP) method considering heat storage capacity is proposed. First, a heat network operation model under constant flow-variable temperature considering flow direction depiction is established for solving the problem that the existing model cannot be directly applied to UIES-SNCOP because the flow direction of pipeline cannot be predetermined. Then, a radial structure-oriented topology model of distribution and heat networks is developed to ensure the radiality of energy supply network while also reducing planning cost. On this basis, a UIES-SNCOP model based on information gap decision theory and stochastic optimization is constructed to realize the co-optimization of the siting and sizing of energy station and topology of distribution and heat networks. Finally, a solution method of UIES-SNCOP model based on relaxation-contraction coupled McCormick envelope is proposed for effectively improving the accuracy of solution result. The planning of UIES is conducted on an urban topology containing 55 nodes to test the performance of the proposed method, and simulation results indicate that the proposed method outperforms other existing methods in terms of reducing planning cost, ensuring radial structure of the energy supply network, utilizing heat storage capacity and enhancing solution accuracy.