Cooperative Planning for Integrated Electric Heat System Considering Multi-Dimensional Operation Risks and Benefit/Cost Ratio

In order to enhance the operation economics and reduce the operation risks of large-scale integrated electric heat system (IEHS), as well as to generate the planning scheme with maximum benefits for each unit of investment, a cooperative planning method for IEHS considering multi-dimensional operation risks and benefit/cost ratio (BCR) is proposed. First, a district heat system (DHS) segmented virtual heat storage model considering regulation capacity quantification is developed, which can accurately quantify the electric power regulation capacity of DHS while considering heat storage characteristics. Then, a cooperative planning model for IEHS considering multi-dimensional operation risks and BCR is constructed, where BCR indicators considering the benefits of reducing operation cost and multi-dimensional risks including adequacy, flexibility and security are designed. Next, for the planning model containing fractional objective caused by BCR indicators, a solution method based on McCormick envelope and dynamic step sequential bound tightening is proposed for effectively enhancing the solution accuracy. Finally, an IEHS containing a 12-node 500kV transmission power system and two 10-node DHSs is used for case studies. Simulation results indicate that the proposed method outperforms other existing methods in terms of increasing BCR indicators of planning scheme, utilizing heat storage characteristics and electric power regulation capacity of DHS, and enhancing solution accuracy. Compared with the state before planning, the proposed method reduces the adequacy, flexibility, and security risks of IEHS by 68.96%, 57.87%, 67.79% respectively while reducing the operation cost by 12.13%.