Low-Carbon Dispatch Optimization of Integrated Energy System Including Solar Power Plant and Heat Pump Based on Information Gap Decision Theory

To cope with the problem of wind curtailment and environmental pollution caused by the contradiction between the supply and demand of heat and power in the integrated energy system (abbr. IES), a low-carbon dispatch optimization model including concentrating solar power (abbr. CSP) plant and heat pump was proposed. Firstly, the heat supply flexibility of heat pumps at the energy side was used to break the limitation on the combined heating and power (abbr. CHP) operation mode with ‘power determined by heat’, and the combined operation of CSP plant and CHP units was considered to further enhance the flexibility of CHP unit operation. Secondly, the capacity of devices in IES was optimally confugured and the uncertainty of the output of wind power, PV generation and solar thermal was processed by information gap decision theory, besides, a risk avoidance robust model was put forward. Finally, the effectiveness of the proposed model was verified by a 9-bus test system, and different scenarios were divided to verify the optimization effect of CSP plants and heat pumps to IES. Simulation results show that although the introduction of CSP plants and heat pumps makes the investment cost increased, however, the total operating cost and total carbon emission can be evidently reduced.