Abstract
To reduce the curtailment of renewable energy and improve energy efficiency, the integration of multi-energy systems, which is proven to be effective in reducing energy loss, has been extensively studied all over the world in recent years. Among all the coupled systems, the integrated electricity and heat system is comparatively mature and has been large-scale applied. However, the widely use of combined heat and power (CHP) units limits the flexibility of integrated systems due to the coupling of power and heat. This paper proposes a bi-level programming model to take full advantage of the flexibility of the heating system. The heat pumps (HP) are utilized to decouple the strong coupling constraints introduced by CHP units. The upper-level problem is the optimal power flow of power system which is composed of coal-fired units, wind turbines, and electric loads. The bottom level decision-maker is the district heating network (DHN) which contains CHP units, HP and heat loads. The upper and lower level problem are linked by price signals sent by the power system operator (PSO). A quantum optimization-based solution method combined with single-level reduction is proposed for solving the bi-level model. The simulation results show that the proposed model can reduce the curtailment of wind power and increase the profit of power system significantly according to the price signal.
Highlights
Nowadays, the utilization of renewable energy sources has been widely promoted due to its inherent characteristics such as environmentally friendly, wide distributed, and abundant reserves
To further unleash the synergies between heat and power system, this paper proposes a bi-level day-ahead dispatching model of integrated power and heat system with a large amount of wind power accessed into the power system
1) We propose a bi-level programming problem to investigate the gaming between power system and district heating system under the market environment
Summary
The utilization of renewable energy sources has been widely promoted due to its inherent characteristics such as environmentally friendly, wide distributed, and abundant reserves. B. Deng et al.: Real-Coded Quantum Optimization-Based Bi-Level Dispatching Strategy of Integrated Power and Heat systems and leads to massive wind power curtailment, especially in winter [8], [9]. Installing the TES in CHP units can effectively increase the flexibility and solve the power determined by heat problem in winter [10]–[13]. Under the guidance of subsidies, the owners of CHP units and HP will pursue maximum profit by determining the amount of electrical power consumption and production and the amount of heat produced in different periods. MATHEMATICAL MODELING OF THE OPTIMAL DISPATCHING PROBLEM The bi-level dispatching model of integrated power and heating system aims at formulating a bi-level scheduling strategy with subsidies for maximizing the profit of power system on the day-ahead market. The objective function of upper level is to minimize the operating cost of the electricity system, maximize the income of PSO
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