Abstract
With the increasing attention of the clean and efficient use of energy, the regional integrated energy system (RIES), as an efficient measure to improve energy efficiency, is tending to play an important role in the field of energy supply. The configuration of multiple energy storage equipment in the RIES can greatly improve the economy of the system, which is an important research direction of RIES planning. However, at present the research on the configuration optimization of electric-gas-thermal multi-energy storage devices in RIES is insufficient. Under this background, a method for configuring the rated capacity and power of various energy storage devices in the RIES under both off-grid and grid-connected operating modes was proposed in this paper, and the configuration optimization model was also established. Firstly, the RIES was divided into four parts: Energy supply, energy conversion, energy storage and the load. Based on the energy hub concept, the four parts were modeled respectively. Secondly, considering the influence of electric energy substitution and operation strategy, the optimal configuration of multi-energy storage devices was modeled as a MILP formulation and solved with the Gurobi optimizer. Finally, a case study verified the effectiveness of the proposed model and the method. Furthermore, the sensitivity analysis was carried out to quantify the influence degree of each factor (such as price, etc.) on the energy storage configuration.
Highlights
In contemporary world, undergoing drastic development of the energy internet and increasing connection of energy sources such as electricity, gas and heat, the clean and efficient use of energy has gradually become the focus of attention [1,2]
The electricity sectors and heat sectors are interconnected by technologies such as combined heat and power (CHP), the electric heat pump (HP), and electric boiler (EB), and they have been recently recognized as prominent examples for creating add-on values for both sectors [5,6]
The configuration optimization model proposed in this paper belongs to the mixed-integer linear programming solver (MILP) problem
Summary
In contemporary world, undergoing drastic development of the energy internet and increasing connection of energy sources such as electricity, gas and heat, the clean and efficient use of energy has gradually become the focus of attention [1,2]. The RIES is a typical energy internet based on a multi-energy complementary structure, which combines various ways of energy supply, such as electric power, photovoltaic energy, wind energy, nature gas and other types of energy to provide users with gas, heat and electricity at a higher overall system energy efficiency [4]. Were adopted to solve the problem of wind power consumption and environmental pollution, the varieties of energy contained in above studies were limited. The gradually mature power to gas (P2G) technology has enhanced the integration between power and gas networks, providing new ideas for the consumption of wind power and photovoltaic power in the RIES [9]. In [10], a joint scheduling
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