393 / 2024-04-24 22:04:49

Resource allocation for natural gas supply enterprises considering peak shaving factors

Peak-to-valley price difference; natural gas transportation; bi-level programming; genetic algorithm

With the introduction of China's "Double-Carbon" policy and the liberalization of the natural gas market to coordinate its transportation, the country established the PipeChina. The process of natural gas resource allocation involves the formulation of contracts by both supply and demand sides, with the PipeChina handling transportation. However, during peak gas consumption in winter, natural gas supply enterprises often face pressure due to excessive demand. This issue arises primarily from two factors: firstly, ongoing development of underground gas storage means they cannot meet the demand for winter peak gas consumption; secondly, a peak-to-valley price difference policy has yet to be established, discouraging various users from participating in peak shaving due to lack of price incentives. Thus, key aspects of the natural gas resource allocation process include how the PipeChina constructs gas storage capacity and how supply and demand sides negotiate natural gas sales prices. In this process, supply enterprises negotiate sales prices and contract demand with demand parties to achieve peak shaving while meeting their own economic interests. The PipeChina transport natural gas under the set contract demand. This process can be described as a nonlinear bi-level programming model. To solve this nonlinear NP-hard problem, this paper adopts a genetic algorithm for model solving and conducts case studies to simulate natural gas supply chain scenarios.