A CCP-based EHS gas-electric purchase optimization method

Abstract

The invention relates to a CCP-based EHS gas-electric purchase optimization method. The present invention aims at compensating the present situation that it is difficult for a single energy hub to give consideration to both power supply reliability and economic problems under the access of renewable energy, and provides an external gas-power purchase model of the energy hub system based on opportunity constraint planning. In view of the uncertainties of wind power and photovoltaic power in renewable energy sources, the wind power-photovoltaic probability density function is used to model the random variables in multi-state, through coupling modeling to establish interconnections between multiple energy hubs, from one to many, the energy hub system is formed, and the power transmission upper limit of power tie line and natural gas pipeline is appropriately treated by chance constrained programming. The method takes into full consideration the randomness of renewable energy power supply,also takes into account the reliability, safety and economy of energy supply, and provides a favorable reference for large-scale economic development of multi-energy system.

Description

technical field [0001] The invention relates to the field of electric power system automation, in particular to a CCP-based EHS gas and electricity purchase optimization method. Background technique [0002] With the in-depth penetration of global energy, energy utilization is developing in the direction of multi-energy coordination and multi-energy complementarity, and the energy Internet has become the integrated development direction of multiple energy networks. The traditional independent operation mode of electricity, heat and natural gas networks cannot adapt to the current way of energy production and utilization. The energy hub highly abstracts and classifies a variety of energy supply and energy demand, and realizes the functions of energy conversion, storage and distribution. General communities, hospitals, schools, etc. can be abstracted into a single energy hub, but the model of a single energy hub has weak flexibility and less schedulable energy, which is not c...

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Problems solved by technology

General communities, hospitals, schools, etc. can be abstracted into a single energy hub, but the model of a single energy hub has weak flexibility and less schedulable energy, which is not conducive to energy sharing and complementarity

At the same time, limited by the randomness and volatility of renewable resources, the access to renewable energy is uneven. Energy hubs often need to purchase a certain amount of electric energy and natural gas from external power grids and gas networks to meet the demand for electric heating loads. , and its purchase volume is often limited by the upper limit of power transmission between the system and the external power grid, the power connection line between the gas network, and the natural gas pipeline

Therefore, when the load demand of the energy hub cannot be met, in order to maintain the reliability of energy supply, the system usually invests in the construction of power connection lines or natural gas pipelines with a higher power transmission upper limit to meet the load demand, thereby increasing the investment and construction cost of the system

In addition, due to the lack of a clear model that considers the interconnection of multiple energy hubs, existing research is mostly based on a single energy hub, such as only considering the installation of related equipment to meet energy supply requirements for a single energy hub.

Under the above background, existing technologies and models are difficult to take into account the economy of the system while ensuring the reliability of the system's energy supply and meeting the load demand

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