Energy center configuration method and system considering demand side response

Abstract

The invention discloses an energy center configuration method and system considering demand side response. The method comprises the following steps: constructing a power supply-cold supply-heat supply energy center scene according to a load demand and the power generation amount of a distributed power supply; taking the minimum total investment cost of the equipment and the total operation cost of the energy center as an objective function, taking the maximum output power of the power supply-cooling-heating equipment, the power balance of the power supply-cooling-heating and the load demand as constraint conditions, and solving the objective function to obtain the access type and capacity of the power supply-cold supply-heat supply equipment meeting the demand side response under the scene of the energy center; generating a related energy center scene by adopting a Monte Carlo simulation method in consideration of certain uncertain parameters including load requirements of electric power, heat supply, cold supply and the like and the generating capacity of renewable energy sources; under the condition that demand response is considered, dividing an energy center configuration planning scheme into two stages, and carrying out planning design of an energy center and configuration of an optimal energy center by using a particle swarm algorithm.

Description

technical field [0001] The invention relates to the field of energy technology, in particular to an energy center configuration method and system considering demand-side response. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Distributed generation (DG), combined heat and power (CHP), and integration of electricity and gas grids have become important issues in recent years. Multi-carrier energy systems provide opportunities to transmit, convert and store different types of energy. This configuration is called an energy center. Compared with a single energy system, an energy center system can improve efficiency. Therefore, an energy center system will be a , an effective alternative to the electricity and heating load demands of the commercial and industrial sectors. [0004] In addition to electric heat pumps (EHP), absorption chillers...

AI Technical Summary

Problems solved by technology

As a result, the design and operation of energy center systems will be more complex and challenging than individual electricity and gas networks

[0005] The design of the energy center system includes the optimal capacity of the equipment and its interconnection. The energy center includes the load demand of electricity, heating and cooling, which all depend on the consumption pattern of consumers, which makes it difficult to accurately predict the long-term load demand, and also It brings serious uncertainties to the optimal design and operation of energy centers, but the uncertainty of these parameters is ignored in the existing energy center design methods; secondly, renewable energy sources (RESs) such as wind energy and solar energy have penetrated heavily Incorporating renewable energy into the energy center will complicate the optimal design and operation of such systems; moreover, the number of relevant scenarios generated by the Monte Carlo simulation (MCS) method is increasing. More, the more accurate the model is, but it also causes a higher computational burden

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