Multi-energy complementary system two-stage optimization scheduling method and system considering source storage load cooperation

Abstract

The invention provides a multi-energy complementary system two-stage optimization scheduling method and system considering source storage load cooperation, and the method comprises the steps: first-stage optimization: obtaining load data, taking economic optimization as a target, taking the comfort degree of a user as a constraint, obtaining the optimal load data through the optimization of a genetic algorithm, and taking the optimized load as the input of second-stage optimization; second-stage optimization: optimizing equipment output and an energy storage state on the basis of random dynamic planning by taking the lowest operation cost as a target, and outputting the operation cost to first-stage optimization; performing loop iteration on the first-stage optimization and the second-stage optimization to obtain an optimal load curve and an optimal operation scheduling plan of the system, and realizing source-load optimal matching. Through double-layer optimization loop iteration, theoptimal load curve and the system operation plan are finally obtained, demand side response, energy storage and random optimization are effectively unified in one optimization framework, the source-load random problem is effectively solved, source-load optimal matching is achieved, and the economy of the system is further improved.

Description

technical field [0001] The present disclosure relates to the technical field of environmental protection and energy saving, and in particular to a two-level optimal scheduling method and system for a multi-energy complementary system taking into account the coordination of source, storage and load. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] The world is facing an unprecedented energy and environmental crisis, and the key way to solve the problem is to vigorously develop renewable energy distributed energy supply systems dominated by wind and rain. The multi-energy complementary system is composed of renewable energy power generation, heating / cooling, and combined cooling, heating, and power (CCHP) systems. Based on the principle of energy cascade utilization, it can meet the diversified energy needs of users for electricity, cooling...

AI Technical Summary

Problems solved by technology

The optimal scheduling of the system is the premise to ensure its economical and efficient operation. However, due to the uncertainty of renewable energy power generation (wind power, photovoltaic, etc.) Key issues restricting the development of multi-energy complementary systems

[0004] The inventor of the present disclosure searched the existing patents and found the patent "Operation Method of Cooling, Heating and Power Cogeneration Microgrid Based on Two-stage Coordinated Optimization and Control" (Patent No. CN106505634A). This patent proposes a two-stage coordinated optimization The micro-grid operation method based on combined cooling, heating and power supply and control realizes the coordinated scheduling of the cooling, heating and power micro-grid within a day and in real time. However, the optimization method of this patent does not consider the problem of load scheduling; the patent "a A Source-Network-Load Coordinated Control Method and System Based on New Energy Consumption" (Patent No. CN 106505634 A). This patent adopts multi-component coordinated control technology to carry out overall coordinated scheduling of scattered controllable loads in the region to realize multiple energy sources. The characteristics of the controllable load are complementary to achieve the interaction of source / network / load. However, this patent is only applicable to power subsystems, and is not applicable to multi-energy (cold, heat, electricity) systems

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