A Multi-Energy Complementary Optimal Scheduling Method for Plants Considering Generalized Demand Response
A demand response and optimal scheduling technology, applied in the direction of total factory control, total factory control, energy industry, etc., can solve problems such as considering only economics, not considering other types of demand response resource characteristics, and failing to consider the environmental benefits of the system
Active Publication Date: 2021-01-01
ZHEJIANG UNIV
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[0003] The current energy management system of factories rarely involves multi-energy complementary coordinated scheduling between different types of energy demands, and only focuses on electricity demand response, without considering the characteristics of other types of demand response resources, and the optimization goal is single, mostly only considering economical efficiency , failing to consider the environmental benefits of the system
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[0104] The present invention will be further described below in conjunction with drawings and embodiments.
[0105] Such as Figure 1-4 As shown, a multi-energy complementary optimal scheduling method for factories considering generalized demand response includes the following steps:
[0106] Step 1. Establish a typical energy supply structure of the factory: the main equipment of the factory includes: gas internal combustion engine, photovoltaic unit, waste heat boiler, absorption chiller, central air conditioner, gas boiler, battery energy storage, ice storage device, such as figure 1 shown.
[0107] Step 2. Modeling of typical equipment in the factory: Aiming at various energy supply, energy consumption and energy storage equipment in the typical energy supply structure of the factory, establish a mathematical model of its energy flow;
[0108] Step 3. According to the energy flow model of typical equipment in the factory, the objective function and constraint conditions ...
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The invention discloses a factory multi-energy complementation optimization scheduling method considering a generalized demand response. The method comprises the following steps of 1, establishing a typical factory energy supply structure, wherein the main equipment of the factory includes: a gas internal combustion engine, a photovoltaic unit, a waste heat boiler, an absorption chiller, a centralair conditioner, a gas boiler, battery energy storage and an ice storage device; 2, modeling typical factory equipment: establishing the mathematical model of an energy flow for various energy supply, energy utilization, and energy storage devices in a typical factory energy supply architecture; 3. establishing the target function and the constraint condition of multi-energy complementation optimization scheduling according to the energy flow model of typical factory equipment; and 4, through the multi-target optimization algorithm based on a normal boundary intersection goal planning, acquiring an optimal energy utilization plan which satisfies a cut peak demand and considers economy and environmental protection property. In the invention, an optimization decision can be made for a complex optimization problem that multiple targets have differences in the primary and secondary, different dimensions and the different order of magnitudes so as to meet the multiple energy requirements of the factory.
Description
technical field [0001] The invention relates to an industrial park factory energy management considering generalized demand response based on multi-energy complementary optimization, and provides a factory multi-energy complementary optimal scheduling method considering generalized demand response. Background technique [0002] Traditional industrial parks lack unified optimization of energy use, and there are common problems such as energy waste and power shortage, which greatly affect the operating efficiency and economic and environmental benefits of the system. Therefore, it is very necessary to optimize the management of energy use in factories, so as to improve their economic benefits and energy utilization. With the development of smart distribution network technology, demand response technology has become an effective means to solve this problem. The development of multi-energy complementary integrated energy systems also enables multiple energy systems to respond i...
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IPC IPC(8): G05B19/418
CPCG05B19/41885G05B2219/32339Y02P80/10Y02P90/02
Inventor 郭创新施云辉
Owner ZHEJIANG UNIV