Multi-energy complementary energy internet optimized dispatching method

A technology for energy Internet and optimized scheduling, applied in the direction of communication network, resources, genetic rules, etc. with energy trade/energy transmission authority, to achieve the effect of alleviating the load pressure of the power grid, speeding up the convergence speed, and promoting peak shifting and valley filling

Inactive Publication Date: 2018-10-09
SHANGHAI UNIVERSITY OF ELECTRIC POWER +2
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Problems solved by technology

In summary, the optimal dispatch of multi-energy compl

Method used

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  • Multi-energy complementary energy internet optimized dispatching method
  • Multi-energy complementary energy internet optimized dispatching method
  • Multi-energy complementary energy internet optimized dispatching method

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Embodiment

[0042] Such as image 3 As shown, the multi-energy complementary energy Internet includes cold / heat storage units, power storage units, electric output equipment, cold output equipment, heat output equipment and load demand side. Electric output equipment includes wind power generation units, photovoltaic power generation units, gas internal combustion engine power generation systems and grid-connected mains power; cooling output equipment includes chillers and lithium bromide cold and warm water units; thermal output equipment includes air source heat pumps, chillers and lithium bromide Cold and warm water unit. Through the coordination between various equipment and systems, the cooling, heating and power load requirements on the user side are met. The gas-fired internal combustion engine generator set and waste heat utilization equipment form a combined cooling, heating and power supply unit, and the waste heat utilization equipment includes a lithium bromide cold and warm ...

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Abstract

The invention relates to a multi-energy complementary energy internet optimized dispatching method. A multi-energy complementary energy internet comprises a cold/heat storage unit, a power storage unit, an electric output device, a cold output device, a heat output device and a load demand side. The method comprises the steps that under a set control strategy, minimal system operation and maintenance cost, environment-friendly cost and comprehensive benefit cost are taken as a multi-objective function, and the constraint conditions comprise power balance constraints, power generation output power limit constraint and energy storage battery operation constraint, solving is carried out through a genetic algorithm based on self-adaptive crossover variation operation, and load optimization distribution of all equipment is obtained. Compared with the prior art, the method has the advantages that the peak shaving valley filling of an external power grid is promoted, and the load pressure ofthe power grid is relieved, so that the local consumption capacity of new energy in the area is improved, and the cleaning and high efficiency is truly achieved.

Description

technical field [0001] The invention relates to the technical field of energy dispatching, in particular to an optimal dispatching method for multi-energy complementary energy Internet. Background technique [0002] The multi-energy complementary energy Internet integrates various forms of energy (wind, light, natural gas), including waste heat utilization units, energy storage units, and energy storage units. The diversification of its energy forms increases the volatility of the system. How to improve the optimal scheduling of the system is the key to the economical, reliable, safe and efficient operation of the distributed energy Internet. [0003] The traditional distributed energy Internet is composed of renewable energy, triple power supply system and single pure energy storage system. The traditional research method mainly compares the comprehensive benefits of the traditional distributed energy supply system and the optimal dispatch under a single operation control ...

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Application Information

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IPC IPC(8): H02J3/28H02J3/00H02J3/38G06Q10/06G06Q50/06G06N3/12
CPCG06N3/126G06Q10/06315G06Q50/06H02J3/382H02J3/008H02J3/28Y04S10/50
Inventor 彭道刚张孟然沈丛奇姚峻张宇艾春美胡静刘世彬
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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