Virtual power plant multi-energy complementary source load storage optimal configuration method

A technology for virtual power plants and optimized configuration, which is applied in instruments, computing models, data processing applications, etc., and can solve problems such as low energy utilization, energy waste, and unbalanced load supply and demand.

Pending Publication Date: 2019-06-07
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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  • Application Information

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Problems solved by technology

[0005] Due to the unbalanced supply and demand of loads, high wind and light curtailment phenomena are caused, resulting in low energy utilization
In addition, gas turb

Method used

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  • Virtual power plant multi-energy complementary source load storage optimal configuration method
  • Virtual power plant multi-energy complementary source load storage optimal configuration method
  • Virtual power plant multi-energy complementary source load storage optimal configuration method

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[0023] The virtual power plant multi-energy complementary source-load-storage optimization configuration method includes the following steps:

[0024] 1. Establish a virtual power plant operating cost model based on predicted load demand, internal source equipment capacity, and energy storage equipment capacity;

[0025] Without considering the energy transmission loss, let C Dh Is the operating cost of the virtual power plant, the unit is yuan, and T is the number of day-ahead scheduling periods; It is the interaction cost between the VPP of the virtual power plant and the grid, in yuan; In order to purchase natural gas, the unit is yuan; It is the battery aging cost, the unit is yuan; It is the operation and maintenance cost of the virtual power plant in yuan. It is the environmental cost of the virtual power plant operation, in yuan. Grid interaction cost for:

[0026]

[0027] among them Is the electricity price purchased by the virtual power plant from the grid in the t p...

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Abstract

The invention relates to a virtual power plant multi-energy complementary source load storage optimal configuration method, which comprises the steps of establishing a virtual power plant operation cost model according to a predicted load demand, an internal source equipment capacity and an energy storage equipment capacity; establishing an internal distributed energy operation model according tothe generation of the cooling, heating and power between the internal distributed energy and the energy consumption; then carrying out deployment optimization on distributed energy in the virtual power plant by applying an evolutionary particle swarm algorithm, an operation cost model of the virtual power plant and a distributed energy operation model; carrying out deployment optimization on distributed energy in the virtual power plant; and finally, determining an operation scheme with the lowest relative operation cost according to the day-ahead prediction load demand, the real-time electricity price of the external power grid and the operation parameters of the virtual power plant source equipment. According to the method, the optimal deployment scheme of the distributed energy in the virtual power plant operation model can be comprehensively, accurately and conveniently calculated, and method guidance is provided for benefit maximization of the virtual power plant and adjustment ofthe power grid.

Description

technical field [0001] The invention relates to an energy allocation technology, in particular to a method for optimal allocation of sources, loads and storages in a virtual power plant with multi-energy complementarity. Background technique [0002] Virtual power plants can realize the aggregation and coordination optimization of distributed power sources, energy storage systems, controllable loads, electric vehicles and other distributed energy sources through advanced information and communication technology and software systems, so as to serve as a power source for a special power plant to participate in the power market and grid operation Coordinate management system. [0003] In modern power applications, the application of distributed energy is more and more extensive. Due to the randomness and uncertainty of distributed energy, its output is uneven, its harmonic content is large, and it is difficult to coordinate and utilize it. As the penetration rate of distribut...

Claims

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Application Information

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IPC IPC(8): G06Q50/06G06N3/00
CPCY04S10/50
Inventor 张宇华韩志永
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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