Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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 turbines and other equipment will generate heat energy while generating electric energy, which will cause a large amount of energy waste if they cannot be used rationally.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The optimal allocation method of source-load-storage for multi-energy complementarity of virtual power plant specifically includes the following steps:

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

[0025] In the case of ignoring 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 time slots in the day-ahead scheduling cycle; is the interaction cost between the virtual power plant VPP and the grid, in yuan; is the cost of purchasing natural gas, the unit is yuan; is the battery aging cost, in yuan; is the operation and maintenance cost of the virtual power plant, in yuan. is the environmental cost of virtual power plant operation, in yuan. grid interaction cost for:

[0026]

[0027] in is the price of electricity purchased from the grid by the v...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q50/06G06N3/00
CPCY04S10/50
Inventor 张宇华韩志永
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products