Unlock instant, AI-driven research and patent intelligence for your innovation.

Distributed energy system and energy scheduling method

A distributed energy and energy dispatching technology, applied in system integration technology, information technology support system, communication network with energy trade/energy transmission authority, etc. and other issues, to achieve the effect of improving security scheduling and facilitating rational optimization of configuration and utilization

Pending Publication Date: 2021-04-13
THE SIXTH CONSTR CO LTD OF CHINA NAT CHEM ENG
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the present invention discloses a distributed energy system and an energy scheduling method, which are used to solve the problems brought by the characteristics of distributed energy such as small capacity, large quantity, wide distribution and independent operation to the optimal scheduling of the power grid. Many technical difficulties, while limiting the grid-connected capacity of distributed energy

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
  • Distributed energy system and energy scheduling method
  • Distributed energy system and energy scheduling method
  • Distributed energy system and energy scheduling method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] This embodiment discloses as figure 1 An energy scheduling method for a distributed energy system is shown, comprising the following steps:

[0034] S1 collects power generation information and user power consumption information under the jurisdiction of the power plant, and determines the fuzzy level based on the collected power generation and power consumption information and its historical information;

[0035] S2 determines the maximum and minimum values ​​of the objective function according to the range of power generation and power consumption;

[0036] S3 customizes the objective function and objective function priority to form a multi-objective joint scheduling model;

[0037] S4 coordinates multi-objective optimization and priority, and finds an operation plan close to the set priority;

[0038] S5 minimizes the user's electricity consumption cost by adjusting the electricity consumption time, optimizes the balance between electricity consumption cost and com...

Embodiment 2

[0048] This embodiment discloses the algorithm of the loop when adjusting the electricity consumption time to minimize the user's electricity consumption cost:

[0049]

[0050] In this embodiment, the time-varying power consumption characteristics of household appliances will also affect the formulation of load regulation strategies for household users. According to the daily power demand of household users, the power consumption characteristics of household appliances over time are analyzed. The time-varying electric energy consumption characteristics of electric vehicles means that the charging and discharging time of electric vehicles is not fixed, and home users can control and adjust it.

[0051]The power consumption characteristics of non-interruptible electrical appliances are represented by the working cycle of electrical appliances. Home users can adjust but cannot interrupt the operation of electrical appliances during their working period. The power consumption...

Embodiment 3

[0054] This embodiment discloses the establishment of the regional distribution network optimization model of the power plant. At a certain moment, the state value and control quantity of the system can be expressed as follows:

[0055]

[0056] Among them, k is the optimization time; △x(k) represents the deviation between the system state quantity and the optimal scheduling; △u(k) represents the deviation between the system control quantity and the optimal scheduling; x opf , and u opf , are the system state quantity and system control quantity determined by system optimal scheduling, respectively.

[0057] In this embodiment, the system state quantities include node voltage amplitudes, line output power, and the like. The control quantity in the system includes the active power and voltage value of the adjustable generator, the controllable power supply with the converter and the load.

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 the technical field of energy scheduling, in particular to a distributed energy system and an energy scheduling method, and the method comprises the steps: determining the maximum value and minimum value of a target function according to the power generation capacity and power consumption range; customizing an objective function and the priority of the objective function to form a multi-objective joint scheduling model; performing coordination processing on the multi-objective optimization and the priority, and finding out an operation scheme close to the set priority; and by adjusting the power consumption time, minimizing the power consumption cost of the user, optimizing the balance between the power consumption cost and comfort and preference, and completing scheduling. Different types of distributed energy sources such as a DG, an energy storage system, a controllable load and an electric vehicle are aggregated through advanced technologies such as control metering communication, and the optimal operation of a plurality of DERs is coordinated according to a certain optimization target, so that the reasonable optimal configuration and utilization of resources are facilitated; the distributed power supply and the load are comprehensively optimized and managed and then are uniformly accessed to a power grid, thereby facilitating the safe scheduling of a power system and improving load power supply reliability.

Description

technical field [0001] The invention relates to the technical field of energy scheduling, in particular to a distributed energy system and an energy scheduling method. Background technique [0002] Energy is the basis for the survival and development of modern society. In order to cope with energy crisis and environmental pollution, countries are actively researching new energy technologies. Renewable energy is highly valued by people because of its inexhaustible, clean and environmentally friendly characteristics. [0003] The effective utilization of renewable energy is distributed "on-site collection, on-site storage, and on-site use". However, the distributed power generation system based on renewable energy cannot fully guarantee spontaneous generation due to its intermittent and fluctuating nature. For self-use, it needs to be interconnected with other distributed power grids or public power grids, which promotes the transformation, upgrading and development of tradit...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38H02J3/46H02J3/06H02J3/28H02J3/00G06Q50/06G06Q10/04G06Q10/06
CPCH02J3/381H02J3/466H02J3/06H02J3/28H02J3/008H02J3/004H02J3/003G06Q50/06G06Q10/04G06Q10/06315H02J2203/20H02J2203/10Y04S10/50Y02E40/70
Inventor 曹满英刘群林王劲松阮先波赵能武张培
Owner THE SIXTH CONSTR CO LTD OF CHINA NAT CHEM ENG