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Distribution network with power electronic transformer and multi-microgrid game operation scheduling method

A technology of power electronics and operation scheduling, applied in the field of distribution network, can solve problems that affect the service life of equipment, affect the safe operation of distribution network, and cannot achieve reasonable configuration, etc.

Active Publication Date: 2021-05-11
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The microgrid cannot participate in the formulation of transaction prices, and cannot realize the maximum reasonable allocation of distribution network and microgrid equipment in the market environment
[0005] In addition, considering that when the microgrid transmits energy to the distribution network, it will cause the reverse operation of the transformer, which will affect the service life of the equipment and have a certain impact on the safe operation of the distribution network.
Existing technologies have certain limitations in the actual operation of distribution network-microgrid energy transactions

Method used

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  • Distribution network with power electronic transformer and multi-microgrid game operation scheduling method
  • Distribution network with power electronic transformer and multi-microgrid game operation scheduling method
  • Distribution network with power electronic transformer and multi-microgrid game operation scheduling method

Examples

Experimental program
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Effect test

Embodiment 1

[0027] Considering different main conditions, the distribution network operator (DNO) and the microgrid have different scheduling objectives, such as maximizing revenue and minimizing operating costs, etc. [6][9] , how to achieve the optimization of different scheduling objectives among different subjects is the key problem to be solved. Since this problem involves the optimal scheduling among different subjects, it is essentially a game problem, so the embodiment of the present invention studies the distribution network-microgrid joint optimal scheduling problem from the perspective of game [10] , see figure 1 , see the description below:

[0028] 101: Build a DNO model with the goal of maximizing distribution network revenue; build a microgrid model with the goal of minimizing the operating cost of the microgrid;

[0029] 102: Use the Karush–Kuhn–Tucker (KKT) method to solve the microgrid model, and use the KKT method to obtain a series of constraints for the microgrid opt...

Embodiment 2

[0034] Combined with the specific calculation formula, figure 1 The scheme in Example 1 is further introduced, see the following description for details:

[0035] 1. DNO and Microgrid Mathematical Model

[0036] 1) DNO model

[0037] The operating objective function of DNO is the maximum income, as shown in formula (1):

[0038]

[0039] In the formula, i is the number of the micro-grid; n is the number of the micro-grid, p MG,i is the electric power between DNO and MG,i, P MG,i is the electric power interaction value between MG,i and DNO, p M is the power purchase price of DNO; P M is the electric power exchanged between the DNO and the upper-level grid, and MG,i is the i-th microgrid.

[0040] The embodiment of the present invention assumes that: if MG,i purchases electricity from DNO, then P MG,i ≥0, otherwise P MG,i <0. In addition, it is assumed that the electricity price between DNO and each microgrid is settled independently and does not affect each other. ...

Embodiment 3

[0085] Combined with the specific experimental data, figure 2 and image 3 , carry out feasibility verification to the scheme in embodiment 1 and 2, see the following description for details:

[0086] The embodiment of the present invention considers a game scenario composed of one DNO and three microgrids, and verifies the proposed method. The upper limit of transaction price between DNO and microgrid is 50$ / MWh. The operating parameters of the microgrid are shown in Table 1. The load reduction limit of the microgrid is set at 10% of its load, and the load reduction cost is set at 41$ / MWh [12] . The simulation step size is set to 1h. Considering that the power purchase price of DNO is an important factor affecting the optimal scheduling of the day, the embodiment of the present invention studies the optimal dispatch results under different power purchase prices, and the power purchase price ranges from 34$ / MWh to 46$ / MWh.

[0087] Table 1 Microgrid operating parameters...

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Abstract

The invention discloses a game operation scheduling method for a distribution network including a power electronic transformer and a multi-micro-network. The method includes the following steps: constructing a DNO model with the goal of maximizing distribution network revenue; minimizing the operating cost of the micro-grid Construct a micro-grid model for the target; use the KKT method to solve the micro-grid model, and use the KKT method to obtain a series of constraints for the optimization problem of the micro-grid to represent equivalently; incorporate the above-mentioned series of constraints into the DNO model, so that Realize the transformation of the game problem, and then solve the Nash equilibrium point, and obtain the optimal scheduling plan before the day, which can effectively balance the different scheduling objectives of DNO and each microgrid. The day-ahead optimal scheduling scheme obtained based on this method can meet the operational constraints of the DNO and the microgrid, and ensure the rationality of the energy trading scheme between the distribution network and the microgrid.

Description

technical field [0001] The invention relates to the field of distribution networks, in particular to a game operation scheduling method for a distribution network including power electronic transformers and multi-microgrids. Background technique [0002] With the increasingly tense relationship between energy supply and demand and the deteriorating global environment, how to meet the growing demand for energy while achieving the goal of energy conservation and emission reduction has become the focus of attention of the whole society. System vision [1]-[3] . Microgrid (MG) can realize the full consumption and optimization of renewable energy through the coordinated control and optimized operation of distributed generation (distribution generation, DG), energy storage system (energy storage system, ESS) and load and other units. Efficient utilization is one of the important components of the comprehensive energy system [4] . In recent years, as the proportion of micro-grid...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/38G06Q10/06G06Q50/06
CPCG06Q10/0631G06Q50/06H02J3/381H02J2203/20
Inventor 穆云飞林威贾宏杰孟宪君蒲天骄杨晓梅黄强柳丹陈乃仕
Owner TIANJIN UNIV
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