CN106295866A - Based on Optimization Solution unit operation cost and the grid monitoring system of start-up and shut-down costs - Google Patents

Abstract

A kind of based on Optimization Solution unit operation cost with the monitoring system of start-up and shut-down costs, including: element storing unit, editing interface unit, parameter setting unit, processing unit, detector unit and mobile terminal.In described element storing unit, storage represents the internal each assembly graphic element of electrical network, setting and the design parameter value of record component graphic element in parameter setting unit, described editing interface is transferred the design parameter of the corresponding assembly graphic element in the data message of the assembly graphic element in element storing unit and parameter setting unit simultaneously and is finally completed the making of electric power mixing system.Native system realizes optimum unit generation plan by threshold determination and the optimization function of detector unit with processing unit, in the deficiency of traditional scheduler mode between the unit that therefore this system solves to a certain extent, is effectively improved distributing rationally of electric power resource.

Description

Based on Optimization Solution unit operation cost and the grid monitoring system of start-up and shut-down costs

Technical field

The invention belongs to dispatching automation of electric power systems technical field, relate to a kind of based on Optimization Solution unit operation cost Grid monitoring system with start-up and shut-down costs.

Background technology

Along with Urbanization in China is constantly accelerated, the regional hub city area of hot zones is constantly increasing, and leads Electricity of applying increases sharply, old network system, effectively allocates model owing to lacking, thus causes generating mixing system to expire The most growing generated energy demand of foot, new dilatation area, the present city of excrescence needs subregion to ration the power supply to solve electric power allotment and need Ask, and these local produce often, logistics type enterprise, ration the power supply and can cause bigger economic loss.

And electrical network upgrading needs to put into great amount of cost, the especially design during electrical network upgrading and checking In the stage, owing to existing program means is single, causing checking amendment long in time limit, cost is high.The most traditional electrical network detecting system The duty to unit does not detects, ignores the phenomenon of optimum Working of unit in real time.

Summary of the invention

The problem existed according to prior art, the invention discloses a kind of based on Optimization Solution unit operation cost and start and stop The grid monitoring system of cost, in including:

Storage represents the element storing unit of the internal each assembly graphic element of electrical network, sets and record component graphic element tool The parameter setting unit of body parameter value and editing interface unit, detector unit and processing unit；

By transferring the assembly graphic element in element storing unit, combine in described editing interface unit, by ginseng Number setup unit sets the design parameter of each assembly graphic element, is finally completed the making of electric power mixing system；

Described processing unit transfers the assembly graphic element of design parameter, determines operation plan space；Build to include sending out The operation plan model of the minimum target of totle drilling cost of group of motors operating cost and start-up and shut-down costs, uses Gini coefficient G to characterize each The electric quantity balancing situation of power plant, and as constraints, join in the operation plan model built；

Start and stop state and the unit output of unit is obtained, it is judged that whether optimum results meets safety about by Optimization Solution Restraint, and each period within dispatching cycle carries out Security Checking, finally gives the generation schedule of generating set；

The safety that described detector unit internal memory contains unit is exerted oneself threshold value and the power threshold of start and stop state, described detection list Each unit unit output value after Optimization Solution that unit's real-time reception processing unit transmits and the performance number of start and stop state are also Judge, if above two data message exceedes the threshold value of setting simultaneously, detector unit this unit of notifier processes unit Generation schedule optimize successfully, otherwise continue optimize；

This system also includes and the mobile terminal of processing unit real-time data communication, and described mobile terminal real-time reception processes The parameter value of each unit that unit transmits concrete generation schedule under meeting security constraint and its generating cost value.

Described operation plan model is:

$\min f=\underset{i=1}{\overset{N}{\Σ}}\underset{t=1}{\overset{T}{\Σ}}(a_i{p_{i,t}}^2+b_i{p}_{i,t}+c_i{u}_{i,t}+s_{i,t})$

Constraints:

P_{I, min}u_{I, t}≤p_{I, t}≤P_{I, max}u_{I, t}

$\underset{i=1}{\overset{N}{\Σ}}{p}_{i,t}=p_t^d$

$\underset{i=1}{\overset{N}{\Σ}}{P}_{i,max}{u}_{i,t}\≥1.1p_t^d$

p_i,t+1-p_i,t≤R_U,iu_i,t+P_i,max(1-u_i,t)

p_i,t-p_i,t+1≤R_D,iu_i,t+1+P_i,max(1-u_i,t+1)

$(u_{i,t-1}-u_{i,t})(t_{i,t}^{on}-T_i^{on})\≥0$

$(u_{i,t}-u_{i,t-1})(t_{i,t}^{off}-T_i^{off})\≥0$

$\underset{\‾}{P_{i,j}}\≤\underset{i=1}{\overset{n}{\Σ}}{S}_{i,j,t}{P}_{i,t}\≤\stackrel{\‾}{P_{i,j}}$

Wherein: N is the unit number participating in scheduling in system, the time hop count that T is comprised by system dispatching cycle, a_i、b_i、c_i Coefficient for corresponding unit coal consumption cost function；p_i,tExert oneself at the meritorious of t for unit i；s_{I, t}For unit i in t Switching cost；u_i,tFor unit i in the start and stop state of t；P_i,max、P_{I, min}Minimax for unit i is exerted oneself；For system Load in t；R_U,i、R_D,iIt is respectively climbing rate and the landslide rate of unit i；It is respectively the permission of unit i Little continuous available machine time and minimum continuous downtime；P_i,jRepresent the trend bound of branch road ij respectively；S_i,j,tFor joint The sensitivity to branch road ij of the injecting power of some i；It it is the clean injecting power of the i-th node.

The calculating of Gini coefficient G uses following algorithm, and computing formula is as follows:

$X_i=\frac{\underset{t=1}{\overset{T}{\Σ}}{p}_{i,t}}{T*p_{i,\max }}$

$G=\frac{\underset{i=1}{\overset{N}{\Σ}}\underset{j=1}{\overset{N}{\Σ}}|X_i-X_j|}{2*(N-1)\underset{i=1}{\overset{N}{\Σ}}{X}_i}$

G≤G₀

Wherein: Χ_iFor characterizing the middle parameter of unit electric quantity balancing, G is the Gini coefficient embodying electric quantity balancing；G₀For often Number, the fairness degree of embodiment electric quantity balancing, take 0.1-0.4.

A kind of based on Optimization Solution unit operation cost and the grid monitoring system of start-up and shut-down costs, pass through element storing unit The graphic element of the assembly of unit China in power system is stored, editing interface unit is combined, passes through parameter Setup unit set each assembly graphic element design parameter, be finally completed the making of electric power mixing system, it is achieved by with The setting threshold value of detector unit carrys out the operation plan of the minimum target of the totle drilling cost to generating set operating cost and start-up and shut-down costs The optimization of model, reaches to control the purpose of unit generation plan.

Accompanying drawing explanation

The structural representation of electric power graphs editing system in Fig. 1 present invention；

Fig. 2 is the schematic diagram of the data message stored in element storing unit in the present invention.

Detailed description of the invention

Below in conjunction with specific embodiment, the present invention is described in detail.The present embodiment is premised on technical solution of the present invention Implement, give detailed embodiment and concrete operating process, but protection scope of the present invention is not limited to following Embodiment.

As depicted in figs. 1 and 2 a kind of is based on Optimization Solution unit operation cost with the monitoring system of start-up and shut-down costs, bag Include: element storing unit, editing interface unit, parameter setting unit, processing unit, detector unit and mobile terminal.Described unit Element memory cell storage represents the internal each assembly graphic element of electrical network, sets and record component figure in parameter setting unit The design parameter value of shape element, described editing interface transfers the data message of the assembly graphic element in element storing unit simultaneously With the making that the design parameter of the corresponding assembly graphic element in parameter setting unit is finally completed electric power mixing system.Described place Reason unit transfers the assembly graphic element of design parameter, determines operation plan space；Build to include generating set operating cost The operation plan model of minimum target with the totle drilling cost of start-up and shut-down costs, the safety that described detector unit internal memory contains unit is exerted oneself Threshold value and the power threshold of start and stop state, each unit that described detector unit real-time reception processing unit transmits is at Optimization Solution After unit output value and the performance number of start and stop state judging, if above two data message exceedes setting simultaneously During threshold value, then the generation schedule of this unit of detector unit notifier processes unit optimizes successfully, otherwise continues to optimize.Use Geordie system Number G characterizes the electric quantity balancing situation of each power plant, and as constraints, joins in the operation plan model built； Start and stop state and the unit output of unit is obtained, it is judged that whether optimum results meets security constraint, and is adjusting by Optimization Solution The each period spent in the cycle carries out Security Checking, finally gives the generation schedule of generating set.This system also includes and processes The mobile terminal of unit real-time data communication, each unit that described mobile terminal real-time reception processing unit transmits is in satisfied peace The parameter value of the concrete generation schedule under staff cultivation and its generating cost value.

Described processing unit, according to electrical network actual demand, builds with the totle drilling cost including unit operation cost and start-up and shut-down costs The operation plan model of minimum target, constraints include respectively unit output bound constraint, system active balance constraint, Spinning reserve constraint, the constraint of unit climbing rate, minimax start-off time constraints and power system security constraints.

Described operation plan model is:

$\min f=\underset{i=1}{\overset{N}{\Σ}}\underset{t=1}{\overset{T}{\Σ}}(a_i{p_{i,t}}^2+b_i{p}_{i,t}+c_i{u}_{i,t}+s_{i,t})$

Constraints:

P_{I, min}u_{I, t}≤p_{I, t}≤P_{I, max}u_{I, t}

$\underset{i=1}{\overset{N}{\Σ}}{p}_{i,t}=p_t^d$

$\underset{i=1}{\overset{N}{\Σ}}{P}_{i,max}{u}_{i,t}\≥1.1p_t^d$

p_i,t+1-p_i,t≤R_U,iu_i,t+P_i,max(1-u_i,t)

p_i,t-p_i,t+1≤R_D,iu_i,t+1+P_i,max(1-u_i,t+1)

$(u_{i,t-1}-u_{i,t})(t_{i,t}^{on}-T_i^{on})\≥0$

$(u_{i,t}-u_{i,t-1})(t_{i,t}^{off}-T_i^{off})\≥0$

$\underset{\‾}{P_{i,j}}\≤\underset{i=1}{\overset{n}{\Σ}}{S}_{i,j,t}{P}_{i,t}\≤\stackrel{\‾}{P_{i,j}}$

Wherein: N is the unit number participating in scheduling in system, the time hop count that T is comprised by system dispatching cycle, a_i、b_i、c_i Coefficient for corresponding unit coal consumption cost function；p_i,tExert oneself at the meritorious of t for unit i；s_{I, t}For unit i in t Switching cost；u_i,tFor unit i in the start and stop state of t；P_i,max、P_{I, min}Minimax for unit i is exerted oneself；For system Load in t；R_U,i、R_D,iIt is respectively climbing rate and the landslide rate of unit i；It is respectively the permission of unit i Little continuous available machine time and minimum continuous downtime；P_{I, j}Represent the trend bound of branch road ij respectively；S_{I, j, t}For joint The sensitivity to branch road ij of the injecting power of some i；It it is the clean injecting power of the i-th node.

The calculating of Gini coefficient G uses following algorithm, and computing formula is as follows:

$X_i=\frac{\underset{t=1}{\overset{T}{\Σ}}{p}_{i,t}}{T*p_{i,\max }}$

$G=\frac{\underset{i=1}{\overset{N}{\Σ}}\underset{j=1}{\overset{N}{\Σ}}|X_i-X_j|}{2*(N-1)\underset{i=1}{\overset{N}{\Σ}}{X}_i}$

G≤G₀

Wherein: Χ_iFor characterizing the middle parameter of unit electric quantity balancing, G is the Gini coefficient embodying electric quantity balancing；G₀For often Number, the fairness degree of embodiment electric quantity balancing, take 0.1-0.4.

Disclosed by the invention a kind of based on Optimization Solution unit operation cost with the monitoring system of start-up and shut-down costs, by transferring Set and record component pattern primitive in the internal each assembly graphic element of electrical network in element storing unit and parameter setting unit The design parameter value design generating set operating cost of element and the operation plan model of the minimum target of totle drilling cost of start-up and shut-down costs, Realizing optimum unit generation plan by threshold determination and the optimization function of detector unit with processing unit, therefore this system exists In the deficiency of traditional scheduler mode between the unit solved to a certain extent, it is effectively improved distributing rationally of electric power resource.

The above, the only present invention preferably detailed description of the invention, but protection scope of the present invention is not limited thereto, Any those familiar with the art in the technical scope that the invention discloses, according to technical scheme and Inventive concept equivalent or change in addition, all should contain within protection scope of the present invention.

Claims (3)

1. one kind based on Optimization Solution unit operation cost and the grid monitoring system of start-up and shut-down costs, it is characterised in that including:

Storage represents that the element storing unit of the internal each assembly graphic element of electrical network, setting record component graphic element are specifically joined The parameter setting unit of numerical value and editing interface unit, detector unit and processing unit；

By transferring the assembly graphic element in element storing unit, combine in described editing interface unit, set by parameter Cell sets the design parameter of each assembly graphic element, is finally completed the making of electric power mixing system；

Described processing unit transfers the assembly graphic element of design parameter, determines operation plan space；Build to include electromotor The operation plan model of the minimum target of totle drilling cost of group operating cost and start-up and shut-down costs, uses Gini coefficient G to characterize each power plant Electric quantity balancing situation, and as constraints, join in the operation plan model built；

Start and stop state and the unit output of unit is obtained, it is judged that whether optimum results meets security constraint by Optimization Solution, and Each period within dispatching cycle carries out Security Checking, finally gives the generation schedule of generating set；

The safety that described detector unit internal memory contains unit is exerted oneself threshold value and the power threshold of start and stop state, and described detector unit is real Time receive each unit unit output value after Optimization Solution and the performance number of start and stop state that processing unit transmits and carry out Judge, if above two data message exceedes the threshold value of setting simultaneously, sending out of detector unit notifier processes this unit of unit Electricity planning optimization success, otherwise continues to optimize；

This system also includes and the mobile terminal of processing unit real-time data communication, described mobile terminal real-time reception processing unit The parameter value of each unit transmitted concrete generation schedule under meeting security constraint and its generating cost value.

The most according to claim 1 based on Optimization Solution unit operation cost and the grid monitoring system of start-up and shut-down costs, its It is further characterized in that described operation plan model is:

$\min f=\underset{i=1}{\overset{N}{\Σ}}\underset{t=1}{\overset{T}{\Σ}}(a_i{p_{i,t}}^2+b_i{p}_{i,t}+c_i{u}_{i,t}+s_{i,t})$

Constraints:

P_{I, min}u_{I, t}≤p_{I, t}≤P_{I, max}u_{I, t}

$\underset{i=1}{\overset{N}{\Σ}}{p}_{i,t}=p_t^d$

$\underset{i=1}{\overset{N}{\Σ}}{P}_{i,max}{u}_{i,t}\≥1.1p_t^d$

p_i,t+1-p_i,t≤R_U,iu_i,t+P_i,max(1-u_i,t)

p_i,t-p_i,t+1≤R_D,iu_i,t+1+P_i,max(1-u_i,t+1)

$(u_{i,t-1}-u_{i,t})(t_{i,t}^{on}-T_i^{on})\≥0$

$(u_{i,t}-u_{i,t-1})(t_{i,t}^{off}-T_i^{off})\≥0$

$\underset{\‾}{P_{i,j}}\≤\underset{i=1}{\overset{n}{\Σ}}{S}_{i,j,t}{P}_{i,t}\≤\stackrel{\‾}{P_{i,j}}$

Wherein: N is the unit number participating in scheduling in system, the time hop count that T is comprised by system dispatching cycle, a_i、b_i、c_iFor phase Answer the coefficient of unit coal consumption cost function；p_i,tExert oneself at the meritorious of t for unit i；s_{I, t}For unit i in the start and stop of t Expense；u_i,tFor unit i in the start and stop state of t；P_i,max、P_i,_minMinimax for unit i is exerted oneself；For system at t The load in moment；R_U,i、R_D,iIt is respectively climbing rate and the landslide rate of unit i；It is respectively the permission minimum of unit i even Continuous available machine time and minimum continuous downtime； P _i,j Represent the trend bound of branch road ij respectively；S_i,j,tFor node i The injecting power sensitivity to branch road ij；P_i,tIt it is the clean injecting power of the i-th node.

The most according to claim 1 based on Optimization Solution unit operation cost and the grid monitoring system of start-up and shut-down costs, its Being further characterized in that the calculating of Gini coefficient G uses following algorithm, computing formula is as follows:

$X_i=\frac{\underset{t=1}{\overset{T}{\Σ}}{p}_{i,t}}{T*p_{i,\max }}$

$G=\frac{\underset{i=1}{\overset{N}{\Σ}}\underset{j=1}{\overset{N}{\Σ}}\left|X_i-X_j\right|}{2*(N-1)\underset{i=1}{\overset{N}{\Σ}}{X}_i}$

G≤G₀

Wherein: X_iFor characterizing the middle parameter of unit electric quantity balancing, G is the Gini coefficient embodying electric quantity balancing；G₀For constant, body The fairness degree of existing electric quantity balancing, takes 0.1-0.4.