CN104850956A - Meter and user side interactive power generation dispatching method based on intelligent power grid - Google Patents

Abstract

The invention relates to a meter and user side interactive power generation dispatching method based on an intelligent power grid. The method comprises the following steps: firstly providing a user load curve, which is obtained by predicting based on a time-of-use electricity price user response principle of consumer psychology; then considering coordinated optimization of interruptible standby and generation side standby; and finally comprehensively measuring various interests, selecting an optimal time-of-use electricity price and optimal interruptible standby capacity in lowest power generation cost, and making a plan of power generation dispatching. Beneficial effects are that the method selects the optimal time-of-use electricity price and the optimal interruptible standby capacity on the basis of comprehensively measuring various interests, and makes the plan of power generation dispatching whose power generation cost is lowest, so as to bring material benefits for users, and power generation cost is optimized.

Description

A kind of power generation dispatching method taking into account the interaction of user side based on intelligent grid

Technical field

The present invention relates to intelligent grid power generation dispatching technical field, particularly relate to a kind of power generation dispatching method taking into account the interaction of user side based on intelligent grid.

Background technology

Intelligent grid is great scientific and technical innovation and the Transformation Tendency of 21 century electric system, is the study hotspot of current power industry.Intelligent grid is as novel Intelligent Service network, and its outstanding feature is by the information pattern creating open infosystem and share, and integration, dispatching requirement side resource, stress the two-way interaction with user profile and electric energy in particular neatly; Encourage user to change traditional power mode, play an active part in operation of power networks, according to Spot Price adjustment power mode; And then optimize power infrastructures operation and management, ensure the reliable and stable operation of power industry.The singularity of electric energy determines electrical network must by planning to ensure the reliability of system cloud gray model in advance.The progressively in-depth of the expansion of electric system scale, the continuous growth of electricity needs and power market reform and development, make electric system day by day run close to the limit.Traditional scheduling a few days ago realizes power balance by means of only Optimized Operation Generation Side resource, and this pattern can not meet the situation of current energy scarcity and power tense.In addition, along with the lifting of conservation culture and environmental consciousness, Utilities Electric Co. just actively seeks to be different from traditional mode to meet the equilibrium of supply and demand.Demand response (demand response, DR) be important interactive resources under intelligent grid framework, be the recent development of dsm at Competitive Electricity Market, promoted the interaction of Utilities Electric Co. and terminal user, improve elasticity of demand, simultaneously for user provides multiple choices.The development of demand response makes Demand-side resource become a kind of virtual resource gradually and participates in dispatching of power netwoks operation.

Current China electricity market is not yet perfect, and Spot Price lacks, and generally guides user's peak load shifting by Peak-valley TOU power price.Therefore be necessary to include user's response in power generation dispatching, and strengthen with the interaction of user side thus unify to optimize Generation Side and Demand-side resource.Pith as assistant service for subsequent use, plays an important role to the safe and reliable operation of electric system.Along with the continuous propelling that intelligent grid is built, demand response is progressively applied in the management and running such as subsequent use, assistant service.

Summary of the invention

The present invention overcomes above-mentioned weak point, and object is to provide a kind of power generation dispatching method taking into account the interaction of user side based on intelligent grid, first proposes customer charge curve, secondly considers the interruptible price coordination optimization for subsequent use with Generation Side for subsequent use; Finally comprehensively weigh benefits of different parties, choose the optimum tou power price and optimum interruptible price margin capacity that make cost of electricity-generating minimum, and formulate power generation dispatching scheme with this.Formulate the minimum power generation dispatching plans of cost of electricity-generating with this, bring material benefit to users, simultaneously cost of electricity-generating optimization.

The present invention achieves the above object by the following technical programs: a kind of power generation dispatching method taking into account the interaction of user side based on intelligent grid, comprises the steps:

(1) dispatching center draws customer charge curve based on the tou power price user response theory prediction of consumer psychology, issues basic electricity price information;

(2) based on basic electricity price information, different user declares interruptible price capacity and making up price by bidding fashion;

(3) dispatching center formulates power generation dispatching plan, and issues electricity price and interruptible price invocation scheme in conjunction with the result of declaring of user;

(4) user feedback dispatching center issue electricity price and interruptible price invocation scheme whether feasible;

(5) if user feedback is feasible, dispatching center issues final electricity price, interruptible price invocation scheme and electricity consumption operation plan; If be fed back to infeasible, the redirect of dispatching center's adjustment operation plan performs step (3).

As preferably, described customer charge curve reflection be the response in various degree that user exists different price; Customer charge curve is piecewise linear function number curve corresponding to the customer response model based on cool load translating ratio, and piecewise linear function is as follows:

${\mathrm{\λ}}_{\mathrm{pvj}}=\left\{\begin{array}{cc}0,& 0\≤\mathrm{\Δ}{p}_{\mathrm{pv}}\≤{\mathrm{\α}}_{\mathrm{pvj}}\\ K_{\mathrm{pvj}}(\mathrm{\Δ}{p}_{\mathrm{pvj}}-{\mathrm{\α}}_{\mathrm{pvj}}),& {\mathrm{\α}}_{\mathrm{pvj}}\≤\mathrm{\Δ}{p}_{\mathrm{pv}}\≤\frac{{\mathrm{\λ}}_{\mathrm{pvj}}^{\max }}{K_{\mathrm{pvj}}}+{\mathrm{\α}}_{\mathrm{pvj}}\\ {\mathrm{\λ}}_{\mathrm{pvj}}^{\max },& \mathrm{\Δ}{p}_{\mathrm{pv}}\≥\frac{{\mathrm{\λ}}_{\mathrm{pvj}}^{\max }}{K_{\mathrm{pvj}}}+{\mathrm{\α}}_{\mathrm{pvj}}\end{array}\right.$

Wherein, the j in formula is jth class user; λ _pvjfor the rate of transform of its peak period to paddy period; Δ p _pvfor peak period electricity price p _pwith paddy period electricity price p _vdifference; Point (α _pvj, 0) and be the dead band flex point of piecewise linearity peak interval of time rate of transform curve, α _pvjfor dead band threshold value; Point for the saturation region flex point of piecewise linearity peak interval of time rate of transform curve, for saturation region threshold value, for the peak load rate of transform of peak period to paddy period under the change of tou power price difference; K _pvjfor the slope in the curvilinear district of the j customer segment linear peak interval of time rate of transform.

As preferably, described tou power price is Peak-valley TOU power price.

As preferably, described cool load translating ratio is for after carrying out tou power price, and load is from high rate period to the ratio of the transfer amount of low rate period with high period electricity price load.

As preferably, described step (3) dispatching center is in conjunction with generator condition, load condition and solves the generating price cost that customer charge curve obtains, and comprehensively formulates power generation dispatching plan.

Beneficial effect of the present invention is: the present invention chooses optimum tou power price and optimum interruptible price margin capacity on the comprehensive basis weighing benefits of different parties, and formulate the minimum power generation dispatching plans of cost of electricity-generating with this, material benefit is brought, simultaneously cost of electricity-generating optimization to users.

Accompanying drawing explanation

Fig. 1 is the business circuit figure taking into account the interaction of user side in the present invention;

Fig. 2 is power generation dispatching planning model calculation flow chart in the present invention.

Embodiment

Below in conjunction with specific embodiment, the present invention is described further, but protection scope of the present invention is not limited in this:

Embodiment: as shown in Figure 1, a kind of power generation dispatching method taking into account the interaction of user side based on intelligent grid, comprises the steps:

(1) dispatching center draws customer charge curve based on the tou power price user response theory prediction of consumer psychology, issues basic electricity price information;

Described a kind of customer charge curve, there is response in various degree to different price in user; Cool load translating ratio for carrying out after tou power price, load from high rate period to low rate period transfer amount with the ratio of high period electricity price load.Cool load translating ratio and peak are put down, peak valley, electricity price difference between Pinggu are proportional.Based on cool load translating ratio customer response model can approximate fits become below shown in piecewise linear function:

${\mathrm{\λ}}_{\mathrm{pvj}}=\left\{\begin{array}{cc}0,& 0\≤\mathrm{\Δ}{p}_{\mathrm{pv}}\≤{\mathrm{\α}}_{\mathrm{pvj}}\\ K_{\mathrm{pvj}}(\mathrm{\Δ}{p}_{\mathrm{pvj}}-{\mathrm{\α}}_{\mathrm{pvj}}),& {\mathrm{\α}}_{\mathrm{pvj}}\≤\mathrm{\Δ}{p}_{\mathrm{pv}}\≤\frac{{\mathrm{\λ}}_{\mathrm{pvj}}^{\max }}{K_{\mathrm{pvj}}}+{\mathrm{\α}}_{\mathrm{pvj}}\\ {\mathrm{\λ}}_{\mathrm{pvj}}^{\max },& \mathrm{\Δ}{p}_{\mathrm{pv}}\≥\frac{{\mathrm{\λ}}_{\mathrm{pvj}}^{\max }}{K_{\mathrm{pvj}}}+{\mathrm{\α}}_{\mathrm{pvj}}\end{array}\right.$

In formula: j is jth class user; λ _pvjfor the rate of transform of its peak period to paddy period; Δ p _pvfor peak period electricity price p _pwith paddy period electricity price p _vdifference; Point (α _pvj, 0) and be the dead band flex point of piecewise linearity peak interval of time rate of transform curve, α _pvjfor dead band threshold value; Point for the saturation region flex point of piecewise linearity peak interval of time rate of transform curve, for saturation region threshold value, for the peak load rate of transform of peak period to paddy period under the change of tou power price difference; K _pvjfor the slope in the curvilinear district of the j customer segment linear peak interval of time rate of transform.

Described function can draw out the piecewise linear peak period to the load transfer plan rate curve of section at ordinary times and at ordinary times section to the load transfer plan rate curve of paddy period, and corresponding piecewise linear model can be set up.Implement after tou power price, customer charge can occur that corresponding peak is flat, peak valley and Pinggu transfer, the cool load translating ratio supposition of corresponding different tou power price meets above-mentioned response curve, then the matching load of day part can be expressed as:

$L_t=\left\{\begin{array}{c}{L}_{t0}+{\mathrm{\λ}}_{\mathrm{pv}}{\stackrel{\‾}{L}}_p+{\mathrm{\λ}}_{\mathrm{fv}}{\stackrel{\‾}{:L}}_f,t\∈T_v\\ L_{t0}+{\mathrm{\λ}}_{\mathrm{pf}}{\stackrel{\‾}{L}}_p-{\mathrm{\λ}}_{\mathrm{fv}}{\stackrel{\‾}{L}}_f,t\∈T_f\\ L_{t0}-{\mathrm{\λ}}_{\mathrm{pv}}{\stackrel{\‾}{L}}_p-{\mathrm{\λ}}_{\mathrm{pf}}{\stackrel{\‾}{L}}_p,t\∈T_p\end{array}\right.$

In formula: λ _pv, λ _pf, λ _fvbe respectively the cool load translating ratio of peak period to paddy period, peak period to cool load translating ratio, the at ordinary times section of section at ordinary times to the cool load translating ratio of paddy period; T _p, T _f, T _vbe respectively peak period, at ordinary times section, paddy period, t is any time period wherein; L _t0, L _tbe respectively TOU to implement the actual measurement load of front t period, implement the matching load of rear t period be respectively and implement leading peak, the at ordinary times mean value of section total load within the corresponding period.

(2) based on basic electricity price information, different user declares interruptible price capacity and making up price by bidding fashion;

The coordination optimization that described interruptible price is for subsequent use and Generation Side is for subsequent use, under the pattern taking into account the interaction of user side, different user declares interruptible price capacity and making up price by bidding fashion, then interruptible price stand-by cost can be expressed as the curve that ladder rises, and dispatching center can determine interruptible price participating user and Optimal Reserve Capacity by the calculating of optimal power generation scheduling scheme; Here adopt the mode of electricity price discount, be not namely interrupted this departmental cost at contractual spectifications scope internal loading and also can not reduce.

(3) dispatching center is in conjunction with generator condition, load condition and solve the generating price cost that customer charge curve obtains, and comprehensively formulates power generation dispatching plan, and issues electricity price and interruptible price invocation scheme in conjunction with the result of declaring of user;

Tou power price will directly determine the effect of peak load shifting as control variable and then affect cost of electricity-generating in embodiments of the present invention, calculated by the optimization of minimum cost of electricity-generating and determine the optimum tou power price adapting to this model, but to consider that the implementation of tou power price may bring business risk to power supply simultaneously, in order to ensure that the optional electricity price in optimizing meets the formulating rules of tou power price, with reference to the formulating method of time-of-use tariffs, peak valley is pulled open and introduces in this method than Δ.

Peak-valley TOU power price is generally realize on the basis that average electricity price carries out suitably adjustment, namely generally average electricity price is set to section electricity price p at ordinary times _f, fluctuate on its basis and draw peak period electricity price p _pwith paddy period electricity price p _v.

$\left\{\begin{array}{c}{p}_p=p_f(1+\mathrm{\μ})\\ p_v=p_f(1-\mathrm{\ω})\end{array}\right.$

In formula, μ and ω is respectively floating and ratio of floating downward.Pull open than Δ=μ/ω, tou power price is than γ=(1+ μ)/(1-ω).Consider the setting principle of tou power price simultaneously, consider the interests of supplier of electricity and user, pull open and need meet the following conditions than Δ:

W ₃/W ₁≤Δ≤1

In formula: W ₃for paddy period total electricity consumption; W ₁for peak period total electricity consumption.Due to the difference of industry and regional load characteristic, current Peak-valley TOU power price concentrates between 1.96:1 and 5:1 than γ.The tou power price ratio that correspondence is determined, changes and pulls open than obtaining multiple electricity price scheme, and then can try to achieve the best electric price scheme making cost of electricity-generating minimum.

The stand-by cost computing method of interruptible load are as follows:

Buy the cost of jth user's interruptible price capacity: C ' _iLLj=C _iLLjq _iLLj, wherein: C _iLLjfor the electricity price discount for user j specified in contract; Q _iLLjfor the reduction of contracted user j.

Buy the cost of jth user's interruptible price electricity: wherein: for the unit reduction plans cost of user j specified in contract; for the load summate amount of the t of user j; state is called for interruptible load, represent that interruptible load is called, represent and be not called.

The objective function taking into account the power generation dispatching planning model of user side interaction is:

$\mathrm{MinF}(P_i^t,U_i^t,C_{\mathrm{ILj}}^t)=\mathrm{Min}\underset{t=1}{\overset{T}{\mathrm{\Σ}}}\left\{\underset{i=1}{\overset{N}{\mathrm{\Σ}}}\right[f\left(P_i^t\right)+C_{i,t}(1-U_i^{t-1})]U_i^t+\underset{j=1}{\overset{N_{\mathrm{IL}}}{\mathrm{\Σ}}}{C}_{\mathrm{ILLj}}^{\′}\}$

In formula: the time hop count during T is system call; N is the total unit number of system; N _iLfor participating in the number of users of interruptible load; for unit i is in the operating cost of t, for unit i exerts oneself at the meritorious of t; C _i,tfor unit i uses in the payment for initiation of t; for unit i is in the state of t, represent and shut down, represent start; C ' _iLLjfor the Capacity Cost that the interruptible load of a jth user is for subsequent use.

Constraint condition comprises system constraints and Unit commitment condition.

1) system constraints.

1. power-balance constraint:

$\underset{i=1}{\overset{N}{\mathrm{\Σ}}}{P}_i^t=L_{\mathrm{IL}}$

In formula: L _iLfor the total load of t period, wherein, L _tfor user responds the total load of t period after tou power price; the load summate amount of t when calling for interruptible load is for subsequent use.

2. system reserve constraint:

$\underset{i=1}{\overset{N}{\mathrm{\Σ}}}{\stackrel{\‾}{P}}_i{U}_i^t+\underset{j=1}{\overset{N_{\mathrm{IL}}}{\mathrm{\Σ}}}{I}_j^t{Q}_{\mathrm{ILj}}^t\≥L_t+R^t$

In formula: R ^tfor the standby requirement of t load; for the maximum output of unit i.

2) Unit commitment condition.

1. generated output power bound constraint:

${\tilde{P}}_i{U}_i^t\≤P_i^t\≤{\stackrel{\‾}{P}}_i{U}_i^t,i=\mathrm{1,2,3},\·\·\·,N$

In formula be respectively unit i output power bound.

2. minimum start-off time constraints:

$\left\{\begin{array}{c}(U_i^{t-1}-U_i^t)(T_i^{t-1}-T_i^{\mathrm{on}})\≥0\\ (U_i^t-U_i^{t-1})(-T_i^{t-1}-T_i^{\mathrm{off}})\≥0\end{array}\right.$

In formula: for unit i is at the total duration of period t-1; with be respectively the minimum working time of unit i and minimum stop time.

3. Unit Ramp Rate constraint:

$\left\{\begin{array}{c}{P}_i^t{U}_i^t-P_i^t{U}_i^t\≤U_{p-\mathrm{rampi}}\\ P_i^{t-1}{U}_i^{t-1}-P_i^t{U}_i^t\≤D_{\mathrm{own}-\mathrm{rampi}}\end{array}\right.$

In formula: for unit i exerting oneself at moment t-1; U _p-rampifor the upper climbing rate limit of unit i; D _own-rampifor the lower creep speed restriction of unit i.

Particularly, model solution method as shown in Figure 2, wherein, Q _iLfor interruptible price margin capacity; C _rILand C _rGbe respectively interruptible price stand-by cost and generator stand-by cost.First determine initial electricity price according to actual load feature and pull open ratio, calculate alternative electricity price, choose the electricity price met the demands, and the interruptible load capacity offer curve declared by user under this electricity price calculates cost of electricity-generating under different interruptible price margin capacity, contrast the cost of electricity-generating under the different interruptible price margin capacity of different electricity price, be chosen for the scheme of solving.Specific algorithm is that ratio is pulled open in stepping on the basis of basic electricity price, travel through optional time-of-use tariffs scheme, corresponding each electricity price scheme, declare the stepped interruptible price compensated curve of formation by user, travel through interruptible price scheme to be selected by particular step size, find out the optimum solution meeting constraint condition.Choose suitable step-length according to the feature of different regions user, just can meet the requirement of precision and speed.

According to above-mentioned two customer charge curvilinear functions, solve the load curve under different electricity price, and then determine that generator output calculates cost of electricity-generating; By user, by the impact of Demand-side, power generation dispatching plan is incorporated to the response of price change.

(4) user feedback dispatching center issue electricity price and interruptible price invocation scheme whether feasible;

(5) if user feedback is feasible, dispatching center issues final electricity price, interruptible price invocation scheme and electricity consumption operation plan; If be fed back to infeasible, the redirect of dispatching center's adjustment operation plan performs step (3)

The know-why being specific embodiments of the invention and using described in above, if the change done according to conception of the present invention, its function produced do not exceed that instructions and accompanying drawing contain yet spiritual time, must protection scope of the present invention be belonged to.

Claims (5)

1., based on the power generation dispatching method taking into account the interaction of user side of intelligent grid, it is characterized in that comprising the steps:

(1) dispatching center draws customer charge curve based on the tou power price user response theory prediction of consumer psychology, issues basic electricity price information;

(2) based on basic electricity price information, different user declares interruptible price capacity and making up price by bidding fashion;

(3) dispatching center formulates power generation dispatching plan, and issues electricity price and interruptible price invocation scheme in conjunction with the result of declaring of user;

(4) user feedback dispatching center issue electricity price and interruptible price invocation scheme whether feasible;

(5) if user feedback is feasible, dispatching center issues final electricity price, interruptible price invocation scheme and electricity consumption operation plan; If be fed back to infeasible, the redirect of dispatching center's adjustment operation plan performs step (3).

2. a kind of power generation dispatching method taking into account the interaction of user side based on intelligent grid according to claim 1, is characterized in that: what described customer charge curve reflected is the response in various degree that user exists different price; Customer charge curve is piecewise linear function number curve corresponding to the customer response model based on cool load translating ratio, and piecewise linear function is as follows:

${\mathrm{\λ}}_{\mathrm{pvj}}=\left\{\begin{array}{cc}0,& 0\≤{\mathrm{\Δp}}_{\mathrm{pv}}\≤{\mathrm{\α}}_{\mathrm{pvj}}\\ K_{\mathrm{pvj}}({\mathrm{\Δp}}_{\mathrm{pvj}}-{\mathrm{\α}}_{\mathrm{pvj}}),& {\mathrm{\α}}_{\mathrm{pvj}}\≤{\mathrm{\Δp}}_{\mathrm{pv}}\≤\frac{{\mathrm{\λ}}_{\mathrm{pvj}}^{\max }}{K_{\mathrm{pvj}}}+{\mathrm{\α}}_{\mathrm{pvj}}\\ {\mathrm{\λ}}_{\mathrm{pvj}}^{\max },& {\mathrm{\Δp}}_{\mathrm{pv}}\≥\frac{{\mathrm{\λ}}_{\mathrm{pvj}}^{\max }}{K_{\mathrm{pvj}}}+{\mathrm{\α}}_{\mathrm{pvj}}\end{array}\right.$

Wherein, the j in formula is jth class user; λ _pvjfor the rate of transform of its peak period to paddy period; Δ p _pvfor peak period electricity price p _pwith paddy period electricity price p _vdifference; Point (α _pvj, 0) and be the dead band flex point of piecewise linearity peak interval of time rate of transform curve, α _pvjfor dead band threshold value; Point for the saturation region flex point of piecewise linearity peak interval of time rate of transform curve, for saturation region threshold value, for the peak load rate of transform of peak period to paddy period under the change of tou power price difference; K _pvjfor the slope in the curvilinear district of the j customer segment linear peak interval of time rate of transform.

3. a kind of power generation dispatching method taking into account the interaction of user side based on intelligent grid according to claim 1, is characterized in that: described tou power price is Peak-valley TOU power price.

4. a kind of power generation dispatching method taking into account the interaction of user side based on intelligent grid according to claim 2, it is characterized in that: described cool load translating ratio is for carrying out after tou power price, and load is from high rate period to the ratio of the transfer amount of low rate period with high period electricity price load.

5. a kind of power generation dispatching method taking into account the interaction of user side based on intelligent grid according to claim 1, it is characterized in that: described step (3) dispatching center is in conjunction with generator condition, load condition and solves the generating price cost that customer charge curve obtains, comprehensively formulate power generation dispatching plan.