CN102289566A - Multiple-time-scale optimized energy dispatching method for micro power grid under independent operation mode - Google Patents

Abstract

The invention discloses a multiple-time-scale optimized energy dispatching method for a micro power grid under an independent operation mode. The multiple-time-scale optimized energy dispatching method comprises the steps of: dividing economic operation of the micro power grid into a day-ahead planning stage and a real-time dispatching stage; in the day-ahead planning stage, dividing one dispatching period into 24 time intervals, and establishing a day-ahead machine-set start/stop optimized planning model based on day-ahead prediction data; and in the real-time dispatching stage, monitoring energy states of an energy storage unit in real time based on real-time ultrashort-term prediction data by following a day-ahead planed machine-set start/stop result, and determining active power dispatching instructions, unloading power instructions and load shedding instructions of various controllable micro power sources by adopting different energy optimizations according to net load magnitudes and different energy state intervals in which the energy storage unit is in. The multiple-time-scale optimized energy dispatching method disclosed by the invention is suitable for the optimized energy dispatching of the micro power grid under the independent operation mode, can be used for increasing the economy and the reliability of the operation of the micro power grid and ensuring the energy states of energy storage equipment to be in a safe working range, and is beneficial to prolonging of the service life of the energy storage unit.

Description

The energy-optimised dispatching method of little yardstick of many time of electrical network under the independent operation mode

Technical field

The present invention relates to little Electric Power Network Planning, operation, scheduling field, relate in particular to the energy-optimised dispatching method of little yardstick of many time of electrical network under a kind of independent operation mode.

Background technology

Under the dual-pressure of energy demand and environmental protection; with photovoltaic and wind-power electricity generation is that distributed power generation (DG) technology of representative has obtained increasing attention and application; above-mentioned DG system inserts power distribution network usually and realizes being incorporated into the power networks; on-position and operation strategy are freely determined by the user mostly, and are in the free state of disperseing not have contact between each DG.Along with the increase of renewable energy system, the DG system increases a few days ago, and this operational mode injustice constitutes a threat to the security of original electrical network, nor must be in the raising of whole comprehensive utilization of energy efficient.

The proposition of little electrical network notion provides a new pattern for the DG operation; little electrical network is meant by distributed power source, energy storage device, energy converter, relevant load and supervisory system, protective device and compiles the small-sized electric system of being transported to that forms; both can be incorporated into the power networks with external electrical network, also can independent operating.Generally, little electrical network is with the networking mode operation, with dirigibility and the reliability that strengthens little operation of power networks.The self-government operation yet little in some cases electrical network is but had to, such as, little electrical network disconnects and independent operating with big electrical network during big electric network fault, and the areas that the power grid construction difficulty is big, equipment investment cost is high such as remote isolated island, pasture, frontier defense are because no big electrical network exists little electrical network self-government to move.

Renewable energy power generation occupies certain ratio in little electrical network, as photovoltaic cell, aerogenerator etc., they are relatively more responsive to the variation of natural environment and climate, illumination resource and wind-resources that its generating is relied on have the random fluctuation characteristic, make that exerting oneself of they is unsettled, especially when weather generation drastic change, their the bigger change of generation thereupon of exerting oneself.During independent operating, owing to there is not the support of big electrical network, the random fluctuation for the balance renewable energy power generation improves the quality of power supply, keeps system stability, generally can be equipped with the energy storage device of a constant volume.Lead-acid accumulator because of its comparatively cheap price, can satisfy power density demand and response speed demand when being applied to little electrical network, be considered to only energy storage device.

At present, the research of relevant little economy operation of power grid aspect mainly concentrates on the research under the pattern of being incorporated into the power networks, and the little economy operation of power grid research under independent operation mode seldom, still do not have at present to generally acknowledge ripe solution; Existing a spot of research just concentrates on the real-time economical operation Optimization Dispatching of microgrid, has ignored the influence of big time scale planning (as a few days ago) to system's performance driving economy; Simultaneously, existing a small amount of research also all is to the modeling that unitizes of the little electrical network of independent operating, and do not consider that the little electrical network of independent operating can cause the frequent change of energy-storage units energy state when the fluctuating power of exert oneself undulatory property and the load that absorb the generating of the batch (-type) energy by its inner voltage-frequency control module, even exceed its safe energy state scope, so that reduction energy-storage units serviceable life, increase little operation of power networks maintenance cost; In addition, existing a small amount of research do not consider yet batch (-type) energy generating superfluous with extreme case such as overload, and in the little electrical network of reality, have to consider the various ruuning situations of little electrical network, to guarantee little power grid security, reliably to reach economical operation.

Summary of the invention

At the deficiencies in the prior art, the object of the present invention is to provide the energy-optimised dispatching method of little yardstick of many time of electrical network under a kind of independent operation mode.

The objective of the invention is to be achieved through the following technical solutions, it comprises the steps::

1) add up little operation of power networks historical data, set up the nonlinear function of the cost-power curve of the little power supply of all controllable types in little electrical network, and with its piece-wise linearization;

2) gather little network load information data, weather information data, the historical data of comprehensive little operation of power networks is carried out following one day prediction to load/wind energy/sun power, obtains the load/wind energy/sun power predicted data of little electrical network in following a day;

3) the following intraday economical operation of little electrical network is divided into 24 periods, with little electrical network 24 hour operation cost minimum is objective function, wherein the little power supply of all controllable types uses modified linearized model, consider the day part energy equilibrium of little electrical network inside, the restriction of exerting oneself of each equipment component/climbing rate restriction/startup-shutdown cost, based on step 2) in the day preload/wind energy/sun power predicted data, the mathematical model that this little electrical network plan problem is a few days ago constituted a MILP (Mixed Integer Linear Programming) problem is found the solution, and plans are optimized in the unit start and stop a few days ago that obtain the little power supply of day part controllable type;

4) in little real-time power network operational process, with per 15 minutes was a dispatching cycle, soon per hour be divided into 4 scheduling slots, whole day is divided into nT=24*4=96 scheduling slot, constantly monitor the energy state SOS of energy-storage units in each scheduling, gather little network load information data, weather information data with, load/wind energy/sun power is carried out ultrashort phase prediction, obtain the load/wind energy/sun power predicted data of little electrical network in this scheduling slot;

5) optimize plans according to the unit start and stop a few days ago of step 3) and obtain the little power supply set of controllable type that the current period is in open state, determine to be in the bound of basic point operate power of the little power supply of each controllable type of open state Load/wind energy/sun power the predicted data of little electrical network is determined the net load watt level in this scheduling slot that obtains according to step 4);

6) the energy state different conditions of living in interval of this scheduling slot energy-storage units that monitors according to step 4), and the definite different net load watt levels of step 5), for the little electrical network under the independent operation mode is formulated different energy-optimised strategies, and set up corresponding energy-optimised model, obtain little economy operation of power grid scheduling scheme of this period by model solution;

7) the little economy operation of power grid scheduling scheme that is obtained by step 6) forms little dispatching of power netwoks instruction, be distributed to the controller of the little power supply of controllable type, the little power supply of renewable energy power generation, relief arrangement and load in little electrical network, make little electrical network next period according to the specific mode safety and economic operation;

8) in next scheduling constantly, judge whether to reach nT period, if not, then repeating step 4), if then repeating step 2).

Compare with background technology, the beneficial effect that the present invention has is:

(1) traditional independent operating microgrid energy Optimization Dispatching is not planned for a long time, the inventive method is divided into plan and two stages of Real-Time Scheduling a few days ago with the economical operation of little electrical network, the plan a few days ago of long time scale can be guaranteed the macroeconomic of little operation of power networks, the Real-Time Scheduling of short time yardstick has been considered the real time execution situation of little operation of power networks, can take into account the security and the economy of little operation of power networks.

(2) traditional independent operating microgrid energy Optimization Dispatching all is that little electrical network is set up unitized economic model, it has considered the most cases of little operation of power networks, and do not consider the minority extreme case of little operation of power networks, the inventive method is divided into a plurality of intervals with the energy state of energy-storage units, residing different energy storage states are taked different energy-optimised strategies with net load state when moving according to little real-time power network, consider the possible situation of institute of little operation of power networks, improved the security of little operation of power networks and the serviceable life of energy-storage units.

(3) excision of having introduced demand side load responding and excess energy in the energy-optimised model that relates to is controlled, and guarantees the security and stability of little operation of power networks.The inventive method is divided into a plurality of intervals with the energy state of energy-storage units, generally energy-storage units is not discharged and recharged power dispatching, promptly specifying its power operation basic point is 0, receive the interior imbalance power of little electrical network and just be used as the voltage-frequency control module, reduced the demand of little electrical network to the energy-storage units capacity, improved the cost of investment and the maintenance cost of little electrical network, done economy high.

Description of drawings

Fig. 1 is the energy-optimised dispatching method process flow diagram of little yardstick of many time of electrical network under the independent operation mode.

Fig. 2 is the energy-optimised scheduling flow figure of the little real-time power network a under the independent operation mode.

Fig. 3 is the energy-optimised scheduling flow figure of the little real-time power network b under the independent operation mode.

Fig. 4 is the energy-optimised scheduling flow figure of the little real-time power network c under the independent operation mode.

Fig. 5 is the little electric network composition figure of embodiment.

Fig. 6 is the little power supply cost of controllable type-power curve piece-wise linearization synoptic diagram.

Fig. 7 is that plan is optimized in the little power supply of the controllable type start and stop of a few days ago planning to obtain a few days ago.

Fig. 8 is the little operation of power networks result who adopts the present invention to obtain.

Embodiment

The present invention is further illustrated below in conjunction with drawings and Examples.

As shown in Figure 1, the energy-optimised dispatching method of little yardstick of many time of electrical network under a kind of independent operation mode of the present invention comprises the steps:

1) add up little operation of power networks historical data, set up the nonlinear function of the cost-power curve of the little power supply of all controllable types in little electrical network, and with its piece-wise linearization;

2) gather little network load information data, weather information data, the historical data of comprehensive little operation of power networks is carried out following one day prediction to load/wind energy/sun power, obtains the load/wind energy/sun power predicted data of little electrical network in following a day;

3) the following intraday economical operation of little electrical network is divided into 24 periods; with little electrical network 24 hour operation cost minimum is objective function; wherein the little power supply of all controllable types uses modified linearized model; consider the day part energy equilibrium of little electrical network inside; the restriction of exerting oneself of each equipment component/climbing rate restriction/startup-shutdown cost; based on step 2) in the day preload/wind energy/sun power predicted data; the mathematical model that this little electrical network plan problem is a few days ago constituted a MILP (Mixed Integer Linear Programming) problem is found the solution; plans are optimized in the unit start and stop a few days ago that obtain the little power supply of day part controllable type

The mathematical model of above-mentioned MILP (Mixed Integer Linear Programming) problem model is:

min?f(x，u)

$s.t\left\{\begin{array}{cc}\begin{array}{c}h(x,u)=0\\ \underset{\‾}{g}\≤g(x,u)\≤\stackrel{\‾}{g}\end{array}& x\∈R,u\∈\left\{\mathrm{0,1}\right\}\end{array}\right.$

Wherein:

Optimization variable x, u is defined as:

$x=\left\{\begin{array}{cc}\begin{array}{c}{P}_{\mathrm{Gi}}^t,D_{\mathrm{Gi}}^{t,k}\\ \mathrm{\Δ}{P}_{\mathrm{no}+}^t,{\mathrm{\ΔP}}_{\mathrm{no}-}^t\end{array}& i\∈S_G,t\∈S_T\end{array}\right.$

$u=u_{\mathrm{Gi}}^t,u_{\mathrm{Gi}*}^t,v_{\mathrm{Gi}}^{t,k},i\∈S_G,t\∈S_T$

Objective function f (x u) is defined as:

$f(x,u)=\underset{t\&Element;S_T}{\mathrm{\&Sigma;}}(\underset{i\&Element;S_G}{\mathrm{\&Sigma;}}(u_{\mathrm{Gi}}^t{A}_{\mathrm{<figure-callout\; id="1"\; label="Gi"\; filenames="20111019147451000031.png"\; state="\{\{state\}\}">Gi</figure-callout>}}^1+\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}\left(F_{\mathrm{Gi}}^k{D}_{\mathrm{Gi}}^{t,k}\right)+K_{\mathrm{OMi}}{P}_{\mathrm{Gi}}^t+S_{\mathrm{Gi}}^{\mathrm{on}}{u}_{\mathrm{Gi}*}^t)+\mathrm{\&sigma;}({\mathrm{\&Delta;P}}_{\mathrm{no}+}^t+{\mathrm{\&Delta;P}}_{\mathrm{no}-}^t))$

Equality constraint h (x u) comprising:

(1). the power-balance constraint:

$\underset{i\&Element;S_G}{\mathrm{\&Sigma;}}{P}_{\mathrm{Gi}}^t+\underset{i\&Element;S_I}{\mathrm{\&Sigma;}}{P}_{\mathrm{Ii}}^t+{\mathrm{\&Delta;P}}_{\mathrm{no}+}^t-{\mathrm{\&Delta;P}}_{\mathrm{no}-}^t=\underset{i\&Element;S_L}{\mathrm{\&Sigma;}}{P}_{\mathrm{Li}}^t,t\&Element;S_T$

(2). the definition of exerting oneself of the little power supply of controllable type:

$P_{\mathrm{Gi}}^t=u_{\mathrm{Gi}}^{\mathrm{<figure-callout\; id="1"\; label="t\; B\; Gi"\; filenames="20111019147451000031.png"\; state="\{\{state\}\}">t</figure-callout>}}{B}_{\mathrm{Gi}}^{}{}_1^{}+\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{D}_{\mathrm{Gi}}^{t,k},i\&Element;S_G,t\&Element;S_T$

(3). the little power supply partition running ownership of controllable type marker bit mutual exclusion condition:

$\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,k}=u_{\mathrm{Gi}}^t,i\&Element;S_G,t\&Element;S_T$

(4). the equality constraint in the minimum startup-shutdown time-constrain of the little power supply of controllable type

$\underset{t=1}{\overset{G_i^{\mathrm{on}}}{\mathrm{\&Sigma;}}}(1-u_{\mathrm{Gi}}^t)=0$ $G_i^{\mathrm{on}}=\min \{N_T,(\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{on}}}-T_{\mathrm{Gi}}^{\mathrm{on}})u_{\mathrm{Gi}}^0\}$

$\underset{t=1}{\overset{G_i^{\mathrm{off}}}{\mathrm{\&Sigma;}}}{u}_{\mathrm{Gi}}^t=0$ $G_i^{\mathrm{off}}=\min \{N_T,(\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{off}}}-T_{\mathrm{Gi}}^{\mathrm{off}})(1-u_{\mathrm{Gi}}^0)\}$

Inequality constrain g (x u) comprising:

(1). the little power supply segmentation of the controllable type value defined of exerting oneself

$\underset{j=k+1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,j}\&le;\frac{D_{\mathrm{Gi}}^{t,k}}{B_{\mathrm{Gi}}^{k+1}-B_{\mathrm{Gi}}^k}\&le;\underset{j=k}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,j},i\&Element;S_G,t\&Element;S_T,k=1...L_{\mathrm{Gi}}$

(2). begin the to start shooting marker bit definition of the little power supply of controllable type

$u_{\mathrm{Gi}*}^t\&GreaterEqual;u_{\mathrm{Gi}}^t-u_{\mathrm{Gi}}^{t-1},i\&Element;S_G,t\&Element;S_T$

(3). the constraint of the little power supply climbing of controllable type rate

$\left\{\begin{array}{cc}\begin{array}{c}{P}_{\mathrm{Gi}}^t-P_{\mathrm{Gi}}^{t-1}\&le;\mathrm{\&Delta;T}\stackrel{\&OverBar;}{{\mathrm{\&Delta;P}}_{\mathrm{Gi}}}\\ P_{\mathrm{Gi}}^{t-1}-P_{\mathrm{Gi}}^t\&le;\mathrm{\&Delta;T}\underset{\&OverBar;}{\mathrm{\&Delta;}{P}_{\mathrm{Gi}}}\end{array}& i\&Element;S_G,t\&Element;S_T\end{array}\right.$

(4). the minimum startup-shutdown time-constrain of the little power supply of controllable type

$\left\{\begin{array}{cc}\begin{array}{cc}\underset{t=k}{\overset{k+\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{on}}}-1}{\mathrm{\&Sigma;}}}{u}_{\mathrm{Gi}}^t\&GreaterEqual;\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{on}}}(u_{\mathrm{Gi}}^k-u_{\mathrm{Gi}}^{k-1})& k\&Element;[G_i^{\mathrm{on}}+1,N_T-\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{on}}}+1]\\ \underset{t=k}{\overset{N_T}{\mathrm{\&Sigma;}}}\left(u_{\mathrm{Gi}}^t(u_{\mathrm{Gi}}^k-u_{\mathrm{Gi}}^{k-1})\right)\&GreaterEqual;0& k\&Element;[N_T-\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{on}}}+2,N_T\end{array}& i\&Element;S_G\end{array}\right.$

$\left\{\begin{array}{cc}\begin{array}{cc}\underset{t=k}{\overset{k+\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{off}}}-1}{\mathrm{\&Sigma;}}}(1-u_{\mathrm{Gi}}^t)\&GreaterEqual;\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{off}}}(u_{\mathrm{Gi}}^{k-1}-u_{\mathrm{Gi}}^k)& k\&Element;[G_i^{\mathrm{off}}+1,N_T-\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{off}}}+1]\\ \underset{t=k}{\overset{N_T}{\mathrm{\&Sigma;}}}(1-u_{\mathrm{Gi}}^t-(u_{\mathrm{Gi}}^{k-1}-u_{\mathrm{Gi}}^k))\&GreaterEqual;0& k\&Element;[N_T-\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{off}}}+2,N_T\end{array}& i\&Element;S_G\end{array}\right.$

(5). the maximum startup-shutdown number of times constraint of the little power supply of controllable type

$\underset{t\&Element;S_T}{\mathrm{\&Sigma;}}{u}_{\mathrm{Gi}*}^t\&le;N_{\mathrm{on}}^{\max },i\&Element;S_G$

(6). participate in the little power supply or the constraint of energy-storage units running status of voltage-frequency control

$\underset{i\&Element;S_{\mathrm{Vf}}}{\mathrm{\&Sigma;}}{u}_{\mathrm{Gi}}^t\&GreaterEqual;1$

Wherein, each symbol definition is as follows: S _TBe period set, S _GBe the little power supply set of controllable type; S _IBe the little power supply set of uncontrollable type, S _LBe internal load set, S _VfFor the little power supply or the energy-storage units that participate in voltage-frequency control are gathered, (x u) is objective function, N to f _TWhen total hop count,

For the little power supply cost curve of controllable type parameter, For the little power supply sectional curve of controllable type home state,

Be the little power supply sectional curve of controllable type value state, L _GiFor the little power supply cost curve of controllable type segments,

Be the little power supply start of controllable type cost, K _OMiFor the little power supply operation expense of controllable type,

Δ P _GiFor the little power supply of controllable type exert oneself the rate of change boundary,

For the little power supply of controllable type the shortest continuous operation/idle time,

For the little power supply initial time of controllable type continuously operation/idle time,

For the maximum switching on and shutting down number of times of the little power supply of controllable type,

Exert oneself for the little power supply of controllable type is meritorious,

For the little power work state of controllable type (0 close 1 opens),

For the little power supply of controllable type begin to start shooting marker bit,

For the little power supply of uncontrollable type exert oneself,

For load power,

Be the difference between total generated output of system and the total load power

Be the difference between system's total load power and the total generated output

Wherein, inequality constrain g (x, u) (6) in. participate in the little power supply or the constraint of energy-storage units running status of voltage-frequency control, its voltage-frequency control is meant, little electrical network is when independent operating, must there be at least one little power supply or energy-storage units to participate in voltage-frequency control, think that little electrical network provides stable voltage and frequency, if a plurality of little power supplys or energy-storage units participate in voltage-frequency control simultaneously, then they will share power swing in little electrical network by sagging control, wherein, energy-storage units participates in voltage-frequency control all the time, the little power supply of part controllable type also can participate in voltage-frequency control, and the little power supply of all the other controllable types is meritorious surely idle control, i.e. PQ control;

4) in little real-time power network operational process, with per 15 minutes was a dispatching cycle, soon per hour be divided into 4 scheduling slots, whole day is divided into nT=24*4=96 scheduling slot, constantly monitor the energy state SOS of energy-storage units in each scheduling, gather little network load information data, weather information data with, load/wind energy/sun power is carried out the ultrashort phase predicts, obtain the load/wind energy/sun power predicted data of little electrical network in this scheduling slot

Wherein, the energy state SOS of energy-storage units is the technical parameter that its residue stored energy of reflection accounts for its total volume ratio, is defined as:

$\mathrm{SOS}=\frac{C_{\mathrm{net}}}{C}=1-\frac{3.6\&times;{10}^{-6}\&times;\&Integral;\mathrm{Pdt}}{C}$

In the formula: C _Net-energy-storage units residue stored energy, kWh;

C-energy-storage units total volume, kWh;

The discharge power of P-unit, W.

5) according to the 3rd) the unit start and stop a few days ago in step optimize plans and obtain the little power supply set of controllable type that the current period is in open state, determine to be in the bound of basic point operate power of the little power supply of each controllable type of open state

According to the 4th) load/wind energy/sun power predicted data of little electrical network is determined the net load watt level in this scheduling slot of obtaining of step,

Be in the bound of basic point operate power of the little power supply of each controllable type of open state

Determine undertaken by following 3 steps:

A) determine that rise or downward modulation margin of power that this participates in the unit of voltage-frequency control and need provide altogether period are:

${\mathrm{\&Delta;P}}_{\mathrm{\&Sigma;}}^t=e_I\&CenterDot;\underset{i\&Element;S_I}{\mathrm{\&Sigma;}}{P}_{\mathrm{Ii}}^t+e_L\&CenterDot;\underset{i\&Element;S_L}{\mathrm{\&Sigma;}}{P}_{\mathrm{Li}}^t$

Rise or downward modulation margin of power that the unit of-participation voltage-frequency control in this scheduling slot need provide altogether;

e _IThe exert oneself maximum error of power prediction of-uncontrollable little power supply;

e _LThe maximum error of-load power prediction;

The little power supply of-uncontrollable type is exerted oneself;

-load power;

B) determine to be in rise or the downward modulation margin of power that each voltage-frequency control module of open state need provide:

${\mathrm{\&Delta;P}}_{\mathrm{Gi}}^t={\mathrm{\&Delta;P}}_{\mathrm{\&Sigma;}}^t\&CenterDot;\frac{\stackrel{\&OverBar;}{P_{\mathrm{Gi}}}}{\stackrel{\&OverBar;}{P_s}+\underset{i\&Element;S_{\mathrm{GVf}}^t}{\mathrm{\&Sigma;}}\stackrel{\&OverBar;}{P_{\mathrm{Gi}}}}$

Rise that the little power supply of controllable type that the constantly interior i platform of-this scheduling is in open state need provide or downward modulation margin of power;

Rise or downward modulation margin of power that the unit of-participation voltage-frequency control in this scheduling slot need provide altogether;

-Di i platform is in the peak power output of the little power supply of controllable type of open state;

The peak power output of-energy-storage units;

-in the little power supply set of the controllable type of the participation voltage-frequency control that is in open state constantly;

C) determine to be in the bound of basic point operate power of the little power supply of each controllable type of open state

For participating in the little power supply of controllable type that voltage-frequency is controlled:

$\left\{\begin{array}{c}{P}_{\mathrm{Gi}}^{\min }=\underset{\&OverBar;}{P_{\mathrm{Gi}}}+{\mathrm{\&Delta;P}}_{\mathrm{Gi}}^t\\ P_{\mathrm{Gi}}^{\max }=\stackrel{\&OverBar;}{P_{\mathrm{Gi}}}-{\mathrm{\&Delta;P}}_{\mathrm{Gi}}^t\end{array}\right.$

For not participating in the little power supply of controllable type that voltage-frequency is controlled:

$\left\{\begin{array}{c}{P}_{\mathrm{Gi}}^{\min }=\underset{\&OverBar;}{P_{\mathrm{Gi}}}\\ P_{\mathrm{Gi}}^{\max }=\stackrel{\&OverBar;}{P_{\mathrm{Gi}}}\end{array}\right.....;$

Wherein, the 5th) the net load power in the step refers to that the ultrashort phase predicted power of total load deducts the total ultrashort phase prediction output power of uncontrollable little power supply, promptly

$P_{\mathrm{net}}=\underset{t\&Element;S_L}{\mathrm{\&Sigma;}}{P}_{\mathrm{Li}}^t-\underset{i\&Element;S_I}{\mathrm{\&Sigma;}}{P}_{\mathrm{Ii}}^t$

In the formula: P _Net-net load power;

The little power supply of-uncontrollable type is exerted oneself;

-load power;

S _IThe little power supply set of-uncontrollable type;

S _LThe set of-internal load.

6) according to the 4th) the energy state different conditions of living in interval of this scheduling slot energy-storage units of monitoring of step, the and the 5th) definite different net load watt levels of step, for the little electrical network under the independent operation mode is formulated different energy-optimised strategies, and set up corresponding energy-optimised model, obtain little economy operation of power grid scheduling scheme of this period by model solution

As Fig. 2～shown in Figure 4, formulate different energy-optimised strategies, carry out as follows:

A) judge the net load power P _NetWhether satisfy P _Net〉=0, as satisfying, then carry out step b)～g),, then forward step h to) as not satisfying;

B) as satisfying P _Net〉=0, then judge the net load power P _NetWith the 5th) the lower limit sum of the basic point operate power of the little power supply of each controllable type that is in open state determined of step

Relation whether satisfy

As satisfy P _Net〉=0, do not satisfy

Then forward step d) to, as satisfy P _Net〉=0, and satisfy Then further judge whether to satisfy SOS＜SOSx, SOS _Max1For the maximum of the energy-storage units set allows the energy storage state, as satisfy SOS＜SOS _Max1, the output power instruction of then determining to be in the little power supply of each controllable type of open state all is taken as

The power instruction of off-load simultaneously is

No cutting load instructs, and obtains little economy operation of power grid scheduling scheme of this period; As satisfy P _Net〉=0, Do not satisfy SOS＜SOS _Max1, then carry out step c);

C) in step b), do not satisfy SOS＜SOS _Max1The time, further judge whether to satisfy SOS＞SOS _MinIf satisfy SOS＞SOS _Min, then calculate the permission charge power P of energy-storage units _Chmax, and judge whether to satisfy

As satisfying The output power instruction of then determining to be in the little power supply of each controllable type of open state all is taken as

The power instruction of off-load simultaneously is 0, and no cutting load instructs, and obtains little economy operation of power grid scheduling scheme of this period, as not satisfying The output power instruction of then determining to be in the little power supply of each controllable type of open state all is taken as

The power instruction of off-load simultaneously is

No cutting load instructs, and obtains little economy operation of power grid scheduling scheme of this period; If do not satisfy SOS＞SOS _Min, then need its charge power P is determined in the energy-storage units charging _Ch1,

${\mathrm{<figure-callout\; id="1"\; label="P\; ch"\; filenames="20111019147451000031.png"\; state="\{\{state\}\}">P</figure-callout>}}_{\mathrm{ch}}=\min (\frac{(\frac{{\mathrm{<figure-callout\; id="2"\; label="SOS\; max"\; filenames="HSA00000534164700041.png"\; state="\{\{state\}\}">SOS</figure-callout>}}_{\max }+{\mathrm{SOS}}_{\min }}{2}-\mathrm{SOS})\&CenterDot;C_{\mathrm{stor}}}{\mathrm{\&Delta;t}},P_{\mathrm{ch}\_\max })$

P _Ch1-energy-storage units charge power;

The energy storage state that the SOS-energy-storage units is current;

C _Stor-energy-storage units capacity, kWh;

P _{Ch_max}The maximum chargeable power of-energy-storage units, kW;

This moment, energy-storage units was equivalent to load, further judged whether to satisfy As satisfying

The output power instruction of then determining to be in the little power supply of each controllable type of open state all is taken as

The power instruction of off-load simultaneously is 0, and no cutting load instructs, and obtains little economy operation of power grid scheduling scheme of this period, as not satisfying

Then set up Optimization Model, optimized distribution is in the output power instruction of the little power supply of each controllable type of open state, and the power instruction of off-load simultaneously is 0, and no cutting load instructs, and obtains little economy operation of power grid scheduling scheme of this period, and wherein, the Optimization Model of foundation is

min?f(x)

$s.t\left\{\begin{array}{cc}\begin{array}{c}h(x,u)=0\\ \underset{\&OverBar;}{g}\&le;g(x,u)\&le;\stackrel{\&OverBar;}{g}\end{array}& x\&Element;R,u\&Element;\left\{\mathrm{0,1}\right\}\end{array}\right.$

Wherein:

Optimization variable x, u is defined as:

$x=P_{\mathrm{Gi}}^t,D_{\mathrm{Gi}}^{t,k},i\&Element;S_G^t,t\&Element;S_T$

$u=v_{\mathrm{Gi}}^{t,k},i\&Element;S_G^t,t\&Element;S_T$

Objective function f (x) is defined as:

$f\left(x\right)=\underset{i\&Element;S_G^t}{\mathrm{\&Sigma;}}(A_{\mathrm{<figure-callout\; id="1"\; label="Gi"\; filenames="20111019147451000031.png"\; state="\{\{state\}\}">Gi</figure-callout>}}^1+\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}\left(F_{\mathrm{Gi}}^k{D}_{\mathrm{Gi}}^{t,k}\right)+K_{\mathrm{OMi}}{P}_{\mathrm{Gi}}^t)$

Equality constraint h (x u) comprising:

(1). the power-balance constraint:

$\underset{i\&Element;S_G^t}{\mathrm{\&Sigma;}}{P}_{\mathrm{Gi}}^t=\underset{i\&Element;S_L}{\mathrm{\&Sigma;}}{P}_{\mathrm{Li}}^t+P_{\mathrm{ch}1}-\underset{i\&Element;S_I}{\mathrm{\&Sigma;}}{P}_{\mathrm{Ii}}^t,i\&Element;S_G^t,t\&Element;S_T$

(2). the definition of exerting oneself of the little power supply of controllable type:

$P_{\mathrm{Gi}}^t={\mathrm{<figure-callout\; id="1"\; label="B\; Gi"\; filenames="20111019147451000031.png"\; state="\{\{state\}\}">B</figure-callout>}}_{\mathrm{Gi}}^{}+\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{D}_{\mathrm{Gi}}^{t,k},i\&Element;S_G^t,t\&Element;S_T$

(3). the little power supply partition running ownership of controllable type marker bit mutual exclusion condition:

$\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,k}=1,i\&Element;S_G^t,t\&Element;S_T$

Inequality constrain g (x u) comprising:

(1). the little power supply segmentation of the controllable type value defined of exerting oneself

$\underset{j=k+1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,j}\&le;\frac{D_{\mathrm{Gi}}^{t,k}}{B_{\mathrm{Gi}}^{k+1}-B_{\mathrm{Gi}}^k}\&le;\underset{j=k}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,j},i\&Element;S_G^t,t\&Element;S_T,k=1...L_{\mathrm{Gi}}$

Wherein, each symbol definition is as follows:

Be in the little power supply set of controllable type of open state for this period; S _IBe the little power supply set of uncontrollable type, S _LFor internal load set, f (x) be objective function,

For the little power supply cost curve of controllable type parameter, For the little power supply sectional curve of controllable type home state,

Be the little power supply sectional curve of controllable type value state, L _GiBe the little power supply cost curve of controllable type segments, K _OMiFor the little power supply operation expense of controllable type,

Exert oneself for the little power supply of controllable type is meritorious,

For the little power supply of uncontrollable type exert oneself,

Be load power;

D) in step b), satisfy P _Net〉=0, do not satisfy

The time, further judge whether to satisfy SOS＞SOS _Max2If satisfy SOS＞SOS _Max2, then calculate the available at least discharge power P of energy-storage units _Dh1,

${\mathrm{<figure-callout\; id="1"\; label="P\; dh"\; filenames="20111019147451000031.png"\; state="\{\{state\}\}">P</figure-callout>}}_{\mathrm{dh}}=\min (\frac{(\mathrm{SOS}-\frac{{\mathrm{<figure-callout\; id="2"\; label="SOS\; max"\; filenames="HSA00000534164700041.png"\; state="\{\{state\}\}">SOS</figure-callout>}}_{\max }+{\mathrm{SOS}}_{\min }}{2})\&CenterDot;C_{\mathrm{stor}}}{\mathrm{\&Delta;t}},P_{\mathrm{dh}\_\max })$

P _Dh1-energy-storage units discharge power;

The energy storage state that the SOS-energy-storage units is current;

C _Stor-energy-storage units capacity, kWh;

P _{Dh_max}But the maximum discharge power of-energy-storage units, kW;

And forward step e) to; If do not satisfy SOS＞SOS _Max2, then further judge whether to satisfy SOS＞SOS _MinIf satisfy SOS＞SOS _Min, then make P _Dh1=0, forward step e) simultaneously to, if do not satisfy SOS＞SOS _Min, then to energy-storage units with power P _Ch1Charging, and forward step g) to, it is P _Ch1Be defined as:

${\mathrm{<figure-callout\; id="1"\; label="P\; dh"\; filenames="20111019147451000031.png"\; state="\{\{state\}\}">P</figure-callout>}}_{\mathrm{dh}}=\min (\frac{(\frac{{\mathrm{<figure-callout\; id="2"\; label="SOS\; max"\; filenames="HSA00000534164700041.png"\; state="\{\{state\}\}">SOS</figure-callout>}}_{\max }+{\mathrm{SOS}}_{\min }}{2}-\mathrm{SOS})\&CenterDot;C_{\mathrm{stor}}}{\mathrm{\&Delta;t}},P_{\mathrm{dh}\_\max })$

P _Ch1-energy-storage units charge power;

The energy storage state that the SOS-energy-storage units is current;

C _Stor-energy-storage units capacity, kWh;

P _{Ch_max}The maximum chargeable power of-energy-storage units, kW;

E) judge whether to satisfy

As satisfying

The output power instruction of then determining to be in the little power supply of each controllable type of open state all is taken as

The instruction of energy-storage units discharge power is The power instruction of off-load simultaneously is 0, and no cutting load instructs, and obtains little economy operation of power grid scheduling scheme of this period, as not satisfying Then further judge whether to satisfy

As not satisfying

Then forward step f) to, as satisfying, then the energy-storage units power instruction is discharge P _Dh1, and by the little power supply optimized distribution of each controllable type P _Net-P _Dh1, the power instruction of off-load simultaneously is 0, no cutting load instructs, and obtains little economy operation of power grid scheduling scheme of this period, wherein, the little power supply optimized distribution of each controllable type P _Net-P _Dh1Corresponding Optimization Model is as follows:

min?f(x，u)

$s.t\left\{\begin{array}{cc}\begin{array}{c}h(x,u)=0\\ \underset{\&OverBar;}{g}\&le;g(x,u)\&le;\stackrel{\&OverBar;}{g}\end{array}& x\&Element;R,u\&Element;\left\{\mathrm{0,1}\right\}\end{array}\right.$

Wherein:

Optimization variable x, u is defined as:

$x=P_{\mathrm{Gi}}^t,D_{\mathrm{Gi}}^{t,k},i\&Element;S_G^t,t\&Element;S_T$

$u=v_{\mathrm{Gi}}^{t,k},i\&Element;S_G^t,t\&Element;S_T$

Objective function f (x u) is defined as:

$f\left(x\right)=\underset{i\&Element;S_G^t}{\mathrm{\&Sigma;}}(A_{\mathrm{<figure-callout\; id="1"\; label="Gi"\; filenames="20111019147451000031.png"\; state="\{\{state\}\}">Gi</figure-callout>}}^1+\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}\left(F_{\mathrm{Gi}}^k{D}_{\mathrm{Gi}}^{t,k}\right)+K_{\mathrm{OMi}}{P}_{\mathrm{Gi}}^t)$

Equality constraint h (x u) comprising:

(1). the power-balance constraint:

$\underset{i\&Element;S_G^t}{\mathrm{\&Sigma;}}{P}_{\mathrm{Gi}}^t=P_{\mathrm{net}}-{\mathrm{<figure-callout\; id="1"\; label="P\; dh"\; filenames="20111019147451000031.png"\; state="\{\{state\}\}">P</figure-callout>}}_{\mathrm{dh}},i\&Element;S_G^t,t\&Element;S_T$

(2). the definition of exerting oneself of the little power supply of controllable type:

$P_{\mathrm{Gi}}^t={\mathrm{<figure-callout\; id="1"\; label="B\; Gi"\; filenames="20111019147451000031.png"\; state="\{\{state\}\}">B</figure-callout>}}_{\mathrm{Gi}}^{}+\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{D}_{\mathrm{Gi}}^{t,k},i\&Element;S_G^t,t\&Element;S_T$

(3). the little power supply partition running ownership of controllable type marker bit mutual exclusion condition:

$\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,k}=1,i\&Element;S_G^t,t\&Element;S_T$

Inequality constrain g (x u) comprising:

(1). the little power supply segmentation of the controllable type value defined of exerting oneself

$\underset{j=k+1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,j}\&le;\frac{D_{\mathrm{Gi}}^{t,k}}{B_{\mathrm{Gi}}^{k+1}-B_{\mathrm{Gi}}^k}\&le;\underset{j=k}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,j},i\&Element;S_G^t,t\&Element;S_T,k=1...L_{\mathrm{Gi}}$

Wherein, each symbol definition is as follows:

Be in the little power supply set of controllable type of open state for this period; S _IBe the little power supply set of uncontrollable type, S _LFor internal load set, f (x) be objective function,

For the little power supply cost curve of controllable type parameter,

For the little power supply sectional curve of controllable type home state,

Be the little power supply sectional curve of controllable type value state, L _GiBe the little power supply cost curve of controllable type segments, K _OMiFor the little power supply operation expense of controllable type,

Exert oneself for the little power supply of controllable type is meritorious, P _NetBe net load power;

F) as not satisfying in the step e)

Then calculate the available maximum discharge power P of energy-storage units _{Dh max}, its calculating formula is:

$P_{\mathrm{dh}\max }=\min (\frac{\left(\frac{\mathrm{SOS}-{\mathrm{SOS}}_{\min }}{2}\right)\&CenterDot;C_{\mathrm{stor}}}{\mathrm{\&Delta;t}},P_{\mathrm{dh}\_\max })$

P _{Dh max}-energy-storage units discharge power,

The energy storage state that the SOS-energy-storage units is current,

C _Stor-energy-storage units capacity, kWh,

P _{Dh_max}The maximum of-energy-storage units allows discharge power, kW,

And further judge whether to satisfy

If satisfy Then the little output power of power supply instruction of each controllable type is

The power instruction of off-load simultaneously is 0, and no cutting load instruction obtains little economy operation of power grid scheduling scheme of this period, if do not satisfy

Then forward step g) to;

G) set up load and can interrupt Optimization Model, determine the output power instruction and the load excision instruction of the little power supply of each controllable type according to the model solution result, simultaneously the off-load power instruction is 0 to obtain little economy operation of power grid scheduling scheme of this period, and wherein can to interrupt Optimization Model as follows for load:

max?f(x，u)

$s.t\left\{\begin{array}{cc}\begin{array}{c}h(x,u)=0\\ \underset{\&OverBar;}{g}\&le;g(x,u)\&le;\stackrel{\&OverBar;}{g}\end{array}& x\&Element;R,u\&Element;\{0,1\}\end{array}\right.$

Wherein:

Optimization variable x, u is defined as:

$\left\{\begin{array}{cc}\begin{array}{c}x=P_{\mathrm{Gi}}^t,D_{\mathrm{Gi}}^{t,k},P_{\mathrm{stor}}^t,D_{\mathrm{Stor}}^k\\ u=x_i^t,v_{\mathrm{Gi}}^{t,k},u_{\mathrm{stor}}^t\end{array}& i\&Element;S_G^t,t\&Element;S_T\end{array}\right.$

Objective function f (x u) is defined as:

$f(x,u)=\underset{i\&Element;S_L^t}{\mathrm{\&Sigma;}}(p_i^t{x}_i^t-b_i^t\stackrel{\&OverBar;}{x_i^t})\&CenterDot;P_{\mathrm{Li}}^t+\underset{t\&Element;S_L-S_L^t}{\mathrm{\&Sigma;}}\left(c{P}_{\mathrm{Li}}^t\right)$

$-(\underset{i\&Element;S_G^t}{\mathrm{\&Sigma;}}(A_{\mathrm{<figure-callout\; id="1"\; label="Gi"\; filenames="20111019147451000031.png"\; state="\{\{state\}\}">Gi</figure-callout>}}^1+\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}\left(F_{\mathrm{Gi}}^k{D}_{\mathrm{Gi}}^{t,k}\right)+K_{\mathrm{OMi}}{P}_{\mathrm{Gi}}^t)+f(u_{\mathrm{stor}}^t,P_{\mathrm{stor}}^t))$

Wherein,

Represent for the linearization of energy-storage units discharge penalty function, be defined as:

$f(u_{\mathrm{stor}}^t,P_{\mathrm{stor}}^t)=u_{\mathrm{sotr}}^t{A}_{\mathrm{Stor}}^1+\underset{k=1}{\overset{L_S}{\mathrm{\&Sigma;}}}\left(F_{\mathrm{Stor}}^k{D}_{\mathrm{Stor}}^k\right)$

Energy-storage units discharge penalty function

Be designed to

$C\left(P_{\mathrm{stor}}^t\right)=\mathrm{\&delta;}\&CenterDot;P_{\mathrm{stor}}^t\&CenterDot;\mathrm{\&Delta;t}$

δ＝a ₁+a ₂·dSOS+a ₃·P _dh+a ₄·dSOS·P _dh+a ₅·dSOS ²

dSOS＝SOS-SOS ^min

Equality constraint h (x u) comprising:

(1). the power-balance constraint:

$\underset{i\&Element;S_G^t}{\mathrm{\&Sigma;}}{P}_{\mathrm{Gi}}^t+\underset{i\&Element;S_I}{\mathrm{\&Sigma;}}{P}_{\mathrm{Ii}}^t+P_{\mathrm{Stor}}^t=\underset{i\&Element;s_L^t}{\mathrm{\&Sigma;}}{x}_i^t{P}_{\mathrm{Li}}^t+\underset{i\&Element;S_L-S_L^t}{\mathrm{\&Sigma;}}{P}_{\mathrm{Li}}^t,i\&Element;S_G^t,t\&Element;S_T$

(2). the definition of exerting oneself of the little power supply of controllable type:

$P_{\mathrm{Gi}}^t={\mathrm{<figure-callout\; id="1"\; label="B\; Gi"\; filenames="20111019147451000031.png"\; state="\{\{state\}\}">B</figure-callout>}}_{\mathrm{Gi}}^{}+\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{D}_{\mathrm{Gi}}^{t,k},i\&Element;S_G^t,t\&Element;S_T$

(3). the little power supply partition running ownership of controllable type marker bit mutual exclusion condition:

$\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,k}=1,i\&Element;S_G^t,t\&Element;S_T$

(4). the energy-storage units definition of exerting oneself:

$P_{\mathrm{Stor}}^t=u_{\mathrm{sotr}}^{\mathrm{<figure-callout\; id="1"\; label="t\; B\; Stor"\; filenames="20111019147451000031.png"\; state="\{\{state\}\}">t</figure-callout>}}{B}_{\mathrm{Stor}}^{}{}_1^{}+\underset{k=1}{\overset{L_S}{\mathrm{\&Sigma;}}}{D}_S^k$

(5). energy-storage units partition running ownership marker bit mutual exclusion condition:

$\underset{k=1}{\overset{L_S}{\mathrm{\&Sigma;}}}{v}_{\mathrm{stor}}^k=u_{\mathrm{stor}}^t$

Inequality constrain g (x u) comprising:

(1). the little power supply segmentation of the controllable type value defined of exerting oneself:

$\underset{j=k+1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,j}\&le;\frac{D_{\mathrm{Gi}}^{t,k}}{B_{\mathrm{Gi}}^{k+1}-B_{\mathrm{Gi}}^k}\&le;\underset{j=k}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,j},i\&Element;S_G^t,t\&Element;S_T,k=1...L_{\mathrm{Gi}}$

(2). the energy-storage units segmentation value defined of exerting oneself:

$\underset{j=k+1}{\overset{L_S}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Stor}}^j\&le;\frac{D_{\mathrm{Stor}}^k}{B_{\mathrm{Stor}}^{k+1}-B_{\mathrm{Stor}}^k}\&le;\underset{j=k}{\overset{L_S}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Stor}}^j,k=1...L_{\mathrm{Stor}}$

Wherein, each symbol definition is as follows:

Be in the little power supply set of controllable type of open state for this period; S _IBe the little power supply set of uncontrollable type, S _LFor internal load set,

For the set of inner interruptible load, f (x, u) be objective function,

Be the contract electricity price signed of i interruptible load and little power grid operation merchant (unit/kWh),

α _iBe the electricity price coefficient of interruptible load, for discount formula interruptible load, α _i≤ 1, for height reparations interruptible load, α _i=1, p ₀Be the sale of electricity electricity price (unit/kWh),

Be the interruptible load unit damages of being had no progeny in little electrical network (unit/kWh), b _i=β _ip ₀, β _iBe to interrupt the reparations coefficient, for discount formula interruptible load, β _i=0, the damages of having no progeny in promptly not having,

For the load,

Be the state that cut-offs of i interruptible load, 1-does not disconnect, the 0-disconnection,

The expression negate; ,

For the little power supply cost curve of controllable type parameter, For energy-storage units penalty function parameter of curve,

For the little power supply sectional curve of controllable type home state,

For energy-storage units discharge penalty function sectional curve home state,

For the little power supply sectional curve of controllable type value state,

Be energy-storage units discharge penalty function sectional curve value state, L _GiBe the little power supply cost curve of controllable type segments, L _SBe energy-storage units discharge penalty function curve segmentation number, K _OMiFor the little power supply operation expense of controllable type,

Exert oneself for the little power supply of controllable type is meritorious;

H) do not satisfy P when net load power _Net, further judge whether to satisfy SOS＜SOS at 〉=0 o'clock _Max1, as not satisfying SOS＜SOS _Max1, then the little output power of power supply instruction of each controllable type is

The power instruction of off-load simultaneously is No cutting load instruction obtains little economy operation of power grid scheduling scheme of this period, as satisfies SOS＜SOS _Max1, then calculate the maximum charge power P that energy-storage units allows _{Ch max}, and forward step I to), wherein, P _{Ch max}Calculating formula be:

$P_{\mathrm{ch}\max }=\min (\frac{({\mathrm{SOS}}_{\max 1}-\mathrm{SOS})\&CenterDot;C_{\mathrm{Stor}}}{\mathrm{\&Delta;t}},P_{\mathrm{ch}\_\max })$

P _{Ch max}-energy-storage units charge power;

The energy storage state that the SOS-energy-storage units is current;

C _Stor-energy-storage units capacity, kWh;

P _{Ch_max}The maximum of-energy-storage units allows charge power, kW;

I) judge whether to satisfy

As satisfying

Then the little output power of power supply instruction of each controllable type is

The power instruction of off-load simultaneously is 0, and no cutting load instructs, and obtains little economy operation of power grid scheduling scheme of this period; As not satisfying

Then the little output power of power supply instruction of each controllable type is

The power instruction of off-load simultaneously is

No cutting load instructs, and obtains little economy operation of power grid scheduling scheme of this period.

7) by the 6th) little economy operation of power grid scheduling scheme of obtaining of step forms little dispatching of power netwoks instruction, be distributed to the controller of the little power supply of controllable type, the little power supply of renewable energy power generation, relief arrangement and load in little electrical network, make little electrical network next period according to the specific mode safety and economic operation;

8) in next scheduling constantly, judge whether to reach nT period, if not, then repeating step 4), if then repeating step 2).

Below in conjunction with accompanying drawing, embodiments of the invention are elaborated, the overview flow chart of this invention as shown in Figure 1, this invention the 6th) involved process flow diagram of step such as Fig. 2～shown in Figure 4.

Embodiment:

Consider little electrical network as shown in Figure 5, little electrical network includes diesel-driven generator (DE), miniature gas turbine (MT), fuel cell (FC), aerogenerator (WT), photovoltaic cell (PV) and accumulator (Storage), the point of common coupling (PCC) that little electrical network is connected with big electrical network keeps disconnecting, it is little electrical network independent operating, wherein, diesel-driven generator in little electrical network, miniature gas turbine, fuel cell is the little power supply of controllable type, aerogenerator, photovoltaic cell is the little power supply of uncontrollable type, little electrical network is by accumulator and the control of fuel cell fellowship voltage-frequency, diesel-driven generator and miniature gas turbine adopt PQ control, are divided into SOS between the storage battery energy state area _Amx1=0.9, SOS _Max2=0.8, SOS _Min=0.4, adopt the present invention that the little electrical network under the independent operation mode is carried out real-time energy-optimised scheduling.

1) adds up little operation of power networks historical data, set up the nonlinear function of the cost-power curve of the little power supply of all controllable types in little electrical network, and with its piece-wise linearization, the form of piece-wise linearization as shown in Figure 6.Fuel cell with certain model is an example, and the parameter after the linearization is as shown in table 1, uses modified linearized model, and promptly the plan problem a few days ago that can use the MILP (Mixed Integer Linear Programming) model to come the modeling microgrid guarantees that finding the solution of problem is convenient.

Certain model fuel cell cost of table 1-power curve piece-wise linearization parameter

2) gather little network load information data, weather information data, the historical data of comprehensive little operation of power networks is carried out following one day prediction to load/wind energy/sun power, obtains the load/wind energy/sun power predicted data of little electrical network in following a day.

3) it was a period with 1 hour; the following intraday economical operation of little electrical network is divided into 24 periods; with little electrical network 24 hour operation cost minimum is objective function; wherein the little power supply of all controllable types uses modified linearized model; consider the day part energy equilibrium of little electrical network inside; the restriction of exerting oneself of each equipment component/climbing rate restriction/startup-shutdown cost; based on step 2) in the day preload/wind energy/sun power predicted data; this little electrical network plan problem is a few days ago constituted a MILP (Mixed Integer Linear Programming) problem to be found the solution; plans are optimized in the unit start and stop a few days ago that obtain the little power supply of day part controllable type, as shown in Figure 7.

4) in little real-time power network operational process, with per 15 minutes was a dispatching cycle, soon per hour be divided into 4 scheduling slots, whole day is divided into nT=24*4=96 scheduling slot, constantly monitor the energy state SOS of energy-storage units in each scheduling, gather little network load information data, weather information data with, load/wind energy/sun power is carried out ultrashort phase prediction, obtain the load/wind energy/sun power predicted data of little electrical network in this scheduling slot;

5) optimize plans according to the unit start and stop a few days ago of step 3) and obtain the little power supply set of controllable type that the current period is in open state, determine to be in the bound of basic point operate power of the little power supply of each controllable type of open state

Load/wind energy/sun power the predicted data of little electrical network is determined the net load watt level in this scheduling slot that obtains according to step 4);

6) the energy state SOS different conditions of living in interval of this scheduling slot energy-storage units that monitors according to step 4), and the definite different net load watt levels of step 5), for the little electrical network under the independent operation mode is formulated different energy-optimised strategies, and set up corresponding energy-optimised model, obtain little economy operation of power grid scheduling scheme of this period by model solution;

7) the little economy operation of power grid scheduling scheme that is obtained by step 6) forms little dispatching of power netwoks instruction, be distributed to the controller of the little power supply of controllable type, the little power supply of renewable energy power generation, relief arrangement and load in little electrical network, make little electrical network next period according to the specific mode safety and economic operation;

8) in next scheduling constantly, judge whether to reach the 24th period, if not, then repeating step 4), if then repeating step 2).

The result of Fig. 8 for adopting the present invention that the real-time energy-optimised scheduling of little electrical network example under the independent operation mode is obtained, wherein, figure (a) ultrashort phase power prediction; (b) real power output; (c) cutting load and off-load; (d) the little power output order of controllable type; (e) real power of voltage-frequency control module output; (f) the energy state SOS of energy-storage units.

Analysis chart 7 as can be known, at the 0-2 point, because the microgrid internal load is less, thus a diesel-driven generator (DE) only arranged in plan a few days ago, and during the 4-23 point, power load is soaring, be the As soon as possible Promising Policy workload demand, arrange three little power supplys of controllable type all to start shooting, at 24 points, the microgrid internal load descends to some extent, and this section arranged diesel-driven generator (DE) and two little power supplys of controllable type of fuel cell (FC) in the period.

Analysis chart 8 as can be known, Fig. 8 (a) is the maximum period of little network load during showing the 8-11 point, Fig. 8 (c) is presented at the little power supply of 8-11 point period three platform controllable type and all moves by the higher limit of basic point operate power, owing to still can not all satisfy workload demand, therefore this section increased the output power (Fig. 8 (e) as seen) of accumulator and excised sub-load (Fig. 8 (c) P_Cut as seen) by demand side load bidding strategies in the period, to keep little electrical network internal electric energy equilibrium of supply and demand; Because the inner uncontrollable little power ratio of this little electrical network example is less, so whole day all there is not the situation of emergent power surplus, excess power off-load instruction is 0 (P_Shed among Fig. 8 (c)) always; Fig. 8 (e) is the real power output of voltage-frequency control module, because the voltage-frequency control module will be shared the randomness fluctuating power of little electrical network inside, so the real power of fuel cell output (Fig. 8 (e) P_FC) is the randomness fluctuating power component when having superposeed real time execution on its power operating instruction value (Fig. 8 (d) P_FC) basis; Fig. 8 (e) P_Storage is an accumulator cell charging and discharging power, because accumulator participates in voltage-frequency control, and it is not carried out power dispatching as a rule, promptly specifying its power operation basic point is 0, so in most cases it shares the fluctuating power in little electrical network, it is less to discharge and recharge power, but in some cases, such as load when excessive, if each little power supply all still can not satisfy all loads fully by the operation of basic point power upper limit value, then need to dispatch battery discharging, corresponding this example is presented as that at the 8-10 point accumulator has big discharge power, but accumulator whole day to discharge and recharge power still less relatively, illustrate and reduced the demand of little electrical network, improved the cost of investment and the maintenance cost of little electrical network, improved little operation of power networks economy the energy-storage units capacity.Fig. 8 (f) is storage battery energy state SOS, and as seen it between safety energy state scope 0.5～0.9, prevents to overcharge or overdischarge all the time, can prolong accumulator serviceable life, guarantees that little power grid security moves reliably.

In sum, test result by present embodiment, the energy-optimised dispatching method of little yardstick of many time of electrical network under a kind of independent operation mode that the present invention proposes is described, can take into account the security and the economy of little operation of power networks, reduced the demand of little electrical network simultaneously, and adapted to various ruuning situations such as the overweight or generation of electricity by new energy surplus of little network load the energy-storage units capacity.

Claims (7)

1. the energy-optimised dispatching method of little yardstick of many time of electrical network under the independent operation mode is characterized in that, comprises the steps:

1) add up little operation of power networks historical data, set up the nonlinear function of the cost-power curve of the little power supply of all controllable types in little electrical network, and with its piece-wise linearization;

2) gather little network load information data, weather information data, the historical data of comprehensive little operation of power networks is carried out following one day prediction to load/wind energy/sun power, obtains the load/wind energy/sun power predicted data of little electrical network in following a day;

3) the following intraday economical operation of little electrical network is divided into 24 periods, with little electrical network 24 hour operation cost minimum is objective function, wherein the little power supply of all controllable types uses modified linearized model, consider the day part energy equilibrium of little electrical network inside, the restriction of exerting oneself of each equipment component/climbing rate restriction/startup-shutdown cost, based on step 2) in the day preload/wind energy/sun power predicted data, the mathematical model that this little electrical network plan problem is a few days ago constituted a MILP (Mixed Integer Linear Programming) problem is found the solution, and plans are optimized in the unit start and stop a few days ago that obtain the little power supply of day part controllable type;

4) in little real-time power network operational process, with per 15 minutes was a dispatching cycle, soon per hour be divided into 4 scheduling slots, whole day is divided into nT=24*4=96 scheduling slot, constantly monitor the energy state SOS of energy-storage units in each scheduling, gather little network load information data, weather information data with, load/wind energy/sun power is carried out ultrashort phase prediction, obtain the load/wind energy/sun power predicted data of little electrical network in this scheduling slot;

5) optimize plans according to the unit start and stop a few days ago of step 3) and obtain the little power supply set of controllable type that the current period is in open state, determine to be in the bound of basic point operate power of the little power supply of each controllable type of open state

Load/wind energy/sun power the predicted data of little electrical network is determined the net load watt level in this scheduling slot that obtains according to step 4);

6) the energy state different conditions of living in interval of this scheduling slot energy-storage units that monitors according to step 4), and the definite different net load watt levels of step 5), for the little electrical network under the independent operation mode is formulated different energy-optimised strategies, and set up corresponding energy-optimised model, obtain little economy operation of power grid scheduling scheme of this period by model solution;

7) the little economy operation of power grid scheduling scheme that is obtained by step 6) forms little dispatching of power netwoks instruction, be distributed to the controller of the little power supply of controllable type, the little power supply of renewable energy power generation, relief arrangement and load in little electrical network, make little electrical network next period according to the specific mode safety and economic operation;

8) in next scheduling constantly, judge whether to reach nT period, if not, then repeating step 4), if then repeating step 2).

2. the energy-optimised dispatching method of little yardstick of many time of electrical network under a kind of independent operation mode according to claim 1, it is characterized in that: the mathematical model of the MILP (Mixed Integer Linear Programming) problem in the described step 3) is:

min?f(x，u)

$s.t\left\{\begin{array}{cc}\begin{array}{c}h(x,u)=0\\ \underset{\&OverBar;}{g}\&le;g(x,u)\&le;\stackrel{\&OverBar;}{g}\end{array}& x\&Element;R,u\&Element;\left\{\mathrm{0,1}\right\}\end{array}\right.$

Wherein:

Optimization variable x, u is defined as:

$x=\left\{\begin{array}{cc}\begin{array}{c}{P}_{\mathrm{Gi}}^t,D_{\mathrm{Gi}}^{t,k}\\ \mathrm{\&Delta;}{P}_{\mathrm{no}+}^t,{\mathrm{\&Delta;P}}_{\mathrm{no}-}^t\end{array}& i\&Element;S_G,t\&Element;S_T\end{array}\right.$

$u=u_{\mathrm{Gi}}^t,u_{\mathrm{Gi}*}^t,v_{\mathrm{Gi}}^{t,k},i\&Element;S_G,t\&Element;S_T$

Objective function f (x u) is defined as:

$f(x,u)=\underset{t\&Element;S_T}{\mathrm{\&Sigma;}}(\underset{i\&Element;S_G}{\mathrm{\&Sigma;}}(u_{\mathrm{Gi}}^t{A}_{\mathrm{Gi}}^1+\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}\left(F_{\mathrm{Gi}}^k{D}_{\mathrm{Gi}}^{t,k}\right)+K_{\mathrm{OMi}}{P}_{\mathrm{Gi}}^t+S_{\mathrm{Gi}}^{\mathrm{on}}{u}_{\mathrm{Gi}*}^t)+\mathrm{\&sigma;}({\mathrm{\&Delta;P}}_{\mathrm{no}+}^t+{\mathrm{\&Delta;P}}_{\mathrm{no}-}^t))$

Equality constraint h (x u) comprising:

(1) power-balance constraint:

$\underset{i\&Element;S_G}{\mathrm{\&Sigma;}}{P}_{\mathrm{Gi}}^t+\underset{i\&Element;S_I}{\mathrm{\&Sigma;}}{P}_{\mathrm{Ii}}^t+{\mathrm{\&Delta;P}}_{\mathrm{no}+}^t-{\mathrm{\&Delta;P}}_{\mathrm{no}-}^t=\underset{i\&Element;S_L}{\mathrm{\&Sigma;}}{P}_{\mathrm{Li}}^t,t\&Element;S_T$

(2) the little power supply of the controllable type definition of exerting oneself:

$P_{\mathrm{Gi}}^t=u_{\mathrm{Gi}}^t{B}_{\mathrm{Gi}}^1+\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{D}_{\mathrm{Gi}}^{t,k},i\&Element;S_G,t\&Element;S_T$

(3) the little power supply partition running ownership of controllable type marker bit mutual exclusion condition:

$\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,k}=u_{\mathrm{Gi}}^t,i\&Element;S_G,t\&Element;S_T$

(4) equality constraint in the minimum startup-shutdown time-constrain of the little power supply of controllable type:

$\underset{t=1}{\overset{G_i^{\mathrm{on}}}{\mathrm{\&Sigma;}}}(1-u_{\mathrm{Gi}}^t)=0,G_i^{\mathrm{on}}=\min \{N_T,(\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{on}}}-T_{\mathrm{Gi}}^{\mathrm{on}})u_{\mathrm{Gi}}^0\}$

$\underset{t=1}{\overset{G_i^{\mathrm{off}}}{\mathrm{\&Sigma;}}}{u}_{\mathrm{Gi}}^t=0{,G}_i^{\mathrm{off}}=\min \{N_T,(\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{off}}}-T_{\mathrm{Gi}}^{\mathrm{off}})(1-u_{\mathrm{Gi}}^0)\}$

Inequality constrain g (x u) comprising:

(1) the little power supply segmentation of the controllable type value defined of exerting oneself:

$\underset{j=k+1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,j}\&le;\frac{D_{\mathrm{Gi}}^{t,k}}{B_{\mathrm{Gi}}^{k+1}-B_{\mathrm{Gi}}^k}\&le;\underset{j=k}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,j},i\&Element;S_G,t\&Element;S_T,k=1...L_{\mathrm{Gi}}$

(2) the little power supply of controllable type begin to start shooting marker bit definition:

$u_{\mathrm{Gi}*}^t\&GreaterEqual;u_{\mathrm{Gi}}^t-u_{\mathrm{Gi}}^{t-1},i\&Element;S_G,t\&Element;S_T$

(3) the little power supply climbing of controllable type rate constraint:

$\left\{\begin{array}{cc}\begin{array}{c}{P}_{\mathrm{Gi}}^t-P_{\mathrm{Gi}}^{t-1}\&le;\mathrm{\&Delta;T}\stackrel{\&OverBar;}{{\mathrm{\&Delta;P}}_{\mathrm{Gi}}}\\ P_{\mathrm{Gi}}^{t-1}-P_{\mathrm{Gi}}^t\&le;\mathrm{\&Delta;T}\underset{\&OverBar;}{\mathrm{\&Delta;}{P}_{\mathrm{Gi}}}\end{array}& i\&Element;S_G,t\&Element;S_T\end{array}\right.$

(4) the minimum startup-shutdown time-constrain of the little power supply of controllable type:

$\left\{\begin{array}{cc}\begin{array}{cc}\underset{t=k}{\overset{k+\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{on}}}-1}{\mathrm{\&Sigma;}}}{u}_{\mathrm{Gi}}^t\&GreaterEqual;\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{on}}}(u_{\mathrm{Gi}}^k-u_{\mathrm{Gi}}^{k-1})& k\&Element;[G_i^{\mathrm{on}}+1,N_T-\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{on}}}+1]\\ \underset{t=k}{\overset{N_T}{\mathrm{\&Sigma;}}}\left(u_{\mathrm{Gi}}^t(u_{\mathrm{Gi}}^k-u_{\mathrm{Gi}}^{k-1})\right)\&GreaterEqual;0& k\&Element;[N_T-\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{on}}}+2,N_T\end{array}& i\&Element;S_G\end{array}\right.$

$\left\{\begin{array}{cc}\begin{array}{cc}\underset{t=k}{\overset{k+\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{off}}}-1}{\mathrm{\&Sigma;}}}(1-u_{\mathrm{Gi}}^t)\&GreaterEqual;\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{off}}}(u_{\mathrm{Gi}}^{k-1}-u_{\mathrm{Gi}}^k)& k\&Element;[G_i^{\mathrm{off}}+1,N_T-\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{off}}}+1]\\ \underset{t=k}{\overset{N_T}{\mathrm{\&Sigma;}}}(1-u_{\mathrm{Gi}}^t-(u_{\mathrm{Gi}}^{k-1}-u_{\mathrm{Gi}}^k))\&GreaterEqual;0& k\&Element;[N_T-\underset{\&OverBar;}{T_{\mathrm{Gi}}^{\mathrm{off}}}+2,N_T\end{array}& i\&Element;S_G\end{array}\right.$

(5) the maximum startup-shutdown number of times constraint of the little power supply of controllable type:

$\underset{t\&Element;S_T}{\mathrm{\&Sigma;}}{u}_{\mathrm{Gi}*}^t\&le;N_{\mathrm{on}}^{\max },i\&Element;S_G$

(6) participate in little power supply or the constraint of energy-storage units running status that voltage-frequency is controlled:

$\underset{i\&Element;S_{\mathrm{Vf}}}{\mathrm{\&Sigma;}}{u}_{\mathrm{Gi}}^t\&GreaterEqual;1$

Wherein, each symbol definition is as follows: S _TBe period set, S _GBe the little power supply set of controllable type; S _IBe the little power supply set of uncontrollable type, S _LBe internal load set, S _VfFor the little power supply or the energy-storage units that participate in voltage-frequency control are gathered, (x u) is objective function, N to f _TWhen total hop count,

For the little power supply cost curve of controllable type parameter, For the little power supply sectional curve of controllable type home state,

Be the little power supply sectional curve of controllable type value state, L _GiFor the little power supply cost curve of controllable type segments,

Be the little power supply start of controllable type cost, K _OMiFor the little power supply operation expense of controllable type,

Δ P _GiFor the little power supply of controllable type exert oneself the rate of change boundary, For the little power supply of controllable type the shortest continuous operation/idle time,

For the little power supply initial time of controllable type continuously operation/idle time,

For the maximum switching on and shutting down number of times of the little power supply of controllable type,

Exert oneself for the little power supply of controllable type is meritorious, For the little power work state of controllable type (0 close 1 opens),

For the little power supply of controllable type begin to start shooting marker bit,

For the little power supply of uncontrollable type exert oneself,

For load power,

Be the difference between total generated output of system and the total load power

Be the difference between system's total load power and the total generated output

3. the energy-optimised dispatching method of little yardstick of many time of electrical network under a kind of independent operation mode according to claim 2, it is characterized in that: (6) participate in the little power supply or the constraint of energy-storage units running status of voltage-frequency control in the described inequality constrain, its voltage-frequency control is meant, little electrical network is when independent operating, must there be at least one little power supply or energy-storage units to participate in voltage-frequency control, think that little electrical network provides stable voltage and frequency, if a plurality of little power supplys or energy-storage units participate in voltage-frequency control simultaneously, then they will share power swing in little electrical network by sagging control, wherein, energy-storage units participates in voltage-frequency control all the time, the little power supply of part controllable type also can participate in voltage-frequency control, the little power supply of all the other controllable types is meritorious surely idle control, i.e. PQ control.

4. the energy-optimised dispatching method of little yardstick of many time of electrical network under a kind of independent operation mode according to claim 1, it is characterized in that: the energy state SOS of the energy-storage units of described step 4) is the technical parameter that its residue stored energy of reflection accounts for its total volume ratio, is defined as:

$\mathrm{SOS}=\frac{C_{\mathrm{net}}}{C}=1-\frac{3.6\&times;{10}^{-6}\&times;\&Integral;\mathrm{Pdt}}{C}$

In the formula: C _Net-energy-storage units residue stored energy, kWh;

C-energy-storage units total volume, kWh;

The discharge power of P-unit, W.

5. the energy-optimised dispatching method of little yardstick of many time of electrical network under a kind of independent operation mode according to claim 1 is characterized in that: the determining of described step 5) is in the bound of basic point operate power of the little power supply of each controllable type of open state

Be meant and comprise the steps:

A) determine that rise or downward modulation margin of power that this participates in the unit of voltage-frequency control and need provide altogether period are:

${\mathrm{\&Delta;P}}_{\mathrm{\&Sigma;}}^t=e_I\&CenterDot;\underset{i\&Element;S_I}{\mathrm{\&Sigma;}}{P}_{I_i}^t+e_L\&CenterDot;\underset{i\&Element;S_L}{\mathrm{\&Sigma;}}{P}_{\mathrm{Li}}^t$

Rise or downward modulation margin of power that the unit of-participation voltage-frequency control in this scheduling slot need provide altogether;

e _IThe exert oneself maximum error of power prediction of-uncontrollable little power supply;

e _LThe maximum error of-load power prediction;

The little power supply of-uncontrollable type is exerted oneself;

-load power;

B) determine to be in rise or the downward modulation margin of power that each voltage-frequency control module of open state need provide:

${\mathrm{\&Delta;P}}_{\mathrm{Gi}}^t={\mathrm{\&Delta;P}}_{\mathrm{\&Sigma;}}^t\&CenterDot;\frac{\stackrel{\&OverBar;}{P_{\mathrm{Gi}}}}{\stackrel{\&OverBar;}{P_s}+\underset{i\&Element;S_{\mathrm{GVf}}^t}{\mathrm{\&Sigma;}}\stackrel{\&OverBar;}{P_{\mathrm{Gi}}}}$

Rise that the little power supply of controllable type that the constantly interior i platform of-this scheduling is in open state need provide or downward modulation margin of power;

Rise or downward modulation margin of power that the unit of-participation voltage-frequency control in this scheduling slot need provide altogether;

-Di i platform is in the peak power output of the little power supply of controllable type of open state;

The peak power output of-energy-storage units;

-in the little power supply set of the controllable type of the participation voltage-frequency control that is in open state constantly;

C) determine to be in the bound of basic point operate power of the little power supply of each controllable type of open state

For participating in the little power supply of controllable type that voltage-frequency is controlled:

$\left\{\begin{array}{c}{P}_{\mathrm{Gi}}^{\min }=\underset{\&OverBar;}{P_{\mathrm{Gi}}}+{\mathrm{\&Delta;P}}_{\mathrm{Gi}}^t\\ P_{\mathrm{Gi}}^{\max }=\stackrel{\&OverBar;}{P_{\mathrm{Gi}}}-{\mathrm{\&Delta;P}}_{\mathrm{Gi}}^t\end{array}\right.$

For not participating in the little power supply of controllable type that voltage-frequency is controlled:

$\left\{\begin{array}{c}{P}_{\mathrm{Gi}}^{\min }=\underset{\&OverBar;}{P_{\mathrm{Gi}}}\\ P_{\mathrm{Gi}}^{\max }=\stackrel{\&OverBar;}{P_{\mathrm{Gi}}}\end{array}\right..$

6. the energy-optimised dispatching method of little yardstick of many time of electrical network under a kind of independent operation mode according to claim 1, it is characterized in that: the net load power of described step 5) refers to that the ultrashort phase predicted power of total load deducts the total ultrashort phase prediction output power of uncontrollable little power supply, promptly

$P_{\mathrm{net}}=\underset{t\&Element;S_L}{\mathrm{\&Sigma;}}{P}_{\mathrm{Li}}^t-\underset{i\&Element;S_I}{\mathrm{\&Sigma;}}{P}_{\mathrm{Ii}}^t$

P _Net-net load power;

The little power supply of-uncontrollable type is exerted oneself;

-load power;

S _IThe little power supply set of-uncontrollable type;

S _LThe set of-internal load.

7. the energy-optimised dispatching method of little yardstick of many time of electrical network under a kind of independent operation mode according to claim 1, it is characterized in that: the little electrical network under the independent operation mode of described step 6) is formulated different energy-optimised strategies, and set up corresponding energy-optimised model, be meant to comprise the steps:

A) judge the net load power P _NetWhether satisfy P _Net〉=0, as satisfying, then carry out step b)～g),, then forward step h to) as not satisfying;

B) as satisfying P _Net〉=0, then judge the net load power P _NetWith lower limit sum by the basic point operate power of the determined little power supply of each controllable type that is in open state of claim 4

Relation whether satisfy

As satisfy P _Net〉=0, do not satisfy

Then forward step d) to, as satisfy P _Net〉=0, and satisfy

Then further judge whether to satisfy SOS＜SOS _Max1, SOS _Max1For the maximum of the energy-storage units set allows the energy storage state, as satisfy SOS＜SOS _Max1, the output power instruction of then determining to be in the little power supply of each controllable type of open state all is taken as

The power instruction of off-load simultaneously is

No cutting load instructs, and obtains little economy operation of power grid scheduling scheme of this period; As satisfy P _Net〉=0,

Do not satisfy SOS＜SOS _Max1, then carry out step c);

C) in step b), do not satisfy SOS＜SOS _Max1The time, further judge whether to satisfy SOS＞SOS _MinIf satisfy SOS＞SOS _Min, then calculate the permission charge power P of energy-storage units _{Ch max}, and judge whether to satisfy

As satisfying The output power instruction of then determining to be in the little power supply of each controllable type of open state all is taken as

The power instruction of off-load simultaneously is 0, and no cutting load instructs, and obtains little economy operation of power grid scheduling scheme of this period, as not satisfying

The output power instruction of then determining to be in the little power supply of each controllable type of open state all is taken as

The power instruction of off-load simultaneously is

No cutting load instructs, and obtains little economy operation of power grid scheduling scheme of this period; If do not satisfy SOS＞SOS _Min, then need its charge power P is determined in the energy-storage units charging _Ch1,

$P_{\mathrm{ch}1}=\min (\frac{(\frac{{\mathrm{SOS}}_{\max 2}+{\mathrm{SOS}}_{\min }}{2}-\mathrm{SOS})\&CenterDot;C_{\mathrm{stor}}}{\mathrm{\&Delta;t}},P_{\mathrm{ch}\_\max })$

P _Ch1-energy-storage units charge power;

The energy storage state that the SOS-energy-storage units is current;

C _Stor-energy-storage units capacity, kWh;

P _{Ch_max}The maximum chargeable power of-energy-storage units, kW;

This moment, energy-storage units was equivalent to load, further judged whether to satisfy

As satisfying

The output power instruction of then determining to be in the little power supply of each controllable type of open state all is taken as

The power instruction of off-load simultaneously is 0, and no cutting load instructs, and obtains little economy operation of power grid scheduling scheme of this period, as not satisfying

Then set up Optimization Model, optimized distribution is in the output power instruction of the little power supply of each controllable type of open state, and the power instruction of off-load simultaneously is 0, and no cutting load instructs, and obtains little economy operation of power grid scheduling scheme of this period, and wherein, the Optimization Model of foundation is

min?f(x)

$s.t\left\{\begin{array}{cc}\begin{array}{c}h(x,u)=0\\ \underset{\&OverBar;}{g}\&le;g(x,u)\&le;\stackrel{\&OverBar;}{g}\end{array}& x\&Element;R,u\&Element;\left\{\mathrm{0,1}\right\}\end{array}\right.$

Wherein:

Optimization variable x, u is defined as:

$x=P_{\mathrm{Gi}}^t,D_{\mathrm{Gi}}^{t,k},i\&Element;S_G^t,t\&Element;S_T$

$u=v_{\mathrm{Gi}}^{t,k},i\&Element;S_G^t,t\&Element;S_T$

Objective function is defined as:

$f\left(x\right)=\underset{i\&Element;S_G^t}{\mathrm{\&Sigma;}}(A_{\mathrm{Gi}}^1+\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}\left(F_{\mathrm{Gi}}^k{D}_{\mathrm{Gi}}^{t,k}\right)+K_{\mathrm{OMi}}{P}_{\mathrm{Gi}}^t)$

Equality constraint h (x u) comprising:

(1) power-balance constraint:

$\underset{i\&Element;S_G^t}{\mathrm{\&Sigma;}}{P}_{\mathrm{Gi}}^t=\underset{i\&Element;S_L}{\mathrm{\&Sigma;}}{P}_{\mathrm{Li}}^t+P_{\mathrm{ch}1}-\underset{i\&Element;S_I}{\mathrm{\&Sigma;}}{P}_{\mathrm{Ii}}^t,i\&Element;S_G^t,t\&Element;S_T$

(2) the little power supply of the controllable type definition of exerting oneself:

$P_{\mathrm{Gi}}^t=B_{\mathrm{Gi}}^1+\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{D}_{\mathrm{Gi}}^{t,k},i\&Element;S_G^t,t\&Element;S_T$

(3) the little power supply partition running ownership of controllable type marker bit mutual exclusion condition:

$\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,k}=1,i\&Element;S_G^t,t\&Element;S_T$

Inequality constrain g (x u) comprising:

(1) the little power supply segmentation of the controllable type value defined of exerting oneself

$\underset{j=k+1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,j}\&le;\frac{D_{\mathrm{Gi}}^{t,k}}{B_{\mathrm{Gi}}^{k+1}-B_{\mathrm{Gi}}^k}\&le;\underset{j=k}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,j},i\&Element;S_G^t,t\&Element;S_T,k=1...L_{\mathrm{Gi}}$

Wherein, each symbol definition is as follows:

Be in the little power supply set of controllable type of open state for this period; S _IBe the little power supply set of uncontrollable type, S _LFor internal load set, f (x) be objective function,

For the little power supply cost curve of controllable type parameter,

For the little power supply sectional curve of controllable type home state,

Be the little power supply sectional curve of controllable type value state, L _GiBe the little power supply cost curve of controllable type segments, K _OMiFor the little power supply operation expense of controllable type,

Exert oneself for the little power supply of controllable type is meritorious,

For the little power supply of uncontrollable type exert oneself,

Be load power;

D) in step b), satisfy P _Net〉=0, do not satisfy

The time, further judge whether to satisfy SOS＞SOS _Max2If satisfy SOS＞SOS _Max2, then calculate the available at least discharge power P of energy-storage units _Dh1,

$P_{\mathrm{dh}1}=\min (\frac{(\mathrm{SOS}-\frac{{\mathrm{SOS}}_{\max 2}+{\mathrm{SOS}}_{\min }}{2})\&CenterDot;C_{\mathrm{stor}}}{\mathrm{\&Delta;t}},P_{\mathrm{dh}\_\max })$

P _Dh1-energy-storage units discharge power;

The energy storage state that the SOS-energy-storage units is current;

C _Stor-energy-storage units capacity, kWh;

P _{Dh_max}But the maximum discharge power of-energy-storage units, kW;

And forward step e) to; If do not satisfy SOS＞SOS _Max2, then further judge whether to satisfy SOS＞SOS _MinIf satisfy SOS＞SOS _Min, then make P _Dh1=0, forward step e) simultaneously to, if do not satisfy SOS＞SOS _Min, then to energy-storage units with power P _Ch1Charging, and forward step g) to, it is P _Ch1Be defined as:

$P_{\mathrm{dh}1}=\min (\frac{(\frac{{\mathrm{SOS}}_{\max 2}+{\mathrm{SOS}}_{\min }}{2}-\mathrm{SOS})\&CenterDot;C_{\mathrm{stor}}}{\mathrm{\&Delta;t}},P_{\mathrm{dh}\_\max })$

P _Ch1-energy-storage units charge power;

The energy storage state that the SOS-energy-storage units is current;

C _Stor-energy-storage units capacity, kWh;

P _{Ch_max}The maximum chargeable power of-energy-storage units, kW;

E) judge whether to satisfy

As satisfying

The output power instruction of then determining to be in the little power supply of each controllable type of open state all is taken as

The instruction of energy-storage units discharge power is

The power instruction of off-load simultaneously is 0, and no cutting load instructs, and obtains little economy operation of power grid scheduling scheme of this period, as not satisfying

Then further judge whether to satisfy

As not satisfying

Then forward step f) to, as satisfying, then the energy-storage units power instruction is discharge P _Dh1, and by the little power supply optimized distribution of each controllable type P _Net-P _Dh1, the power instruction of off-load simultaneously is 0, no cutting load instructs, and obtains little economy operation of power grid scheduling scheme of this period, wherein, the little power supply optimized distribution of each controllable type P _Net-P _Dh1Corresponding Optimization Model is as follows:

min?f(x，u)

$s.t\left\{\begin{array}{cc}\begin{array}{c}h(x,u)=0\\ \underset{\&OverBar;}{g}\&le;g(x,u)\&le;\stackrel{\&OverBar;}{g}\end{array}& x\&Element;R,u\&Element;\left\{\mathrm{0,1}\right\}\end{array}\right.$

Wherein:

Optimization variable x, u is defined as:

$x=P_{\mathrm{Gi}}^t,D_{\mathrm{Gi}}^{t,k},i\&Element;S_G^t,t\&Element;S_T$

$u=v_{\mathrm{Gi}}^{t,k},i\&Element;S_G^t,t\&Element;S_T$

Objective function f (x u) is defined as:

$f\left(x\right)=\underset{i\&Element;S_G^t}{\mathrm{\&Sigma;}}(A_{\mathrm{Gi}}^1+\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}\left(F_{\mathrm{Gi}}^k{D}_{\mathrm{Gi}}^{t,k}\right)+K_{\mathrm{OMi}}{P}_{\mathrm{Gi}}^t)$

Equality constraint h (x) comprising:

(1). the power-balance constraint:

$\underset{i\&Element;S_G^t}{\mathrm{\&Sigma;}}{P}_{\mathrm{Gi}}^t=P_{\mathrm{net}}-P_{\mathrm{dh}1},i\&Element;S_G^t,t\&Element;S_T$

(2). the definition of exerting oneself of the little power supply of controllable type:

$P_{\mathrm{Gi}}^t=B_{\mathrm{Gi}}^1+\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{D}_{\mathrm{Gi}}^{t,k},i\&Element;S_G^t,t\&Element;S_T$

(3). the little power supply partition running ownership of controllable type marker bit mutual exclusion condition:

$\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,k}=1,i\&Element;S_G^t,t\&Element;S_T$

Inequality constrain g (x u) comprising:

(1). the little power supply segmentation of the controllable type value defined of exerting oneself

$\underset{j=k+1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,j}\&le;\frac{D_{\mathrm{Gi}}^{t,k}}{B_{\mathrm{Gi}}^{k+1}-B_{\mathrm{Gi}}^k}\&le;\underset{j=k}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,j},i\&Element;S_G^t,t\&Element;S_T,k=1...L_{\mathrm{Gi}}$

Wherein, each symbol definition is as follows:

Be in the little power supply set of controllable type of open state for this period; S _IBe the little power supply set of uncontrollable type, S _LFor internal load set, f (x) be objective function,

For the little power supply cost curve of controllable type parameter, For the little power supply sectional curve of controllable type home state,

Be the little power supply sectional curve of controllable type value state, L _GiBe the little power supply cost curve of controllable type segments, K _OMiFor the little power supply operation expense of controllable type,

Exert oneself for the little power supply of controllable type is meritorious,

Be net load power;

F) as not satisfying in the step e)

Then calculate the available maximum discharge power P of energy-storage units _{Dh max}, its calculating formula is:

$P_{\mathrm{dh}\max }=\min (\frac{\left(\frac{\mathrm{SOS}-{\mathrm{SOS}}_{\min }}{2}\right)\&CenterDot;C_{\mathrm{stor}}}{\mathrm{\&Delta;t}},P_{\mathrm{dh}\_\max })$

P _{Dh max}-energy-storage units discharge power,

The energy storage state that the SOS-energy-storage units is current,

C _Stor-energy-storage units capacity, kWh,

P _{Dh_max}The maximum of-energy-storage units allows discharge power, kW,

And further judge whether to satisfy

If satisfy

Then the little output power of power supply instruction of each controllable type is

The power instruction of off-load simultaneously is 0, and no cutting load instruction obtains little economy operation of power grid scheduling scheme of this period, if do not satisfy

Then forward step g) to;

G) set up load and can interrupt Optimization Model, determine the output power instruction and the load excision instruction of the little power supply of each controllable type according to the model solution result, simultaneously the off-load power instruction is 0 to obtain little economy operation of power grid scheduling scheme of this period, and wherein can to interrupt Optimization Model as follows for load:

max?f(x，u)

$s.t\left\{\begin{array}{cc}\begin{array}{c}h(x,u)=0\\ \underset{\&OverBar;}{g}\&le;g(x,u)\&le;\stackrel{\&OverBar;}{g}\end{array}& x\&Element;R,u\&Element;\{0,1\}\end{array}\right.$

Wherein:

Optimization variable x, u is defined as:

$\left\{\begin{array}{cc}\begin{array}{c}x=P_{\mathrm{Gi}}^t,D_{\mathrm{Gi}}^{t,k},P_{\mathrm{stor}}^t,D_{\mathrm{Stor}}^k\\ u=x_i^t,v_{\mathrm{Gi}}^{t,k},u_{\mathrm{stor}}^t\end{array}& i\&Element;S_G^t,t\&Element;S_T\end{array}\right.$

Objective function f (x u) is defined as:

$f(x,u)=\underset{i\&Element;S_L^t}{\mathrm{\&Sigma;}}(p_i^t{x}_i^t-b_i^t\stackrel{\&OverBar;}{x_i^t})\&CenterDot;P_{\mathrm{Li}}^t+\underset{t\&Element;S_L-S_L^t}{\mathrm{\&Sigma;}}\left(c{P}_{\mathrm{Li}}^t\right)$

$-(\underset{i\&Element;S_G^t}{\mathrm{\&Sigma;}}(A_{\mathrm{Gi}}^1+\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}\left(F_{\mathrm{Gi}}^k{D}_{\mathrm{Gi}}^{t,k}\right)+K_{\mathrm{OMi}}{P}_{\mathrm{Gi}}^t)+f(u_{\mathrm{stor}}^t,P_{\mathrm{stor}}^t))$

Wherein,

Represent for the linearization of energy-storage units discharge penalty function, be defined as:

$f(u_{\mathrm{stor}}^t,P_{\mathrm{stor}}^t)=u_{\mathrm{sotr}}^t{A}_{\mathrm{Stor}}^1+\underset{k=1}{\overset{L_S}{\mathrm{\&Sigma;}}}\left(F_{\mathrm{Stor}}^k{D}_{\mathrm{Stor}}^k\right)$

Energy-storage units discharge penalty function

Be designed to

$C\left(P_{\mathrm{stor}}^t\right)=\mathrm{\&delta;}\&CenterDot;P_{\mathrm{stor}}^t\&CenterDot;\mathrm{\&Delta;t}$

δ＝a ₁+a ₂·dSOS+a ₃·P _dh+a ₄·dSOS·P _dh+a ₅·dSOS ²

dSOS＝SOS-SOS ^min

Equality constraint h (x u) comprising:

(1). the power-balance constraint:

$\underset{i\&Element;S_G^t}{\mathrm{\&Sigma;}}{P}_{\mathrm{Gi}}^t+\underset{i\&Element;S_I}{\mathrm{\&Sigma;}}{P}_{\mathrm{Ii}}^t+P_{\mathrm{Stor}}^t=\underset{i\&Element;s_L^t}{\mathrm{\&Sigma;}}{x}_i^t{P}_{\mathrm{Li}}^t+\underset{i\&Element;S_L-S_L^t}{\mathrm{\&Sigma;}}{P}_{\mathrm{Li}}^t,i\&Element;S_G^t,t\&Element;S_T$

(2). the definition of exerting oneself of the little power supply of controllable type:

$P_{\mathrm{Gi}}^t=B_{\mathrm{Gi}}^1+\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{D}_{\mathrm{Gi}}^{t,k},i\&Element;S_G^t,t\&Element;S_T$

(3). the little power supply partition running ownership of controllable type marker bit mutual exclusion condition:

$\underset{k=1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,k}=1,i\&Element;S_G^t,t\&Element;S_T$

(4). the energy-storage units definition of exerting oneself:

$P_{\mathrm{Stor}}^t=u_{\mathrm{sotr}}^t{B}_{\mathrm{Stor}}^1+\underset{k=1}{\overset{L_S}{\mathrm{\&Sigma;}}}{D}_S^k$

(5). energy-storage units partition running ownership marker bit mutual exclusion condition:

$\underset{k=1}{\overset{L_S}{\mathrm{\&Sigma;}}}{v}_{\mathrm{stor}}^k=u_{\mathrm{stor}}^t$

Inequality constrain g (x u) comprising:

(1). the little power supply segmentation of the controllable type value defined of exerting oneself:

$\underset{j=k+1}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,j}\&le;\frac{D_{\mathrm{Gi}}^{t,k}}{B_{\mathrm{Gi}}^{k+1}-B_{\mathrm{Gi}}^k}\&le;\underset{j=k}{\overset{L_{\mathrm{Gi}}}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Gi}}^{t,j},i\&Element;S_G^t,t\&Element;S_T,k=1...L_{\mathrm{Gi}}$

(2). the energy-storage units segmentation value defined of exerting oneself:

$\underset{j=k+1}{\overset{L_S}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Stor}}^j\&le;\frac{D_{\mathrm{Stor}}^k}{B_{\mathrm{Stor}}^{k+1}-B_{\mathrm{Stor}}^k}\&le;\underset{j=k}{\overset{L_S}{\mathrm{\&Sigma;}}}{v}_{\mathrm{Stor}}^j,k=1...L_{\mathrm{Stor}}$

Wherein, each symbol definition is as follows:

Be in the little power supply set of controllable type of open state for this period; S _IFor the set of the little power supply of uncontrollable type, SL be the internal load set, For the set of inner interruptible load, f (x, u) be objective function,

Be the contract electricity price signed of i interruptible load and little power grid operation merchant (unit/kWh),

α _iBe the electricity price coefficient of interruptible load, for discount formula interruptible load, α _i≤ 1, for height reparations interruptible load, α _i=1, p ₀Be the sale of electricity electricity price (unit/kWh),

Be the interruptible load unit damages of being had no progeny in little electrical network (unit/kWh), b _i=β _ip ₀, β _iBe to interrupt the reparations coefficient, for discount formula interruptible load, β _i=0, the damages of having no progeny in promptly not having,

For the load,

Be the state that cut-offs of i interruptible load, 1-does not disconnect, the 0-disconnection,

The expression negate; ,

For the little power supply cost curve of controllable type parameter,

For energy-storage units penalty function parameter of curve,

For the little power supply sectional curve of controllable type home state,

For energy-storage units discharge penalty function sectional curve home state,

For the little power supply sectional curve of controllable type value state,

Be energy-storage units discharge penalty function sectional curve value state, L _GiBe the little power supply cost curve of controllable type segments, L _SBe energy-storage units discharge penalty function curve segmentation number, K _OMiFor the little power supply operation expense of controllable type,

Exert oneself for the little power supply of controllable type is meritorious;

H) do not satisfy P when net load power _Net, further judge whether to satisfy SOS＜SOS at 〉=0 o'clock _Max1, as not satisfying SOS＜SOS _Max1, then the little output power of power supply instruction of each controllable type is

The power instruction of off-load simultaneously is

No cutting load instruction obtains little economy operation of power grid scheduling scheme of this period, as satisfies SOS＜SOS _Max1, then calculate the maximum charge power P that energy-storage units allows _{Ch max}, and forward step I to), wherein, P _{Ch max}Calculating formula be:

$P_{\mathrm{ch}\max }=\min (\frac{({\mathrm{SOS}}_{\max 1}-\mathrm{SOS})\&CenterDot;C_{\mathrm{Stor}}}{\mathrm{\&Delta;t}},P_{\mathrm{ch}\_\max })$

P _{Ch max}-energy-storage units charge power;

The energy storage state that the SOS-energy-storage units is current;

C _Stor-energy-storage units capacity, kWh;

P _{Ch_max}The maximum of-energy-storage units allows charge power, kW;

I) judge whether to satisfy

As satisfying

Then the little output power of power supply instruction of each controllable type is The power instruction of off-load simultaneously is 0, and no cutting load instructs, and obtains little economy operation of power grid scheduling scheme of this period; As not satisfying

Then the little output power of power supply instruction of each controllable type is

The power instruction of off-load simultaneously is

No cutting load instructs, and obtains little economy operation of power grid scheduling scheme of this period.

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