CN105069539B - Sale of electricity company containing deferrable load and distributed generation resource Optimization Scheduling a few days ago - Google Patents

Sale of electricity company containing deferrable load and distributed generation resource Optimization Scheduling a few days ago Download PDF

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CN105069539B
CN105069539B CN201510552910.5A CN201510552910A CN105069539B CN 105069539 B CN105069539 B CN 105069539B CN 201510552910 A CN201510552910 A CN 201510552910A CN 105069539 B CN105069539 B CN 105069539B
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mrow
msubsup
load
munderover
sale
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CN105069539A (en
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顾伟
高君
任佳依
朱俊澎
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Southeast University
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Southeast University
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    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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Abstract

The invention discloses a kind of sale of electricity company containing deferrable load and distributed generation resource, Optimization Scheduling, its step include a few days ago：1）Deferrable load in power distribution network is divided into according to part throttle characteristics and directly controls load, two class of interruptible load；2）According to the operation binding feature of all kinds of deferrable loads, distributed generation resource operation binding feature, the constraint of Day-ahead electricity market power purchase, active power distribution network power-balance constraint, income is run with sale of electricity company a few days ago and is up to Optimized Operation target, carries out sale of electricity company Optimized Operation a few days ago.Technical solution provided by the invention can realize sale of electricity company containing deferrable load and distributed generation resource under Power Market Optimized Operation a few days ago, in the case where meeting customer power supply demand and satisfaction, peak load shifting, mitigate operation of power networks pressure, the operating cost of sale of electricity company is reduced, realizes that sale of electricity company runs the maximization of income a few days ago.

Description

Sale of electricity company containing deferrable load and distributed generation resource Optimization Scheduling a few days ago
Technical field
The present invention relates to the Optimized Operation field of sale of electricity company, is more particularly to one kind and contains deferrable load and distributed generation resource Sale of electricity company Optimization Scheduling a few days ago.
Background technology
Directly control load and refer to that sale of electricity company was closed or followed by remote control in system loading peak period Ring control user electrical equipment, directly control load-as be suitable for resident and small business users, and power failure pair in short-term The power supply quality of the controllable load of participation influences less, to be typically the load of thermal energy storage ability, such as air-conditioning With water heater etc.；The user of participation can obtain certain interruption compensation, and it is a kind of simple and practical to directly control load Demand side management means, at home and abroad have been obtained for successfully implementing.
Interruptable-Load Management is exactly to sign interruptible load contract by Utilities Electric Co. and user, in POWER SYSTEM EMERGENCY feelings The supply of electric power to user is interrupted in Kuang Xia Utilities Electric Co.s, but gives the certain economic compensation of user as electric system demand side pipe The important component of reason, Interruptable-Load Management utilize the electricity consumption flexibility of user, and power supply during alleviating load peak is tight Situation, to avoid or reduce expensive spinning reserve and meet that power demand increases and the electricity generation investment of needs, favorably In the safety and economic operation of electric system, weaken the influence of market presence in electricity market, spike of controlling price.
In recent years, under the influence of the strategy of sustainable development, environmental degradation and energy shortage gradually attract people's attention, point Cloth power supply is gradually subject to people to pay close attention to because its friendly to environment.In addition, as the continuous of electricity marketization process adds It hurry up, not only requirement of the user to power quality and electricity consumption reliability is continuously improved, but also the growth of electrical energy demands is very rapid, oneself Growth rate through significantly larger than plan.Therefore, in order to meet following ever-increasing electricity needs, distributed generation resource is used as can Regenerated green energy resource, gradually shows its bright application prospect
The content of the invention
Technical problem：The technical problems to be solved by the invention are：There is provided a kind of containing deferrable load and distributed generation resource Optimization Scheduling, this method can realize sale of electricity company to accessing deferrable load and distributed electrical therein a few days ago for sale of electricity company Effective scheduling in source, can effectively reduce the operating cost of sale of electricity company, improve the security and stability of system operation.
Technical solution：The Optimization Scheduling a few days ago of the sale of electricity company containing deferrable load and distributed generation resource of the present invention, bag Include following step：
Deferrable load in power distribution network is divided into by step 1) according to part throttle characteristics directly controls load, two class of interruptible load；
Step 2) runs income with sale of electricity company and is up to Optimized Operation target a few days ago, to directly control load, can interrupt Load, distributed generation resource are Optimized Operation object, with maximum control count constraint, maximum continuous controllable period of time constraint, minimum even Reforwarding row time-constrain, interruptible load constraint, distributed generation resource units limits, a few days ago distributed generation resource Climing constant, electric power Market power purchase constraint, active power distribution network power-balance constraint carry out Optimized Operation a few days ago for constraints.
Further, in the method for the present invention, the sale of electricity company runs the maximum Optimized Operation target of income and is a few days ago：
In formula：CDAIncome is run a few days ago for sale of electricity company；Δ T is time interval；T is dispatching cycle；For next day t when The sale of electricity electricity price of section；For the electricity sales amount of period next day t；For the electricity market purchase electricity price of period next day t；For The electricity market power purchase electricity of period next day t；K is the group number for directly controlling load；For period next day t kth group load whether Controlled decision variable, 1 represents control, and 0 represents not control；Obtained for period next day t kth group by control load Compensation；The load reduction of load is controlled for period next day t kth group；N is the number of interruptible load species； The compensation obtained for next day the i-th class interruptible load in t periods reduction plans；It is next day the i-th class interruptible load in t The load reduction of section；NDG is the quantity of distributed generation resource in sale of electricity company；ai、bi、ciRespectively i-th distributed generation resource Zero degree, once, secondary output cost coefficient；For i-th distributed generation resource of next day the t periods generated energy.
Further, in the method for the present invention, the maximum controls the count constraint to be：
In formula：NkThe maximum allowable control number of load is directly controlled for kth group；
The maximum continuous controllable period of time is constrained to：
In formula：For kth group load the t periods continuous controllable period of time；Represent maximum continuous controllable period of time；
The minimum continuous operating time is constrained to：
In formula：For kth group load the t periods the continuous uncontrolled time；For the minimum continuous fortune of kth group load The row time；
The interruptible load is constrained to：
In formula：The respectively upper and lower limit of i-th class interruptible load user's interruptible load；
The distributed generation resource units limits are：
In formula：The output power bound of respectively i-th distributed generation resource；
The distributed generation resource Climing constant is：
In formula：For output of i-th distributed generation resource in period t+1；UPiFor the upward of i-th distributed generation resource Creep speed limits；DNiFor the downward creep speed limitation of i-th distributed generation resource.
The Day-ahead electricity market power purchase is constrained to：
In formula：For sale of electricity company Day-ahead electricity market the power purchase upper limit；
The active power distribution network power-balance constraint is：
In formula：For the payback load in the t periods a few days ago.
Further, in the method for the present invention, the bounce-back in the active power distribution network power-balance constraint in the t periods a few days ago is born LotusObtained by following formula：
In formula：For kth group load the t-1 periods spatial load forecasting amount；It is kth group load in t-2 The spatial load forecasting amount of period；For kth group load the t-3 periods spatial load forecasting amount.
Beneficial effect：Compared with the prior art, the present invention has the following advantages：
In current sale of electricity company optimisation technique method, simply distributed generation resource is individually considered in sale of electricity company programming With the effect of deferrable load, the scheduling resource collectively as sale of electricity company by distributed generation resource and deferrable load is not accounted for, Both operation characteristics are not bound with, both uniformly include to the Optimized Operation of sale of electricity company, and technical side provided by the invention Case is directed primarily to Optimized Operation aspect of the sale of electricity company to distributed generation resource and deferrable load.The technical solution is in electric power city Under environment, by the interruptible load in deferrable load, directly control load and distributed generation resource and uniformly include sale of electricity company In Optimized Operation, by with complementary deferrable load and distributed generation resource United Dispatching, this method scheduling tool more independent than three There is the economy of higher.In addition, for load user, by carrying out certain compensation, Ke Yichong to deferrable load user Divide and transfer their enthusiasm；For sale of electricity company, it is distributed and divides by electricity consumption of the reasonable arrangement deferrable load in next day The start and stop of cloth power supply, generated energy, effectively improve the power-balance of sale of electricity company, reduce spare needed for sale of electricity company Cost, is conducive to the security and stability of raising system.In electricity price peak period, this method reduces the use of load by deferrable load Electricity and the generated energy for increasing distributed generation resource, reduce power purchase of the sale of electricity company in electricity price peak period from Day-ahead electricity market Amount, so as to effectively reduce the operating cost of sale of electricity company.
Brief description of the drawings
Fig. 1 is the method flow diagram that technical solution of the present invention provides.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, below in conjunction with attached drawing to the present invention into Row in depth describes in detail.
The Optimization Scheduling a few days ago of the sale of electricity company containing deferrable load and distributed generation resource of the present invention, including following steps Suddenly：
Deferrable load in power distribution network is divided into by step 1) according to part throttle characteristics directly controls load, two class of interruptible load；
Step 2) runs income with sale of electricity company and is up to Optimized Operation target a few days ago, to directly control load, can interrupt Load, distributed generation resource are Optimized Operation object, with maximum control count constraint, maximum continuous controllable period of time constraint, minimum even Reforwarding row time-constrain, interruptible load constraint, distributed generation resource units limits, a few days ago distributed generation resource Climing constant, electric power Market power purchase constraint, active power distribution network power-balance constraint carry out Optimized Operation a few days ago for constraints.
Further, in the method for the present invention, the sale of electricity company runs the maximum Optimized Operation target of income and is a few days ago：
In formula：CDAIncome is run a few days ago for sale of electricity company；Δ T is time interval；T is dispatching cycle；For next day t when The sale of electricity electricity price of section；For the electricity sales amount of period next day t；For the electricity market purchase electricity price of period next day t；To be secondary The electricity market power purchase electricity of t periods day；K is the group number for directly controlling load；For period next day t kth group load whether by The decision variable of control, 1 represents control, and 0 represents not control；The benefit obtained for period next day t kth group by control load Repay；The load reduction of load is controlled for period next day t kth group；N is the number of interruptible load species；For The compensation that next day the i-th class interruptible load is obtained in t periods reduction plans；It is next day the i-th class interruptible load in the t periods Load reduction；NDG is the quantity of distributed generation resource in sale of electricity company；ai、bi、ciThe zero of respectively i-th distributed generation resource It is secondary, once, secondary output cost coefficient；For i-th distributed generation resource of next day the t periods generated energy.
Further, in the method for the present invention, the maximum controls the count constraint to be：
In formula：NkThe maximum allowable control number of load is directly controlled for kth group；
The maximum continuous controllable period of time is constrained to：
In formula：For kth group load the t periods continuous controllable period of time；Represent maximum continuous controllable period of time；
The minimum continuous operating time is constrained to：
In formula：For kth group load the t periods the continuous uncontrolled time；For the minimum continuous fortune of kth group load The row time；
The interruptible load is constrained to：
In formula：The respectively upper and lower limit of i-th class interruptible load user's interruptible load；
The distributed generation resource units limits are：
In formula：The output power bound of respectively i-th distributed generation resource；
The distributed generation resource Climing constant is：
In formula：For output of i-th distributed generation resource in period t+1；UPiFor the upward of i-th distributed generation resource Creep speed limits；DNiFor the downward creep speed limitation of i-th distributed generation resource.
The Day-ahead electricity market power purchase is constrained to：
In formula：For sale of electricity company Day-ahead electricity market the power purchase upper limit；
The active power distribution network power-balance constraint is：
In formula：For the payback load in the t periods a few days ago.
Further, in the method for the present invention, the bounce-back in the active power distribution network power-balance constraint in the t periods a few days ago is born LotusObtained by following formula：
In formula：For kth group load the t-1 periods spatial load forecasting amount；It is kth group load in t-2 The spatial load forecasting amount of period；For kth group load the t-3 periods spatial load forecasting amount.
Above-described embodiment is only the preferred embodiment of the present invention, it should be pointed out that：For the ordinary skill of the art For personnel, without departing from the principle of the present invention, some improvement and equivalent substitution can also be made, these are to the present invention Claim be improved with the technical solution after equivalent substitution, each fall within protection scope of the present invention.

Claims (3)

  1. A kind of 1. sale of electricity company containing deferrable load and distributed generation resource Optimization Scheduling a few days ago, it is characterised in that：This method Comprise the following steps：
    Deferrable load in power distribution network is divided into by step 1) according to part throttle characteristics directly controls load, two class of interruptible load；
    Step 2) runs income with sale of electricity company and is up to Optimized Operation target a few days ago, with directly control load, interruptible load, Distributed generation resource is Optimized Operation object, with maximum control count constraint, maximum continuous controllable period of time constraint, minimum continuous operation Time-constrain, interruptible load constraint, the purchase of distributed generation resource units limits, distributed generation resource Climing constant, Day-ahead electricity market Electricity constraint, active power distribution network power-balance constraint carry out Optimized Operation a few days ago for constraints；
    Sale of electricity company runs the maximum Optimized Operation target of income a few days ago：
    <mfenced open = "" close = ""> <mtable> <mtr> <mtd> <mrow> <msup> <mi>C</mi> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msup> <mo>=</mo> <mi>&amp;Delta;</mi> <mi>T</mi> <mo>{</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>T</mi> </munderover> <msubsup> <mi>&amp;rho;</mi> <mrow> <mi>s</mi> <mo>.</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msubsup> <msubsup> <mi>P</mi> <mrow> <mi>s</mi> <mo>.</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msubsup> <mo>-</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>T</mi> </munderover> <msubsup> <mi>&amp;rho;</mi> <mrow> <mi>b</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msubsup> <msubsup> <mi>P</mi> <mrow> <mi>b</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msubsup> <mo>-</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>K</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>T</mi> </munderover> <msubsup> <mi>x</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msubsup> <msubsup> <mi>r</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msubsup> <msubsup> <mi>DLC</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msubsup> <mo>-</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>T</mi> </munderover> <msubsup> <mi>&amp;lambda;</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msubsup> <msubsup> <mi>IL</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msubsup> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>-</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>T</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mrow> <mi>N</mi> <mi>D</mi> <mi>G</mi> </mrow> </munderover> <mo>&amp;lsqb;</mo> <msub> <mi>a</mi> <mi>i</mi> </msub> <mo>+</mo> <msub> <mi>b</mi> <mi>i</mi> </msub> <mo>&amp;CenterDot;</mo> <msubsup> <mi>P</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>G</mi> </mrow> </msubsup> <mo>+</mo> <msub> <mi>c</mi> <mi>i</mi> </msub> <mo>&amp;CenterDot;</mo> <msup> <mrow> <mo>(</mo> <msubsup> <mi>P</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>G</mi> </mrow> </msubsup> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mo>&amp;rsqb;</mo> <mo>}</mo> </mrow> </mtd> </mtr> </mtable> </mfenced>
    In formula：CDAIncome is run a few days ago for sale of electricity company；Δ T is time interval；T is dispatching cycle；For period next day t Sale of electricity electricity price；For the electricity sales amount of period next day t；For the electricity market purchase electricity price of period next day t；For next day t when The electricity market power purchase electricity of section；K is the group number for directly controlling load；Whether controlled for period next day t kth group load Decision variable, 1 represent control, 0 represent do not control；The compensation obtained for period next day t kth group by control load；The load reduction of load is controlled for period next day t kth group；N is the number of interruptible load species；For next day The compensation that i-th class interruptible load is obtained in t periods reduction plans；For next day the i-th class interruptible load bearing in the t periods Lotus reduction；NDG is the quantity of distributed generation resource in sale of electricity company；ai、bi、ciThe zero degree of respectively i-th distributed generation resource, Once, secondary output cost coefficient；For i-th distributed generation resource of next day the t periods generated energy.
  2. 2. the sale of electricity company described in accordance with the claim 1 containing deferrable load and distributed generation resource Optimization Scheduling a few days ago, its It is characterized in that：
    The maximum controls the count constraint to be：
    <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>T</mi> </munderover> <msubsup> <mi>x</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msubsup> <mo>&amp;le;</mo> <msub> <mi>N</mi> <mi>k</mi> </msub> </mrow>
    In formula：NkThe maximum allowable control number of load is directly controlled for kth group；
    The maximum continuous controllable period of time is constrained to：
    <mrow> <msubsup> <mi>S</mi> <mi>t</mi> <mrow> <mi>o</mi> <mi>f</mi> <mi>f</mi> <mo>,</mo> <mi>k</mi> </mrow> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>T</mi> <mi>max</mi> <mrow> <mi>o</mi> <mi>f</mi> <mi>f</mi> <mo>,</mo> <mi>k</mi> </mrow> </msubsup> </mrow>
    In formula：For kth group load the t periods continuous controllable period of time；Represent maximum continuous controllable period of time；
    The minimum continuous operating time is constrained to：
    <mrow> <msubsup> <mi>S</mi> <mi>t</mi> <mrow> <mi>o</mi> <mi>n</mi> <mo>,</mo> <mi>k</mi> </mrow> </msubsup> <mo>&amp;GreaterEqual;</mo> <msubsup> <mi>T</mi> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> <mrow> <mi>o</mi> <mi>n</mi> <mo>,</mo> <mi>k</mi> </mrow> </msubsup> </mrow>
    In formula：For kth group load the t periods the continuous uncontrolled time；During continuous operation minimum for kth group load Between；
    The interruptible load is constrained to：
    <mrow> <msubsup> <mi>IL</mi> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> <mi>i</mi> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>IL</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>IL</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> <mi>i</mi> </msubsup> </mrow>
    In formula：The respectively upper and lower limit of i-th class interruptible load user's interruptible load；
    The distributed generation resource units limits are：
    <mrow> <msubsup> <mi>P</mi> <mi>i</mi> <mi>min</mi> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>P</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>G</mi> </mrow> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>P</mi> <mi>i</mi> <mi>max</mi> </msubsup> </mrow>
    In formula：The output power bound of respectively i-th distributed generation resource；
    The distributed generation resource Climing constant is：
    <mrow> <msubsup> <mi>P</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> <mo>+</mo> <mn>1</mn> </mrow> <mrow> <mi>D</mi> <mi>G</mi> </mrow> </msubsup> <mo>-</mo> <msubsup> <mi>P</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>G</mi> </mrow> </msubsup> <mo>&amp;le;</mo> <msub> <mi>UP</mi> <mi>i</mi> </msub> </mrow>
    <mrow> <msubsup> <mi>P</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>G</mi> </mrow> </msubsup> <mo>-</mo> <msubsup> <mi>P</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> <mo>+</mo> <mn>1</mn> </mrow> <mrow> <mi>D</mi> <mi>G</mi> </mrow> </msubsup> <mo>&amp;le;</mo> <msub> <mi>DN</mi> <mi>i</mi> </msub> </mrow>
    In formula：For output of i-th distributed generation resource in period t+1；UPiFor the upward climbing of i-th distributed generation resource Rate limit；DNiFor the downward creep speed limitation of i-th distributed generation resource；
    The Day-ahead electricity market power purchase is constrained to：
    <mrow> <msubsup> <mi>P</mi> <mrow> <mi>b</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>P</mi> <mi>b</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msubsup> </mrow>
    In formula：For sale of electricity company Day-ahead electricity market the power purchase upper limit；
    The active power distribution network power-balance constraint is：
    <mrow> <msubsup> <mi>P</mi> <mrow> <mi>b</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msubsup> <mo>-</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <msubsup> <mi>IL</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msubsup> <mo>-</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>K</mi> </munderover> <msubsup> <mi>DLC</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msubsup> <mo>+</mo> <msubsup> <mi>PDA</mi> <mi>t</mi> <mrow> <mi>R</mi> <mi>B</mi> </mrow> </msubsup> <mo>=</mo> <msubsup> <mi>P</mi> <mrow> <mi>s</mi> <mo>.</mo> <mi>t</mi> </mrow> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msubsup> </mrow>
    In formula：For the payback load in the t periods a few days ago.
  3. 3. the sale of electricity company described in accordance with the claim 2 containing deferrable load and distributed generation resource Optimization Scheduling a few days ago, its It is characterized in that：
    Payback load in the active power distribution network power-balance constraint in the t periods a few days agoObtained by following formula：
    <mrow> <msubsup> <mi>PDA</mi> <mi>t</mi> <mrow> <mi>R</mi> <mi>B</mi> </mrow> </msubsup> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>K</mi> </munderover> <mrow> <mo>(</mo> <mn>0.6</mn> <msubsup> <mi>DLC</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>t</mi> <mo>-</mo> <mn>1</mn> </mrow> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msubsup> <mo>+</mo> <mn>0.2</mn> <msubsup> <mi>DLC</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>t</mi> <mo>-</mo> <mn>2</mn> </mrow> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msubsup> <mo>+</mo> <mn>0.1</mn> <msubsup> <mi>DLC</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>t</mi> <mo>-</mo> <mn>3</mn> </mrow> <mrow> <mi>D</mi> <mi>A</mi> </mrow> </msubsup> <mo>)</mo> </mrow> </mrow>
    In formula：For kth group load the t-1 periods spatial load forecasting amount；It is kth group load in the t-2 periods Spatial load forecasting amount；For kth group load the t-3 periods spatial load forecasting amount.
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