CN109325677B - Incentive type demand response method based on metering mechanism - Google Patents

Incentive type demand response method based on metering mechanism Download PDF

Info

Publication number
CN109325677B
CN109325677B CN201811051906.0A CN201811051906A CN109325677B CN 109325677 B CN109325677 B CN 109325677B CN 201811051906 A CN201811051906 A CN 201811051906A CN 109325677 B CN109325677 B CN 109325677B
Authority
CN
China
Prior art keywords
response
power grid
value
month
scoring unit
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201811051906.0A
Other languages
Chinese (zh)
Other versions
CN109325677A (en
Inventor
夏勇
丁一
惠红勋
陈振宇
栾开宁
崔文琪
曲欣瑶
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang University ZJU
State Grid Jiangsu Electric Power Co Ltd
Original Assignee
Zhejiang University ZJU
State Grid Jiangsu Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhejiang University ZJU, State Grid Jiangsu Electric Power Co Ltd filed Critical Zhejiang University ZJU
Priority to CN201811051906.0A priority Critical patent/CN109325677B/en
Publication of CN109325677A publication Critical patent/CN109325677A/en
Application granted granted Critical
Publication of CN109325677B publication Critical patent/CN109325677B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Marketing (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Operations Research (AREA)
  • Development Economics (AREA)
  • Quality & Reliability (AREA)
  • Educational Administration (AREA)
  • Game Theory and Decision Science (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses an incentive type demand response method based on a metering mechanism. Setting a power grid demand side scoring unit to provide four auxiliary services, wherein the four auxiliary services are respectively automatic power generation control, rotary standby, hot standby and electricity utilization operation of paid peak regulation; the power grid demand side scoring unit acquires respective response values of the four auxiliary services through acquiring power grid demand side data: and finally, calculating the monthly total response value of the power grid demand side by the power grid demand side scoring unit. According to the invention, by arranging the power grid demand side scoring unit, the response value can be increased, the successful response times can be increased, the failed response times can be reduced, and the demand response under the excitation of the power grid can be realized.

Description

Incentive type demand response method based on metering mechanism
Technical Field
The invention relates to a power grid demand response implementation method, in particular to an excitation type demand response method based on a metering mechanism.
Background
The basic condition of safe and stable operation of the power system is that the generated energy and the power consumption are kept balanced in real time, and the random fluctuation of the power load is inevitable. In order to cope with random fluctuation of loads, a generator set in the power system needs to adjust the power generation amount in time to ensure balance of the power system, and the adjustment is called as auxiliary service. The demand response is to keep the balance of the power system by adjusting the power consumption of the load, namely, reducing the power consumption of the load can be equivalent to increasing the generating capacity of the generator set, so that the demand response load can also participate in the auxiliary service of the power system. When the auxiliary service capacity of the generator set is insufficient or the adjustment cost is extremely high, the auxiliary service is more suitable to be provided by using the demand response load. However, the electricity market in China is not released yet, and load resources cannot participate in auxiliary services, so that the development of demand response is hindered.
Disclosure of Invention
In view of the above problems in the background art, the present invention provides an incentive type demand response method based on a metering mechanism, which can implement an equivalent incentive measure in a metering value manner under the condition of incomplete power market construction, so that load resources can participate in demand response, and provide an auxiliary service for a power system, and the implementation manner is as follows:
the invention adopts the following technical scheme:
1) setting a scoring unit at a power grid demand side to provide four auxiliary services, wherein the four auxiliary services are respectively power utilization operations of a generator set with automatic power generation control, rotary standby, hot standby and paid peak regulation;
2) the power grid demand side scoring unit acquires respective response values of the four auxiliary services through acquiring power grid demand side data:
2.1) the power grid demand side scoring unit obtains a monthly response value of the automatic power generation control auxiliary service, and specifically adopts a calculation formula to calculate:
Figure BDA0001794774750000011
wherein the content of the first and second substances,
Figure BDA0001794774750000012
the total response value of one month for the scoring unit on the power grid demand side to participate in the automatic power generation control auxiliary service, day is the serial number of the day, D is the total number of days of the month, T is the serial number of the time period in one day, T is the total number of the time period in one day,
Figure BDA0001794774750000013
response success metering value Q for scoring unit on power grid demand side participating in automatic power generation control auxiliary servicetIs this month whenDemand response at the t-th time period of the day before;
2.2) the power grid demand side scoring unit obtains a monthly response value of the rotary standby auxiliary service, and the monthly response value is calculated by adopting a calculation formula:
Figure BDA0001794774750000021
wherein the content of the first and second substances,
Figure BDA0001794774750000022
the total response value of one month of the scoring unit participating in the rotary standby auxiliary service at the power grid demand side is given by day, D is the total number of days of the month, T is the sequence number of the time period in one day, T is the total number of the time period in one day,
Figure BDA0001794774750000023
the scoring unit on the demand side of the power grid participates in the basic metering value of the rotary standby auxiliary service,
Figure BDA0001794774750000024
a response success metering value for the power grid demand side scoring unit participating in the rotary standby auxiliary service, alpha is an increment coefficient of the power grid demand side scoring unit participating in the rotary standby auxiliary service, QtDemand response for the t-th period of the current day of the month;
2.3) the power grid demand side scoring unit obtains a hot standby auxiliary service monthly response value, and the hot standby auxiliary service monthly response value is calculated by adopting a calculation formula:
Figure BDA0001794774750000025
wherein the content of the first and second substances,
Figure BDA0001794774750000026
the total response value of one month of the scoring unit participating in the hot standby auxiliary service at the power grid demand side is given by day, D is the total number of days of the month, T is the sequence number of the time period in one day, T is the total number of the time period in one day,
Figure BDA0001794774750000027
the scoring unit on the demand side of the power grid participates in the basic metering value of the hot standby auxiliary service,
Figure BDA0001794774750000028
a response success metering value for the power grid demand side scoring unit participating in the hot standby auxiliary service, beta is a value-added coefficient for the power grid demand side scoring unit participating in the hot standby auxiliary service, QtDemand response for the t-th period of the current day of the month;
2.4) the power grid demand side scoring unit obtains a monthly response value of the compensated peak regulation auxiliary service, and the monthly response value is calculated by adopting a calculation formula:
Figure BDA0001794774750000029
wherein the content of the first and second substances,
Figure BDA00017947747500000210
the total response value of one month for the scoring unit on the power grid demand side participating in the compensated peak regulation auxiliary service is given, day is the serial number of the day, D is the total number of days of the month, T is the serial number of the time period in one day, T is the total number of the time period in one day,
Figure BDA00017947747500000211
the scoring unit on the power grid demand side participates in the basic metering value of the paid peak regulation auxiliary service,
Figure BDA00017947747500000212
response success metering values of scoring units participating in the paid peak regulation auxiliary service on the power grid demand side are measured,
Figure BDA00017947747500000213
response failure measurement value Q for participating in paid peak regulation auxiliary service of scoring unit on power grid demand sidetDemand response for the t-th period of the current day of the month;
3) and finally, calculating a monthly total response value of the power grid demand side by a power grid demand side scoring unit:
Figure BDA0001794774750000031
wherein G ismonthScoring a unit total one month response value of a power grid demand side, wherein day is a serial number of days, D is a total number of days of the month, T is a serial number of a time period in one day, T is a total number of time periods in one day,
Figure BDA0001794774750000032
Figure BDA0001794774750000033
the response values of the four auxiliary services of automatic power generation control, rotary standby, hot standby and compensated peak regulation are respectively.
According to the method, the data on the power grid demand side are divided into the data corresponding to the four specific auxiliary services, and then the four specific auxiliary services are subjected to different specific calculation in different modes, so that an excitation demand response value can be accurately obtained, and more accurate and effective demand response is realized.
In step 2), the demand response basic metering value is a real number greater than or equal to zero, the demand response success metering value is a real number greater than or equal to zero, the demand response failure metering value is a real number less than or equal to zero, and the absolute value of the demand response failure metering value is constantly less than or equal to the absolute value of the demand response basic metering value.
In the step 2), the monthly response value G obtained by the demand response load unitmonthThe initial value is zero.
Obtaining the total response value G of the middle month of the scoring unit on the power grid demand sidemonthThen, the following treatment is carried out: total response value of G in monthsmonthIf it is greater than zero, the total response value G according to the monthmonthThe electricity charge value is reduced; and if the total response value of the month is less than or equal to zero, clearing the total response value of the month, and not reducing the electricity charge metering value.
And the power grid demand side scoring unit is arranged at the power grid demand side section.
The invention has the following beneficial effects:
the invention can enable the load resources to participate in the auxiliary service of the power system in a metering value mode under the condition of incomplete power market construction, and provides an effective way for implementing demand response.
Specifically, the power grid demand side scoring unit is used for obtaining a demand response basic metering value, increasing the times of successful demand response to obtain a demand response success metering value, reducing the times of failure demand response to reduce a demand response failure metering value, and finally realizing that the power grid demand side scoring unit participates in four auxiliary services of a power system. The four clear auxiliary services can enable flexible load resources to participate in demand response more accurately, and participation scale of demand response is enlarged.
Drawings
Fig. 1 is a diagram of supplementary service category selection of the present invention.
Detailed Description
The following is a further description with reference to the examples and the accompanying drawings.
A fully practical example of the method according to the invention is as follows:
1) specifying the types of ancillary services that a demand response load unit can provide:
the scoring unit at the demand side of the power grid can provide four auxiliary services, namely automatic power generation control, rotary standby, hot standby and paid peak shaving.
2) Processing a metering value mechanism with a scoring unit at the power grid demand side
Assuming that the auxiliary service type is the compensatory peak shaving, the excitation time interval of the metering value is 12:00-13:00, and every 15 minutes is a time interval, the total time interval T in one day is 4, and the auxiliary service metering value comprises three metering values, namely a demand response basic metering value
Figure BDA0001794774750000041
Demand response success metric
Figure BDA0001794774750000042
Demand response failure metric
Figure BDA0001794774750000043
The set values are shown in table 1.
TABLE 1 auxiliary service class and stimulus response value
Figure BDA0001794774750000044
Taking the power grid demand side scoring unit 1 as an example, the demand response Q of the power grid demand side scoring unit in the four periods of the 1 st day of the monthtRespectively at 2 degrees, 5 degrees and 5 degrees, and the demand response is successful in the first 3 periods and fails in the 4 th period. Suppose the daily power consumption condition Q of the scoring unit 1 at the power grid demand side in the monthtThe total days D of the month is 30, the total response value of the scoring unit 1 at the power grid demand side in the month is calculated according to a formula, and the total response value can be obtained
Figure BDA0001794774750000045
Is 18000. If the scoring unit on the power grid demand side only participates in the paid peak regulation auxiliary service and does not participate in other three auxiliary services, according to the formula:
Figure BDA0001794774750000046
calculating the total response value of the scoring unit 1 at the power grid demand side in the month to obtain GmonthIs 18000.
Since the total response value in this month is greater than zero, the electricity charge meter value 1 is reduced according to the 100 response value, and the electricity charge meter value 180 can be reduced in this month by the power grid demand side scoring unit 1.
Therefore, the method can effectively stimulate the scoring unit at the power grid demand side to sign the auxiliary service contract and successfully respond. And in order to obtain more response values, the response quantity of the users sensitive to the response values is increased, so that the reduction of the power consumption in the load spike period is realized, and the purpose of the peak regulation of the power grid in a compensation manner is realized. The invention provides an effective scheme for implementing demand response under the condition of incomplete construction of the power market and realizes the technical effect.

Claims (5)

1. An incentive type demand response method based on a metering mechanism is characterized in that:
1) setting a scoring unit at a power grid demand side to provide four auxiliary services, wherein the four auxiliary services are respectively power utilization operations of a generator set with automatic power generation control, rotary standby, hot standby and paid peak regulation;
2) the power grid demand side scoring unit acquires respective response values of the four auxiliary services through acquiring power grid demand side data:
2.1) the power grid demand side scoring unit obtains a monthly response value of the automatic power generation control auxiliary service, and specifically adopts a calculation formula to calculate:
Figure FDA0001794774740000011
wherein the content of the first and second substances,
Figure FDA0001794774740000012
the total response value of one month for the scoring unit on the power grid demand side to participate in the automatic power generation control auxiliary service, day is the serial number of the day, D is the total number of days of the month, T is the serial number of the time period in one day, T is the total number of the time period in one day,
Figure FDA0001794774740000013
response success metering value Q for scoring unit on power grid demand side participating in automatic power generation control auxiliary servicetDemand response for the t-th period of the current day of the month;
2.2) the power grid demand side scoring unit obtains a monthly response value of the rotary standby auxiliary service, and the monthly response value is calculated by adopting a calculation formula:
Figure FDA0001794774740000014
wherein the content of the first and second substances,
Figure FDA0001794774740000015
the total response value of one month of the scoring unit participating in the rotary standby auxiliary service at the power grid demand side is given by day, D is the total number of days of the month, T is the sequence number of the time period in one day, T is the total number of the time period in one day,
Figure FDA0001794774740000016
the scoring unit on the demand side of the power grid participates in the basic metering value of the rotary standby auxiliary service,
Figure FDA0001794774740000017
a response success metering value for the power grid demand side scoring unit participating in the rotary standby auxiliary service, alpha is an increment coefficient of the power grid demand side scoring unit participating in the rotary standby auxiliary service, QtDemand response for the t-th period of the current day of the month;
2.3) the power grid demand side scoring unit obtains a hot standby auxiliary service monthly response value, and the hot standby auxiliary service monthly response value is calculated by adopting a calculation formula:
Figure FDA0001794774740000018
wherein the content of the first and second substances,
Figure FDA0001794774740000019
the total response value of one month of the scoring unit participating in the hot standby auxiliary service at the power grid demand side is given by day, D is the total number of days of the month, T is the sequence number of the time period in one day, T is the total number of the time period in one day,
Figure FDA00017947747400000110
the scoring unit on the demand side of the power grid participates in the basic metering value of the hot standby auxiliary service,
Figure FDA0001794774740000021
auxiliary clothes for participating in hot standby of scoring unit on power grid demand sideThe response success metering value of the service is beta which is a value-added coefficient of a scoring unit on the demand side of the power grid participating in the hot standby auxiliary service, QtDemand response for the t-th period of the current day of the month;
2.4) the power grid demand side scoring unit obtains a monthly response value of the compensated peak regulation auxiliary service, and the monthly response value is calculated by adopting a calculation formula:
Figure FDA0001794774740000022
wherein the content of the first and second substances,
Figure FDA0001794774740000023
the total response value of one month for the scoring unit on the power grid demand side participating in the compensated peak regulation auxiliary service is given, day is the serial number of the day, D is the total number of days of the month, T is the serial number of the time period in one day, T is the total number of the time period in one day,
Figure FDA0001794774740000024
the scoring unit on the power grid demand side participates in the basic metering value of the paid peak regulation auxiliary service,
Figure FDA0001794774740000025
response success metering values of scoring units participating in the paid peak regulation auxiliary service on the power grid demand side are measured,
Figure FDA0001794774740000026
response failure measurement value Q for participating in paid peak regulation auxiliary service of scoring unit on power grid demand sidetDemand response for the t-th period of the current day of the month;
3) and finally, calculating a monthly total response value of the power grid demand side by a power grid demand side scoring unit:
Figure FDA0001794774740000027
wherein G ismonthFor power gridThe side scoring unit has a one-month total response value, day is the serial number of days, D is the total number of days of the month, T is the serial number of the time period in one day, T is the total number of the time period in one day,
Figure FDA0001794774740000028
Figure FDA0001794774740000029
the response values of the four auxiliary services of automatic power generation control, rotary standby, hot standby and compensated peak regulation are respectively.
2. The incentive type demand response method based on metering mechanism of claim 1, wherein: in step 2), the demand response basic metering value is a real number greater than or equal to zero, the demand response success metering value is a real number greater than or equal to zero, the demand response failure metering value is a real number less than or equal to zero, and the absolute value of the demand response failure metering value is constantly less than or equal to the absolute value of the demand response basic metering value.
3. The incentive type demand response method based on metering mechanism of claim 1, wherein: in the step 2), the monthly response value G obtained by the demand response load unitmonthThe initial value is zero.
4. The incentive type demand response method based on metering mechanism of claim 1, wherein: obtaining the total response value G of the middle month of the scoring unit on the power grid demand sidemonthThen, the following treatment is carried out: total response value of G in monthsmonthIf it is greater than zero, the total response value G according to the monthmonthThe electricity charge value is reduced; and if the total response value of the month is less than or equal to zero, clearing the total response value of the month, and not reducing the electricity charge metering value.
5. The incentive type demand response method based on metering mechanism of claim 1, wherein: and the power grid demand side scoring unit is arranged at the power grid demand side section.
CN201811051906.0A 2018-09-10 2018-09-10 Incentive type demand response method based on metering mechanism Active CN109325677B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811051906.0A CN109325677B (en) 2018-09-10 2018-09-10 Incentive type demand response method based on metering mechanism

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811051906.0A CN109325677B (en) 2018-09-10 2018-09-10 Incentive type demand response method based on metering mechanism

Publications (2)

Publication Number Publication Date
CN109325677A CN109325677A (en) 2019-02-12
CN109325677B true CN109325677B (en) 2021-07-06

Family

ID=65264886

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811051906.0A Active CN109325677B (en) 2018-09-10 2018-09-10 Incentive type demand response method based on metering mechanism

Country Status (1)

Country Link
CN (1) CN109325677B (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104616082A (en) * 2015-02-11 2015-05-13 国家电网公司 Demand response benefit and potential evaluation method based on electricity price
CN105846467A (en) * 2016-05-15 2016-08-10 华南理工大学 Stimulating type demand response-based micro power grid load shedding control method
CN106655246A (en) * 2016-10-18 2017-05-10 国网黑龙江省电力有限公司哈尔滨供电公司 Method of solving robust two-layer optimization model based on wind power prediction and demand response
CN107665378A (en) * 2017-09-25 2018-02-06 燕山大学 Power system Multiobjective Optimal Operation method based on Demand-side trade at competitive price mechanism

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104616082A (en) * 2015-02-11 2015-05-13 国家电网公司 Demand response benefit and potential evaluation method based on electricity price
CN105846467A (en) * 2016-05-15 2016-08-10 华南理工大学 Stimulating type demand response-based micro power grid load shedding control method
CN106655246A (en) * 2016-10-18 2017-05-10 国网黑龙江省电力有限公司哈尔滨供电公司 Method of solving robust two-layer optimization model based on wind power prediction and demand response
CN107665378A (en) * 2017-09-25 2018-02-06 燕山大学 Power system Multiobjective Optimal Operation method based on Demand-side trade at competitive price mechanism

Also Published As

Publication number Publication date
CN109325677A (en) 2019-02-12

Similar Documents

Publication Publication Date Title
Nwulu et al. Optimal dispatch for a microgrid incorporating renewables and demand response
Thien et al. Real-world operating strategy and sensitivity analysis of frequency containment reserve provision with battery energy storage systems in the german market
Prete et al. A cooperative game theoretic analysis of incentives for microgrids in regulated electricity markets
Wu et al. Demand side management for wind power integration in microgrid using dynamic potential game theory
Tewari et al. Value of NAS energy storage toward integrating wind: Results from the wind to battery project
CN109087213B (en) Distributed electric power spot market transaction simulation method
CN111898805B (en) Energy storage system capacity configuration method and device, configuration equipment and storage medium
CN110060165B (en) Photovoltaic energy storage system income measuring and calculating method and energy management control method
CN112381268B (en) Short-term coal burning cost prediction method and system for electric power spot market
Krishnamurthy et al. Real-time pricing revisited: Demand flexibility in the presence of micro-generation
CN109325677B (en) Incentive type demand response method based on metering mechanism
Griffiths Reducing emissions from consumer energy storage using retail rate design
Wang et al. An optimal congestion scheduling model of intraday market for promoting the consumption of renewable energy sources
Zambri et al. Comparative study of net energy metering and feed-in tariff for the 496kWp UiTM segamat solar photovoltaic system
Jansen et al. Participation of photovoltaic systems in control reserve markets
CN111695817B (en) Method, device and system for calculating required quantity reduction
CN109149588B (en) Demand response method of metering mechanism considering total pricing risk of power grid
Duan et al. Rolling dispatch of demand response resources considering renewable energy accommodation
CN115776110B (en) Electricity generation prediction model, electricity purchasing optimization model and electricity purchasing optimization model system
KR101637404B1 (en) METHOD AND APPARATUS FOR SHARING PROFIT OF ELECTRICITY GENERATION BASED ON SOLAR ENERGY IN CONSIDERATION OF ELECTRICITY GENERATION WITHOUT BOS(Balance of system) DEVICE
Di et al. Cross-Subsidy Accounting Method and Balancing Mechanism in Electricity Market Considering Precise and Explicit Subsidies
Lunackova et al. The merit order effect of Czech renewable energy
Prešić et al. Improved Methodology for Solving Short-Term Inadequacy
CN109255727A (en) A kind of stepped demand response method based on metering mechanism
CN117057834A (en) Elastic electricity price forming method and system for responding to power grid demand

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant