Historical database system for resolving energy imbalance requirements in real-time

• US 7,324,977 B2
• Filed: 12/06/2002
• Issued: 01/29/2008
• Est. Priority Date: 12/07/2001
• Status: Expired due to Fees

• Current Assignee: Siemens AG
• Original Assignee: Siemens Power Transmission & Distribution Incorporated (Siemens AG)
• Inventors: Ristanovic, Petar, Peljto, Haso
• Primary Examiner(s): Borissov; Igor N.
• Application Number:
  US10/314,053
• Publication Number:
  US 20030216994A1
• Time in Patent Office: 1,880 Days
• Field of Search: 705/37, 705/26, 705/27, 705/63, 705/80, 705/39, 705/412, 705/1, 705/7, 705/8, 705/10, 700/286, 700/291
• US Class Current: 705/412
• CPC Class Codes: G05B 19/00 Programme-control systems
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/04 Billing or invoicing
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 3/008 involving trading of energy or energy transmission rights
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 10/50 Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 50/10 Energy trading, including energy flowing from end-user application to grid
• CPC Class Codes: Y04S 50/12 Billing, invoicing, buying or selling transactions or other related activities, e.g. cost or usage evaluation

Abstract

A method and apparatus for resolving energy imbalance in a real-time manner is disclosed. A plurality of market user interfaces are coupled to an imbalance engine which determines optimal dispatch requirements corresponding to supply and demand requirements of the market participants. The imbalance engine resolves in a real-time manner the dispatch requirements while considering the transmission limitations, ramping limitations, transmission facilities, and price data.

Claims

1. A computer readable medium having computer readable instructions embedded therein, which, when executed by a computer, cause the computer to implement a method for adjusting energy generation and energy load in an energy imbalance market to remedy energy generation and energy load imbalances therein, comprising:

receiving from a plurality of imbalance market participants, including energy generating participants and energy-consuming load participants, energy supply and energy demand requirements for imbalance energy in an energy imbalance market;

archiving historical bidding data from said imbalance market participants;

collecting control area analog measurements;

determining optimal dispatch of energy generation and energy load for each imbalance market participant for balancing generation and load imbalances in the imbalance market corresponding to said energy supply and energy demand requirements, said historical bidding data; and

said control area analog measurements; and

determining ex post settlement prices for the imbalance market participants corresponding to the optimal dispatch according to the relationship;

${\mathrm{BP}}_{\mathrm{mp}}^T=\frac{\underset{t\in <br><br>T}{\sum <br><br>}<br><br><br><br>\left({\mathrm{IncMW}}_t*{\mathrm{BP}}_{\mathrm{mp}}^t-{\mathrm{DecMW}}_t*{\mathrm{BP}}_{\mathrm{mp}}^t\right)}{\underset{t\in <br><br>T}{\sum <br><br>}<br><br><br><br>\left(<br><br>{\mathrm{IncMW}}_t<br><br>+<br><br>{\mathrm{DecMW}}_t<br><br>\right)},$

wherein BP_mp^T is a settlement billing price for imbalance market participant mp for a time period T, IncMW_t and DecMW_t are the incremental and decremental

balancing energies, respectively, during a time interval t of the time period T, and BP_mp^t is a billing price for market participant mp for a time interval t; and

using the ex post settlement prices to settle with the imbalance market participants.

2. The computer readable medium of claim 1, wherein the method further comprises collecting and processing tie-line analog measurements.

3. The computer readable medium of claim 1, wherein the method further comprises calculating loads of each control area.

4. The computer readable medium of claim 1, wherein the method further comprises collecting weather data that may be required for very short-term load forecasts and imbalance energy forecast.

5. The computer readable medium of claim 1, wherein the method further comprises a calculating control area errors.

6. The computer readable medium of claim 1, wherein the method further comprises tracking unit response to energy imbalance controls.

7. The computer readable medium of claim 1, wherein the method further comprises predicting response for tracking measurements.

8. A method for adjusting energy generation and energy load in an energy imbalance market to remedy energy generation and energy load imbalances therein determining prices in an energy trading market, comprising:

receiving energy supply and energy demand requirements for imbalance energy in an energy imbalance market pricing and load information from a plurality of imbalance market participants, including energy generating participants and energy-consuming load participants;

determining optimal balancing energy prices for each participant, the optimal prices for balancing generation and load imbalances responsive to a minimum of the sum of the bid costs over all participants and over all resource types, subject to flow gate congestion and line loss constraints;

archiving historical bidding data from said imbalance market participants; and

collecting control area analog measurements;

determining optimal dispatch of energy generation and energy load for each imbalance market participant for balancing generation and load imbalances in the imbalance market corresponding to said energy supply and energy demand requirements, said historical bidding data; and

said control area analog measurements;

issuing dispatch instructions responsive to the optimal dispatch of energy generation and energy load to each imbalance market participant;

for use in controlling their respective energy generation and energy load to remedy energy generation and energy load imbalances in the imbalance market;

determining ex post settlement prices for the imbalance market participants corresponding to the optimal dispatch according to the relationship;

${\mathrm{BP}}_{\mathrm{mp}}^T=\frac{\underset{t\in <br><br>T}{\sum <br><br>}<br><br><br><br>\left({\mathrm{IncMW}}_t*{\mathrm{BP}}_{\mathrm{mp}}^t-{\mathrm{DecMW}}_t*{\mathrm{BP}}_{\mathrm{mp}}^t\right)}{\underset{t\in <br><br>T}{\sum <br><br>}<br><br><br><br>\left(<br><br>{\mathrm{IncMW}}_t<br><br>+<br><br>{\mathrm{DecMW}}_t<br><br>\right)},$

wherein BP_mp^T is a settlement billing price for imbalance market participant mp for a time period T, IncMW_t and DecMW_t are the incremental and decremental balancing energies, respectively, during a time interval t of the time period T, and BP_mp^t is a billing price for market participant mp for a time interval t; and

using the ex post settlement prices to settle with the imbalance market participants.

9. A method for adjusting and pricing energy generation and energy load in an energy imbalance market of an energy distribution system separate from a bilateral energy trading market and an automatic generation control function of the energy distribution system, the energy distribution system including an energy distribution region subdivided into a plurality of different control areas including imbalance market participants, the method comprising:

receiving from a plurality of imbalance market participants, including energy generation participants and energy consuming load participants in an energy distribution region, energy supply and energy demand requirements for imbalance energy in an energy imbalance market;

archiving historical bidding data from said market participants;

collecting control area analog measurements;

determining optimal dispatch of energy generation and energy load for each imbalance market participant for balancing generation and load imbalances in the imbalance market corresponding to said energy supply and energy demand requirements, said historical bidding data, and said control area analog measurements;

determining ex post settlement prices for the imbalance market participants corresponding to the optimal dispatch according to the relationship;

${\mathrm{BP}}_{\mathrm{mp}}^T=\frac{\underset{t\in <br><br>T}{\sum <br><br>}<br><br><br><br>\left({\mathrm{IncMW}}_t*{\mathrm{BP}}_{\mathrm{mp}}^t-{\mathrm{DecMW}}_t*{\mathrm{BP}}_{\mathrm{mp}}^t\right)}{\underset{t\in <br><br>T}{\sum <br><br>}<br><br><br><br>\left(<br><br>{\mathrm{IncMW}}_t<br><br>+<br><br>{\mathrm{DecMW}}_t<br><br>\right)},$

wherein BP_mp^T is a settlement billing price for imbalance market participant mp for a time period T, IncMW_t and DecMW_t are the incremental and decremental balancing energies, respectively, during a time interval t of the time period T, and BP_mp^t is a billing price for market participant mp for a time interval t; and

using the ex post settlement prices to settle with the imbalance market participants.