A real-time optimization scheduling method, device and system for multiple pumped storage power plants
By establishing a closed-loop control system for multi-pumped storage power plants and calculating and allocating the total adjustment needs of pumped storage power plants, the problem of real-time optimization and scheduling of pumped storage power plants in the existing technology is solved, and the safe and economic operation of the power grid is achieved.
Patent Information
- Application Number
- CN202111078217.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-09-15
- Publication Date
- 2025-04-25
- Estimated Expiration
- 2041-09-15
AI Technical Summary
The prior art is difficult to achieve real-time optimization scheduling of pumped storage power plants, especially when load demand changes greatly, the adjustable capacity cannot be effectively allocated, resulting in high grid regulation pressure.
By establishing a closed-loop control system for multi-pumped storage power plants, the total adjustment demand for pumped storage energy is calculated using the load prediction, actual load, planned power generation and secondary frequency modulation backup capacity limits in the pumped storage data pool, and allocated to each pumped storage power plant according to the economic scheduling principle to achieve real-time optimization scheduling.
Real-time optimized scheduling of multi-pumped storage power plants is realized, which can effectively allocate adjustable capacity, reduce grid regulation pressure, and improve the safe and economical operation of the power grid.
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Figure CN115811091B_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of pumped storage dispatching, and in particular relates to a method, device and system for real-time optimization dispatching of multiple pumped storage power plants. Background Art
[0002] With the large-scale development and utilization of emerging energy in my country, the rapid development of UHV and smart grids, and the rapid rise of the energy storage industry, the new energy structure has more and more requirements for pumped-storage power stations. The configuration of pumped-storage power stations has gradually shifted from a single focus on power load centers to power load centers, energy bases, transmission ends, and landing ends. There is an increasing call for real-time optimization and scheduling of multiple pumped-storage power stations in load centers.
[0003] Pumped storage units have the characteristics of rapid start-up, fast power regulation, and reverse power regulation. They can provide protection and support for the power grid, reduce the impact of uncertain factors such as power imbalance on the power grid, and alleviate the pressure of power grid regulation. With extremely strong regulation capabilities, they can quickly support the power shortage of the power grid. Real-time dispatching of pumped storage power plants plays a vital role in the safe and stable operation of the power grid.
[0004] However, in actual systems, the real-time power generation plan and secondary frequency regulation control strategy are relatively simple. Most of them directly use the real-time power generation plan as the base power or control target of the secondary frequency regulation unit. The determination of the unit control state mostly relies on subjective judgment and historical experience, and it is impossible to achieve the optimal allocation of adjustable capacity. Regarding real-time dispatching, the current research mainly focuses on the output adjustment of power plants in the current single period from the perspective of the load balance of the entire network, and rarely involves the research on the output adjustment strategy of power plants in the next few hours. The latter is exactly what the front-line dispatchers need, especially when the load demand changes greatly. Summary of the invention
[0005] In view of the above problems, the present invention proposes a real-time optimization scheduling method, device and system for multiple pumped-storage power plants, which can realize real-time optimization scheduling of multiple pumped-storage power plants and provide strong support for the safety and economic operation of the power grid.
[0006] In order to achieve the above technical objectives and the above technical effects, the present invention is implemented through the following technical solutions:
[0007] In a first aspect, the present invention provides a method for real-time optimization and scheduling of multiple pumped storage power plants, comprising:
[0008] When it is determined based on the pumped storage data pool and preset judgment conditions that pumped storage regulation needs to be started, the total pumped storage regulation demand is calculated based on the load forecast and the deviation of planned power generation; wherein the pumped storage data pool stores load forecast, actual load, planned power generation and secondary frequency regulation reserve capacity limit;
[0009] Based on the pumped storage constraint conditions and the total pumped storage regulation demand, calculating the adjustable range of the pumped storage master plan;
[0010] According to the principles of economic dispatch and reasonable allocation, combined with the adjustable range of the pumped-storage master plan, the pumped-storage master plan is allocated to each pumped-storage power plant to obtain a new power generation plan for each pumped-storage power plant.
[0011] Optionally, the preset judgment condition is: the deviation between the load forecast and the actual load exceeds the secondary frequency regulation reserve capacity limit.
[0012] Optionally, the preset judgment condition is: the deviation between the actual load and the planned power generation exceeds the secondary frequency regulation reserve capacity limit.
[0013] Optionally, the calculation formula for the total regulation demand of pumped storage is:
[0014]
[0015] Where P adj is the total regulation demand; P fore is the load forecast; P plan For planned power generation; fore is the prediction time; t plan is the planned time; t diff To record components whose deviation lasts longer than the set time.
[0016] Optionally, the pumped storage constraints include: pumped storage secondary frequency regulation reserve constraints, pumped storage regulation capacity limit constraints, and pumped storage available hours constraints;
[0017] The expression of the pumped storage secondary frequency regulation reserve constraint is:
[0018]
[0019] In the formula, The upward reserve provided for the kth unit at time t; Increase the reserve requirement for the system at time t; The down-regulated reserve provided by the k-th unit at time t; Adjust the reserve requirement for the system downward at time t;
[0020] The expression of the pumped storage regulation capacity limit constraint is:
[0021]
[0022] In the formula, Adjust the capacity upper limit for the kth unit at time t; The lower limit of the capacity adjustment for the kth unit at time t;
[0023] The expression for the constraint on the number of hours that pumped storage can be drawn is:
[0024]
[0025] In the formula, is the number of hours that can be pumped out of the i-th pumped storage power plant at time t; is the adjustable capacity of the i-th pumped storage power plant at time t.
[0026] Alternatively, the expression for the new power generation plan of each pumped storage power plant is:
[0027]
[0028] In the formula, α i is the participation factor of the i-th pumped storage power plant, satisfying is the adjustable capacity of the i-th pumped storage power plant at time t.
[0029] Optionally, the step of obtaining a new power generation plan for each pumped storage power plant further includes:
[0030] The new power generation plan of each pumped storage power plant is sent to the planning value module of the corresponding pumped storage power plant, which is used to control the automatic start and shutdown of the pumped storage power plant units.
[0031] In a second aspect, the present invention provides a real-time optimization and dispatching device for multiple pumped storage power plants, comprising:
[0032] The first calculation module is used to calculate the total pumped storage regulation demand based on the load forecast and the deviation of planned power generation when it is judged that pumped storage regulation needs to be started based on the pumped storage data pool and the preset judgment conditions; wherein the pumped storage data pool stores the load forecast, actual load, planned power generation and secondary frequency regulation reserve capacity limit;
[0033] A second calculation module is used to calculate the adjustable range of the pumped storage master plan based on the pumped storage constraint conditions and the pumped storage master regulation demand;
[0034] The dispatching module is used to allocate the pumped storage master plan to each pumped storage power plant according to the principles of economic dispatch and reasonable allocation, combined with the adjustable range of the pumped storage master plan, to obtain a new power generation plan for each pumped storage power plant.
[0035] Optionally, the real-time optimization and dispatching device for multiple pumped storage power plants further comprises:
[0036] An execution module is used to send the new power generation plan of each pumped-storage power plant to the plan value module of the corresponding pumped-storage power plant, so as to control the automatic start and stop of the units of the pumped-storage power plant.
[0037] In a third aspect, the present invention provides a real-time optimization and dispatching system for multiple pumped storage power plants, including a processor and a storage medium;
[0038] The storage medium is used to store instructions;
[0039] The processor is configured to operate according to the instructions to execute the steps of the method according to any one of the first aspects.
[0040] Compared with the prior art, the present invention has the following beneficial effects:
[0041] The present invention proposes a real-time conversion mechanism for load deviation and establishes a closed-loop control system for multiple pumped-storage power plants. The closed-loop control system distributes the load deviation to each pumped-storage power plant according to the principle of economic dispatch, thereby realizing real-time optimized dispatch of multiple pumped-storage power plants. It can give full play to the rapid adjustment capability of pumped-storage power plants, perform real-time optimized dispatch of multiple pumped-storage power plants, and provide security and support for the power grid. BRIEF DESCRIPTION OF THE DRAWINGS
[0042] In order to make the content of the present invention more clearly understood, the present invention is further described in detail below based on specific embodiments and in conjunction with the accompanying drawings, wherein:
[0043] Figure 1 A schematic flow chart of a method for real-time optimization and scheduling of multiple pumped-storage power plants according to an embodiment of the present invention. DETAILED DESCRIPTION
[0044] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the scope of protection of the present invention.
[0045] The application principle of the present invention is described in detail below in conjunction with the accompanying drawings.
[0046] Example 1
[0047] An embodiment of the present invention provides a method for real-time optimization and scheduling of multiple pumped storage power plants, comprising:
[0048] Step 1: Determine whether it is necessary to start pumped storage regulation;
[0049] When judging whether it is necessary to start pumped storage regulation based on the pumped storage data pool and the preset judgment conditions, wherein the pumped storage data pool stores load forecast, actual load, planned power generation and secondary frequency regulation reserve capacity limit; in the specific implementation process, firstly, it is necessary to obtain the load forecast, actual load, planned power generation and secondary frequency regulation reserve capacity limit to establish the pumped storage data pool;
[0050] Step 2: Calculate the total regulation demand of pumped storage;
[0051] When it is determined that pumped storage regulation needs to be initiated, the total regulation demand for pumped storage is calculated based on the load forecast and the deviation of planned power generation;
[0052] Step 3: Calculate the adjustable range of the overall pumped storage plan;
[0053] Based on the pumped storage constraint conditions and the total pumped storage regulation demand, calculating the adjustable range of the pumped storage master plan;
[0054] Step 4: Allocation of power generation plan of pumped storage power plant;
[0055] According to the principles of economic dispatch and reasonable allocation, combined with the adjustable range of the pumped storage master plan, the pumped storage master plan is allocated to each pumped storage power plant to obtain a new power generation plan for each pumped storage power plant;
[0056] Step 5: Automatic start and stop control;
[0057] The new power generation plan of each pumped storage power plant is sent to the planning value module of the corresponding pumped storage power plant, which is used to control the automatic start and shutdown of the pumped storage power plant units to achieve the purpose of real-time optimization scheduling.
[0058] The real-time optimization scheduling method for multiple pumped-storage power plants in the embodiment of the present invention can automatically start pumped-storage scheduling by determining the power generation status. At the same time, combined with the pumped-storage constraint conditions, it can achieve the purpose of automatically accommodating deviations. On the other hand, the real-time optimization scheduling method for multiple pumped-storage power plants in the embodiment of the present invention obtains real-time operation data through a pumped-storage data pool to achieve the purpose of real-time scheduling and improve the real-time performance of scheduling of multiple pumped-storage power plants.
[0059] In a specific embodiment of the present invention, the preset judgment condition is: the deviation between the load forecast and the actual load exceeds the secondary frequency regulation reserve capacity limit, and the specific expression is:
[0060]
[0061] Where P fore is the load forecast; P pre is the actual load; It is the upper limit of the secondary frequency regulation reserve capacity. The secondary frequency regulation reserve capacity refers to the capacity of the standby units that can be adjusted by the system to maintain stable operation.
[0062] In a specific embodiment of the present invention, the preset judgment condition is: the deviation between the actual load and the planned power generation exceeds the secondary frequency regulation reserve capacity limit, and the specific expression is:
[0063]
[0064] Where P plan For planned power generation; P pre is the actual load; It is the upper limit of the secondary frequency regulation reserve capacity. The secondary frequency regulation reserve capacity refers to the capacity of the standby units that can be adjusted by the system to maintain stable operation.
[0065] In a specific embodiment of the present invention, the calculation formula of the total regulation demand of pumped storage is:
[0066]
[0067] Where P adj is the total regulation demand; P fore is the load forecast; P plan For planned power generation; fore is the prediction time; t plan is the planned time; t diff In order to record the components whose deviation duration exceeds the set time, in actual application, the set time can be set to 15 minutes.
[0068] In a specific embodiment of the present invention, the pumped storage constraint conditions include: pumped storage secondary frequency regulation reserve constraint, pumped storage regulation capacity limit constraint, and pumped storage available pumping hours constraint;
[0069] The expression of the pumped storage secondary frequency regulation reserve constraint is:
[0070]
[0071] In the formula, The upward reserve provided for the kth unit at time t; Increase the reserve requirement for the system at time t; The down-regulated reserve provided by the k-th unit at time t; Adjust the reserve requirement for the system downward at time t;
[0072] The expression of the pumped storage regulation capacity limit constraint is:
[0073]
[0074] In the formula, Adjust the capacity upper limit for the kth unit at time t; The lower limit of the capacity adjustment for the kth unit at time t;
[0075] The expression for the constraint on the number of hours that pumped storage can be drawn is:
[0076]
[0077] In the formula, is the number of hours that can be pumped out of the i-th pumped storage power plant at time t; is the adjustable capacity of the i-th pumped storage power plant at time t.
[0078] In a specific embodiment of the present invention, the expression of the new power generation plan of each pumped storage power plant is:
[0079]
[0080] In the formula, α i is the participation factor of the i-th pumped storage power plant, satisfying is the adjustable capacity of the i-th pumped storage power plant at time t.
[0081] Example 2
[0082] An embodiment of the present invention provides a real-time optimization and dispatching device for multiple pumped storage power plants, comprising:
[0083] The first calculation module is used to calculate the total pumped storage regulation demand based on the load forecast and the deviation of planned power generation when it is judged that pumped storage regulation needs to be started based on the pumped storage data pool and the preset judgment conditions; wherein the pumped storage data pool stores the load forecast, actual load, planned power generation and secondary frequency regulation reserve capacity limit;
[0084] A second calculation module is used to calculate the adjustable range of the pumped storage master plan based on the pumped storage constraint conditions and the pumped storage master regulation demand;
[0085] The dispatching module is used to allocate the pumped storage master plan to each pumped storage power plant according to the principles of economic dispatch and reasonable allocation, combined with the adjustable range of the pumped storage master plan, to obtain a new power generation plan for each pumped storage power plant.
[0086] An execution module is used to send the new power generation plan of each pumped-storage power plant to the planning value module of the corresponding pumped-storage power plant, and is used to control the automatic start and shutdown of the pumped-storage power plant units to achieve the purpose of real-time optimization scheduling.
[0087] The real-time optimization and dispatching device for multiple pumped-storage power plants in the embodiment of the present invention can automatically start pumped-storage dispatching by determining the power generation state, and can achieve the purpose of automatically accommodating deviations by combining pumped-storage constraint conditions. On the other hand, the real-time optimization and dispatching device for multiple pumped-storage power plants in the embodiment of the present invention obtains real-time operation data through a pumped-storage data pool to achieve the purpose of real-time dispatching and improve the real-time performance of dispatching of multiple pumped-storage power plants.
[0088] In a specific embodiment of the present invention, the preset judgment condition is: the deviation between the load forecast and the actual load exceeds the secondary frequency regulation reserve capacity limit, and the specific expression is:
[0089]
[0090] Where P fore is the load forecast; P pre is the actual load; It is the upper limit of the secondary frequency regulation reserve capacity. The secondary frequency regulation reserve capacity refers to the capacity of the standby units that can be adjusted by the system to maintain stable operation.
[0091] In a specific embodiment of the present invention, the preset judgment condition is: the deviation between the actual load and the planned power generation exceeds the secondary frequency regulation reserve capacity limit, and the specific expression is:
[0092]
[0093] Where P plan For planned power generation; P pre is the actual load; It is the upper limit of the secondary frequency regulation reserve capacity. The secondary frequency regulation reserve capacity refers to the capacity of the standby units that can be adjusted by the system to maintain stable operation.
[0094] In a specific embodiment of the present invention, the calculation formula of the total regulation demand of pumped storage is:
[0095]
[0096] Where P adj is the total regulation demand; P fore is the load forecast; P plan For planned power generation; fore is the prediction time; t plan is the planned time; tdiff In order to record the components whose deviation duration exceeds the set time, in actual application, the set time can be set to 15 minutes.
[0097] In a specific embodiment of the present invention, the pumped storage constraint conditions include: pumped storage secondary frequency regulation reserve constraint, pumped storage regulation capacity limit constraint, and pumped storage available pumping hours constraint;
[0098] The expression of the pumped storage secondary frequency regulation reserve constraint is:
[0099]
[0100] In the formula, The upward reserve provided for the kth unit at time t; Increase the reserve requirement for the system at time t; The down-regulated reserve provided by the k-th unit at time t; Adjust the reserve requirement for the system downward at time t;
[0101] The expression of the pumped storage regulation capacity limit constraint is:
[0102]
[0103] In the formula, Adjust the capacity upper limit for the kth unit at time t; The lower limit of the capacity adjustment for the kth unit at time t;
[0104] The expression for the constraint on the number of hours that pumped storage can be drawn is:
[0105]
[0106] In the formula, is the number of hours that can be pumped out of the i-th pumped storage power plant at time t; is the adjustable capacity of the i-th pumped storage power plant at time t.
[0107] In a specific embodiment of the present invention, the expression of the new power generation plan of each pumped storage power plant is:
[0108]
[0109] In the formula, α i is the participation factor of the i-th pumped storage power plant, satisfying is the adjustable capacity of the i-th pumped storage power plant at time t.
[0110] Example 3
[0111] The present invention provides a real-time optimization dispatching system for multiple pumped storage power plants, comprising a processor and a storage medium;
[0112] The storage medium is used to store instructions;
[0113] The processor is used to operate according to the instructions to execute the steps of the method according to any one of Embodiment 1.
[0114] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.
Claims
1. A real-time optimization scheduling method for multiple pumped storage power plants, characterized in that: include: When it is determined based on the pumped storage data pool and preset judgment conditions that pumped storage regulation needs to be started, the total pumped storage regulation demand is calculated based on the load forecast and the deviation of planned power generation; wherein the pumped storage data pool stores load forecast, actual load, planned power generation and secondary frequency regulation reserve capacity limit; Based on the pumped storage constraint conditions and the total pumped storage regulation demand, calculating the adjustable range of the pumped storage master plan; According to the principles of economic dispatch and reasonable allocation, combined with the adjustable range of the pumped storage master plan, the pumped storage master plan is allocated to each pumped storage power plant to obtain a new power generation plan for each pumped storage power plant; The calculation formula for the total regulation demand of pumped storage is: Where P adj is the total regulation demand; P fore is the load forecast; P plan For planned power generation; fore is the prediction time; t plan is the planned time; t diff To record components where the deviation lasts longer than a set time; The pumped storage constraints include: pumped storage secondary frequency regulation reserve constraints, pumped storage regulation capacity limit constraints, and pumped storage available hours constraints; The expression of the pumped storage secondary frequency regulation reserve constraint is: In the formula, The upward reserve provided for the kth unit at time t; Adjust the reserve requirement for the system at time t upward; The down-regulated reserve provided by the k-th unit at time t; Adjust the reserve requirement for the system downward at time t; The expression of the pumped storage regulation capacity limit constraint is: In the formula, Adjust the capacity upper limit for the kth unit at time t; The lower limit of the capacity adjustment for the kth unit at time t; The expression for the pumpable hours constraint of pumped storage is: In the formula, is the number of hours that can be pumped out of the i-th pumped storage power plant at time t; is the adjustable capacity of the i-th pumped storage power plant at time t; The expression of the new power generation plan of each pumped storage power plant is: In the formula, α i is the participation factor of the i-th pumped storage power plant, satisfying is the adjustable capacity of the i-th pumped storage power plant at time t.
2. A method for real-time optimization and dispatching of multiple pumped storage power plants according to claim 1, characterized in that: The preset judgment condition is: the deviation between the load forecast and the actual load exceeds the secondary frequency regulation reserve capacity limit.
3. A method for real-time optimization and dispatching of multiple pumped storage power plants according to claim 1, characterized in that: The preset judgment condition is: the deviation between the actual load and the planned power generation exceeds the secondary frequency regulation reserve capacity limit.
4. A method for real-time optimization and dispatching of multiple pumped storage power plants according to claim 1, characterized in that: The step of obtaining a new power generation plan for each pumped storage power plant further includes: The new power generation plan of each pumped storage power plant is sent to the planning value module of the corresponding pumped storage power plant, which is used to control the automatic start and shutdown of the pumped storage power plant units.
5. A real-time optimization dispatching device for multiple pumped storage power plants, characterized in that: include: The first calculation module is used to calculate the total pumped storage regulation demand based on the load forecast and the deviation of planned power generation when it is judged that pumped storage regulation needs to be started based on the pumped storage data pool and the preset judgment conditions; wherein the pumped storage data pool stores the load forecast, actual load, planned power generation and secondary frequency regulation reserve capacity limit; A second calculation module is used to calculate the adjustable range of the pumped storage master plan based on the pumped storage constraint conditions and the pumped storage master regulation demand; A dispatching module is used to allocate the pumped storage master plan to each pumped storage power plant according to the principles of economic dispatch and reasonable allocation, combined with the adjustable range of the pumped storage master plan, to obtain a new power generation plan for each pumped storage power plant; The calculation formula for the total regulation demand of pumped storage is: Where P adj is the total regulation demand; P fore is the load forecast; P plan For planned power generation; fore is the prediction time; t plan is the planned time; t diff To record components where the deviation lasts longer than a set time; The pumped storage constraints include: pumped storage secondary frequency regulation reserve constraints, pumped storage regulation capacity limit constraints, and pumped storage available hours constraints; The expression of the pumped storage secondary frequency regulation reserve constraint is: In the formula, The upward reserve provided for the kth unit at time t; Adjust the reserve requirement for the system at time t upward; The down-regulated reserve provided by the k-th unit at time t; Adjust the reserve requirement for the system downward at time t; The expression of the pumped storage regulation capacity limit constraint is: In the formula, Adjust the capacity upper limit for the kth unit at time t; The lower limit of the capacity adjustment for the kth unit at time t; The expression for the constraint on the number of hours that pumped storage can be drawn is: In the formula, is the number of hours that can be pumped out of the i-th pumped storage power plant at time t; is the adjustable capacity of the i-th pumped storage power plant at time t; The expression of the new power generation plan of each pumped storage power plant is: In the formula, α i is the participation factor of the i-th pumped storage power plant, satisfying is the adjustable capacity of the i-th pumped storage power plant at time t.
6. A real-time optimization dispatching device for multiple pumped storage power plants according to claim 5, characterized in that: The multiple pumped storage power plant real-time optimization dispatching device also includes: The execution module is used to send the new power generation plan of each pumped storage power plant to the plan value module of the corresponding pumped storage power plant, and is used to control the automatic start and shutdown of the pumped storage power plant units.
7. A real-time optimization dispatching system for multiple pumped storage power plants, characterized in that: including processors and storage media; The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1-4.
Citation Information
Patent Citations
Multi-pumped storage power plant balanced scheduling method
CN110890767A