CN-122001004-A - Watershed cascade water-light complementary optimization scheduling method for electric power market transaction
Abstract
The invention discloses a watershed cascade water-light complementary optimization scheduling method for electric power market transaction, which relates to the technical field of electric power scheduling, and comprises the steps of respectively performing independent power generation fitting modeling on hydraulic power and photovoltaic power generation based on environmental factors, equipment states and historical data; combining the price fluctuation and demand data of the electric power market, constructing a plurality of typical electric field scenes, fitting to generate different bidding strategies, optimizing and solving with the targets of market gain maximization, supply-demand balance, gradient complementary stability and equipment health, and formulating a combined bidding strategy and a corresponding optimized scheduling scheme. The method solves the technical problems that in the prior art, the electric power market environment is not fully considered in scheduling, the double uncertainties of photovoltaic output and electricity price and the economic benefit limitation caused by insufficient water-light resource cooperation are difficult to deal with, and achieves the technical effects of improving the overall benefit and the risk resistance of the watershed cascade water-light complementation in the electric power market through the complementation strategy of multi-market cooperation and risk optimization.
Inventors
- CUI CHANGQING
- ZHU RUI
- WANG XIANGWEI
- CAO MENGLIN
- HE CHUANKAI
- WEI ZHAOBIN
- LIU JIANFEI
- SUI PENG
- HE RONG
- WANG AIZHEN
Assignees
- 大唐乡城水电开发有限公司
- 大唐水电科学技术研究院有限公司
Dates
- Publication Date
- 20260508
- Application Date
- 20251219
Claims (10)
- 1. The watershed cascade water-light complementary optimal scheduling method for the electric power market transaction is characterized by comprising the following steps of: after collecting dynamic environment factors, performing independent power generation fitting modeling by combining equipment states of hydroelectric power generation equipment and photovoltaic power generation equipment and historical power output data, and establishing an independent power generation fitting modeling result; Acquiring price fluctuation and power demand data of a power market, and constructing N typical electric field scenes according to the price fluctuation and the power demand data; under N typical electric field scenes, performing bidding strategy fitting based on equipment states and real-time price fluctuation, and establishing a plurality of bidding strategy fitting results; Performing watershed cascade water-light complementary scheduling analysis based on the independent power generation fitting modeling result and the multiple bidding strategy fitting results, wherein the watershed cascade water-light complementary scheduling analysis uses market gain maximization, supply-demand balance constraint, cascade energy complementary stability constraint and equipment health constraint as combined targets, and performs multi-target optimization solution; and configuring a combined bidding strategy according to the multi-objective optimization solving result, and generating an optimized scheduling strategy mapped with the combined bidding strategy.
- 2. The watershed cascade water-light complementary optimization scheduling method for electric power market transaction according to claim 1, wherein under the condition of N typical electric field scenes, performing bidding strategy fitting based on equipment states and real-time price fluctuation, and establishing a plurality of bidding strategy fitting results, wherein the method comprises the following steps: according to the equipment state and dynamic environmental factors, utilizing the independent power generation fitting modeling result to perform optimal power generation analysis of the hydroelectric power generation equipment and the photovoltaic power generation equipment, and establishing an optimal power generation analysis result; performing scene adaptation analysis of N typical electric field scenes by using the optimal power generation amount analysis result, and establishing adaptation evaluation degree; establishing price rewarding and punishing factors by utilizing the real-time price fluctuation; Performing deviation penalty analysis on an optimal power generation amount analysis result by using the independent power generation fitting modeling result, and establishing a deviation penalty factor; and performing bidding strategy fitting according to the adaptation evaluation degree, the price rewarding and punishing factors and the deviation punishing factors, and outputting a plurality of bidding strategy fitting results.
- 3. The watershed cascade water-light complementary optimization scheduling method for electric power market transaction according to claim 2, wherein performing bidding strategy fitting according to the adaptation evaluation degree, price rewarding and punishing factors and deviation punishing factors and outputting a plurality of bidding strategy fitting results comprises: Activating a balance optimization channel, and inputting the price rewarding punishment factors and deviation punishment factors into the balance optimization channel after the balance optimization channel is initialized by utilizing the adaptation evaluation degree; And executing bidding strategy fitting through balancing market income, equipment health, equipment stability, supply and demand balance and cascade energy complementation targets, and outputting a plurality of bidding strategy fitting results.
- 4. The watershed cascade water-light complementary optimization scheduling method for electric power market transaction according to claim 1, wherein the watershed cascade water-light complementary scheduling analysis is performed based on the independent power generation fitting modeling result and a plurality of bidding strategy fitting results, and comprises the following steps: Taking each bidding strategy fitting result in the plurality of bidding strategy fitting results as an analysis branch, and establishing a mapping branch sub-channel; In the mapping branch sub-channels, executing joint target solving analysis under the fitting result of the corresponding bidding strategy, and outputting channel optimizing solving results corresponding to each mapping branch sub-channel; and constructing a multi-objective optimization solving result according to the channel optimization solving result.
- 5. The method for watershed cascade water-light complementary optimization scheduling for electric power market transaction according to claim 4, wherein configuring the combined bidding strategy according to the multi-objective optimization solution result comprises: Acquiring a joint target fitness value of each bidding strategy fitting result according to the channel optimization solving result; carrying out joint weighted analysis by utilizing the joint target fitness value and the strategy priority value of the bidding strategy fitting result, and establishing fusion sequence sequencing; and configuring a combined bidding strategy according to the fusion order.
- 6. The method for watershed cascade water-light complementary optimal scheduling for electric market transaction according to claim 5, wherein configuring the combined bidding strategy according to the fusion order ordering comprises: acquiring an optimal sequencing result in the fusion sequence sequencing, and taking the optimal sequencing result as a main bidding strategy; calculating the strategy distance between the fitting result of the residual bidding strategy and the main bidding strategy by taking the main bidding strategy as the center and measuring the distance; After taboo is added to the bidding strategy fitting result with the strategy distance smaller than the preset distance threshold, screening a second ordering result which is not added with taboo in the optimal ordering result, and constructing an affiliated bidding strategy; And outputting the main bidding strategy and the auxiliary bidding strategy as a combined bidding strategy.
- 7. The method for watershed cascade water-light complementary optimization scheduling for electric market transactions according to claim 4, wherein executing the joint objective solution analysis under the fitting result of the corresponding bidding strategy comprises: constructing a plurality of objective functions, wherein the objective functions comprise a market gain maximization objective function, a supply and demand balance objective function, a cascade energy complementary stability objective function and a device health objective function, and performing weighted fusion on the objective functions to construct a combined objective function; And executing multi-objective optimization algorithm solution in the corresponding sub-channel based on the combined objective function, and establishing a channel optimization solution result.
- 8. The watershed cascade water-light complementary optimal scheduling method for electric power market transaction according to claim 7, wherein the cascade energy complementary stability objective function is as follows: ; Wherein, the The energy complementary stability of the steps is characterized, Characterization time Is provided with a hydraulic power generation device, Characterization time Is used for generating power of the photovoltaic power generation equipment, Characterization time Is a change rate of the generated power of the hydro-power generation device, Characterization time The rate of change of the generated power of the photovoltaic power generation apparatus, The total power of the water-light complementary power generation is used, Characterization time Is used for the power demand of the (c) in the (c), The time interval characterizing the step of time, Is the corresponding weight coefficient.
- 9. The watershed cascade water-light complementary optimization scheduling method for electric power market transaction according to claim 1, wherein the establishing of the independent power generation fitting modeling result further comprises: acquiring a predicted trust value of a dynamic environment factor; And executing trust identification of the independent power generation fitting modeling result according to the prediction trust value, and carrying out watershed cascade water-light complementary optimization scheduling management according to the independent power generation fitting modeling result after trust identification.
- 10. The watershed cascade water-light complementary optimization scheduling method for electric power market transaction according to claim 9, wherein a dynamic update period node of the independent power generation fitting modeling result is configured based on the prediction trust value, and verification collection of dynamic environmental factors is re-executed according to the dynamic update period node so as to update the independent power generation fitting modeling result.
Description
Watershed cascade water-light complementary optimization scheduling method for electric power market transaction Technical Field The invention relates to the technical field of power dispatching, in particular to a watershed cascade water-light complementary optimization dispatching method for power market transaction. Background The river basin cascade hydroelectric power and the photovoltaic power generation are taken as two important renewable energy forms, the hydroelectric power is stable and has strong adjusting capability, but is influenced by hydrologic conditions and cascade coupling constraint, the photovoltaic power generation is clean and low-carbon, the resource distribution is wide, the output has intermittence and volatility, the two are complementarily operated, the uncertainty of the photovoltaic power output can be stabilized to a certain extent, and the schedulability and the market competitiveness of the whole system are improved. In the power market environment, a reasonable bidding strategy is formulated according to market price signals and demand fluctuation for realizing the maximization of income, however, traditional river basin cascade scheduling mostly aims at maximizing the generated energy or meeting the preset load, electricity price fluctuation and trade variety diversity in the power market environment are not fully considered, such as spot and frequency modulation auxiliary service markets and the like, so that scheduling decisions and market behaviors are disjointed, economic benefit is not maximized, rapid adjustment capability of cascade hydropower and cost advantages of photovoltaics are not deeply coordinated in time, space and market dimensions, existing water-light complementary scheduling research is mostly concentrated on coordination control of physical layers, such as photovoltaic fluctuation is compensated through hydropower adjustment capability, or a power generation plan is formulated based on deterministic prediction in the market in the day, day/real-time market, daily electric energy market and frequency modulation market, and the change of the market environment is difficult to adapt, and in addition, river basin water-light complementation also faces constraint challenges such as hydraulic space-time coupling relation between hydropower, randomness of photovoltaic output, long-term influence of equipment operation health state and the like in the power market. In the related technology at the present stage, the technical problems that the scheduling does not fully consider the electric power market environment, and the economic benefit is limited due to the fact that the dual uncertainty of photovoltaic output and electricity price and insufficient water-light resource coordination are difficult to deal with. Disclosure of Invention The application provides the watershed cascade water-light complementary optimization scheduling method for the electric power market transaction, which solves the technical problems that the scheduling in the prior art does not fully consider the electric power market environment, is difficult to cope with the problem that the economic benefit is limited due to the double uncertainty of the photovoltaic output and the electricity price and the insufficient water-light resource synergy, and achieves the technical effect of improving the overall benefit and the risk resistance of the watershed cascade water-light complementary in the electric power market through the complementary strategy of the multi-market synergy and the risk optimization. The application provides a watershed cascade water-light complementary optimal scheduling method for electric power market trading, which comprises the steps of after dynamic environment factors are collected, executing independent power generation fitting modeling by combining equipment states of hydroelectric power generation equipment and photovoltaic power generation equipment and historical electric power production data, establishing independent power generation fitting modeling results, obtaining price fluctuation and electric power demand data of an electric power market, constructing N typical power utilization scenes according to the price fluctuation and the electric power demand data, executing bidding strategy fitting based on the equipment states and real-time price fluctuation under the N typical power utilization scenes, establishing a plurality of bidding strategy fitting results, and executing watershed cascade water-light complementary scheduling analysis based on the independent power generation fitting modeling results and the bidding strategy fitting results, wherein the watershed cascade water-light complementary scheduling analysis takes market gain maximization, supply-demand balance constraint, cascade energy complementary stability constraint and equipment health constraint as combined targets, executing multi-target optimal solution, configuring a combined bi