PATENT CLAIM ANALYSIS

Application Number: 16322829
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["700", "287000"]

Abstract:
The invention that relates to the field of hydropower scheduling presents a method for long-term optimal operations of interprovincial hydropower system considering peak-shaving demands. It can take full advantage of the differences of hydrological characteristics among hydropower plants on different rivers to implement compensation operations of interprovincial hydropower system. In this operation, typical daily load demands during dry season are considered to optimize the allocation of hydropower production over one year. The purpose is to increase the dispatchable generation capacity for peak demands of power grids. The technology scheme of the invention can be summarized as follows. A multi-objective model of hydropower system operations is established with maximizing generation production and minimizing the difference rate between peak and valley load during dry period. The difference of hydrological characteristics and regulation performance between rivers and plants are utilized to divide all power plants into several groups and their calculation order. A hybrid algorithm that integrating progressive optimality algorithm and discrete differential dynamic programming is presented to optimize monthly reservoir levels of hydropower plants. During optimization, a load reconstruction-based strategy is used to handle time-coupled network security constraints so that feasible hourly generation schedules for peak-shaving are easily obtained. An iterative procedure is executed to obtain the optimal monthly generation schedules and hourly power curves at the typical day of each month. The invention can make full use of the compensation operation characteristics of hydropower plants to meet the demands of coordinating monthly generation production and daily peak power. It is capable of providing the support for interprovincial power transmission and joint operations of China's huge hydropower plants such as Xiluodu and Jinping.

Claim (Index 1):
A method for long-term optimal operations of interprovincial hydropower plants considering peak-shaving demands, the method comprising the following steps:\n Step 1. Read basic data and initialize calculation parameters, including operation conditions and constraints of hydropower plants, control targets, network constrains about ultra high voltage direct current(UHVDC) transmission lines, monthly average load of recipient power grids, and hourly load curve at the typical day of each month; Step 2. Establish an optimization model for long-term operations of interprovincial hydropower plants, with two objectives of maximizing generation production and minimizing the difference rate between peak and valley load(DRBPAV) during dry period; Step 3. Determine the initial solution of the above model; The optimization problem with one objective of maximizing generation production is solved and its solution is taken as the initial solution; Here, the DRBPAV at each typical day of dry season can be calculated and the maximum among them is denoted as R 0 ; Set R=R 0  Step 4. Set the upper bound of the DRBPAV during dry period, R=R 0 \u22120.01; Step 5. Set the iteration number k=0; Step 6. Let the current time period t=1, and define T as the total number of time periods during the whole operation horizon; Step 7. Divide all hydropower plants into N groups; Step 8. Reset the discharge step \u03b5=\u03b5 0 ; Step 9. Judge whether the hydropower plant involved in the calculation is in the flood season; If so, the calculation will be given priority; otherwise, it will be carried out after the plants that are in the flood season are solved; The order of the plant group with the highest priority is defined as n=0; Step 10. Deal with the upper bound of the DRBPAV, transmission limitations, and conventional plant constraints, and utilize a POA-DDDP based method (POA is progressive optimality algorithm and DDDP is discrete differential dynamic programming) to search the optimal discharges of two-stage problem at periods t and t+1 with the current optimization objective; Meanwhile, the load shedding method is used to determine the hourly generation curve at typical days; Thus, the R t  and R t+1  at periods t and t+1 can be obtained; Step 11. Set n=n+1; If n<N, then repeat Step 10; otherwise, go to Step 12; Step 12. Determine whether there is any change of reservoir levels of hydropower plants in the two adjacent optimization results; if not, then go to Step 13, otherwise repeat Step 9; Step 13. Reduce the discharge steps \u03b5=\u03b5/2, and determine whether the new search step meets the specified requirements; If so, go to Step 9; otherwise, go back to Step 14; Step 14. Let t=t+1, and if t>T, let k=k+1 and go to Step 15; otherwise, go back to Step 8; Step 15. Judge whether there is any change of reservoir levels of all hydropower plants in the current iteration; if not, go to Step 16; otherwise, go back to Step 6; Step 16. Calculate the maximum DRBPAV using R max =max{R t \u2032}. where t\u2032 the period set that denotes all months in dry season; Step 17. If R max <R, take the operation scheme as a feasible one, R=R\u22120.01 and then go back to Step 4; otherwise, the calculation stops.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 1.91946
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15303403', '14053432', '15722172', '12383569', '12687827']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3483708501640581
- 35 USC 102 Novelty (BERT): 0.4804671858561334
- Combined Prediction Score: 0.3615804837332656
- Mean Citation Score: 164.89995600000003
- Max Citation Score: 229.71404
- Similarity Product: 192.52453183238984

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test