Day-Ahead Spot Clearing for Hydropower Absorption Across Markets
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Solution Overview
Problem
The challenge lies in effectively connecting cross-provincial and cross-regional electricity markets to promote efficient hydropower absorption, as existing methods fail to optimize resource allocation and accurately match power and water in hydropower systems, especially in regions with high hydropower proportion, such as Yunnan and Sichuan, due to differences in market rules and mechanisms.
Innovation Solution
A coordination method for electricity supply and recipient market day-ahead spot clearing is developed, incorporating a day-ahead spot clearing model with spillage constraints to minimize power purchase cost, and an iterative hydropower scheduling boundary updating strategy to ensure accurate power and water matching, coupled with a DC transmission plan adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional thermal power spot clearing model is used for high-proportion hydropower system, then the model structure is simple and easy to implement, but it cannot accurately match power and water of cascaded hydropower stations and fails to consider nonlinear hydraulic characteristics
Solution Approach 1:
The patent transforms the conventional thermal power clearing model into a hydropower-adapted model by changing key parameters: introducing water flow parameters (Qi,tlocal, Qi-1,tout), storage capacity parameters (ΔVi), and hydraulic time-delay parameters. These parameter changes enable the model to reflect nonlinear hydraulic characteristics while maintaining the mathematical programming framework, thus achieving both implementability and accuracy.
Solution Approach 2:
The patent segments the hydropower clearing problem into distinct components: power generation decisions (Pi,t), water flow management (Qi,tlocal), storage operations (ΔVi), and spillage control (Ni,tspill). This segmentation allows each aspect to be modeled separately with appropriate constraints, making the complex hydropower system manageable while preserving accurate power-water matching through coordinated optimization.
2Quantity of substance
If cross-provincial and cross-regional markets are connected through multi-party framework agreements, then hydropower absorption is achieved, but market-based transaction settlement and efficient resource allocation are limited due to differences in market rules and mechanisms
Solution Approach 1:
The patent introduces a coordinated market clearing mechanism as an intermediary layer between supply market and recipient market. This intermediary uses iterative clearing processes that translate between different market rules and mechanisms, enabling cross-provincial hydropower transactions while maintaining compatibility with local market regulations. The coordination layer acts as a mediator that reconciles market differences.
Solution Approach 2:
The patent implements dynamic market clearing that adapts to different market conditions through iterative processes. The clearing mechanism dynamically adjusts transmission plans (Ps,tout), pricing signals, and transaction volumes based on real-time market states, hydropower availability, and demand conditions. This dynamic approach enables flexible adaptation to varying market rules while maintaining efficient hydropower absorption.
3Ease of operation
If sequential clearing method is used for inter-provincial and intra-provincial markets, then clearing process is simple, but joint optimal allocation of resources across provinces and regions cannot be achieved
Solution Approach 1:
The patent implements a feedback-based iterative clearing mechanism where clearing results from one market are fed back to adjust clearing parameters in connected markets. The process uses feedback loops to exchange information about transmission constraints, pricing signals, and resource availability between supply and recipient markets, progressively improving resource allocation efficiency while maintaining operational simplicity through structured iteration.
Solution Approach 2:
The patent structures the coordinated clearing system as nested iterations: inner iterations clear individual markets (intra-provincial and inter-provincial separately), while outer iterations coordinate these markets jointly. This nested structure allows simple sequential clearing operations at each level while achieving joint optimal allocation through the coordination layer, combining simplicity with efficiency.
4Productivity
If joint clearing method is used for inter-provincial and intra-provincial markets, then wide-area spatial and temporal optimal allocation is achieved, but clearing model complexity and computational burden increase significantly
Solution Approach 1:
The patent segments the joint clearing problem into modular components that can be solved separately and coordinated: power generation modules, water flow modules, transmission modules, and pricing modules. Each segment has its own constraints and optimization objectives, reducing model complexity while maintaining joint optimality through coordination constraints that link the segments together.
Solution Approach 2:
The patent employs dynamic iterative clearing that progressively builds toward joint optimal allocation. Rather than solving the entire complex system simultaneously, the method dynamically adjusts clearing parameters across iterations, starting from initial market-clearing solutions and progressively incorporating cross-market constraints and coordination requirements. This dynamic approach reduces computational burden by breaking down the complex problem into manageable iterative steps.
Data Source
AI summary
The invention relates to the fields of electricity market and hydropower dispatching and operation, focusing on a coordination method of electricity supply and recipient market day-ahead spot clearing considering hydropower absorption. The clearing model of minimizing the power purchasing cost is constructed considering the DC transmission plan to determine the boundary conditions of the giant hydropower station generation capacity in the supply market, start-off, ramping, upstream and downstream influence power, and coupling the non-linear characteristics of hydropower and the spillage control requirements, which can optimize the day-ahead spot power of the whole network in the supply market. The update strategy for the DC scheme is proposed, which can dynamically adjust the boundaries of outgoing power and update to the recipient market clearing model based on the spillage of the power station and the control of the grid cross section, and iteratively clear until convergence.