Abstract

Short-term load dispatching (STLD) for a hydropower plant with multiple turbines in one tunnel (HPMTT) refers to determining when to startup or shutdown the units of different tunnels and scheduling the online units of each tunnel to obtain optimal load dispatch while simultaneously meeting the hydraulic and electric system constraints. Modeling and solving the STLD for a HPMTT is extremely difficult due to mutual interference between units and complications of the hydraulic head calculation. Considering the complexity of the hydraulic connections between multiple power units in one tunnel, a two-phase decomposition approach for subproblems of unit-commit (UC) and optimal load dispatch (OLD) is described and a two-stage model (TSM) is adopted in this paper. In the first stage, an on/off model for the units considering duration constraints is established, and the on/off status of the units and tunnels is determined using a heuristic searching method and a progressive optimal algorithm. In the second stage, a load distribution model is established and solved using dynamic programming for optimal load distribution under the premise of the on/off status of the tunnel and units in the first stage. The proposed method is verified using the load distribution problem for the Tianshengqiao-II reservoir (TSQII) in dry season under different typical load rates. The results meet the practical operation requirements and demonstrate the practicability of the proposed method.

Highlights

  • With abundant hydropower resources, China has a total theoretical hydropower potential of GW and a total technical exploitable hydropower installed capacity of 542 GW [1]

  • A two-stage model (TSM), a unit on/off model, and a load distribution model are proposed to solve the subproblems of UC and optimal load dispatch (OLD)

  • This paper proposes an effective approach, in which Short-term load dispatching (STLD) for the HPMTT problem is decomposed into the subproblems, UC and OLD

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Summary

Introduction

China has a total theoretical hydropower potential of GW and a total technical exploitable hydropower installed capacity of 542 GW [1]. Involves the grid demands, the complexity of hydraulic connections, and other electrical there are more complicated problems associated with a hydropower plant with “a hydroturbine set constraints. The vibration zones, combined with complex constraints such as satisfying limitations on the duration of online/offline, make it more difficult to find reasonable and feasible operations of STLD for the HPMTT These problems present a tremendous challenge for modeling and solving an HPMTT in China. Many researchers have used various mathematical programming and optimization techniques and have considered different kinds of constraints or multiple objectives, to solve STLD problems, featuring nonlinear, nonconvex, and large-scale characteristics. The heuristic searching method and progressive optimal algorithm (POA) used to search the desirable subproblems of unit-commit (UC) for the STLD of the HPMTT problem with complicated duration period requirements are proposed.

Two-Stage Model
Influencing Factors of STLD for the HPMTT Problem
Hydraulic and Electrical Connections of HPMTT
Penstock Head Loss
Objective Function
Constraints
Model Solution
Solution Approach
Search Process of Single-Period Feasible Solution Space
Initial Feasible Solution Generation of Multiperiod
Optimization Process Based on Progressive Optimality Algorithm of Multiperiod
Solution of Load Distribution Model
Two-Phase Decomposition Approach for Solving STLD of HPMTT Problem
Background
Analysis of Water Consumption for Different Startup Modes
Comparison of Homogeneous Dispatch and TSM
Findings
Conclusions
Full Text
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