Large-scale hydropower system optimization using dynamic programming and object-oriented programming: the case of the Northeast China Power Grid

2013 ◽  
Vol 68 (11) ◽  
pp. 2458-2467 ◽  
Author(s):  
Ji-Qing Li ◽  
Yu-Shan Zhang ◽  
Chang-Ming Ji ◽  
Ai-Jing Wang ◽  
Jay R. Lund
Keyword(s):  
Dynamic Programming ◽  
Northeast China ◽  
Large Scale ◽  
Object Oriented ◽  
System Optimization ◽  
Curse Of Dimensionality ◽  
Optimal Operation ◽  
Object Oriented Programming ◽  
Computer Memory ◽  
Hydropower System

This paper examines long-term optimal operation using dynamic programming for a large hydropower system of 10 reservoirs in Northeast China. Besides considering flow and hydraulic head, the optimization explicitly includes time-varying electricity market prices to maximize benefit. Two techniques are used to reduce the ‘curse of dimensionality’ of dynamic programming with many reservoirs. Discrete differential dynamic programming (DDDP) reduces the search space and computer memory needed. Object-oriented programming (OOP) and the ability to dynamically allocate and release memory with the C++ language greatly reduces the cumulative effect of computer memory for solving multi-dimensional dynamic programming models. The case study shows that the model can reduce the ‘curse of dimensionality’ and achieve satisfactory results.

scholarly journals Combined Aggregated Sampling Stochastic Dynamic Programming and Simulation-Optimization to Derive Operation Rules for Large-Scale Hydropower System

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 625
Author(s):  
Xinyu Wu ◽  
Rui Guo ◽  
Xilong Cheng ◽  
Chuntian Cheng
Keyword(s):  
Dynamic Programming ◽  
Stochastic Dynamic Programming ◽  
Large Scale ◽  
Simulation Optimization ◽  
Optimal Operation ◽  
Stochastic Dynamic ◽  
Operation Model ◽  
Two Stage ◽  
Operation Rules ◽  
Reservoir Systems

Simulation-optimization methods are often used to derive operation rules for large-scale hydropower reservoir systems. The solution of the simulation-optimization models is complex and time-consuming, for many interconnected variables need to be optimized, and the objective functions need to be computed through simulation in many periods. Since global solutions are seldom obtained, the initial solutions are important to the solution quality. In this paper, a two-stage method is proposed to derive operation rules for large-scale hydropower systems. In the first stage, the optimal operation model is simplified and solved using sampling stochastic dynamic programming (SSDP). In the second stage, the optimal operation model is solved by using a genetic algorithm, taking the SSDP solution as an individual in the initial population. The proposed method is applied to a hydropower system in Southwest China, composed of cascaded reservoir systems of Hongshui River, Lancang River, and Wu River. The numerical result shows that the two-stage method can significantly improve the solution in an acceptable solution time.

Object-Oriented Applications in Marine Hydrodynamics

2012 ◽  
Author(s):  
Piotr J. Bandyk ◽  
Justin Freimuth ◽  
George Hazen
Keyword(s):  
Large Scale ◽  
Object Oriented ◽  
System Of Systems ◽  
Object Oriented Programming ◽  
Marine Hydrodynamics ◽  
Natural Approach ◽  
Complex Problems ◽  
Systems Model

Object-oriented programming offers a natural approach to solving complex problems by focusing on individual aspects, or objects, and describing the ways in which they interact using interfaces. Modularity, extensibility, and code re-use often make OOP more appealing than its procedural counterpart. Code can be implemented in a more intuitive way and often mirrors the theory it derives from. Two examples are given in the form of real programs: a 3D panel code solver and a system-of-systems model for seabasing and environment sensing. Both are examples of large-scale frameworks and leverage the benefits offered by the object-oriented paradigm.

From the Islands of Automation to the Knowledge Archipelago: The Challenge for Manufacturing Strategy in the 1990s

1993 ◽  
Vol 207 (3) ◽  
pp. 141-146 ◽  
Author(s):  
J A Brandon
Keyword(s):  
Manufacturing Systems ◽  
Large Scale ◽  
Work Groups ◽  
Object Oriented ◽  
Object Oriented Programming ◽  
Programming System ◽  
Manufacturing Strategy

The paper examines the complementary issues of the availability of novel technological ideas and the receptiveness of managerial infrastructure. It suggests that the apparently conflicting philosophies of the technological minimalists, who seek to restore manufacturing effectiveness by empowerment of work groups, and those who advocate large-scale automation of manufacturing systems in cellular form can be reconciled using ideas from object-oriented programming system.

COMPUTER ALGEBRA AND ITS APPLICATIONS IN PHYSICS

1992 ◽  
Vol 03 (06) ◽  
pp. 1333-1350 ◽  
Author(s):  
W.-H. STEEB
Keyword(s):  
Computer Algebra ◽  
Wide Class ◽  
Large Scale ◽  
Object Oriented ◽  
Object Oriented Programming

Computer algebra is a powerful tool in the study of a wide class of problems in mathematics, physics, and engineering. The primary domain of computer algebra is the solution of large scale formal problems. We give an introduction and survey on computer algebra. In particular we show with examples how problems in physics can be solved. We also show with an example how object-oriented programming can be used in such problems.

A Fuzzy-Dynamic-Programming Approach to the Scheduling of Cascaded Hydropower Plants

2013 ◽  
Vol 760-762 ◽  
pp. 2028-2036
Author(s):  
Jin Zou ◽  
Feng Pan
Keyword(s):  
Dynamic Programming ◽  
Numerical Test ◽  
Main Idea ◽  
Optimal Operation ◽  
Programming Approach ◽  
Dynamic Programming Approach ◽  
Hydropower Plants ◽  
Hydraulic Coupling ◽  
Hydropower System

An optimization-based algorithm is presented for the optimal operation of hydropower systems with cascaded hydro-plants. Continuous reservoir dynamics and constraints, discrete operating states, and hydraulic coupling of cascaded hydro-plants are considered in an integrated way. The main idea is to decompose the cascaded hydro-plants into individual plants, and then use Fuzzy Dynamic Programming (FDP), rather traditional Dynamic Programming (DP), to solve the subproblem of each plant while considering the hydraulic coupling of the plants. Numerical test shows that this method converges very fast, and is efficient and effective to deal with hydropower system with cascaded hydro-plants.

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