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Study on Power Market Short-term Optimization Problems

Author: WangFeng
Tutor: BaiXiaoMin
School: China Electric Power Research Institute
Course: Proceedings of the
Keywords: Electricity market Generation Plan UNIT Genetic Algorithms Power Pool OPF Real-time pricing Available Transfer Capability
CLC: F407.61
Type: PhD thesis
Year: 2003
Downloads: 623
Quote: 7
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Abstract


This paper reviews the development of the electricity market at home and abroad, the technical background to carry out short-term electricity market operation optimization problem research, focusing on research UNIT Power Pool market auction market short-term optimization of market transactions and the node price calculation and computing power transmission capacity The problem, the main content and the results are as follows: (1) In this paper, a genetic algorithm (GA) is applied to the unit commitment problem specific implementation technology in-depth study to achieve a different sample space, different selection strategies, different fitness function and different cross / Genetic Algorithm for Unit calculation procedures of the mutation rate on the 10-machine systems and 110 machine simulation analysis and comparison. The results show that varying degrees of effectiveness of various implementation techniques, genetic algorithm is applied to the unit commitment problem, different implementations of the genetic algorithm technology convergence time convergence of algebra and convergence value also has a larger impact. In computing research based on genetic algorithm applied to the unit commitment problem specific implementation techniques, genetic algorithm is applied to the unit commitment problem, practical research has laid a solid foundation. (2) In this paper, the power pool market auction using dynamic programming method to deal with stand-alone set of optimization problems using LR (Lagrangian relaxation algorithm), the combination of sub-optimal treatment and economic dispatch method for solving the market equilibrium point. This method can avoid the disadvantage of LR calculation instability, given the marginal price of each generating unit plans and market to ensure that at the level of sub-optimal solution. 10 systems and 110 machine system simulation show that this method is stable and reliable convergence, convergence with satisfactory results have practical significance. (3) In this paper, the DC-OPF and AC-OPF-based electricity trading mathematical model derived node price of each component is calculated, the node price characteristics and node-based electricity market participants in the balance of payments situation. Illustrates the the node price calculated based on the DC-OPF to reflect transmission congestion the node price calculated based on AC-OPF include all nodes tariff component, and reflects the interaction between the active and reactive power nodal price. Through detailed examples to verify the correctness of the node price its component theoretical. (4) The calculation of available transmission capacity has become an important part of the electricity market research, the total transmission capacity is the basis for the calculation of available transmission capacity. This paper describes the available transmission capacity calculation of basic concepts and principles of calculation based on the establishment of a computational model based on the total transmission capacity of the optimal power flow (OPF), six kinds of inter-regional transmission capacity equivalent to calculating the objective function and by Theorem proved the equivalence of the six objective function under certain conditions. In this paper, the IEEE-30 node system simulation verify the feasibility of the total transmission capacity is calculated based OFP, verify the correctness of the proposed theorem by an example.

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