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Energy Optimization of Distribution Network with Distributed Generation
ABSTRACT
Nowadays, the Distributed Generation (DG) is promoted on a wide scale in many countries driven by the problems of energy shortage and environmental pollution. Since the DG can satisfy the specific requiremen ts of power system and power customers, and improve the reliability and economy, the permeability of DG is increased continuously. The traditional distribution network structure is changed with the access of DG, and the output power of DG has characteristi cs of randomness, which complicate the energy management and optimal operation of distribution network.
The energy optimization of distribution network with distributed generation was studied in this paper, including economic dispatching and optimal power flow. For the question of economic dispatching, based on the mathematical models of distributed generation including solar power, wind power, fuel cell, diesel and battery, the objective functions and energy dispatching strategies of the renewable energy distribution generation system were presented. The objective functions were calculated with the priority list method and the simulation results showed the correctness and validity of the models and algorithms. For the question of optimal power flow, it established optimal power flow models for three objective functions including minimizing generation cost, pollution processing cost and active power loss. The back/forward sweep method was used to calculate power flow, and the self-adaptive move-step size was introduced to Tabu search algorithm to solve the optimal power flow. Through calculating the IEEE 33 -node example system, it verifies the validity of the models and algorithm.
In addition, for the uncertainties abundantly existed in power market, on the basis of a review of the research methods of uncertainty, a new model for describing the uncertainties, which combined interval number and fuzzy number, was proposed in this p
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