Dynamic economic dispatch optimization method for independent power grid containing intermittent energy

Abstract

The invention discloses a dynamic economic dispatch optimization method for an independent power grid containing intermittent energy. The minimum running cost of a system and the optimal output power of each distributed generation unit in each period are solved effectively by introducing power balance, system spare capacity, unit output, unit start-stop shortest time and other constraints into dynamic economic dispatch and based on an optimization objective function of active power distribution between distributed power supplies and an energy storage system and according to random fluctuation change of system load and wind power under different conditions. An independent power grid dynamic dispatch strategy based on interactive collaboration between a battery energy storage system and a diesel generator set is proposed. The optimal economic operation power range of the diesel generator set and the base point of collaborative dispatch between the diesel generator set and the battery energy storage system are given. The accuracy and efficiency of system economic dispatch optimization are greatly improved in a limited dispatch time period. The minimization of total operating cost of the optimization goal on the basis of stable and reliable operation of the system is ensured.

Description

Technical field [0001] The invention relates to a microgrid operation control technology, and more specifically, to a dynamic economic dispatch optimization method of an independent microgrid containing intermittent energy. Background technique [0002] An independent microgrid with intermittent energy usually refers to a small power system that is isolated from the large power grid and is independently powered by distributed power sources such as wind turbines and internal combustion engines in the system to the loads under its jurisdiction. It has become a solution or improvement for remote areas and islands. An important method and effective way to disperse power demand, such as the wind and diesel storage microgrid on Kythnos Island in Greece and the wind and diesel storage microgrid on Dongao Island in Zhuhai. In order to cope with the impact of the inherent randomness and intermittent output of high-permeability intermittent power sources such as wind power on the system, a...

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Problems solved by technology

[0004] Through the literature search of the existing technology, it is found that the steady-state modeling and operation optimization of the centralized control microgrid system (Ding Ming, Zhang Yingyuan, Mao Meiqin, etc. Steady-state modeling and operation optimization of the centralized control microgrid system[J]. Electric Power System Automation, 2009,33(24):78-82.) proposed four optimization objective functions with the lowest operating and depreciation costs, and the highest environmental and comprehensive benefits, which belonged to static scheduling and did not consider the interaction between various time periods

Economic operation optimization of independent microgrid system considering the characteristics of energy storage system (Chen Jian, Wang Chengshan, Zhao Bo, etc. Economic operation optimization of independent microgrid system considering the characteristics of energy storage system[J]. Electric Power System Automation, 2012, 36(20 ): 25-31.) For the independent microgrid of wind, diesel and storage, establish a microgrid economic operation optimization model that takes into account equipment damage cost, maintenance cost, fuel cost and environmental cost, and satisfies the constraint conditions of system power balance and unit output limit, However, constraints such as system adjustable capacity and ramp rate are not considered

Chinese invention patent (application number: 201410250953.3) proposes a two-layer economic scheduling optimization method for an independent micro-grid system, which is divided into two layers: controllable micro-power start-stop plan formulation and micro-grid real-time optimal scheduling, to minimize power generation costs and environmental costs The minimum is the optimization objective, and the fuzzy membership variable is introduced to transform the fuzzy multi-objective optimization problem into a nonlinear single-objective optimization problem, and the algorithm is relatively complicated

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