Economic Dispatch for Power System Considering Fuzzification of PV Output and Costs of Rotating Reserve Capacity

Abstract

With the increasing permeability of photovoltaic power generation in the power grid, the uncertainty of its output has puts forward new requirements to the economic dispatch for power system. To achieve economic operation, dynamic economic dispatch is used in the optimization of thermal power unit output. In order to reflect the costs of the economic operation of power system more objectively, the costs of rotating reserve capacity are taken into consideration in the cost function. Then, fuzzy chance constraint is established based on credibility theory, to make the results more in line with the decision-maker’s subjective intention. Traditional particle swarm optimization (PSO) algorithm is simplified, to optimize the economic operation model of power system. Through the numerical example proved the effectiveness of the proposed method.