Optimal Power System Dispatch And Decision Making

The world has been confronted with the era of energy crisis and global warming as the increasing depletion of the traditional energy, such as coal, oil, natural gas, etc. As one of the high energy-consuming industries, power system relies on these traditional energy sources heavily, which have been paid much attention by national scientific community and industry personnel. It is noted that China has already proposed energy saving strategy, and clearly pointed out that the power system is the key areas of energy conservation. Especially with the increasing development of smart grid technology, the world has focused on the research on energy-efficient scheduling of traditional energy and intensifying the integration of renewable energy into power system. It is evident that the purpose is to reduce the consumption of conventional energy and emission of greenhouse gases. Therefore, the rational use of various resources of power systems, including conventional energy and renewable energy sources(wind power), and the achievement of optimal operation of the power system, are of great practical significance for energy conservation. In this dissertation, the traditional energy model, the renewable energy based grid operation mode and multi-objective optimization model to study the optimal dispatch of power systems.(1) In the traditional energy model, the aim is to find the optimal solution to the determined optimal power system dispatch problem, using high-efficient optimization algorithms. A nature-inspired optimization algorithm, group search optimizer with intraspecific competition and lévy walk(GSOICLW) is proposed based on the original group search optimizer(GSO) algorithm. Simulation studies testing benchmark functions have proved the effectiveness of the improved algorithm. Then GSOICLW is applied to optimize the optimal power flow(OPF) problem, considering the constraints of the actual operation of the power system. Simulation results show that the feasibility and effectiveness of the proposed optimization algorithm to solve optimal power syatem dispatch.(2) In the renewable energy based grid operation mode, power system dispatch is an uncertain optimization problem. Considering the probability distribution of wind speed prediction error, the portfolio theory is applied to take the economy and risk of dispatch solutions into account. Then a co-evolutionary based group search algorithm is used to optimize the economy and the risk simultaneously, and the preference ranking organization method is used for decision making to determine the final dispatch solution. The research can provide a new and feasibile framework to solve the optimal power system dispatch considering the integration of large-scale wind power.(3) For the operating mode of multi-objective optimization, it is a multi-attribute decision-making problem of optimal power system dispatch. In the perspective of multi-attribute decision-making point of view, the focus is to how to choose the final dispatch solution of a multi-objective power system dispatch. This desseration indicates it is necessary to not only consider the weights of multiple objectives, but also take dispatchers’ cognitive uncertainty into account. Based on the proposed decision-making framework for multi-objective power system dispatch, evidence reasoning approach is used to choose the final dispatch solution, which can provide dispatches with scientific reference to conduct decision making.