Environmental Economic Dispatch In Power System Based On MOBCC Algorithm

Scheduling is an important part of the normal operation of power system, it must ensure the system safety operation and the reliable, uninterrupted and high-quality power supply of load. As electricity is widely used in social production and all aspects of the life, economic dispatch plays an import part in saving all the social cost of production. Among the whole electric power industry coal-fired power accounts for a large proportion and it discharges a large amount of pollutants causing severe damage to the environment in the process of power generation. Therefore, it is necessary to cling the environment consciousness from the power system economic operation, so the paper in-depth studies on the environment economic dispatch(EED) focusing on seeking better theory method for EED. In this paper, the research content is as follows:First of all, the multi-objective Bacterial Colony Chemotaxis(Multi-objective Bacterial Colony Chemotaxis, MOBCC) algorithm is studied. Bacterial colony chemotaxis is often applied to function optimization problem, while the optimization mechanism in the discrete domain optimization can’t perform very well. To solve the above problems, discrete space is projected to continuous space, which makes the optimizing update characteristic of MOBCC can make a difference in discrete space. In order to prevent optimization algorithm from falling into local optimum, chaos migration operation is introduced; in order to verify the optimal performance of the improved algorithm, the standard test functions are simulated, and the performance test indexes are calculated to indicate the comprehensive performance of the algorithm.Secondly, considering that the carbon capture power plant has the characteristics of emission reduction and carbon dioxide(CO2) capturing, the paper establishes environment economic dispatch model with CO2 emissions as the objective function. Power grid transmission loss(in the following narrative it is called “network loss” for short, and here it mainly refers to the line loss) is considered, which is calculated by B-coefficient method. the TOPSIS method is used to choose compromise solution from the optimal solution concentration; the process of solving environment economic operation using MOBCC are presented, and the performance of MOBCC is verified through simulation, and the carbon emission reduction function of the carbon capture is analyzed through different situation simulations.Then, in view of the uncertainty of wind power and load, environmental economic robust dispatch model combined with robust optimization theory is put forward. Different from random optimization method, the robust optimization method does not need the probability density function of the uncertain factors such as wind and load, and it is able to find out the corresponding robust dispatch policy as long as the uncertain scope is given. In order to quantize the robustness, the average effective objective function is introduced to guide the algorithm optimization to gain anti-interference dispatch strategy; solving process of environmental economy robust scheduling is given, and the influence of uncertainty on the system scheduling decisions is analyzed through simulation.Finally, in order to study the influence of big users direct power purchase on economic and environmental cost of the system, the paper sets up dynamic environment economic dispatch model considering big users direct power purchase. Because the direct power purchase strategies strengthen the dispatch model variables constraints, the calculation speed of the algorithm is increased, so this paper adopts the constraint processing strategy to improve MOBCC algorithm. According to the characteristics of the dynamic dispatch, network loss computation is based on Newton-Raphson method. Different simulation examples are performed, and performance of the algorithm and the impact of direct power purchase strategy to the system are verified through the results.