High Voltage Substation Planning Of Urban Electric Power Networks Based On PSO-Weighted Kruskal Algorithm

Urban power system is the main component of power network and the main load center of a load density, and the load to the rapid growth, electricity reliability requirements higher characteristic. It is the important factor what influences the rapid development of urban economy, the rapid and stable development of urban construction and the constantly raising the level of material and cultural life of urban residents that the quality of power urban power supply system. In order to ensure safety, reliability and economic operation of urban power system, urban power system planning is being paid more and more attention at home and abroad.The substation is the important equipment and the main power supply circuit of urban power system. The substation is the important equipment and the main power supply circuit of urban power system. Whether the size and location of substation is proper or not is the direct factors that influence the structure, security, economy and reliability of urban power system. So how to reasonably optimize the substation is the important part of urban power system planning and it is also the important link between the saturated load forecasting of the urban power system and future urban power network planning.The substation of urban power network planning includes choosing the size and location. The current substation planning is used to choose unified model to optimize the size and location of substation. Substation planning is affected by many factors such as saturated load forecasting, operation condition of existing substations, the structure of existing network, ratio of power capacity and load, reliability, geographical environment and policy decision. Using unified model to solve the substation planning may lead to that the mathematic model is too complicated or the final planning scheme is infeasible for it is too simplified or it is affected too much by anthropogenic factors. In order to settle the above-mentioned problems, this paper decoupling the capacity and position of substation and presents the substation sizing model and the substation locating model considered the geographical factors penalty function. The model established in our paper can consider Non-quantitative factors enough, such as overall urban planning, economic constraints factors and policy effect and makes the final planning effective and feasible.As a complicated, nonlinear, mixed integer programming model, the model of substation planning is solved by traditional mathematical optimization algorithm and intelligent algorithm. But traditional mathematical algorithm is complex to solve and has slow operation speed, while intelligent algorithm maybe can’t converge or converge early. For substation planning is affected by many anthropogenic factors such as economic factors and policy decision, the final planning not only pursue the economic optimum but also meeting the requirements. So this paper presents the substation sizing model considering the personnel experiences of planners and presents the PSO combined with Weighted Kruskal algorithm to solve the location and power zone division. The final substation planning solved by the above method can meet the practical engineering requirements, and is scientific, reasonable and economy.By using the model and algorithm presented in this paper to solve substation planning of Qingzhou, this paper analysis the influence of weight modifier on final planning, verifies the rationality and feasibility of the model and it also verifies that the PSO combined with Weighted Kruskal algorithm has the characteristics of high calculation speed and good convergence. The simulation results verify the practical application value of the model and algorithm presented in the paper.