Spatial Generation Expansion Planning Considering Wind Power Plants

Nowadays, increasing concerns on environmental protection have attracted interests of the public opinion. Environmental impacts need be carefully considered in power system planning problems. However, it is a challenging issue due to complex and diverse environments. Meanwhile, the rapid development of economic puts increasing pressure on the energy supply, strengthening efforts to develop renewable energy has become an inevitable choice to achieve the goal of sustainable development of both economy and energy. Wind power is now a renewable energy generating mode that can be commercialized at present. However, its volatility and anti-peak-characteristic, introduces extra difficulties for power system planning.To solve these problems, this paper presents a nonlinear formulation for spatial generation expansion planning considering both characteristics of wind power and requirements of generation expansion planning in order to realize optimal planning. Power output of wind turbines highly depends on wind speed through turbines, distribution of wind resource differs by its geographical position, so this paper use rasterizing map to represent distribution of wind resource. Furthermore, construction costs of generation technologies differ on various raster. Therefore, the proposed spatial generation expansion planning effectively improves the accuracy of generation expansion planning. In addition, considering the anti-peaking characteristic of wind power, its output usually does not coordinate with system load. To improve the accuracy of the planning result, relationship between system load and wind intensity should be take into account. This paper handles the uncertainty between load and wind power output with multi scenario analysis based on load duration curve and wind speed duration curve, and derives an uncertain generation expansion planning model integrating wind and thermal power.The objective is to minimize the total construction and operation cost, subject to output constraints of generations, total installed capacity equation, constraints of system active power balance, constraints of line capacity, DC power flow equation, constraints of fuel supplement and so on. A hybrid genetic algorithm and linear programming approach are applied for solving the complicated problem. In the hybrid approach, the genetic algorithm is devoted to handle the combinational nature of generation expansion, while the linear programming is used for solving economic dispatch of individuals generated by genetic algorithm.The simulation of the proposed approach is implemented in MATLAB. Impacts of unit investment of wind plants, price of fuel, subsidy of wind power and line capacity on the spatial generation expansion planning are investigated. Numerical examples demonstrate the effectiveness of the proposed approach.