Wind-Hydro-Thermal Dynamic Economic Dispatch Based On Two-Stage Stochastic Programming

Wind power energy has a renewable growth rate and tremendous economic benefits, but its randomness and intermittent increases the technical difficulty of the power system dynamic economic dispatch.This paper following the principles of modern electric market competition schedule is proposed a wind-hydro-thermal dynamic economic dispatch strategy based on two-stage stochastic programming with compensation. This strategy is committed to optimal economic profit by using hydro and thermal power to eliminate the intermittent impact of wind power, and the two-stage stochastic programming model is to reflect the deviation between the scheduling situation and the actual situation caused by the wind power intermittently.Model building requires scenario tree theory as support, taking real-time scheduling and dispatching before trading mechanism, using the value and probability of the classified price and wind power to make the randomness into deterministic problem. In this Model, the first stage decision is made before the actual market to get the most cost-effective; second stage is the feedback of the first stage to make penalties when devision appeared. Compromise between the interests of a balanced solution allocation principles and risk assessment indicators to determine the final revenue for each power plant, the system is re-allocated to maintain the expected benefits and risks, and increase power generation company initiative in scheduling. By calling GAMS software DICOPT solver to solve the high-dimensional, nonlinear, multi-constrained mixed integer programming problems, a combination of different examples verify the feasibility of the method and model.When the load level is consistent, whether to consider multiple studies comparing the random scene wind-hydro-thermal systems revenue, indicating the introduction of random scenes, the proposed strategy is feasible and improves the company’s total revenue generation. In equilibrium solution optimizes water and fire power gains proved reasonable Masonic importance of multi-source build dynamic scheduling strategy for creating a win-win economic pattern. When the value of the higher tariff imbalances, and tends to a constant decline in total revenue value, then the actual revenue generating companies can choose whether to accept the desired wind power scheduling, improve power generation initiative and foresight.