基于二阶段随机规划的风—水—火动态经济调度策略

发布时间：2018-10-25 19:08

【摘要】：风能作为可再生能源的后起之秀,蕴藏着巨大的经济效益,但其随机性与间歇性已然成为大规模风电并网的瓶颈,增加了电力系统动态经济调度的技术难度,也影响了发电公司的收益。本文遵循现代电力市场竞争调度原则,提出一种考虑利益重配机制的风水火二阶段随机动态经济调度策略,旨在实现能源互补、利益共赢。策略以发电公司总收益最优为导向,借水电、火电常规电源稳定可靠的发电能力辅助消除风电功率间歇变化对电力系统产生的冲击,利于处理风电随机扰动影响决策执行的问题。模型构建需要场景树理论作为支撑,将分类电价与风电功率的随机性问题转化成确定性问题。建模中,第一阶段寻求给定条件下日前市场最具经济效益的出力方式,称为计划出力；第二阶段引入不平衡电价评估风电实际调度不满足计划出力的惩罚,并借助水火电稳定调节能力对不平衡量进行补偿,完成实时市场细化时间区间内的反馈修正。统筹两阶段问题解算出最优收益,依据均衡解法利益重配与风险评估指标确定风水火各自最终收益。本策略能将系统重新分配的收益与风险维持在预期水平,增加发电公司在调度中的主动性,通过调用GAMS软件的DICOPT求解器解决了高维、非线性、多约束的混合整数规划问题,结合不同算例验证了所述方法与模型的可行性。负荷水平一致时,对比是否考虑随机场景下风水火系统收益的多个算例,表明引入随机场景后,所提策略可行且提高了发电公司的总收益。在均衡解法下优化了水火电源收益,验证了合理构建多源共济动态经济调度策略对创造共赢格局的重要性。不平衡电价取值较高时,总收益下降并趋于恒定值,此时发电公司可以通过实际收益期望选择是否接纳风电并网调度,提高发电主动性和预见性。
[Abstract]:As the rising star of renewable energy, wind energy has great economic benefits, but its randomness and intermittency have become the bottleneck of large-scale wind power grid connection, which increases the technical difficulty of dynamic economic dispatch of power system. Also affected the power generation company's income. Following the principle of competitive dispatch in modern electric power market, this paper presents a two-stage stochastic dynamic economic scheduling strategy for feng shui fire considering the mechanism of benefit redistribution, which aims at realizing energy complementarity and win-win benefits. The strategy is based on the optimal total income of the power generation company. By means of hydropower, the stable and reliable generating capacity of conventional thermal power supply helps to eliminate the impact of intermittent variation of wind power on the power system. It is propitious to deal with the problem that random disturbance of wind power affects decision execution. The model construction needs scene tree theory to transform the stochastic problem of classified electricity price and wind power into deterministic problem. In modeling, the first stage is to seek the most economical way for the pre-day market under given conditions, which is called "planning force". In the second stage, the penalty of unbalance electricity price is introduced to evaluate the actual dispatch of wind power, and the feedback correction in the time range of real-time market refinement is completed with the help of the ability of hydro-thermal power stability regulation to compensate the unbalanced amount. The optimal income is calculated by solving the two-stage problem as a whole, and the final income of feng shui fire is determined according to the equilibrium solution and the risk evaluation index. This strategy can maintain the income and risk of system redistribution at the expected level, increase the initiative of power generation companies in scheduling, and solve the high dimensional, nonlinear, multi-constraint mixed integer programming problem by calling the DICOPT solver of GAMS software. The feasibility of the method and model is verified by different examples. When the load level is the same, a number of examples of wind and water heating system under random scenarios are compared, which shows that the proposed strategy is feasible and improves the total revenue of power generation companies after introducing the random scenario. Based on the equilibrium solution, the benefits of water and fire power are optimized, and the importance of constructing multi-source dynamic economic scheduling strategy for win-win situation is verified. When the value of unbalanced electricity price is higher, the total income decreases and tends to a constant value. In this case, the power generation company can choose whether to accept wind power grid scheduling or not through the actual income expectation, so as to improve the initiative and predictability of power generation.
【学位授予单位】：广西大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM73

【参考文献】