风电场储能系统的优化配置及运行研究

发布时间：2018-04-15 10:32

本文选题：风电场 + 电池储能系统　；参考：《华北电力大学》2014年硕士论文

【摘要】：风力发电是当前发展技术最成熟、商业化发展程度最高、开发规模最广泛的可再生能源发电技术。但是,风能的随机性和间歇性给电力系统的安全稳定和经济运行带来了一系列问题,而储能系统与风电场联合运行恰能较好地解决这些问题。因此,本文在国内外相关理论成果和应用研究的基础上,针对风电场储能系统的控制策略和容量的优化配置及风电-储能系统联合运行开展了以下深入研究：为了平滑风电场输出功率,避免储能系统出现过度充电或深度放电的状况,本文提出了一种储能系统与风电场联合运行的控制策略。在电池储能系统(BESS)模型的基础上,提出表征电池储能系统运行状况的两个指标,采用一阶低通滤波器来确定风电并网功率参考值,并将模糊自适应控制策略引入到风电场储能系统的控制中,实时调整储能系统输出/吸收的功率,使其荷电状态(SOC)被有效控制并维持在一个合理水平,有利于延长储能系统的使用寿命。通过对有无模糊自适应控制两种情况进行仿真分析,结果验证了所提控制策略的有效性。为了提高与风电场运行的储能系统经济性,本文提出了一种风电场储能系统的容量优化配置策略,以储能单元的全生命周期成本最小为储能容量的优化目标,以发电系统能量缺失率等运行指标为约束条件,建立了风电场储能系统容量优化模型,运用粒子群算法对该优化模型进行求解计算。通过算例,验证了所建模型的正确性和有效性,同时也为风力发电系统中储能单元的最优容量配置提供了参考。以风电-储能联合运行的总收益最大为目标,建立了含联合出力惩罚约束的风电-储能联合日运行优化调度模型。通过线性化处理,将复杂的联合运行优化难题转化为混合整数线性规划,最后通过调用GAMS软件中的CPLEX对模型进行求解。同时分别分析了不同场景下的风电场独立运行和风电-储能联合运行的经济性。算例结果表明,风电-储能联合运行可降低风电出力波动对系统运行的影响,同时也减轻电网的调度压力,明显提高了风电场效益,具有较好的经济性。
[Abstract]:Wind power is the most mature technology development, commercial development and the highest level of development the most extensive scale renewable energy power generation technology. However, the randomness and intermittence of wind brings a series of problems for the safe and economical operation of the power system, and combined with energy storage and wind farm operation system can better solve these problems therefore, based on the domestic and foreign related theories and Application Research on the configuration and the wind energy storage and operation system are carried out in-depth research on optimal control strategy and capacity of wind farm energy storage system:
In order to smooth the output power of wind farm, to avoid excessive charging energy storage system and deep discharge condition, this paper proposes a control strategy of energy storage system and the combined operation of the wind farm. In the battery energy system (BESS) based on the model, put forward two indexes of battery energy storage system operating conditions, to to determine the wind power grid power reference value using a low-pass filter, and adaptive fuzzy control strategy is introduced to the wind farm control system in energy storage, power system output / absorption adjustment of storage in real time, the state of charge (SOC) was effectively controlled and maintained at a reasonable level, to extend the energy storage system life. The simulation of a fuzzy adaptive control in two cases, results verify the effectiveness of the proposed control strategy.
In order to improve the operation of wind farms and energy storage system economy, proposed capacity allocation strategy for a wind energy storage system, the storage unit of the minimum life cycle cost as optimization target storage capacity, the operation index of power system energy loss rate as constraint conditions, a wind farm energy storage capacity optimization model system, using particle swarm optimization algorithm for computing the optimal model. Through an example, verify the correctness and validity of the model, and also provides a reference for the optimal allocation of capacity of energy storage unit of wind power generation system.
To wind power and energy storage revenue combined operation as the goal, scheduling model is set up on the joint operation of wind power energy storage with combined punishment constraint. Output by linearization, the complex joint operation optimization problem into a mixed integer linear programming, finally by using GAMS software in CPLEX to solve the model. At the same time were analyzed under different scenarios of wind farm operation and independent wind power - energy economy of the combined operation. Numerical results show that the wind power energy storage and operation can reduce the wind power output fluctuation effect on the operation of the system, but also reduce the pressure of power grid scheduling, improve the wind the electric field effect, has a good economy.

【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM614

【参考文献】