并网光伏电站储能优化配置的机组组合分析方法研究

For the photoelectric consumptive bottleneck of the grid-connecting large-scale photovoltaic power, the unit combined analysis method is adopted to optimize the energy storage system and stabilize the fluctuation and intermittence of the PV output. The energy storage optimal allocation of the photovoltaic power station is the focus, which improves the reliability and economy of the power supply system. The research of the influence on the power system, which is caused by the grid-connecting photovoltaic power station, has not been carried out. The large-scale grid-connecting photovoltaic power not only brings rich power, but also brings more uncertain factors to the power system. With the development of energy storage technology, the power system operational decision puts forward new requirements to the optimal energy storage allocation in the photovoltaic power station. On the basis of the previous research, for the coordinated operation between the grid-connecting photovoltaic power station and energy storage system, the multi-scenario analysis method is employed to build a multi-scenario, high dimension security constrained unit commitment model which considers the coordinated operation between the photovoltaic and energy storage. The Benders decomposition algorithm, which can resolve the large-scale optimal problems, divides the multi-scenario into sub-problems and resolve them respectively. The calculating speed is enhanced and the robust is improved. The peak load capacity of the photovoltaic power system is introduced, the PV power system adequacy evaluation index which considers reliability completely is put forward, and the optimal allocation scheme is global optimum.

针对大规模并网光伏电站光电消纳的瓶颈问题，采用机组组合分析方法，对光伏电站的储能系统进行优化配置，用以平抑光伏出力的波动性和间歇性。对光伏电站的储能系统进行优化配置以提高供电可靠性、经济性已成为研究热点，然而考虑并网光伏电站对电网影响的研究尚未开展。光电的大规模接入给电网带来了丰富的发电资源，也给电力系统的发电侧带来了更多不确定因素。随着储能技术的发展，电力系统的运行决策对光伏电站中储能资源的优化配置提出了新的要求。基于前期的研究成果，本课题根据并网光伏电站与储能资源协调运行的特点，采用多场景分析方法，构建光伏与储能资源协调运行的多情景、高维度安全约束机组组合模型，采用求解大规模优化问题的Benders分解算法，将多情景分解为多个子问题分别求解，提高解算速度的同时增强解算的鲁棒性。引入峰荷承载能力，提出整体化考虑可靠性的含光伏发电系统充裕度评价指标，使优化配置方案全局最优。

针对大规模并网光伏电站光电消纳的瓶颈问题，采用机组组合分析方法，对光伏电站的储能系统进行优化配置，用以平抑光伏出力的波动性和间歇性。对光伏电站的储能系统进行优化配置以提高供电可靠性、经济性已成为研究热点，然而考虑并网光伏电站对电网影响的研究尚未开展。光电的大规模接入给电网带来了丰富的发电资源，也给电力系统的发电侧带来了更多不确定因素。随着储能技术的发展，电力系统的运行决策对光伏电站中储能资源的优化配置提出了新的要求。基于前期的研究成果，本课题根据并网光伏电站与储能资源协调运行的特点，采用多场景分析方法，构建光伏与储能资源协调运行的多情景、高维度安全约束机组组合模型，采用求解大规模优化问题的Benders分解算法，将多情景分解为多个子问题分别求解，提高解算速度的同时增强解算的鲁棒性。引入峰荷承载能力，提出整体化考虑可靠性的含光伏发电系统充裕度评价指标，使优化配置方案全局最优。