多能互补发电系统储电和储热容量分层优化规划方法

Hierarchical Optimization Planning for ElectricalEnergy and Heat Storage Capacity in Multi-energy Complementary Generation System

随着风、光等新能源并网容量的不断增加,储能系统作为平抑功率波动的重要手段被广泛关注,是多能互补发电系统中的重要组成部分。当前电、热等储能系统均独立规划、各自设计,联合规划时系统规划模型维度高,求解困难。基于此,提出多能互补发电系统储电和储热容量分层优化规划方法,上层模型以新能源全年时间序列出力为输入,基于储能能量型约束和功率型约束,建立时序生产模拟模型,确定所需储能系统的总容量。下层模型考虑成本来平衡各储能系统充放电功率,确定储电和储热系统容量。由于新能源出力具有不确定性,引入条件风险价值方法,考虑不确定性对储能容量规划结果的影响。案例测试结果验证了所提模型和方法的合理性和有效性。

With the increasing application of renewable energy power such as wind power and PV,the energy storage system,a major manner to suppress power fluctuation,is an important part of a multi-energy complementary power generation system.At present,most electrical or heat energy storage systems are planned and designed separately.A joint planning system model is high in dimension and difficult in solution.Therefore,a hierarchical optimization planning of the electrical and heat energy storage capacity in a multi-energy system with renewable energy integration is proposed in this paper.Taking the annual time series output of renewable energy as input,the upper-layer model establishes a time sequence simulation model to determine the total capacity of the energy storage based on the energy and power type constraints.Considering the cost constraint,the lower-layer model balances the charge and discharge power of each energy storage unit and determines the electricity and heat capacity.By introducing the conditional value-at-risk(CVaR)method,the influence of the uncertainty of the renewable energy power is considered on the result of energy storage capacity planning.Case studies verify the rationality and effectiveness of the proposed model and method.