新型电力系统下计入爬坡与互补特性的储能电站容量分配策略

Capacity Allocation Strategy for Energy Storage Power Stations Considering Ramp and Complementary Characteristics in the New Power System

中文关键词:爬坡市场  多级市场  新能源互补  容量分配策略  自适应粒子群算法

keywords:ramping market  multilevel market  complementary renewable energy sources  strategies for capacity allocation  adaptive particle swarm optimization

中文摘要:爬坡市场的引入增加了新型电力系统的灵活调节能力，储能作为电力市场新主体，如何分配容量实现收益最大化是首要问题。提出了一种与新能源互补以及独立参与电能量和爬坡等多级市场的双模式下储能机组容量分配策略。考虑到新能源出力与爬坡需求的相互关系，构建了双模式下储能机组容量分配的双层模型，上层模型以储能机组收益最大化为目标做出容量分配决策；下层模型以总成本最低为目标进行电能量和爬坡市场的联合出清。同时还模拟了多场景下系统的收益和各项资源的价格，通过双层自适应粒子群算法（bi-level smart adaptive particle swarm optimization，BSAPSO）对模型进行求解。仿真结果表明，储能机组采用文中提出的容量分配策略，与新能源灵活互补，有效降低了新能源的波动率，增加了储能在市场中的总体收益，为储能在可持续发展中提供了新思路。

Abstract:The introduction of ramping markets enhances the flexible regulation capability of the new power system.As a new entity in the electricity market，energy storage operators face the primary issue of how to allocate capacity to maximize revenue.This paper introduces a capacity allocation strategy for energy storage units under a dual-mode operation—complementary to new energy and independent participation in multi-level markets such as energy and ramping markets—is proposed.Considering the interrelationship between new energy output and ramping requirements，a bi-level model for capacity allocation of energy storage units under the dual-mode operation is constructed.The upper-level model makes capacity allocation decisions to maximize the revenue of energy storage unit while the lower-level conducts joint clearing of the energy and ramping markets to minimize the total cost.Additionally，the system's revenue and the prices of various resources under multiple scenarios are simulated.The model is solved using a bi-level smart adaptive particle swarm optimization （BSAPSO） algorithm.Simulation results demonstrate that the capacity allocation strategy proposed in this paper enables energy storage units to complement new energy flexibly，effectively reducing the costs and improving the overall efficiency of the new power system，providing new ideas for the sustainable development of power systems.