The participation of renewable energy in the clearing of the electricity spot market requires consideration of demand side response and coordination between energy storage. To ensure the improvement of market benefits among multiple entities, optimization research should be conducted on the traditional clearing strategy of the electricity spot market. Considering the benefits of all parties involved in the clearing stage, incorporating the adjustment needs of different peak valley differences in the power grid into the bidding process, and proposing a spot trading system that considers the allocation of income from the generation, network, load and storage side; To ensure low-carbon operation of the system, carbon emission trading on the energy supply side is considered, and an optimization model for electricity spot market clearing based on the coordination of benefits among the energy supply side, energy storage side, power grid side, and demand side is established. The effectiveness and superiority of the proposed model are verified through numerical simulation analysis.
Energy needs are increasingly diverse and the share of renewable energy has also increased. This article suggests a bi-level optimal allocation method for flexible resource capacity of new energy towns considering uncertainty. Combined with the scenario where the proportional selection method is used to generate the joint probability product of power supply and load, the data of a representative day is chosen as input, which is the day on which the maximum probability is selected by using the reduction technique. The planning layer aims at the lowest annual investment and operating and tending expenses. The number and size of flexible resources are determined, such as ground-source heat pumps, energy storage devices, and heat storage devices that should be installed. The operation layer aims at the lowest expense of fuel, operating and tending, and light abandonment penalty, and uses a genetic algorithm to solve the flexible resource optimization configuration scheme established in typical scenarios. At the end of this paper, through the simulation of a village in the north of China with more new energy sources, it is concluded that the method proposed in this article is useful.
In wind turbine applications, the energy storage system (ESS) functions as a stabilizing entity, addressing the discrepancies between wind power output and load demand. The ESS possesses significant advantages: its rapid responsiveness, bidirectional adjustment capabilities, and its operation unaffected by the wind turbine's operational state. This research examines the frequency modulation in wind turbines and assesses the ESS's involvement in this context. We conducted tests to gauge the ESS's efficiency in ensuring consistent power output from wind turbines and thwarting abrupt shifts in system frequency. The findings reveal that integrating the ESS into wind turbine operations effectively minimizes power fluctuations and offers reliable frequency modulation performance.
随着经济快速发展,电力供应需求日益增长,变电站的投运、检修工作愈加繁杂.设计一种变电站故障仿真系统,实现变电站一次、二次系统的仿真测试,验证设备性能及动作逻辑,培训现场运维人员.该系统由故障仿真后台、继电保护故障仿真装置、继电保护装置、测量控制装置、交换机装置和时钟装置组成,能提升变电站投运、检修保护试验效率,扩大保护试验覆盖面,降低试验人员专业性要求,提高变电站运行维护人员的生产技能,增强反事故处理能力.
随着新型电力系统建设持续推进,大量风电、光伏分布式接入地区电网,同时受网架结构及变电站规模等条件的限制,在某些极端情况下,可能会出现 330 kV变电站全停的情况,严重影响地区电网供电可靠性,所以需要开展新型电力系统下地区电网区域备自投研究和应用.以某地区电网为研究对象,构建主站-子站 2 层架构,明确通信和站间数据交换方式,完成区域备自投策略设计方案,并实现快速联切新能源场站功能.经过系统联调后投入运行,消除 330 kV变电站全停引起的五级电网风险,地区电网供电可靠性得到明显提高.
