Solar Forecasting And Future Sustainable Power Systems

光伏能源对发电结构的贡献持续增长。2020年，英国的装机容量为134千兆瓦，预计到2030年将增加到40千兆瓦。加速采用太阳能将对输配电系统构成重大挑战，因为太阳能不能调度，因此将其纳入发电组合的主要元素需要准确预测太阳能产量。为了解决这个问题，拟议的项目旨在提高太阳辐射的预测精度，从而加深我们对太阳能发电及其对电网影响的了解。这位博士生将专注于开发一个电价随时间变化的经济模型，考虑太阳能可用性对太阳系电力供应的影响。随后，他们将制定最终用户购买和销售太阳能电力的最优策略。第1年：对当前电网运营策略和最终用户用于购买和销售电力的模型进行文献综述。第2年：开发最终用户太阳能电力购买和销售最优策略的初始模型，纳入改进的太阳能预测数据。第3年：完善和最终确定所开发的模型，以确保最优的性能和可用性。第4年：撰写论文。

The contribution of PV energy to the electricity generation mix continues to grow. Installed capacity in the UK in 2020 was 13.4 GW and is expected to increase to 40 GW by 2030. Accelerating the adoption of solar energy will present significant challenges to the electricity transmission and distribution system, as solar power is not dispatchable and therefore its incorporation as a major element of the generation mix requires the accurate prediction of solar energy production.To address this issue, the proposed project aims to enhance the forecasting accuracy of solar radiation, thereby improving our understanding of solar power generation and its impact on the grid. The PhD student will focus on developing an economic model for electricity price variation over time, considering the availability of electricity from the solar system as influenced by solar availability. Subsequently, they will develop optimal strategies for purchasing and selling solar electricity for end users.Year 1: Conduct a literature review of current grid operation strategies and the models utilised by end users for purchasing and selling electricity.Year 2: Develop the initial model for optimal strategies concerning the purchase and sale of solar electricity for end users, incorporating improved solar forecasting data.Year 3: Refine and finalise the developed model to ensure optimal performance and usability.Year 4: Thesis writing up.