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[IEEE 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) - Chengdu, China (2019.5.21-2019.5.24)] 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) - Optimized Operation of Photovoltaic and Pumped Hydro Storage Hybrid Energy System in the Electricity Market
摘要： At present, the electricity market is relatively free and open for investors. With the development of the renewable energy technology, investing in a hybrid renewable energy system, such as photovoltaic-pumped hydro storage (PV-PHS) and wind-battery hybrid energy system, in the electricity market may be a promising choice for investors to obtain the profits. Therefore, in this paper, the optimal operation strategy of the PV-PHS hybrid energy system in the electricity market is proposed. The sequential quadratic programming (SQP) method is used to find the optimal operation strategy with maximum income. Moreover, the influence of various rated power of the reversible pump and capacity of the upper reservoir on the daily income is investigated. The results show the PHS have a significant improvement on the daily income, especially when the fluctuation of the electricity price is high.
关键词： optimal operation strategy,PV-PHS hybrid energy system,sequential quadratic programming,electricity market
更新于2025-09-23 15:21:01
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Optimal Design Method of a Hybrid CSP-PV Plant Based on Genetic Algorithm Considering the Operation Strategy
摘要： Solar energy is the most abundant renewable energy and it has a great potential for development. There are two ways to transfer solar energy to electricity: photovoltaic power generation (PV) and concentrated solar power (CSP). CSP-PV hybrid system can be fully integrated with the advantages of the two systems to achieve low cost, stable output, and manageable to generate electricity. In this paper, the operation strategy of the CSP-PV system is proposed for parabolic trough CSP system and PV system which are now commercially operated. Genetic algorithm is used to optimize the design of the system and calculate PV-installed capacity, battery capacity, and storage capacity of CSP system, making the system to achieve the lowest cost of electricity generation. The results show that the introduction of the CSP system makes it possible to ensure the stability of the output power of hybrid system when the battery capacity is small, which greatly improves the annual utilization time of the PV and reduces solar abandonment. When the system is optimized by operation characteristics of Spring Equinox, the lowest LCOE is 0.0627 $/kWh, the rated capacity of PV and CSP system are 222.462 MW and 30 MW, storage and battery are 356.562 MWh and 14.687 MWh. When the system is optimized by the operation characteristics of the whole year, the lowest LCOE is 0.0555 $/kWh, the rated capacity of PV and CSP system are 242.954 MW and 30 MW, respectively, and the capacity of heat storage and battery are 136.059 MWh and 8.977 MWh. The comparison shows that the power generation curves of the hybrid system are similar in the two optimization-based methods—Spring Equinox based and annual based, but LCOE is lower when optimized by the annual operation characteristic, and the annual utilization rate of the system is higher when optimized by Spring Equinox based.
关键词： concentrated solar power,operation strategy,genetic algorithm,LCOE,photovoltaic power generation,solar energy,CSP-PV hybrid system
更新于2025-09-11 14:15:04
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Operation strategy of a hybrid solar and biomass power plant in the electricity markets
摘要： With the potential of low levelized cost of electricity (LCOE) and high dispatchability, the hybrid solar and biomass power (HSBP) plant will become an increasingly attractive alternative of fossil energy in the future. However, the combination of biomass fuels, uncertain solar energy and thermal energy storage (TES) system makes energy flow in HSBP plant more intricate. This problem poses a significant challenge to HSBP plant operation in the electricity markets especially with uncertain market prices. In this paper, the linear operation model of HSBP plant is developed to describe the intricate energy flow and technical constraints. In order to maximize the revenues of HSBP plant in electricity markets, an optimal operation strategy is proposed by taking into account the daily variation of market prices. The uncertainties of solar irradiation and market prices are modeled with stochastic programming approach, i.e. a set of scenarios. The large number of scenarios is reduced to relieve the computational burden of mixed integer linear programming (MILP) problem. In addition, the conditional value at risk (CVaR) is adopted to consider the risk hedge. The validity of the proposed model is demonstrated by case study results.
关键词： Hybrid solar-biomass power plant,Stochastic programming,Optimal operation strategy,Conditional value at risk
更新于2025-09-10 09:29:36