Abstract
Smart grid with great flexibility requirements will not accommodate high proportion of distributed generation with uncertainty in the future. Hence, it becomes indispensable to research scheduling strategy of distributed generation, aiming to reduce serious curtailment of renewable energy. This paper firstly proposes a virtual power supply, which consists of wind power (WP), photovoltaic (PV) power and pumped storage (PS) power. Based on that, a scheduling strategy structure considering stochastic characteristics caused by WP and PV is designed. After that, according to probability distribution of WP and PV, typical virtual power scenarios are obtained via scenario prediction and scenario reduction method. Furthermore, based on flexibility of virtual power and guidance of time-sharing electricity price mechanism, a coordinated scheduling model with optimization objective that maximizes profit is established. Finally, in simulation, validity of proposed model is verified via comparing with different scheduling models. Besides, profits of system under various peak-valley prices are analyzed, which can provide guidance for electricity pricing. The results illustrate that the proposed scheduling strategy can efficiently balance economy and flexibility in optimizing WP and PV consumption and profits of system are increased with 28% at most.
Highlights
There has been a significant increase in the development of distributed generation using resources such as wind power and photovoltaic power [1], [2], especially in China recently
COORDINATED SCHEDULING STRATEGY The scheduling of wind and photovoltaic power can be affected by uncertainties [24], [25], so the large-scale integration of wind and photovoltaic power will have a serious impact on the smart grid
This research focuses on the contradiction between renewable energy and the flexibility required from smart grid
Summary
There has been a significant increase in the development of distributed generation using resources such as wind power and photovoltaic power [1], [2], especially in China recently. The aforementioned research only focused on the improvement of renewable energy consumption or profit of system without considering the coordination of wind, photovoltaic and pumped storage power or uncertainty of renewable energy Both peak regulation service market and regulation ability of pumped storage still can be improved if scheduling strategy can be fully studied. This strategy develops an energy management strategy for distributed generation including wind, photovoltaic, and pumped storage power. The main contributions of the paper are presented as: (1) By considering uncertainty of wind and photovoltaic power, model of coordinated scheduling strategy for wind, photovoltaic and pumped storage power are built with an aim to maximize profit of system and improve consumption of wind and photovoltaic power.
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