A Multiobjective Robust Scheduling Optimization Mode for Multienergy Hybrid System Integrated by Wind Power, Solar Photovoltaic Power, and Pumped Storage Power

Abstract

Wind power plant (WPP), photovoltaic generators (PV), cell-gas turbine (CGT), and pumped storage power station (PHSP) are integrated into multienergy hybrid system (MEHS). Firstly, this paper presents MEHS structure and constructs a scheduling model with the objective functions of maximum economic benefit and minimum power output fluctuation. Secondly, in order to relieve the uncertainty influence of WPP and PV on system, robust stochastic theory is introduced to describe uncertainty and propose a multiobjective stochastic scheduling optimization mode by transforming constraint conditions with uncertain variables. Finally, a 9.6 MW WPP, a 6.5 MW PV, three CGT units, and an upper reservoir with 10 MW⋅h equivalent capacity are chosen as simulation system. The results show MEHS system can achieve the best operation result by using the multienergy hybrid generation characteristic. PHSP could shave peak and fill valley of load curve by optimizing pumping storage and inflowing generating behaviors based on the load supply and demand status and the available power of WPP and PV. Robust coefficients can relieve the uncertainty of WPP and PV and provide flexible scheduling decision tools for decision-makers with different risk attitudes by setting different robust coefficients, which could maximize economic benefits and minimize operation risks at the same time.

Hybrid Pumped Hydro Storage Energy Solutions towards Wind and PV Integration: Improvement on Flexibility, Reliability and Energy Costs

“…As for solar energy although less fluctuating, it only works during day light hours. It offers more reliable power and can be committed and managed, using relatively smaller energy storage systems to provide continuous and quality power [27]. According to [19], pumped hydropower storage plants have several advantages, such as (1) flexible start/stop and fast response speed, (2) ability to track load variations and adapt to severe load changes, (3) capacity to modulate the frequency and maintain voltage stability and face climate change and reduce footprint effects on an integrated solution.…”

A multi‐energy complementary coordinated dispatch method for integrated system of wind‐photovoltaic‐hydro‐thermal‐energy storage

“…Comparing the total power output of wind and photovoltaic with the feasible operation region of renewable energy generation, the dispatch strategy that can maximize the total power output of wind and photovoltaic is proposed. Because the goal of this paper is to reduce the amount of abandoned wind, abandoned photovoltaic, and abandoned water, and compared with the thermal power units, the start‐stop time of the hydropower units is short, and the adjustment is rapid; the hydropower units are scheduled preferentially. Based on residual load (the difference between the feasible operation region of renewable energy generation and the power output of renewable energy) and plan for water, the dispatch model of hydropower units is established.…”

Energy Storage Coordination in Energy Internet Based on Multi-Agent Particle Swarm Optimization

“…as weight coefficients of objective function C and E, and the united objective function is γ. The normalized and dimensionless process of the objective function values is expressed in Equation (19) [68].…”