Abstract
When large amounts of wind power and solar photovoltaic (PV) power are integrated into an independent power grid, the intermittent renewable energy destabilizes power output. Therefore, this study explored the unit commitment (UC) optimization problem; the ramp rate was applied to solve problems with 30 and 10 min of power shortage. The data of actual unit parameters were provided by the Taiwan Power Company. The advanced priority list method was used together with a combination of a generalized Lagrangian relaxation algorithm and a random feasible directions algorithm to solve a large-scale nonlinear mixed-integer programming UC problem to avoid local and infeasible solutions. The results showed that the proposed algorithm was superior to improved particle swarm optimization (IPSO) and simulated annealing (SA) in terms of the minimization of computation time and power generation cost. The proposed method and UC results can be effective information for unit dispatch by power companies to reduce the investment costs of power grids and the possibility of renewable energy being disconnected from the power system. Thus, the proposed method can increase the flexibility of unit dispatch and the proportion of renewable energy in power generation.
Highlights
With the advancement of renewable energy technologies and the rising enthusiasm for environmental protection, various countries have proposed energy strategies emphasizing the increase of renewable energy power generation to reduce reliance on fossil fuel power generation
The dispatching principles are as follows: Units that are below the red line are base-load units, and those that are above the red line are peak-load units
The advanced priority list (APL) method selected six peak-load units and six base-load units that were not involved in the dispatch, and eight intermediate-load units that were involved in the dispatch
Summary
With the advancement of renewable energy technologies and the rising enthusiasm for environmental protection, various countries have proposed energy strategies emphasizing the increase of renewable energy power generation to reduce reliance on fossil fuel power generation. The Taiwanese government has actively promoted the development of renewable energy in recent years, planning to achieve a total of 27 GW renewable power capacity by 2025, which will account for 20% of the total power capacity and will include 4.2 GW of offshore and onshore wind power and GW of solar PV. Sci. 2019, 9, 421 solar PV and wind power generation, respectively. The short-term goal comprised a total installed capacity of PV of 1520 MW and cumulative installed capacities of onshore and offshore wind power of and 520 MW, respectively [2]. Base-load Unit: The base-load units can operate stably for a long time, featuring low cost of variation and high rated capacity. Peak-load Unit: The peak-load units can be started up and shut down immediately to fill the power gap at the peak time in a timely manner, such as fuel-fired and gas-fired generating units
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
