Optimal Operation Control of Hydrokineticbased Hybrid Systems

Abstract

This chapter develops a mathematical programming model to optimize the operation of a hybrid energy system consisting of a hydrokinetic, photovoltaic, wind system, a battery bank, and diesel generator. The optimization approach is aimed at minimizing the cost function subject to the availability of renewable resources, total load energy requirements, as well as the diesel generator and the battery operational constraints. Furthermore, the mathematical models of all other components of hybrid, the proposed system, and the optimization control algorithm is also developed. The main purpose of the control algorithm proposed here is to minimize the use of the diesel generator in the electricity generation process, while maximizing the use of the hydrokinetic system and other available renewable energy sources. For simulation purpose, hourly water velocity, solar irradiation, wind data, and load demand data have been collected and used as an input data. The economic analysis has resulted in the calculation of optimized daily operation cost of the proposed hybrid system in summer and winter conditions. The obtained results represent also a helpful tool for energy planners and justify the consideration of hydrokinetic-based hybrid energy systems more seriously.

Optimal scheduled power flow for distributed photovoltaic/wind/diesel generators with battery storage system

“…Wind speed data measured at 10 m height at the site over a period of two years is used in this work. Two typical summer and winter load demand profiles for institutional applications based on an energy demand survey carried out in rural communities in South Africa are used and the methodology for calculating the load demand profile is as described in [30]. The load and RE data for the selected summer and winter days are as shown in Table 1.…”

“…This study emphasises mainly on the optimal energy management of the given hybrid system. The different parameters used in the simulations are given on the Table 2 [30].…”

Optimal peer‐to‐peer energy sharing between grid‐connected prosumers with different demand profiles and renewable energy sources

“…Several solvers and their areas of application may be found in reference. [20], and the ‘ fmincon ’ solver in MATLAB is used in this case to solve the developed optimisation problem.…”