Optimal Allocation of Renewable Energy Hybrid Distributed Generations for Small-Signal Stability Enhancement

Abstract

This paper solves the allocation planning problem of integrating large scale renewable energy hybrid distributed generations and capacitor banks into the distribution systems. Extraordinarily, the integration of renewable energy hybrid distributed generations such as solar photovoltaic, wind, and biomass takes into consideration the impact assessment of variable generations from PV and wind on the distribution networks’ long term dynamic voltage and small-signal stabilities. Unlike other renewable distributed generations, the variability of power from solar PV and wind generations causes small-signal instabilities if they are sub-optimally allocated in the distribution network. Hence, the variables related to small-signal stability are included and constrained in the model, unlike what is obtainable in the current works on the planning of optimal allocation of renewable distributed generations. Thus, the model is motivated to maximize the penetration of renewable powers by minimizing the net present value of total cost, which includes investment, maintenance, energy, and emission costs. Consequently, the optimization problem is formulated as a stochastic mixed integer linear program, which ensures limited convergence to optimality. Numerical results of the proposed model demonstrate a significant reduction in electricity and emission costs, enhancement of system dynamic voltage and small-signal stabilities, as well as improvement in welfare costs and environmental goodness.

Small-Signal Stability Analysis for Power System Frequency Regulation with Renewable Energy Participation

“…e Lyapunov linearization method is related to the local stability of nonlinear systems. e basic idea is to obtain the local stability of nonlinear systems near their equilibrium operation points from the linear approximation stability property of nonlinear systems [20][21][22].…”

Clean Energy Solutions and Sustainable Development

“…It is undeniable that an increasing population and escalating middle class present peculiar challenges to the global energy scene and sets it in a flux (Jianzhong et al 2018). It is therefore critical to promote accessibility to clean and affordable energy for the global populace and limit climate change, without halting socioeconomic development (Ajeigbe et al 2019). This requires a global response, hence the aim of SDG 7 to promote access to affordable and clean energy for everyone.…”

Stochastic Optimization of Microgrid Participating Day-Ahead Market Operation Strategy with Consideration of Energy Storage System and Demand Response

“…The effective use and development of renewable energy has become an important part of the energy development strategy of all countries in the world [1]. According to the statistics released by the International Renewable Energy Agency (IRENA) in 2018, the global renewable energy generation accounts for one-third of the total generation [2]. In 2018, the newly installed capacity of renewable energy in the word was 171GW [3], the year-on-year growth rate was 7.9%, and two-thirds of the new power generation came from renewable energy [3].…”

“…Considering the limitations of single-objective optimization, other scholars use multi-objective optimization to explore this problem [15][16][17]. (2) The different factors that are considered as main features of microgrid operation models (references [18][19][20]) have investigated the optimal operation of microgrids with consideration of distributed renewable energy. In References [21,22], the optimal operation of microgrids is modeled and solved under the background of smart grids.…”