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Due to the exhaustion of fossil fuel energy and the awareness of environmental protection, the proportion of renewable energy sources (RES) integrated to the grid is increasing rapidly. However, the uncertainty of RES poses great challenges to the stability of power systems. To solve this uncertainty problem, power system small-signal stability analysis is transitioning from deterministic methods to probabilistic methods. Power system stabilizers (PSS) are important components to suppress low-frequency oscillations and improve system dynamic response performance. But there is still a lack of systematic simulation analysis regarding the optimization effect of PSS on probabilistic small-signal stability. In response to this problem, this paper proposes a probabilistic assessment method of small-signal stability based on quantitative PSS analysis. It constructs modified IEEE-14 and IEEE-39 bus systems with RES penetration and presents a joint simulation framework for multi-machine PSS parameter optimization based on the clustered difference mean perturbation particle swarm optimization (CD-PSO) algorithm. Then quantitative analysis is conducted on the impact of PSS integration on small-signal stability under a typical RES penetration rate (20%). Finally, the influence of different RES penetration rates and load levels on small-signal stability of power systems under different PSS scenarios is investigated. • The effectiveness of PSS in small-signal stability are revealed quantitatively. • CD-PSO algorithm for PSS parameter optimization is proposed. • A joint simulation framework for multi-machine systems with RES is presented. • A probabilistic assessment method of small-signal stability is proposed. • Sensitivity analysis of RES penetration rates and load levels is implemented. [ABSTRACT FROM AUTHOR]

• Site suitability assessments are at the heart of renewable energy planning. • A collaborative approach enables developing a fit for purpose decision-support tool. • Stakeholder-driven site suitability criteria supports transparent decisions. • The tool supports informed discussions and fosters consensus on deployment areas. • Data and technological limitations signal action areas for advancing practice. Competing land-use demands associated with planning for renewables is resulting in growing social and political challenges. Spatial decision-support tools are being developed and applied to tackle some of these challenges by facilitating systematic identification of suitable development sites based on technical, environmental and socio-economic criteria. Nevertheless, decision-support tools are often developed with limited input from stakeholders affecting participative and accountable planning and decision-making. This paper aims to address this shortcoming and foster greater transparency in the development of support tools for renewable energy planning, and thus in siting decisions. It present and discusses a stakeholder-driven approach to the co-creation of an online decision-support tool that attends to planning policy, technical considerations, environmental protection and social concerns influencing renewable energy planning decisions in Ireland. This bottom-up approach, easily transferable to other jurisdictions, fosters proactive expert input, awareness raising and greater comprehensibility and acceptance of siting decisions. It also enables developing an interface that responds to users' needs. The paper contributes to advancing renewable energy planning practice through effective and meaningful stakeholder engagement that supports transparent and accountable decisions from the outset. It also highlights ongoing data and technological shortcomings affecting the integration and operationalisation of stakeholders demands and needs, which signal priority areas of action to further advance the development of renewable energy decision-support tools. [ABSTRACT FROM AUTHOR]

For the isolated island micro grid, a safe and reliable energy supply system is indispensable. Generally speaking, the power generation modules of an small and medium-sized isolated island energy system with off-grid power supply mode mainly include diesel generator(DIG) and distributed power supply. In order to smooth the power output fluctuation of wind and solar, coordinate the output of multiple energy generation technologies, and increase the penetration rate of distributed energy, it is necessary to develop a flexible and reliable energy system, and an efficient and smart scheduling strategy. In this paper, the power-to-gas (P2G) technology is introduced to construct a multi-energy complementary integrated energy system with deep coupling of power-gas network. Four possible game planning models are proposed by using game theory analysis method, and the energy scheduling strategies under each game mode are obtained by particle swarm optimization(PSO). By comparing the scheduling strategies under the four game modes, it can be found that the synergistic response of hydrogen and methane in the alliance cooperative game mode has absolute advantages in reducing the curtailment rate of wind and solar energy, balancing the income of each participant, improving the total income of the system, and saving energy and environmental protection. • A multi-energy complementary electric-gas coupled model containing five kinds of generators is established. • Four possible game modes are proposed. • Optimization of electrical load and gas load scheduling strategies for an isolated island microgrid. • Uninterrupted electricity and gas supply assured from the analysis. • The penetration rate of distributed renewable energy are improved and the share of diesel generator power is reduced. [ABSTRACT FROM AUTHOR]