A novel model including social, environmental and economic benefits is proposed in hybrid thermal/wind power system and studied by Karush-Kuhn-Tucker and hybrid particle swarm optimization techniques. Our work is the first to develop social dispatch model by calculating risk caused by wind power. Then the novel multi-objective optimization model of social-environment-economic dispatch is establ...

The park integrated energy system (PIES) plays an important role in realizing sustainable development and carbon neutral. Furthermore, its optimization dispatch can improve the utilization efficiency reduce systems operation cost. However, randomness volatility of renewable instability load all bring challenges to optimal operation. An framework PIES is proposed, which constructs models under t...

The optimal planning of grid-connected microgrids (MGs) has been extensively studied in recent years. While most the previous studies have used fixed or time-of-use (TOU) prices for sizing MGs, this work introduces real-time pricing (RTP) implementing a demand response (DR) program according to national grid Iran. In addition long-term MG, day-ahead operation MG is also analyzed get better unde...

The inherent variability and randomness of large-scale wind power integration have brought great challenges to power flow control and dispatch. The distributed power flow controller (DPFC) has the higher flexibility and capacity in power flow control in the system with wind generation. This paper proposes a multi-time scale coordinated scheduling model with DPFC to minimize wind power spillage....

To solve the problem of large gap in regulation resources power system due to number wind connected grid and help achieve strategic energy goal “carbon neutrality carbon peaking,” demand-side adjustable energy-intensive load is taken as research object this paper, a two-stage low-carbon economic scheduling method with multi-form (MEL) proposed. First, operating characteristics MEL are analyzed....

This paper proposes a new multi-objective based adaptive immune algorithm for solving the combined economic and environmental dispatch problem. Economic dispatch problem deals with the minimization of fuel cost while satisfying a set of equality and inequality constraints. The fossil fuel plants pollute the environment by emitting some toxic gases. Therefore, the traditional minimization of cos...

The coming interaction between a growing electrified vehicle fleet and the desired growth in renewable energy provides new insights into the economic dispatch (ED) problem. This paper presents an economic dispatch model that considers electric vehicle charging, battery exchange stations, and wind farms. This ED model is a high-dimensional, non-linear, and stochastic problem and its solution req...

This paper develops an efficient and clear insight view about the application of various PSO algorithms to the economic load dispatch problem with emission restrictions as the constraint. Solution acceleration techniques in the algorithm which enhance the speed and robustness of the algorithm are developed. The power and usefulness of the algorithm is demonstrated through its application to a t...

The traditional deterministic day-ahead (DA) market clearing does not accommodate the uncertainty from variable renewable energy sources, resulting in an increasing activation of expensive reserves and curtailment events. Robust optimization (RO) has been proposed to mitigate this uncertainty. However, as RO considers worst-case scenarios, it results highly conservative solutions. This paper pr...