Traditionally, the optimal power flow (OPF) problem is solved in a centralized manner. However, with continuous expansion of scale multi-area interconnected systems, realistic applications method face additional challenges. In this paper, we propose fully decentralized OPF algorithm for systems based on distributed interior point method, where solving regional correction equation was converted into parametric quadratic programming during each Newton-Raphson iteration. This novel approach to...

This paper presents a distribution reconfiguration framework to adapt the network considering twofold random and fuzzy uncertainties of wind, photovoltaic power generation, load demand loss reduction voltage stability. First, output models distributed generation are built based on theory. Second, corresponding objective functions established, which expected value active maximum probability limit. Third, modified particle swarm optimization (MPSO) algorithm Kruskal is introduced for first...

We investigated a multiobjective stochastic economic dispatch (MOSED) problem considering variable wind power integration. transformed this into an equivalent large-scale deterministic optimization model based on the scenario method. simultaneously minimized purchase costs and polluting gas emissions. introduced normal boundary intersection (NBI) method to convert (MOO) series of single-objective (SOO) problems, which we solved using interior-point (IPM). In process used solve each SOO...

A cluster of dc microgrids consisting multiple interconnected has great potential for improving the reliability and reducing cost power generation. In this paper, a distributed coordination control strategy is proposed to overcome series problems centralized control. This which adopts hierarchical structure based on droop method, then modified formula achieves multi-objective introduced voltage generation Besides, finite-time consensus algorithm applied obtain average value obtained in...

This study discusses the implementation of a fully decentralised optimisation for multi-area dynamic economic dispatch large-scale power systems based on cutting plane consensus (CPC) algorithm. Each area constructs local master problem to approximate original by generating its own planes and receiving from other areas, hence an upper-level coordinator is not required. Two modifications standard CPC algorithm have been developed. First, only newest are transmitted among different areas...

For large power systems with huge proportions of industrial loads, dynamic var sources (DVSs) such as STATCOMs and generators provide significant protection against short-term voltage instability. Simultaneously optimizing the locations capacities settings for adjustment coefficients generator excitation is a goal this paper; thus, we formulate multi-objective, mixed-integer optimization (MOMIDO) model subject to security rotor-angle stability under multiple contingencies. We also present...

The integration of a large number distributed energy resources into the distribution system poses operational challenges and creates opportunities to generate profits in electricity market. In this study, multileader one-follower model is built elaborate Nash–Stackelberg game market, where company participates competition with generation company. company, as one leader, decides on bidding price quantity maximize its market by integrating multiple systems after satisfying local demand,...

In this paper, we establish a mathematical model of the multi-objective reactive power optimization (MORPO) problem in an ac-dc hybrid system. To get evenly distributed set Pareto solutions MORPO throughout whole day, propose piecewise normalized normal constraint (PNNC) method. Based on method, frontier is divided into four arcs so that fluctuation angle between tangent line at each point and its sub-Utopia reduced. By doing so, original transformed sets single objective problems, which can...

The dynamic economic dispatching of power system connected with multiple wind farms is a typical stochastic programming problem. How to model the randomness and how solve this complex optimization problem are key points. In paper, copula theory used formulate correlation multiwind generation. Then, founded fuel consumption, gas pollution emission fees, electricity purchase costs as optimized objective. two-stage compensation algorithm then introduced algorithm, conventional (nonstochastic)...