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This paper proposes a method for sizing power capacity of the battery energy storage system (BESS) in order to improve power system reliability of a remote area with self-sustainable energy. Microgrid operation is designed to optimally utilize local generations by minimizing tie-line flow from the main grid. The formulated optimization problem can be conveniently solved using linear programming technique...
In a coal-fired power generation system, energy efficiency is increasingly focused on due to the fact that the key indices of power plant such as coal cost and emission are closely related to energy efficiency. However, many coal-fired power plants lack effective energy efficiency program due to: diversified unit equipment type, insufficient or outdated original parameter setting, or diversified operation...
As modern wind farms have the ability to provide regulation service for the power system, wind power plant operators may be motivated to participate in the regulating market to maximize their profit. In this paper, an optimal regulation service strategy for a wind farm to participate in the regulating market is proposed. The relationship between up regulation price and wind power level, and the relationship...
This paper proposed an economic dispatch scheme based on stochastic frame. Compared with conventional dispatch, the stochastic dispatch fully considers the variation of distributed load variations in the grid between dispatch intervals. The objective function of the stochastic dispatch scheme aims to minimize the distribution of fuel cost rather than a single value. Due to the stochastic analysis,...
This paper presents an evolutionary algorithm, reference point based multi-objective group search optimizer using non-dominated sorting approach (r-NSGSO), for optimal power flow problem with multiple objectives. First, the six objectives of optimal power flow are reduced to two objectives which represent the secure and economic indices, respectively. The r-NSGSO integrates the non-dominated sorting...
This paper introduces the use of the Swarm Variant of the Mean-Variance Mapping Optimization (MVMO-S) to solving the multi-scenario problem of the optimal placement and coordinated tuning of power system damping controllers (POCDCs). The proposed solution is tested using the classical IEEE 39-bus test system, New England test system. This papers includes performance comparisons with other emerging...
This paper focuses on implementing a dimensional Q-learning (DQL) for solving reactive power optimization with discrete control variables. The proposed algorithm applies the traditional Q-learning to search the feasible region dimensionally, so that the memory amount of each agent can be largely reduced. Meanwhile, the safety margin of voltage amplitude and reactive power output of generators are...
This paper presents a novel fault diagnosis model for oil-immersed power transformers based on dissolved gas analysis. The model is rooted on the theories of rough set and support vector machine. A fitness function based on attribute dependence is developed to identify fault features to improve classification accuracy of transformer fault samples by using Genetic Algorithm. To get improved classification...
This paper presents an optimal day ahead schedule for a smart distribution network (SDN) using Electric vehicles (EVs) as one of the distributed energy resource (DER) in accordance with the variation in power market price. To avoid the adverse effect of massive EV integration on SDN, a coordinated charging/discharging strategy is worked out. Thus, the main objective is to minimize the hourly operational...
Due to the power peak load shifting, flexible load has considerable schedulable potential and could effectively improve the active distribution network (ADN) operation. After analyzing the scheduling mode and response characteristic of two typical flexible loads, this paper proposed a model for multiperiod service restoration in ADN with flexible load participated. On the basis of flexible load interruption...
A new methodology for optimal development of distribution networks with low carbon technologies is proposed in this paper. The complete planning model is developed as a two-stage optimization process, where the first stage deals with the investment problem and the second stage focuses on the operational aspects. The novelty of the proposed investment model is explicit incorporation of network security...
Due to the energy crisis, environmental contamination and other problems related with conventional generations, it is essential to consider the integration of renewable energy, especially wind power. This paper, therefore, outlines the design and study of an interval optimization model to determine optimal wind capacity in an existing power grid. Interval wind capacity factor is proposed to analyze...
Environmental concern on fossil fuel power plants has been one of the drivers for the growth of renewable energy (RE) plants, particularly solar PV (SPV). Hence, it is imperative that the SPVs are connected to the power grid at suitable location to reduce technical losses and also provide peak load shaving. This would also require the determination of appropriate sizing and power factor of SPVs to...
This paper presents two improved models based on the first-order multi-variable grey model (GM(1, N)) for forecasting the electricity demand. The first model named IGM1(1, N) is developed through the optimization of background value by Lagrange mean value theorem (LMVT). Another model named IGM2(1, N) is established through the calculation of its boundary value using least square method (LSM). Despite...
The coordinated control and management of distributed generators and renewable energy resources together with controllable loads and storage systems are the most important and challenging tasks in micro grid operation. Micro grid can be operated in grid-connected mode or in islanded mode. Typically, energy storage systems are repeatedly proposed to support frequency and voltage control of micro grids...
This paper proposes an online optimal power management problem for microgrid energy market considering electric vehicle (EV) charging/discharging, load curtailment and grid power transactions. Fuel and emission costs of conventional sources, hourly profits, incentives for load curtailment, revenue/cost of grid power trade and charging/discharging price of electric vehicles (EV) are considered by the...
The electrification of heating and transportation along with the penetration of renewable energy in electricity networks has necessitated the evolution of low voltage distribution grids into smart grids. Contemporary, smart grids are realised by smart meter installations to electricity end users. In the literature, these meters aim at online metering of the grid status. Depending on this status, proactive...
In this paper, we investigate two decomposition methods for their convergence rate which are used to solve security constrained economic dispatch (SCED): 1) Lagrangian Relaxation (LR), and 2) Augmented Lagrangian Relaxation (ALR). First, the centralized SCED problem is posed for a 6-bus test network and then it is decomposed into subproblems using both of the methods. In order to model the tie-line...
Optimal sizing of Distributed Energy Resources (DERs) in a typical microgrid is a complex multi-objective problem. The multi-objective optimization problem modeling plays important role in DERs planning. In this paper, the Pareto front solutions is proposed as a multi-objective problem formulation in order to optimal sizing of DERs. Based on Pareto front solutions each objective function has a dimension...
This paper addresses the siting and sizing of electric vehicle (EV) charging stations in the distribution system as a multi-objective optimization problem. The minimization of total real power loss and total voltage deviation are considered as the objective functions of the problem. An algorithm based on integration of Non-dominated Sorting Genetic Algorithm II (NSGA-II) with Gauss-Seidel load flow...
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