Voltage stability has become one of the major concerns of many electric utilities all over the world. This paper presents an Artificial Neural Network (ANN) based model for on-line voltage stability assessment. Maximum L-index of the load buses in the system is taken as the indicator of voltage instability. Pre-contingency state power flows are taken as the input to the neural network. The key ...

Problem statement: During service restoration, the power level at buses can significantly differ from the one presented under steady-state conditions, demanding an amount of electric power significantly higher than the normal load. Hence, their post-outage behavior must be adequately forecasted in order to permit the development of reliable restoration plans, or to avoid inadequate actions that...

In this paper, a novel algorithm for the load flow analysis problem in an islanded microgrid is proposed. The problem is modeled without any slack bus by considering the steady state frequency as one of the load flow variables. To model different control modes of DGs, such as droop, PV and PQ, in an islanded microgrid, a new formula for load flow equations is proposed. A hybrid optimization alg...

The electrical deregulated market increases the need for short-term load forecast algorithms in order to assists electrical utilities in activities such as planning , operating and controlling electric energy systems. Methodologies based on regression methods have been widely used with satisfactory results. However, this type of approach has some shortcomings. This paper proposes a shortterm lo...

Accurate forecasting of electric load has always been the most important issues in the electricity industry, particularly for developing countries. Due to the various influences, electric load forecasting reveals highly nonlinear characteristics. This paper creates a system for power load forecasting using support vector machine and ant colony optimization. The method of colony optimization is ...

battery pack is the main energy storage element, and directly affects the performance of electric vehicle. this paper selects the forced air cooling of horizontal battery pack as the study object, and researches the heat dissipation performance of different operating conditions with fleunt software. results indicate that: according to the four kinds of transient state conditions and steady stat...

For electric utilities, demand-side management (DSM) can reduce electric load and shift load from peak to off-peak periods. In general, the investor in DSM collects the reward with lower electric bills, excepting a positive externality because of reduced tropospheric and stratospheric air pollution from fossil fuel power plants. In warm climates, DSM options include increasing albedo and vegeta...

For fuel economy of power system, Plug-in Hybrid Electric Vehicle (PHEV) should be charged late at night to level a load curve. This paper proposes an electricity pricing algorithm for load leveling, using variation method. Variation method is a mathematical technique that can bring a value of integral functional to the extreme value. We formulate a cost minimization problem of PHEV owners, reg...